Airbus Role in Disaster Management with Victor Baudin | Airbus Defence and Space

Hello, my name I'm very happy to be with you today on this topic uh important topic and how our satellite data could be used notably for disaster management uh and support and also during uh construction for urban developments. So um to plot the scene uh the last uh past 20 years the numbers of natural disaster are nearly doubled. At the same time, cities have been growing at a pace that never seen in the past. Uh would I say the climate change is uh driving more intense and frequent um natural disaster which increase a lot of cost at the end. It is estimated at $100 billion dollar per years. And the human tool is quite heavy because you have to uh place people you have also to uh make sure that uh you could relocate them in other place. So long-lasting consequences and at the same time the urban developments is quite high. In 2050 70% of the global population will live in a city and often this is in high expo exposure zone. For example, seismic area, float planes or uh areas that could be uh connected to a dough. Um with all this in mind, in fact there is a link. The link is when you have a poor planning in fact you have risk for construction and at the same times if you have natural disaster it impacts a lot the sustainable growth of cities. So this is where our constellation Abus constellation is bringing value by bringing data insights for uh people to uh create and uh create insights to have info for sustainable growth. When mentioning our constellation in fact we could divide it in two categories the optical satellite sensors and the radar sensors. For the optical we have a large breath of resolution range of resolution from 1.5 meters with spots regional mapping perfect when you need global overview up to very high resolution with our pads and pis nail neo satellites down to 30 cm GSD which is totally perfect when you need to ban um activities for a bump planning etc. And even more with HD15, a postprocessing option allowing you to have fine features easily to distinguish. On the other side, you have also the radar sensors Terasa X, Tandm X and PZ uh working days and night and clown condition. So perfect when you need also to have continuity. Uh thanks to INSAR interferometrics, it is also possible to detect ground deformation. So perfect when you need to monitor a project such as for example underground construction. Our constellation is scalable because you have large range of resolution for different uh resolution from very high regional scale to down to very street uh precise level. We have also a long historical path because of all of our archive available 2012 for optical 2007 for archive. So you have all these story when you need to build a project and also a huge flexibility thanks to rapid tasking and rapid delivery. So just to mention it and to details I would like to cast light on piso for that 50 plans per satellites per day. We have also lat last last minute weather forecast. So availing you to postpone cancel your acquisition depending on the weather and or also fresh uh sorry last minute tasking available. So every tasking plan are updated every 15 minutes. So at the North Pole and you can submit a request up to 45 minutes after uh before acquisition. So very reactive when you need to act uh in a crazy event or uh something like this. So perfect transition to my next slide which is the cycle of uh disaster management. In fact, it's always sum up as just the response uh during the crisis, the critical hours. But in fact, uh disaster management, it's a global cycle from prevention, the response, okay, the critical hours and then the recovery and the adaptation to reconstruct better and in a sustainable way. So during prevention, our satellites are could be used with some products to create models to make them available for example to scientists to anticipate risk to plan to anticipate to prevent any damages that could occur for the population. Uh we could also detect early signs such as for example vegetation stress that could lead for example to the index for the risk for for example uh high or huge wildfires. Uh during the response critical hours, our satellites thanks to their flight uh flexibility and also the optical and the radar, we are able to support rescue forces to uh better act to guide them during the response to be sure that they could uh have the global overview of the damages and what is on the ground to make the best decision at the moment. And last but not least, the recovery. Thanks to our archive, it's possible to have the historical past to know what was in the past, what is the current situation and then to prevent and to anticipate a better reconstruction and to build back better in a sustainable way. I will just uh mention things is our consolation is used notably during for the uh to support the copernicus program copernicus emergency management service. So we supply a lot of data for this uh typical crisis event to the communities worldwide communities. So some example uh this one is uh world dam neo example so on a DTM so it's in northeastern Germany and it's a simulation of a damre scenario by the way in the end of this scenario is okay thanks to this model it has been possible for scientists to predict that in 16 hours after the break the valley would be flooded so then for the community's availability to uh anticipate the risk to maybe uh have a better rescue plan etc to make sure everything is uh correct. Another one is during uh I'm pretty sure you will recognize it. It's Blaten Glatsier in Switzerland. So in May uh there were a huge uh rockfall 6 million cubic meters of debris. So very uh huge. Here it's a playad's no image and as you can see in one pictures you have a global overview of what's happening here. Uh you can measure the different dimension estimates the volume etc. So very useful for that and also to check uh early sign before maybe to assess the impact afterwards. So here it's for example the aerial view. Uh so as you can see with a satellite you have quite similar view. Um here it's a zoom where you could see that uh the valley is totally recovered by debris and unfortunately people were evacuated before and here another example with uh the river that is blocked and though the village that is flooded uh due to the debris. Another example during the summer in France, maybe you were aware, there were huge wildfires and we were able to supply with lots of data rescue forces to give them a global overview of uh the the impact. So here for example it's a view where you can easily distinguish water bumper for instance but this one is more uh important because you have a large scale image thanks to spot where you could detect and to uh check the impact of the biggest white fires this summer in France 18,000 hectares that were burned so you can evaluate this and with for example historical data check what was here what could be also uh make for the future. But I mentioned it at the beginning, our consolation do not only support uh government uh civilian rescue forces during uh crisis events. We also provide some products that are good for an an appropriate and sustainable urban development. So for example with our stereo and three stereo acquisition mode it is possible to derive models that could be used for urban planning construction uh we can give them to civil engineering companies for instance to make them uh assess the impact or the best approach to construct a bridge for example or uh to uh construct a district in a city. Directly linked to that we have also digital twins. Thanks to this we can also derive digital twins that are used by a lot of people now to prevent uh any risk in the city anticipate construction etc. And I encourage everyone to assist tomorrow my colleague Zakable who will give a speech about this on this topic especially with uh ground monitoring also within SAR it is possible to derive I mention it subsidance or uplift at a millimeter scale precision. So very good for monitoring underground project for instance uh check if for example the tunel is well uh constructed if there is damages on the surface also to prevent uh coastal coastal tides etc. So very appropriate for that. Uh with our data and all the archive we have it's possible to derive historical analysis, temporal analysis to know how is the city now, how it was in the past, how was also the land cover, the land use, how it has been uh what I say urbanized and what could be the risk for the future. So temporal analysis gives you the way to go from past to now and even to the future. And with data that are accurate, fresh, our decision makers, governments, local authorities, communities could make very good and evident- based decision to make the appropriate developments for the city, for the company, for for everyone. So with our constellation we are able to create a more uh sustainable way to anticipate the future and to support uh sustainable cities construction. I will just give you examples. So I mentioned it at the beginning the insar here you have for example an example in anguri during the construction of the underground. So you can see with the number of dots the precision we could have for the scale. So you could see in green okay in red there is subsidance. So with military precision. So very good for that. Um so all of our sensors could be used for planning before having a global overview of the area. Then during also the analysis to make sure that you plan everything correctly. So project planning monitoring of what is happening on the ground. evaluate infrastructure maybe infrastructure uh impact on the run and at the end of course the environmental impact of your project when you for example uh decided to expand the city uh in different manners we can also supply very large overview for example here you have uh the example over San Francisco where uh spot global layers give you a global overview of your region so here easy to distinguish the long cover land use uh how it is urbanized where are for example green areas etc but I mentioned it at the beginning very fine details also thanks to HD15 where you could see very precisely small details easy to distinguish when you need to plan uh for example urban growth when you need to reconstruct a district or something like this it's a perfect uh tool for urban decision makers another point 3D textured model. Of course, thanks to stereo and three stereo acquisition, we can also create 3D textured model which is the foundation for all of our of all digital twin because with that for example over captown it's easy to modelize to simulate what could be the impact of any project any risk on the city any uh I would say uh pre also prepare a sustainable growth of the of the city. So a perfect tool and tomorrow you will have more details with my colleagues. So to hand up quite this presentation we have uh two different approach. Often natural disaster and uh urban development are treated as two different uh domain but in reality this is two phase of a cycle uh of the same resilient cycle where we can supply with data. So when you we prevent we provide data for example before any crisis any damages for rescue anticipation to prepare plan during also crisis events but also after we can provide data to support the reconstruction to have the build back before our unique differentiator are I remind them agility because we have a large scale and wide range resolution wide range also of sensors and data we can provides with flexible tasking, rapid delivery. We also have precision, I mentioned it, 30 cm up to HD15, 1 meter and a half for large scale overview, but also radar for ground movements. So, substrate level continuity with archive in our catalog, but also new tasking, new acquisition. And my last slide will be next generation sensors to come. uh a global trust from all of our partners because we deliver lots of data for governments, for NGO, United Nations, but also the private sectors. We have plenty of customers using our data every day and also intelligence because we are not only delivering pixel when it's needed. We can also deliver intelligent actionable intelligence and decision decision ready tools. So looking ahead our next generation uh that is going to come. So in response to future cities and um what is coming we would like to introduce what could we what we could do in the future. I would just start with pad neo next we announcing it a few now months ago. So 20 cm class sensor it will be uh the next generation for details more uh revisits more data to come also other sensors in our constellation to guarantee our customers the continuity for the future and our uh ambition is to remain at the forefront of the geospecial intelligence as a trusted partner for all governments uh institutions and also the private sectors. We would like also to derive not only the provision of data but also to provide a global ecosystem. So you will hear this uh also for the main stage presentation on Thursday. So uh our constellation is a perfect tool for now but will remain a perfect tool for tomorrow for uh supporting all uh government and institution during their natural uh crisis response uh activities but also to help uh urban planning uh civil engineering companies to uh have sustainable cities in the future. So uh thank you very much for attention.