 Thank you everyone for showing up. I'm very very excited that I can share with you the opportunity to explore a little bit more what satellites can do in satellite-aided emergency management. And I want to start with the notion that practically leads us at Planet, which is that you can't fix what you can't see. And this resulted in the mission that we are following. So why is Planet doing what Planet is doing? Is that we want to image the entire globe on a daily basis to make change visible, accessible and actionable. How do we do this? We operate two satellite constellations which we develop, build and operate by ourselves with the headquarters in San Francisco and also another office here in Berlin. And I'm going to start with the left constellation you see here which is about this big actually. It's a CubeSat and that enables us to have about 180 to 200 of these satellites in orbit and they take images in 3 meter spatial resolution on a daily basis. So 3 meter spatial resolution for everyone that hasn't heard it means on one image that you have one pixel is 3 meters on the ground. So these satellites take these images also with eight spectral bands. So spectral analytics work in a sense and I think all of you have heard that grass looks green because it's actually everything but green. And this is the same technology that spectral analytics are doing. So they send a specific wavelength to the earth and what you get back is the analytics that you get out of it. In addition to this constellation we also operate a second satellite constellation called SkySat and this is a constellation that majorly distinguishes itself from the other satellites in that it doesn't take images automatically every day but only on demand so practically you send the satellite where it's supposed to take an image and it takes an image in a higher spatial resolution of 50 centimeters so six times more than the superduffs that you've seen before and you also have some limited capacity of these spectral analytics but not all the bands that you have on the superduffs. I was supposed to show you a video here unfortunately it doesn't really work with the PowerPoint because I've not created it in PowerPoint but if you're interested our stand is like 20 meters down there and I'm gonna show you the video afterwards but instead let's talk about what Planet is doing with this data so what we're aiming to do is really provide you with this daily and globally available data and we process the data already to a certain degree so that it is analysis ready and you can jump straight into what you're planning to do with the data and we provide this data via our own software it's a WMS we've developed and also the APIs and generally the cloud architecture which we've brought to industry standards. The entire process that we do for disaster management can be separated in tip and queue and also deeper analytics so tipping basically means you monitor large areas and until you eventually get a get a tip of an event that is about to happen let's say for example a flood and then you queue the higher spatial resolution satellite in order to take an image of this place in an even higher detail and on top of that with the spectral indices for example you can create analytics in order to predict floods model wildfire and so on and so forth I'm going to show you some some examples for that as well and before these examples start I want to have a circle around question and maybe ask you for a second what you think you could do if you had an image every day of the entire globe and you do not need to answer it right now because obviously I'm also trying to give you some inspiration here so let's go through the three cases that we have first and I'm going to circle back to this and I'm going to start with a use case that is very close to my heart because I've been working on it for the past two years about and it is water quality and how to better monitor it so this topic that I'm about to start with is harmful algae bloom or toxic blue and green algae again there's some issues with the translation from from a power point so if any headings are not quite clear I apologize for that but this is what you as a German might have seen already but I think this is also prominent in most other countries where you where you have lakes and this is basically warning signs that tell you please don't bathe here because it can be dangerous for you do algae have multiple health implications if you come into contact with it you can get a rush for example skin irritations respiratory issues worst case is death even though this seldomly happens and I want to go on an example specifically mentioned in the bottom right for every non-german speaker this is news of a dog that has died due to drinking this water and this is the lake that we're gonna look at what are you seeing here this is a compilation of images of planet images with the super doves and also sentinel images which is satellite constellation that is publicly available which is open source from the Copernicus program and this is the month of July 2021 showing you the exact timeline of this case that we were just looking at with the dog and as you can see on the bottom there is the scale green means very healthy obviously and the redder to purple it gets the higher the likelihood that there is toxic blue algae and you see the development over over the month 10th and 12th of July are the last sentinel images that you that you were getting so everything else is planet data and on the 9th of July the lake was already so contaminated with with toxic algae that it should have been closed off for visitors and people that want to bathe there however this information was not available to the officials and therefore what happened is 20th of July further contamination 21st of July the event happened and as a result someone needed to go to the officials they then manually checked the lake and only on the next day were able to close it off due to the information that they then collected obviously this could have been prevented and just generally predicted much much earlier because of course it's difficult to monitor every lake on the ground there's so many I imagine mecklenburg four poman has about 2000 lakes so sending someone to every lake every week is quite impossible another topic I want to address here is that we monitor the chlorophyll in this water which is responsible for the toxic blue algae to sprout however it is also a main indicator for other environmental hazards such as very salinated water for example and what you see here is last year we had a case where lots of tons of fish died and everyone was thinking okay why did this happen where did this happen and when did it occur in the first place because this was a big mystery in the beginning and Planet together with its trusted partners EOMAP as well as the Helmholtz UFC have conducted an analysis where we used data from the past so because PlanetScope is taking these images daily you practically also have images of places that you didn't know you need an image beforehand so it's a little bit like time traveling for for analysts and you can analyze the water even though the actual contaminated water is long washed away in the ocean already so with the yellow bands we were able to to detect the chlorophyll contents in the water what you see here yellow is bad and green is good if it would be very red that would mean a very would mean a lot of chlorophyll content basically and due to this we were able to track back where the water was coming from initially it was a mining company that dumped its very salty water into a side river of the order and with this analytics it was possible to track back where the event happened and who was responsible for it which is of course in terms of this scale of a catastrophe very important to figure out so that is what you see on the right side here the event started on the bottom right in lipkeep where the mine is and then throughout august you can see how the chlorophyll slowly moves up towards the north and on the bottom left you see basically the chlorophyll contents on the upper scale and to the right then the dates and then in multiple cities the chlorophyll content from the 3rd of august about rise significantly and this is an alert system that you can create all the dots are virtual measurement stations which you can have any number of practically and this alert system could have been implemented already but of course at that time officials weren't aware of it so it wasn't utilized from water to fire wildfire response and prevention is what i want to discuss with you next or explore with you further and i'm going to start with a very simple visualization this is another spectral band that we're utilizing for this for this image practically and it shows you where the burn scars are whether fire has really raged and which areas are affected to really better assess the damage i've brought another example a more recent one that probably most of you are familiar with as well which is from lahaina on hawaii and on the left you have the before image you see it's much more vegetated and especially towards the water and then on the right you don't really see that vegetation anymore on the top of the image you also see the massive burn scars interestingly behind this bigger road towards the right the vegetation is still fine maybe they've managed to cut the fire off there but this gives you a better overview of the of the entire situation and also enables the next product that we've developed in collaboration with microsoft this is based on ai and is a building damage assessment not only telling you which buildings are affected but also to which degree these buildings are affected so you can better coordinate your on the ground resources and send help to these places that really need it most than first what you can do in terms of prevention is to utilize soil water content what you see on the right is a graph that we've developed with the national institute of wildfires in the netherlands and it correlates soil water content with the occurrence of wildfires and the blue line stands for soil water content per cubic meter in the ground and as you can see in the middle of this graph it's significantly dropped for a while whereas the occurrence of wildfires significantly rose during this time and another video i've planned but which unfortunately doesn't work i can also show you this at our booth of course fortunately enough it's relatively you can still see what it would be telling you everything that is very dark blue on this video slash image means that the soil is very saturated with water so there's a very high soil water content whereas on the bottom right that you see there next to italy you see that it's very orange and this just means the opposite of the scale so it is very very dry it's a very dry area and there's very little water in the soil this is an early warning indicator for wildfires but can also be used for for other disasters such as yield forecast for example droughts being also more prominent in southern europe and then my last example that i want to bring to you a quick collection of images of new south wales we had a flood here and this is a planet scope image you can see from from the catastrophe as it happened and we're going to look a little bit more this is like the tip in queue process you are tipped off this is quite easy to detect in terms of tipping and then you have the details of skyset which show you better where the water is really running through the extent on how deep the water is this is an entire sports course underwater and then on the bottom right you see where the buildings are still unaffected and most importantly where critical infrastructure is damaged and where you need to focus on repairing in order to get these resources that you want to get to the right people especially if you have heavy equipment or machinery that you need to transport and then again the opposite spectrum which i briefly mentioned this is the atal in particular where we had a flood two years ago and this is the soil water content before it happened as you can see highly oversaturated and in combination with meteorological data and you can of course with quite a high accuracy forecast that this area was prone to be flooded considering the the environment that we had