 Hello, so hello and welcome, everyone. I think we're ready to begin. I would just like to first say the title of today's webinar is Open and Transparent Forest Data, Innovation and Technology for Climate Action, and thank you all for joining us so far. Before we begin, I'd like to hand over to Christina for a few words on the FAOE Learning Academy, who have kind of organized today's session. Over to Christina. Thank you. Thank you very much, Emily, and welcome everyone to this webinar on Open and Transparent Forest Data. This is one of a series of international technical webinars that are being jointly organized by the FAOE Learning Academy together with the United Nations Economic and Social Commission for the Pacific and Agrinium. This is a joint collaboration, and what I wanted to mention is that the idea is really to try to promote the thematic areas that are covered in our over 350 multilingual e-learning courses that are delivered free of charge as a global public good through the FAOE Learning Academy, so I'd like to invite you after to have a look at the offerings of the FAOE Learning Academy, and for the time being I will come back to that and I will give you also a series of links related to forestry courses, and for the time being I would like to wish you all an excellent webinar, and I give back the floor to Emily. Thank you. Thank you, Christina. So today's webinar, as Christina mentioned, is the fourth in a series organized by CBIT Forest, a global project revolving around transparency, climate change and forests, on how enhancing transparency can be achieved and how achieving transparency can actually enhance our collective climate action. We are going to be talking about the role of technology in enhancing transparency, taking a look at the latest innovations that are changing how we access and use data for good. It's fantastic to see so many of you online, I think we're about 200 right now, and we're looking forward to interacting with you today. We will have six presentations followed by a 15 minute question and answer session today, where we want to hear from you. In total, this session will last for one hour and 30 minutes. A quick word for those that have just joined on the format of this Zoom, this is a webinar, so your microphones are muted. However, this session is all about interacting with you, so please don't hesitate to pose your questions in the question and answer box that you'll see at the bottom to each of our speakers as you listen to their presentations, and if someone has already posed a question that interests you, you can give it a virtual thumbs up. You will notice there is both a Q&A box and a chat. Today my colleague Anatoly Pultohidu, who worked for FAO with the Bangladesh Forest Department for many years, will be helping me select the most appropriate questions for our speakers, and to make that easier for us to find and respond to those questions, we do ask you to please keep your questions in the Q&A box and to reserve the chat for if you have any technical problems or general comments. Let me introduce myself. My name is Emily Donegan, and I work for the National Forest Monitoring Team at the Food and Agriculture Organization of the United Nations, and I'll be your moderator for today's session. So now that you know who I am, I'd love to know more about you, and I see that many of you already have done, and that's great, so please do go ahead, pop your name and affiliation into the chat box. So without further ado, I'd like to also introduce you to our first speaker, Rocío Condor from FAO. Rocío is a forestry officer leading the Global Project CBIT Forest, building global capacity to increase transparency in the forestry sector, coordinating activities to make forest data more transparent and accessible in the context of the enhanced transparency framework. Thanks for being with us here today, Rocío, to open the webinar over to you. Thanks Emily, and thanks for giving me also the opportunity to provide some introductory remarks, and let me start by sharing with all of you three key messages. Forests play a central role in combating climate change, therefore, given the significant potential of forest improving the transparency of forest related data and information within the enhanced transparency framework of the Paris Agreement is vital. We need stakeholders and governments who are informed by and acting with better and more transparent data. A fully functional multipurpose national forest monitoring systems allows countries to achieve multiple national goals as well as to track progress on climate action and effectively report on forest related emission and removals. Building a national forest monitoring system is a complex national scale effort that must consider multiple national, institutional, technical and financial aspects. A national forest monitoring system should increase transparency, reliability of the information produced and ensure a long-term perspective. Ultimately, a robust national forest monitoring system will help countries to meet the requirements of the enhanced transparency framework. Building partnerships helps ensure the impact of forest monitoring support, including with intergovernmental and governmental organizations, resource partners, universities and civil society, especially young women and men. Efforts to support forest monitoring should focus on strengthening the development of a national forest monitoring system. Innovation and technology have a fundamental role to accelerate, accurate, open and transparent forest data for climate action. So how FAO is contributing to Towers efforts? CBT Forest is a two-year global project to step up developing countries ability to collect, analyze and disseminate forest related data to make forest data transparent and accessible in line with the enhanced transparency framework. It aims to increase institutional and technical capacities and to boost knowledge sharing and awareness raising about the ETF, particularly in the forest sector. CBT Forest builds on already existing efforts of the FAO to support countries on forest monitoring at global and national levels and the upcoming speakers will elaborate more of those efforts. But how are we doing that? Organizing subregional and national workshops to build capacities and enhance their national forest monitoring system. 26 countries targeted as well as 187 countries and territories included as part of the global network of national correspondence for the global forest resources assessment, FRO. Strengthening the network of key partners such as the UNF Trek Policy, the Global Forest Observations Initiative, UNEP, UNDP, the International Forest Student Association, upgraded FAO's FRO 2020 reporting and dissemination platform to make forest data reporting easier in the future, but also accessible. Developing knowledge and training material including the eLearning course to enable access to knowledge about the ETF and forest to anyone anywhere. A tool developed to facilitate the assessment of gaps and needs in countries' national forest monitoring system. Outreach and sharing of case studies and best practice and transparency in the forest sector. Please let me briefly introduce key updates from the project. Our free and open eLearning course on forests and transparency under the Paris Agreement is available in three languages with digital batch certification and also in PDF printable versions. Join the 250 learners that have already downloaded the course. This eLearning course has three models which highlight the importance of the national forest monitoring system to meet the requirements of the transparency framework and in the second model you will be able to download the new national forest monitoring system assessment tool which is available already in three languages. And today I'm excited to share with you the third case study of forest and transparency from Bangladesh after already being shared Costa Rica and the Democratic Republic of Congo. And I'm really happy to have Mariam with us telling a bit more about this country led process. Back to you Emily. Thanks. Thanks a lot Rocio. For that overview made it really clear how forest monitoring relates to climate action and flags some nice resources which Fabio will kindly put in the chat the links to. Everyone remember if you have any questions for Rocio or for any of our speakers please pop them into the Q&A box and we'll get around to them. So Rocio has just shared the case study in Bangladesh and next up we hear from Mariam Akhtar who is the Assistant Chief Conservator of Forests in the Forest Department of Bangladesh under the Ministry of Environment, Forest and Climate Change. Mariam is actively involved in establishing the Bangladesh Forest Information System so we are about to hear about what open and transparent forest data means in practice. It's great to have you here today with us. Mariam over to you. Thank you Emily. Thank you again who they are at us too with this webinar today nationally, internationally available. All are welcome in this presentation. I will share the experiences from Bangladesh, how we are developing data here and how we are going to share those data with the forest sector stakeholders through the Bangladesh Forest Information System. Bangladesh Forest Department, so some of the background I will share with the department and then I will go through the presentation in detail. Forest Department maintains nearly 10,000 staffs and manages 14.1% of the forest area in the country and which actually needs the information system for manage and because of the forest resources. So we have previous experiences for developing the information system and we developed many of the information systems and under different projects but most of them maybe all of them are not operational right at this moment because they were very limited skill, IT skill and facilities with the forest department and several other challenges like there were very few technical staffs to handle those information systems. At the same time they were not centralized mostly and also the proper documentation we did not find. So with that we learned from these previous information systems and we started developing the information system called Bangladesh Forest Information Systems which is first web-based information system of forest department under the Ministry of Environment, Forest and Climate Change to manage the forest and conservation. The BFI is mainly supporting us for planning, implementation and monitoring of multi-objective forest management activities. Bangladesh Forest Information System is a dynamic web-based platform to support the monitoring and management, support the innovation in research, education and forestry. It provides access to consistent document and forest related information. It's for sharing, accessing and managing databases from centralized and integrated-based platforms. The Bangladesh Forest Information System supports implementation of actually the government's digital Bangladesh Vision 21. It's rights to information act, sustainable development goals, eight five-year plans, country investment plans and many more. This also supporting us to prepare the consistent reporting for the national and international purposes and we are sharing it at different levels. There were many of the stakeholders involved in the BFI's Bangladesh Forest Information System development. As I said, I mentioned that the adequate IT facilities and skill is not available at forest department. Forest department did a service level agreement with the Bangladesh Computer Council and for hosting the server in their servers and for the maintenance of the information system by the computer council and Bangladesh Forest Department builds its capacity and responsible for maintenance and access control and updating the contents in the BFI's and targeted beneficiaries like the stakeholders, they can collect related information and data from the BFI's and targeted user like in the forest department, they are in different level, they should review and they are doing the review, editing and input updates the information depending on the level of accessibility. Depending on the available information, we started developing the modules in BFI's. Several modules you can see in green colors, they are developed and they are currently operational in the BFI's and several other database is under development through module and some of the nationally developed modules we are hosted in BFI's as because we wanted to get them in one platform. And there are several modules I mentioned. I want to share with you some of the modules, how they are working and what is inside of the modules. Like first module is Bangladesh Forest Inventory. This module contains the databases, reports raw data and supporting documents are available in this module and through this tool the stakeholders can download the related databases and reports from this module. The next module is Geoportal which is supporting us to monitor the forests. The land cover maps we developed using the remote sensing images are hosted in this module and this Geoportal is interoperable with GeoNor based platforms for interacting and sharing this data. And this platform allows user to analyze, create, share and visualize geospatial data and maps without using the mapping software. So it is easy to create their own data for downloading. And BFI's module forest emission factor database, it consists several of the databases like elementary equation, wood densities, raw data, emission factors they are available in this module. Country specific elementary equations, density data, emission factors can be used for the calculation of biomass for trees and forests. So there are a huge database kind of 700 country specific elementary equations are available there. So 200 wood density data and emission factors is available there. So this is supporting us really to calculate accurate biomass for our forest and trees. Tree species identification module is supporting us in the field when we are going for the inventory, field inventory to identify the tree species in the field. And site specific planning, this is a recently developed module is hosted in BFI's. This is a really unique tool. This is identifying the field level interventions, field level data for interventions actually for forest bit landscape level. Bit is the lowest administrative unit of forest department for to restore the denoted and degraded forest as well as to increase the forest cover. And this tool really helps us for developing the baseline for future monitoring, monitoring the management performances. So this is really using the land cover maps and Google Earth together to develop the, to identify the interventions in different lowest administrative level of forest department. eLibrary is hosting the manuals, reports, books, scientific papers and many more. All the digital, digitalized document, important documents we are hosting in this library and which is very easy for downloading. So forestry sector stakeholders together, they're really getting all the informations in this library. So I already came to the conclusion is that the Bangladesh forest information system is really helping forest department to monitor the forest and planning preparation and prepare the plans and identifying the interventions. So technological progress is really helping forest department to manage a large amount of data for different audiences. And it's easy to download and then the forestry sector stakeholders is really really getting the consistent informations so far nowadays through this Bangladesh forest information system. And this system is interoperable so it is easy for everybody to download. And this Bangladesh information system is really helping the forest department to identify the interventions to address the climate change issues as well as management and conservation of the forest. Thank you very much. I want to get back to you Emily. Thank you so much, Maria Mappa for describing the platform, the BFIS that Bangladesh has in place to store and manage forest data and make it easier to share among stakeholders. We will turn now to Ansi Pekarinen to learn more about another data platform that of the Global Forest Resources Assessment or FRA, just highlighted by Raseo in her introductory remarks. This platform represents a new way of accessing FRA's global forest data and was launched just this July. Ansi is senior forestry officer at FAO and team leader of the Global Forest Resources Assessment. Over to you Ansi. Thank you. Thank you, Emily. Can you hear me well? Yes. Good morning, afternoon and evening, everyone depending on your whereabouts. My name is Ansi and I'm coordinating the Global Forest Resources Assessment at the Food and Agriculture Organization of the United Nations. It's a great pleasure to be with you here today. My today's brief presentation on the Global Forest Resources Assessment 2020 will focus on the ways in which we have tried to make this information more transparent and accessible to the global community. But let me start with a little bit of background. The Global Forest Resources Assessment is a process coordinated by FAO where official country statistics on forest resources, their management and latest assessment fraud when it when as we call it covers more than 60 broad variable categories and all 236 countries and territories of the world. The data were collected through a global network of officially nominated national correspondents that currently covers 187 countries and territories. Sorry, Ansi. We are not seeing your presentation. Can you please share your screen again? Thank you. Can you see it now? Yes. Thank you so much. Okay. To reduce the overall reporting burden, the FAO collects these data in close collaboration with other partners, United Nations Economic Commission for Europe, Forest Europe, Montreal Process, Central African Forest Commission known as COMIFAC and the International Tropical Timber Organization, ITTO. This is done through a common reporting process, the Collaborative Forest Resources questionnaire. The results of RAW 2020 have been published in a number of different programs. In May, we published the key findings which are available as a BDF document and also as an interactive digital report. The letter is available in all six official UN languages. In addition, in July, we published a comprehensive main report which describes the whole RAW 2020 process and its results. At the same time, we made the individual BDF reports for all 236 countries and territories available online. Finally, all the data reported to FAO by the countries and territories were published on an open access and easy-to-use RAW platform at fraud-data.fao.org. And this is where our focus will be today. Now, let me guide you through the main functionalities of this platform. The first thing you will see when accessing the fraud-data.fao.org link is this, our landing page. It provides a brief introductory text to fraud linked to the fraud main website where all our publications are available and displays the logos of our key partners. The landing page also provides the users with different ways to access the data. You can either select the geographical area from the top menu of the page or dive directly into global, regional or national level info. Let us start by using the top menu and selecting the global results. That will take us to a page which provides you with visualization and download functionalities. On the right hand part, you can see the global results visualized for some of the key attributes. This is the top of the page and by scrolling down, you will also see the rest of it. Now, let us go back to the top. Here, you can access the global results in a number of different ways. If you are interested only in the key summary statistics, you can click the spreadsheet icon next to the word global and download the global effect sheet in the non-properatory open-document spreadsheet format. This file you can then use for your further analysis in your favorite software. However, if you are interested in a specific variable and a country or set of countries, you can use the fraud reporting table dialog in the left part of the view. Here, you can select a specific thematic area, a reporting table and a country or countries, variable and reporting year or years. Let us see how that looks like. Now, I have randomly selected country Norway, variable forest area and year 1990. Now, I am adding the year 2000 and 2010. As you can see, the table on the bottom of the screen continues to grow as years are added and this is how it looks like if I select all the years. As you can see, the table on the bottom still has only one row. As so far, we have focused on Norway. However, if I select all the countries, this is what I will get. Now, the point of this functionality is of course not only to visualize the numbers, we also want you to be able to use them in your own analysis. And that is why we have added the CSV download button, which, as the name suggests, will allow you to download the selected data as comma separated file, which you can then again import to your favorite statistical software for your own analysis. But again, this may not be enough for you. After all, so far, we have been working with only one attribute and you may actually be interested in the multivariate analysis of some kind. For those of you that belong to that group of people, we have a functionality that allows you to download all the data reported to file at once. That is called the bulk download. The bulk download will produce an compressed archive and save it on your computer. I'm not going into the details on how to use these files, but please start by opening the readme.txt that explains what the files contain. Now, just to repeat before we move on, by accessing the global results, you can download a summary fact sheet, data for individual variables, or all the data as bulk download. The summary fact sheet and the access to individual variables are also available for the regions. But let's see how to select an individual country and look at the details of their reports. The first thing you need to do is to return to the top menu and select the country you want to access. Let's use Honduras as an example. By selecting the country, you will see a similar view as you saw when selecting the global dataset. However, the difference is that now the menu on the left gives you access to all the data and metadata the country or territory has reported to from. In this example, I'm selecting again the first section of the report and the table 1a, extent of forest and other wooded land. By doing so, I can visualize the trend of these two variables as well as a table with their values together with other land and total land areas. Now, when you look at the graph and the table below, you can see that they use different icons and fonts for different years. Let's see what that means. When hovering over the year displayed in turquoise color, you will see a message that says, click on the year to access original data. When doing so, you can actually visualize the metadata the country reported for this particular year. That includes reference year, data sources, national classification, and definitions as well as a table which explains how the data collected using national definitions were converted to correspond the fraud reporting classes. As you know, we use global definitions in fraud. However, as this national data point approach is not suitable for all the countries and variables, we have used the hybrid approach which allows us displaying this data also in a more traditional way. As is the case here for the biomass top table. In such a case, the metadata are simply displayed on the top of the reporting tables. Finally, if you want to print all this information for offline use, you can select one of the icons on the top to generate an HTML version of the reporting tables or the full report and print it into a PDF or a paper or on paper depending on your personal preferences. Now, just to recap. By accessing the global original results, you can visualize and download data for individual variables. By accessing the results for individual country, you can visualize and download all the data and metadata reported by the country to the fraud process. Dear colleagues, I hope this demonstration managed to give you an idea how the fraud platform works and gives you a fully transparent access to the data countries and territories have reported to the process. To further explore the platform's functionalities and of course the fraud 2020 data, please visit fraud-data.fra.org. Please do also send us feedback and suggestions for improvements for the platform by emailing to fraud at FAO.org. And please let me conclude by thanking all the national correspondents, international experts and institutions for their invaluable contributions to the fraud process. Special thanks go to the European Union, Global Environment Facility and the governments of Norway and Finland for their financial support that has made these improvements possible. Thank you and back to you. Thanks a lot, Ansi, for highlighting the new forest data and amazing resource and also for demoing how the platform can be used to access them. That's really great to see. I just want to quickly remind everyone if you have any questions for Ansi or any of our speakers, please put them in the Q&A box. I see some of you already started doing that, that's great. Ansi's also reminded us how important it is to have a national forest monitoring system in place for national and international reporting, including to the fraud. And on the subject of new forest data, our next speaker is Ellen, Brasilius Bakker, Policy Director at Norway's International Climate and Forest Initiative. Ellen, great to have you here with us today. Over to you. Thank you, Emily. Can you hear me well and see me? Yes, both. And most importantly, see the presentation? Also that. Thank you. So good morning, good afternoon or good day to you all, depending on where you are. Greetings from a rainy and grey November Oslo. I'm very glad to be here today to speak to you of our recent procurement. As Emily said, my name is Ellen, Brasilius Bakker. I am the Policy Director for Environmental Integrity at Norway's International Climate and Forest Initiative in the Norwegian Ministry of Climate Change and Environment. As I'm sure you all know, Norway has been engaged in reducing tropical or deforestation and forest degradation in tropical countries for more than a decade. We are partnering with forest countries, with civil society, both local and regional, global, to advance this agenda. And I'm very proud to be here today to talk about our recent procurement. Right. Now, our target is to reduce and reverse loss of tropical forests to contribute to a stable climate, protect biodiversity and enhance sustainable development. Now, that is quite a broad sweeping target. So in order to achieve that, we have several sub-targets, one of which relates to transparency. So we're also working for increased transparency in land management, land use, value change and financing. Our experience is that information and data about the tropical forests and what happened to the tropical forest is not always easily available. That is a challenge for forest countries, forest country governments, for those who live there, for private sector, for indigenous people, for everybody who cares about the forest and who cares about land use. So through our work with the forest countries and all other actors, we realized that there was a need for more and more, how can I say, reliable access to high-resolution satellite imagery for the forest. This was an understanding that has evolved in our institution as well. So I'm going to talk today a little bit about our intention behind this recent procurement, some key characteristics of the procurement and how we hope that it will be used. So what we really hope is that through this procurement, we will provide a resource that can strengthen forest country governments in their fight to reduce deforestation and forest degradation. This is a tool or a resource that we wish to provide to those that really are in charge of the forests and the land management. We believe that having these data as an open tool, an open resource that's available to everybody, will enhance the discussions about forests, the understanding of what's happening to the forest and why it's happening, and enable informed discussions about policies required to reduce deforestation and forest degradation. We're also hoping that through providing it as an open public resource that's available to everybody, we can unlock innovation and initiative and see new and innovative ways of addressing and dealing with tropical deforestation and forest degradation. Right, I'm going to give you a few of the key characteristics of what we've actually procured. So like I said, this is a public procurement that the Norwegian government has done, but it's not something that we've done for us. It's for everyone out there. So it's an open resource. We're making it available for everyone. It's not something that we're going to keep for us. No, that's not it. It's a procurement of high-resolution satellite data that covers tropical landmasses between 30th degrees north and 30th degrees south. And it also goes a little bit into the sea. I think it's approximately one kilometer, but I need to double check that one so that you can also get images of mangrove forests. We thought that was quite important as well. The images are high resolution in two meanings of the word, both spatially. They're less than five meters spatial resolution. And from September 2020 and onwards, we're providing monthly mosaics. So the temporal resolution is also what I would call high resolution. We're providing it through several channels or through in several ways so that we're trying to hit all users, both those that are more experienced with satellite imagery and those that are less experienced with satellite imagery. So one product that will be available is visual mosaics. It will be streamed through several different platforms. One is Global Forest Watch. We're working to add more to that one. And then we also will deliver monthly mosaics, the so-called analysis ready mosaics, also known as the surface reflectance mosaics, for those who wish to do analysis themselves. Now there is archive imagery as well to the contract. It's not just from now going forward. The archive goes back to 2015 and it's two mosaics a year. So not every month for the archive, but twice a year for the archive. Yes, and the duration of the contract. It's a contract that's valid for two years with a possible extension of one plus one year. So this is a duration of maximum four years. And we will evaluate midterm whether there will be an extension of the contract or not. That really depends on how we see its applications and uses, etc. Which brings me to the next slide, which is intended uses. So like I said, we're providing an open resource. It's to strengthen forest country governments, but it is also for everybody, for civil society, NGOs, academia, private sector, to help us, or not to help us, but to help everybody, for everyone to reduce deforestation and forest degradation. It's quite a wide purpose in the license relating to sustainable development, sustainable use of lands. So I think most will find that they fit within that license. As I mentioned, there are two levels. The mosaics that are freely available, there are two levels. One is the visual mosaics, that's level zero. And then we have the level one, which requires a login at the planet side that's in blue in the slide there. So if you're interested, I encourage you to go to that planet site www.planet.com.nickfi and sign up. It's for free. It's an easy access website. There's nothing required to get access to those data. And like I said, we're working with the Global Forest Watch and other what we call Purpose Allies to mirror the visual mosaics for those that just want to have a look to see what's happening. So that's going to be easily available also through several other channels. Now, to be very honest, this is an evolving effort. We haven't done a procurement like this before. I don't think a lot of people have done a procurement of this size when it comes to data and use and applications. So it's a learning process for us too. The contract was entered into a little less than a month and a half ago. So we're currently in the very initial implementation phase, which means that we are very open to user experiences to know what works, what doesn't work so well, what do we Are you still there? Maybe it's just me yet, but I can't hear you anymore. Same here. Same here. Let me just wait a couple of seconds. And if she doesn't come back, maybe move on to the next presentation. Okay. Do you think I should move on, Fabio? Yeah, you should move on because she's not there anymore. Thanks, Aristide. Okay. I think everyone's really excited about Nikfi's data procurement. It's going to enable a better understanding of forest and land cover change in the tropics, hopefully, and it's really crucial. And I hope everyone listening has already signed up to start using these data on the link that Ellen just mentioned and has been put in the chat. Really exciting in terms of open data. Our next two presenters are going to show two big data platforms that are essentially built on open data. CPAL is a platform that is open for anyone to use, which enables and facilitates land cover change analyses. Hi, Ellen. Sorry, we've missed on. Sorry, that's okay. Sorry, I just lost you on the last part of your presentation. Yes, apologies for that. Internet connection is not stable in Oslo. Sorry about that. Do you want to move on or shall I just finish that last slide? Yes, please finish your last slide, maybe. Can you see it now? Yes. Okay, so apologies for that. Unfortunately, my internet connection does have hiccups. Yes. So what I was saying is that this is an evolving effort. We are planning outreach. We're planning webinars. We're planning also capacity building to make sure that both people are aware of this data and that governments, civil society have the capacity to use it. But this is something that also takes a little bit of time for us to organize. Though I will say that the help desk is up and running. It's a 24-7 help desk. So if you try to log in to access the data and you find yourself in trouble, there is help to risk it. And I'd also just like to take the liberty to encourage you all to spread the word, use the data if you want. And we're very keen to learn how the data is helpful and useful. Yes. I think that's what I wanted to say. So thank you. And looking forward to hearing from you on your use cases. Thank you. Thanks so much, Ellen. So I was just saying before that about C-Pile, which is a platform which is open for anyone to use, which enables and facilitates land cover change analyses, and into which the great data that Ellen has just talked about are already available to use. And so with that, I would like to hand over to Elaina Fangold, who is a forestry officer at FAO, who is working on developing tools in C-Pile for monitoring forest change over to you, Elaina. Thanks, Emily. And thanks to all the presenters and everyone for being here. Ellen, it was really great to hear more about the NICSI imagery. And I know many people are very eager to access this imagery. And now I'd like to present a platform that we have developed at FAO where you can access that newly available high-resolution imagery as well as other satellite imagery, the C-Pile platform. So first, I would like to introduce you to the open forest family of tools. Open forest hosts a set of free and open source tools that are developed by FAO and partners to provide government technicians, civil society researchers, and individuals the opportunity to monitor land and environment, as well as to provide transparent and consistent and reliable methods for reporting data. These tools have supported a wide array of applications, including planning, collecting and analyzing data for national forest inventories, greenhouse gas emission reporting, monitoring carbon-rich peatlands, and so many more applications. The C-Pile platform is part of the open forest set of tools and makes cloud computing, satellite data, and advanced methodologies accessible to any individual interested in geospatial analysis. The objective of C-Pile is for anyone to be able to autonomously monitor forest and land using satellite imagery. Our goal is to break barriers with C-Pile to address the challenges that anyone is experiencing accessing or processing satellite data. By accessing and connecting to supercomputers for processing data, we can reduce the time from innovation to adoption of new methodologies. Using C-Pile now it took years or months or weeks to process and processing time can be done in a matter of minutes or seconds. To make this possible, C-Pile builds on existing cloud computing technologies and seamlessly integrates tools that can run in Google Earth Engine, R, and Jupiter notebooks. Now for the exciting part of the presentation, I have a demo of the C-Pile platform. I encourage everyone to sign up to C-Pile. You can do that using this link, C-Pile.io. And I have two examples to show to you today. First, using time series analysis and showing the newly available high-resolution imagery that you can visualize in C-Pile and how that can be used to monitor forest change. The second example I'll show how we can generate analysis-ready data that can be used for many applications including land cover monitoring at the national scale. In this demo, we'll see how C-Pile can be used to analyze satellite data to monitor forest change. To access C-Pile, you'll need to start by filling out a simple form to create an account and anyone can sign up. Inside C-Pile, there are a variety of tools. We can't look at all of those tools, but today we'll be first focusing on CCDC, a time series analysis tool that's able to ingest thousands of satellite observations and assess trends. So first, we select our area of interest. We have a forest stand in Bangladesh and Cox's Bazaar here. Then we select the dates that we'd like to do the time series analysis over and the imagery as well as the vegetation indices that will be used to detect the seasonal trends and changes. Then we select the area that we would like to run this analysis over. Here I'll be showing this analysis over a point, but it can be run over a large area, even at the national scale. Here we can see that we have some decline. We can see that there's some decline in the forest area. This is characterized as forest degradation and then an increase because there has been replanting here and restoration of this area. Now we can go in and see how this imagery looks in the planet imagery that's now available thanks to this NIC fee procurement. We can see in 2020 it was very green and then as we go back in time, we can see that this was actually a very degraded area. This area had a high risk of landslides and left the population vulnerable. It was restored around 2018 and the planet imagery that we have access to, we can also run analytics on it and we're working on providing easy-to-use tools to process that imagery in SEPL. We hope that will be available to you soon. That was the first very quick demo that we have in SEPL. Now the next example I'd like to show how SEPL can be used at the national scale to quickly generate analysis-ready data that can be used for a variety of land monitoring applications and mapping. Again, we're back in SEPL and now I'd like to take you through how to create a best pixel optical mosaic. SEPL can be used to generate data anywhere in the world and today we're zooming in on Bangladesh, but we can do this for anywhere in any area of interest. We select the year that we'd like to query the data and the satellite data that we like to use. This now, just in seconds, I've created a Landsat 8 mosaic for 2020. Such data is essential for land cover and land use mapping, distinguishing forest types, crop mapping, identifying forest disturbances, such as fires, flooding and pest outbreaks. With just a few clicks, we can access the archives of Landsat and Sentinel and multiple satellites can be fused together to create the mosaic, which is especially useful in cloudy areas. Powerful algorithms are running here in the background and are used to pre-process the data and the user is able to control the level and type of processing. Users can save the project and go back later to work on that mosaic by just typing a name here for the project that they've created. We can also use radar data, ESA's Sentinel-1 satellite that can see through the clouds and we can actually combine this radar data with the optical data that we've just created in a classification to get improved results. Here we see a time scan of 2020 of Sentinel-1 data. We have information over time. Again, we have different pre-processing options that we can turn on or off and select different types of pre-processing options to apply to that imagery. We can compare it with how that looks in the optical imagery. We can also zoom in to a specific area. Now we're zooming in on the Sundarbans mangroves in Bangladesh. This is one of the largest remaining mangrove forest and is a biodiversity hotspot for both terrestrial and marine ecosystems. This type of satellite data that's of high quality and timely can be used to monitor such areas to prevent and reduce deforestation and forest degradation. We've also used this type of data in many applications including mapping natural disasters. That was the very quick demo that I have of SIPL. I'd also like to say you can then export that data from the platform and use it on your computer or in any other type of data processing platform that we use. In SIPL, we aim to bring the data to the people to make that data easy to use to make it accessible. We do that through open source and transparent tools. Here in this slide, these lines show the thousands of people that are using SIPL around the world. We have been able to harness innovation and have a massive impact through engagement of our user base. In line with the enhanced transparency framework, SIPL provides transparent tools to technicians so that they then can provide reliable information that can be recorded and recorded for national reporting needs such as Bangladesh is doing or for international reporting such as Fra as Ansi presented. This data can then be displayed once it's finalized in platforms such as the hand-in-hand which we'll hear about soon. That's all for SIPL. I hope everyone found that interesting. Thanks for your attention. Back to you, Emily. Thanks so much, Elena, for demoing SIPL and showing us how user friendly and easy it is to process and analyze satellite data right now. Our next presenter is going to also show us another innovative geospatial big data platform. Carl Morteo is an information technology officer at FIO leading the development of the hand-in-hand geospatial platform. Carl, the floor is yours. Thank you very much and good day to one and all. Let me just share my screen. Just want to confirm that people can see something. Hopefully a big map. Yes. Okay. So I'd like to talk to you today a little bit about FIO's hand-in-hand geospatial platform, what it is, why we built it and why we hope you'll find it useful. So the purpose of the platform is to bring together all dimensions of the agri-food system and then that will help us to differentiate, target and then formulate evidence-based strategies. So I'm just starting off on the main entry page to the system. You'll see we have this nice map of the world and the green colors that you'll see in here are a set of data provided by the forestry department and in particular, they're showing where the open forest national projects are running. Okay. So this left-hand strip that we call the data explorer, this shows us what we have visible and it allows us to basically do some basic navigation, like making things less or more visible. Okay. So let's dive in and see what data we can find. So I'm going to start out by, first of all, masking Bangladesh because I'm going to make Bangladesh the focus of the presentation today. So here we see the area of the globe highlighting Bangladesh. I'll remove the project definitions so we can see here basically the outline of what is of interest. And then I'll go back and start to add some data layers so we can build up a picture about Bangladesh, what's going on there in terms of the agri-food systems. So let's start with some forestry data. So the first thing I'd like to show you is from the national land, sorry, the national forest monitoring system, you can see that there are many different countries that have data added to the platform. Today we're going to focus on Bangladesh, but one of the important takeaway points from seeing the data here is that this data has been provided by the countries using standards and therefore it's been relatively easy to add the data to the platform. So let's first of all start out with, let's see, what can we pick here? Let's just start out something basic like the tree cover. Okay, that doesn't show so clearly so I'm going to change the background to white. So what we see now is a layer provided by Bangladesh being displayed in this platform that is federating data from many different sources following standards and the green areas showing us tree cover. So one of the nice things about the platform is that we're able to take data from many different sources as long as it's following standards. So we just heard people talking about the importance of mangroves and there was some analysis done by NASA. So I can add that to the map as well. And so now what we'll see is this area highlighted which is showing you a set of data from NASA and so I'm very quickly able to put together data from NASA, data from the national authorities. So I'll just remove that and I'll remove that and I'll remove this mask. We now know where Bangladesh is for those of you that had any doubts. And let's see some of the other data that's been generated in the country. So we could take a quick look at someone I was looking at earlier that was interesting. I was going to look at the revenue from trees and forest products. So okay so what we see here again is data coming from the country. If I click we get the detailed information about that particular data set that's been provided. So in this case we're looking at the revenue from tree and forest products. Okay so let me remove that and move on a little bit more. So we've seen some of the data being provided from the National Forest Monitoring System. We've also heard this very exciting news about the new planet data being made available by the Norwegian International Climate and Forest Initiative. And so we have already started that integration. You won't see this public on the website today, it's only available in the preview release but it will be there very shortly. So for example we can take one of the images, we can add it to the map, we can take another image for a different time period and also add that to the map. And now what I'm going to do is I'm going to split the map in two and I'm going to put the one image which is for the period from June to August 2020 on the left. And then I can quickly on the right hand side put the image at the end of 2019 to May on the right. And so hopefully you should be able to see some differences going on here. And as we zoom in we can see a bit more of the detail coming from this wonderful data set that's being made available by the Norwegians. So let me remove that. So we've included all the different interpretations of the data. So for example this particular one here which is the tropics normalised mosaic. I have to be honest I'm not completely familiar with what that is. I'm hoping some of the other people that will better understand that. Okay let me remove that. So that's enough about the planet data other than we are busy making it available. So we have the medium resolution datasets available for the current images. Okay so let's take a look at a few other aspects of Bangladesh. So one of the important things about the hand in hand platform is that we're bringing data together from many different disciplines and many different sources. So what I wanted to do is to show you for example we could start out with something very crude. So in this case I'm looking at a data set that's at a national level. But I can click on the map and I can see some information that in this case is coming from the FAO statistical database. And we can see the population here growing in Bangladesh. So that's another way of looking at data. In this case it's a national aggregate. So perhaps we'd like to see something a little bit more detailed. So what I'm going to do now is I'm going to zoom in and I'm going to look at some raster based data. So in this case it's will pop because we're interested to see where in Bangladesh the people are. So let's take a time period. So let's see what happened there. Let's take a different time period. Okay so again what we're able to do is to see so I guess this is Dhaka with a higher population density. So if we click we can get an idea of that specific pixel in terms of people per kilometer squared. So one feature of Bangladesh uses has a very high population density. And what we're going to do is take this data set which is a time series as you can see here. And so I can split it into two. On the left hand side I'll take an early year. So we'll take for example the year 2000. And then on the right hand side what I'll do is I'll take a late year like 2020. And so what I hope we should be able to see is the increase in population. I hope you can see that out there. Perhaps it's not quite so obvious. In fact these country boundaries are making a little bit difficult so I'm just going to remove those. So you can see that there is a lots of higher density areas around this area. So this is another aspect that's very important when you're considering a country and what interventions that you're going to be making there and you want to use some evidence. So another thing that's important is for example access to electricity. So we can use a surrogate for that. So we can take the night lights. So this is stable night lights. I'll change the background here to make it a little bit more evident. And again this is a time series. So another way to look at our time series is just to step through time. So I'm stepping through time and we're moving from 2009 to 2008. And what you'll see is these yellow patches of continuous bright lights at night expanding and contracting. So like there's another dimension that we could look at. Okay the other thing we could look at. So we don't have time to go through everything but let's just say for example we might want to look at where the mobile phone access is available in the country. So this is a map showing us where there is good mobile phone coverage as opposed to not so good mobile phone coverage. And again that could be an important aspect when you're making some planning. And then we could enrich that with the submarine cables bringing in the internet into Bangladesh and we could take a look at where those cables are arriving. So we're slowly building up a picture about the infrastructure with respect to telecommunications. So I'll move on very quickly here and just do a little bit on transport. So what we could do is we can take a look at for example where the airports are. So we might be interested in shipping out agricultural high value products. And so we could then look at maybe also the medium sized airports. And now perhaps we want to see how they're connected. So we could say okay let's take a look at the railroads. So we can put in the railroads on top and see them being connected here. And as we build up a picture you get an idea of the transport infrastructure within the country. So let me remove the railroads for a minute and then I can put on for example the road network. So this is from open street map. So we can put on the road map and I can zoom in a little more. And this time I want to show some high resolution satellite imagery. So this is a one shot. So it's not like the data that we just saw recently from the planet in that this is a one shot. It's a composite. It's a very high resolution image. But on occasion it's going to be very useful for betting and better understanding what's going on at the very, very detailed level. So here we can get right down to individual street names and buildings. So that's another way of looking at a country and making some kind of analysis. So let me remove all that and in the interest of time zoom in a little bit further. So I'm not going to show anything else in this section now. Well perhaps while we're on transport we could take a look at the port infrastructure. So we could look at the imports. Let's take a look at the imports of grains and oils. So I'm just loading this data set here which is showing us where the shipping is. Let me just change the map so you can see it a little bit more clearly. I'm going to zoom out a little bit here so that I believe there's a port along here. So as I skip through we'll see there's a port over here. So this is the port of Chateau Grande and we can see the shipments coming in and out of that port and this particular one was one for raw sugar. So it gives us another dimension of what's going on in the country. Okay let me remove that and take a look at something else on the general sort of trade topic. We could take a look at some of the price data. So the big data lab in FAO is looking at analytics to get an idea of the volatility of prices. So if we were to take a look at for example I'm guessing breads could be interesting or I'll just say with apples for now. So what we've got here is a quick price volatility map and we can see some of the latest prices and I guess this is the impact of COVID and then the prices coming back down and stabilizing to a previous normal standard. So we can see in the current period we have this Delta variation of minus 198 currency values. Okay so let me remove that and see what else we can very quickly look at while we're here. We could also look at the farmer market prices. So this is the food price monitoring system which is also active in India. So so much of my geography maybe I should actually put the boundaries back on so I know what I'm doing. Okay that's a bit better. So let's skip to let's see if we take flour. So we're looking at the markets. Yes sorry if I may. We've only got less than 50 minutes left so if I could just maybe stop you there sorry. Yep sorry I've been going a little bit too long. It's incredibly interesting it seems like yeah you just there's so much that you yeah sorry I'd lost track of time there sorry. No no that's it's absolutely amazing and really inspiring to see an amazing resource. Fantastic. Let me move on to some questions though I think maybe. Let me see. Okay thank you to you and to all the presenters for showing us the new data and the new ways of accessing and sharing and utilizing data information. I'm going to if anyone I've seen there's a lot of questions in the Q&A box please keep adding them. I'm going to start asking questions now first to to Mariam just in the chronological order in which the presentations were so my first is to Mariam and it's also relating to the question from Kai Kim Chang and Jose Armando Alanes de la Rosa. I think Mariam you already started responding to these but the question is about what made Bangladesh move towards open data what was the process to bring that about and what were the challenges faced. Thank you Emily and this is a very common question for us actually we are answering many of the times because we as I explained in my slides already that say it's there is very much like we have lacks of IT skills and facilities in the forest department and we do not have adequate human resources to manage and maintain those information systems as well as hardware software and everything so we did a service level agreement with the Bangladesh computer councils and then really we are now it's easy for us to maintain those things and then we at forest department we are building our capacities and at the same time we are taking support currently World Bank is supporting us to develop this system previously we took support from FAO and USAID and several other organizations really they are supporting us and we are planning we are grateful that we are preparing data to make available to all the stakeholders and so that we would be transparent in data sharing and assistance report we can prepare and then we which will help us to address the management issues and monitoring our forests is it okay Emily with you it's perfect thank you thank you Mariam very much so having just heard from from Mariam there the next question then is to ANSI ANSI how does the FRA take on feedback from countries such as Bangladesh in the FRA reporting processes to ensure that you're staying up to date and responsive to needs and the voices of stakeholders that's one question and I think it might relate to there's a lot of questions for you on the Q&A box it might relate to the one about the user statistics from from Rumi how's that being tracked and also a question from Ibrahim who provides the data is it the states so over to you ANSI okay thanks thanks Emily what comes to the FRA process and feedback from the countries and other stakeholders I can just say that we are all ears the global forest resources assessment is essentially the country process and we are actually conducting the whole thing at the country's request and during the data collection the FRA secretariat works very closely with the national focal points national correspondences we call them who are responsible for compiling the report for their countries and territories these national correspondences report their official country statistics to the to the FRA process and I guess this is also responding to the question Ibrahim presented in the Q&A the role of the FRA secretariat is to help the national correspondences to interpret the FRA terms and definitions to help them to understand the reporting methodology and to solve any issues they may have with their national figures potentially coming from different inventories or mapping exercises using different methodologies now the FRA reports and this is also personally I think replying some other questions the FRA reports have been published every five years and that has been an issue for some other stakeholders that wish to have more frequent updates on the information on key FRA attributes at the same time this reporting frequency has sometimes limited our ability to publish the latest national information this could happen in cases where the new data were not ready in the country to be shared when FRA needed to have it because of the timeline of our report production process as you can imagine that takes quite some time and this has of course been frustrating for the countries and for us as FRA because our ultimate objective is to allow the countries to highlight their latest data through the FRA now the FAO forestry's work is guided by the committee on forestry which is a biennial gathering of the highest forestry authorities in the countries and they provide feedback on our password and guidance for our future and now I have some good news for those of you who would like to see those more frequent updates because while the latest committee on forestry requested FAO to continue publishing the full FRA report every five years this comprehensive analysis that I mentioned in my presentation they also requested FAO to develop a more flexible FRA reporting process that allows voluntary updates of key indicators as new information allows and that means that the countries in the future hopefully will actually be able to provide more frequent updates and share those updates through the FRA process that also links to the question about the virus this of course will be a very challenging task for us and we need to be very careful when moving to that direction to make sure that we don't break the consistency of the FRA database and we do not increase the reporting burden on countries but I do believe that having this mandate now within the next years we will be able to accommodate new data and share them as soon as the countries are ready to report them to FAO naturally the FRA platform that I presented will play a huge role in that as it will reduce the reporting burden and the time needed for the reporting reviewing analyzing and publishing the submitted data and one more thing regarding the question about the geospatial layers currently the FRA platform dissemination functionalities are limited to tabular data and narrative type of description in the metadata sections but we hope that in the view well of course already currently we encourage the countries to share links in their report to their national geospatial datasets and in the future hopefully we will be also able to be more proactive in sharing the national datasets that the countries wish to share thank you thanks so much Ansi next question goes to Alan there's a question also from José Armando it's what do you hope to see the data being used for yes thank you for that question it's a very very important question and a good question I think obviously our hope is that will be the data will be used for designing policies that reduce deforestation and forest degradation and measure the effects of such policies that's really the overall intent of the procurement and indeed of the efforts of of Norway's international climate and forest initiatives now that being said on the more practical applications which perhaps I think is is also part of the question is to be honest I think it's fair to say that each country knows best itself what it can use these data for so I'm not in a position to prescribe uses to any country but of the things that we are in thought the data could be used for is obviously to reduce the uncertainty of data it could be used as training data we were hoping that it would also enable countries to better estimate forest degradation knowing that that's quite hard with with more course resolution we were also thinking that perhaps it could be useful for restoration efforts with high resolution and perhaps also it could be a tool to fight forest crime given the high temporal resolution so these are some keywords that we've had in mind but I think also all the forest countries and other users out there are those best positioned to know the use of these data thank you thanks a lot Ellen that was really clear next question goes now to Elena sorry to run through all these really fast the question to you Elena is C-Pile and other tools how do they enable transparency on the analytical methods used to transform data into information into results so for example a country reports that they use C-Pile to estimate area of deforestation and presents the end results but how can transparency regarding those methods be achieved thanks Emily that's a really great question and I was only able to show a few ways that we use C-Pile how we can access data but we can also further create maps analyze that data and we have an application in C-Pile for assessing the accuracy and and the uncertainty and producing area estimates from maps combining sample information and map information in order to provide estimates that can be reported on and in terms of the methodology C-Pile and open forest tools they're all open source so that means that the code that allows the user to execute the tools they're all available online through the open forest github and we encourage open collaboration and exchange we have an open forest community support forum and that's an online forum which allows users to share posts about how they think about how they're using the tools about questions that they have about using those tools errors they encounter and improvements that they would like to see and the methods that are used in C-Pile and in open forest tools they're all based on peer reviewed science so that provides substantial background material for users to better understand the methodology and we also have user manuals and tool documentation to transparently provide background information and practical information needed to to use these tools so those are just some of the ways that that those tools are transparent these tools available in C-Pile allow the transformation of raw satellite data and using replicable methods into information that then can be used for reporting C-Pile provides customization and flexibility and gives ownership to the end user which is very important and allows them to integrate their own data and combine it with that satellite data that user input data might be field data or high resolution data that's been some sample information that's been interpreted from high resolution data and to build data and information that reflect the user's environments and national circumstances and many countries have been using open forest tools for reporting to international conventions we have forest reference levels we have about 60 percent of the forest reference level submissions have actually used open forest tools which we've been really proud to to support those countries and an increasing amount of countries are also providing transparent documentation online of the methods and tools that they're using in order to generate that data through standard operating procedures and there's also international and global guidance such as GFOIs methods and guidance document that provide information about how to use these tools for reporting so yeah that that's how anyone can use these tools for for transparent reporting back to you Emily. Thanks a lot Yelena I always find it really encouraging to know that there's a human community behind the user interface that are there to help you help all the users here listening of all these great tools and data that can respond to your questions and can help improve and collaborate and that really inspiring so my final question is to Carl it also relates to a question that's been put in the Q&A box what new and upcoming datasets and potentially countries do you plan on incorporating next into the hand-in-hand platform and finally what is the idea behind developing the hand-in-hand platform right now over to you Carl. Thank you very much okay so in terms of the coverage of the countries whenever possible we are including global datasets we have a priority list of countries that are part of the food and agriculture organizations hand-in-hand initiative so presently I believe that there are 39 confirmed countries and that will be growing over the coming months so that's how we're prioritizing which countries I've joined the platform in hand-in-hand countries there are also teams that are working to help to provide the data to correct the data and to give us guidance and that comes a little bit to what data and when so there's a lot of data out there not all of it is relevant not all of it is the right quality so we're basically driven by the process of understanding the efficiency and efficacy of the agricultural value chains so the objective of the hand-in-hand project is to improve the lives of the people in the countries and therefore we look to the guidance from the analysts which data was required for them to be able to provide this assessment so in short we're adding data based on the priority of the country and it's match to the requirements for this analysis that helps to target and formulate policy so I hope that gives you an idea of the in terms of the concrete data that's being added right now we're currently working on some more detailed soil data than we currently have that's required for some of the agricultural planning and many sub-national datasets especially based on the surveys that been carried out in countries in terms of why we're doing it originally it was intended for this specific purpose of the hand-in-hand platform but what we've discovered is that's having a lot of data from different sources available in one place has become very useful for other tasks be it epidemiology or for many other spin-off tasks that we didn't originally foresee so it's become part of our stable future plan to have a single platform uniting the data. Fantastic thank you Carl and thanks to all of the presenters today Rocío, Mariam, Nancy, Ellen, Carl and Yelena I think we managed to back a lot into the last hour and hopefully inspired some of you to some of you listening to explore some of the platforms and data that are out there now. Thank you of course to all of you that participated today we really appreciated it and hope that this webinar has been of interest and of help to you. I've noticed there are still a lot of questions in the Q&A box thank you so much for the engagement there hopefully we've managed to answer most of them but fear not if your question hasn't been answered we will be getting around to all questions in the follow-up email along with the recording and powerpoint presentations as soon as we can. Let me briefly pass back to Christina who will tell us about upcoming courses and other materials you may be interested in before closing with Julian's closing remarks over to you Christina. Sorry I can't hear you too well Christina. The list of course yeah excellent thank you thank you very much as as Emily was mentioning the recording as well as all the materials the powerpoint and the answers to all your question will be made available through the FL e-learning academy so in addition we have prepared here a list of relevant forestry related e-learning courses that are available through the academy so we invite you all to have a look so we have a course on forest and transparency under the paris agreement we also have a course on the SDG indicator related to forestry also climate smart forestry and as well as of course national socioeconomic surveys in forestry the measurements of and the role of forests and trees in household welfare and livelihoods and and the the list is is just here presented I would like to therefore invite you all to have a to have a look and to visit the Fauli learning academy and I'd like to take this opportunity to mention that this webinar was actually extremely rich and dense so I would like to thank very much all the presenters I would like to thank our partners in this initiative which are UNS Cup and Agrinium the people behind the scenes Fabio Pichinich and Aristide Bukare and of course all of you the participants thank you all very much I'd like to pass the floor now to Anci sorry I'm passing to Julian for the closing remarks thanks a lot Christina so much over to you Julian Julian is a senior forestry officer and the team leader of national forest monitoring at Fauli he's going to give us the closing remarks thank you thank you so much to our presenters and the audience for the active engagement I'll revisit some of the key emerging themes from today's seminar very briefly because we are over time but all presentations had the consistent theme of using innovation and technology for creating open and transparent forest data Rosio started off identifying the key role of national forest monitoring systems as a foundation for transparent reliable relevant accessible and sustainable forest data for national decision making and for the enhanced transparency framework of the Paris Agreement. Marion presented an example of an operational national forest monitoring system in Bangladesh the Bangladesh forest information system a fully transparent system that makes high quality forest data accessible to both national and international stakeholders through a web portal congratulations to the forest department who've worked closely with the FAO representation in Bangladesh over several years and across several projects to achieve this and more details can be found in the case study launched today. Anci presented FAO's global forest resource assessment the authoritative source of forest data for 75 years which for the first time has become available through an innovative open and transparent online platform Alan presented the global good contribution from Norway's international climate and forest initiative for open high resolution imagery for the tropics to support efforts to stop the destruction of the world's rainforests. Yelena presented Sepol FAO's open and transparent geospatial platform with over 5 000 users creating their own geospatial information for forest and land use and finally Karl presented FAO's corporate geospatial platform the hand in hand which integrates data and information across FAO domains agriculture forestry fisheries this is powerful because agriculture and forestry need to be considered together when making land management decisions. The hand in hand is also great for data visualization and is so exciting to see its use for visualizing national forest monitoring system data from countries and in the future the new high resolution imagery from Nikfi. So thank you so much to the panelists our moderator Emily and to the e-learning academy for enabling today's webinar and big thanks to you at peak over 250 participants for joining us it clearly demonstrates the high interest in this topic and encourages us to keep driving forward at full speed. In summary today we have heard how innovation and technology can support open and transparent forest data we encourage you all to access and use the innovative platforms and the new data presented today for collective action toward protecting conserving and restoring forests for the climate and for the world. Thank you very much for your valuable time have a great Wednesday and a great week signing off from Rome.