 we're looking at the globe and basically one of the ideas is with Eodes and is that we focused it initially on national parks but as a result of the yes we've been and the facilities there we've been able to apply it for any location in the world and there's still a lot of refinement that can be done with the with the technique but it's been very well developed over over the last year so basically Eodes is a complex and expandable system which means you can keep on building on it so it's it's not something that's going to go away and it generates land cover and land cover change maps based on the Food and Agriculture Organization land cover classification system. What I'm going to show you now is some demonstration of that and as I say it was originally developed for these national parks but one of the things that we tried to access was the Sentinel-2 which is the satellite data from the Copernicus program and to try and access that archive directly and produce Eodes and using that data without actually having to download it so the classification and the change maps are generated that way. The VLab is a technology that implements an orchestrate of automating the configuration coordination management of the online accessible systems and it's it's very in the following demonstration I'm going to show the potential of Eodes and the virtual lab to address some of the issues that are relevant to sustainable development goals example of impacts of climate and how forests can be used and we've got examples of impacts of bushfires in Australia's forests and how it can go in on the Bahamas and I'll also show you how commercial harvesting of forest can be monitored using Eodes and to support sustainable use using an example from the Matang mangrove forest reserve in Peninsula Malaysia but first of all we'll show you how Eodes and works and Matia Santora is going to drive the demonstration so there we go so basically the first thing we can do is we go to the website and we select our region and we originally say we've looked at mountains for example and we have a choice there of the national parks that have been predefined like grand parodies this is where originally focused our studies in eco potential so we choose grand parodies so national park we select the model and you can choose your region of interest as well the model is Eodes and you then select the date and we're going to select the 1st of May 2018 and you choose the image from the archive and we have a nice we found a nice clear image here and then we do the second date which is the 1st of May in 2019 and again select the image so you've got two images and you can be classifying each of those and I'm looking at the change between those so you can review the select the platform are you these are the area of interest to select the platform this is the eos and then you can then run the model so we've got this model it takes a while as with the other model you saw previously so we're going to go back through the history of what we've done before so what we'll do is we go to grand paradiso and this experiment shows the result of what we are running currently the main land cover in this particular type is water which appears as blue because it's it's actually snow but it's classified as water in the FAO as you enter more detail and actually put it into water in a later more detailed version of this and the classification so it's based on the FAO Lancaster classification system and there's eight classes which are mapped and you can see natural water and basically that's snow and there's eight classes there and forest and herbaceous vegetation not separated so you're not separating out forest in this particular legend but that can be done at a later stage as well now the legend zero and legend one show you then the land cover the legend for the two land cover classification for period one and period two and then there's another legend which is for associated the result to which shows you then the change in effect you have eight levels three categories the eight we talked about before and we basically compare them over time so each of these associated with a range of drivers like climate economic and associated pressures like demand for land or increase in temperature and impacts on the environment for example if we have a change from natural terrestrial vegetation to bear or sparsely vegetative surfaces this can be associated with a loss of impact loss of vegetation which is the impact but the pressure is say deforestation but each of those squares actually represents a major change in the land cover whereas on the diagonal actually it represents no change in the land cover but internally you could have a change say the canopy cover the canopy height and so on so basically that that change approach is very consistent and aligns with all of the political frameworks relating to the SDGs as well so beyond the national parks we're taking out to the Australian bushfires and these were large and severe in early 2020 and so we'll give you another example here in the history section which goes to the Australian bushfires in New South Wales and they caused extensive damage to many forests in Australia and unprecedented loss of biodiversity and the rainforest areas were particularly badly affected a lot of the forests like Eucalyptus are you know they can adapt they're adapted to fire but the rainforest is not and so a lot of those were destroyed so between the 15th to 11th of February you can see now this big change from the green of the result one to the complete loss of forest and results I'm sorry result one and it was basically saying it's converted a lot of that's converted to sparse or no vegetation and the result two is the change which is your eight category change so if you go to results two and that shows the extent of bushfires and I was actually visited there in March and there the that is the tree a very good representation of how massive that burn has been but what we can also do is see you know we saw a lot of recovery from these shrunks the tree trunks they sort of tend to grow up from the tree trunks so we look at what is called the recovery now so we've taken the image on the the latter date which is the 24th of February which was that just after the fire and we just looked on the night of May which is like you know about a week ago and you can see now that it's actually coming back the cover is starting to restore and you start and get some hope now into that area where you know you could see that in the field and it's really nice to see it's not all coming back some will take decades but at least it's going greener the next example is hurricane damage in the Bahamas and as an interesting hurricane coming up now was a it's a it's a storm and the you should know I hit in Bangladesh and so on we can look at that storm maybe in a couple of days time and see what the damage was so this is what we did with Hurricane Dorian in the Bahamas so on September the 26th of September 2019 a lot of the Bahamas was devastated so we look at the Bahamas before with our land cover classification and then we look at it afterwards and you can see that there's obviously a big change in the land cover and then the results which is the change and you can and you can see the legend there there's number two results number two that shows that there's extensive flooding and there's damage to the vegetation urban areas there's been a lot of flooding in there and that actually aligns very nicely with NASA's assessment of where the flooding was but we've actually also captured more than just the flooding we've captured the change in the vegetation the 64 change categories are captured through that the we can also look at then what's happening in the recovery of those areas I believe we have an example in the history of the Bahamas recovery we just picked that up again you know a couple of a week ago and you can see that it's still pretty sparsely vegetated all there but there's actually more vegetation coming back as there's a recovery of those areas so what we can do is is we can choose anywhere in the world anywhere in Europe or India or whatever we can change choose it we're providing a basic classification of the minute but we'll talk later on about how it can be advanced but that's the that's the big thing we've gone away we can support the National Park we support anywhere globally potentially with this and we've making significant advances in the higher level classification for this which we also want to run through as well the third example is what should be the fourth because it's about the mangroves in the Tang basically the mangrove forest reserve in the Tang has been in commercial operation about a hundred years so it's one of the oldest commercial forests in the world and we've been doing quite an extensive project there involving the virtual lab and showing them Malaysian people how it works as well and we can see how they log on a 30-year cycle and we can see the logging coop so we'll be zooming in in a minute we've got to be able to see the individual logging coop so they have the forest they cut it down for charcoal which interestingly goes to Japan a lot of it but also for poles for construction and so on and you can see now that these these coops are appearing in the mangroves and they regenerate they're about 30 years to regenerate them they clear them again so this this system allows the the forest managers to say okay what's been cleared you know this week if the clear image comes in what was cleared they can track it because they've got a lot of commercial operators there maybe they can check them with this for example so and also what they can then do is also track how the forests are recovering they can actually then use that to say well can we sustainly manage the forest is the forest being sustainably managed and so we can track all sorts of aspects in there as well so it's it's very this is the very upper level part of the framework but there's a very deep framework going we should go much further in and use the power of the computing facilities that have been provided here to produce a sort of endless supply of land cover and change and contributions to looking at future environments and looking at sustainability so it's a very exciting way of doing things and the platform gives a gives a great way to allow people to just look at what's happening so if you want to see the impact of the cyclone tomorrow just go and have a look through this platform thank you Richard