cited prices for $55000000.00 per person. you're watching the news. just reminder of the top story we're following for you today. ukraine's president beloved as lensky has secured promises of weaponry and support at the g. 7 summit in japan slants, he said he hopes a new piece plan could end the war and ukraine and conflicts world war our tech show shift is up next. i'm terry martin. thanks for watching the can you hear the we are all set. we are watching close all the to bring you the story behind the new your own about on volume information for free might do to name the

image and how many portion of loads of turn out in the world climate change. the story faces much less the way from just one week. how much was going to really get we still have time to act. i'm going to like this the we have thing extreme hate plus extreme rain these days. natural disasters like far as far as and funding of becoming increasingly common due to climate change. but how can the digital technology help us out? that's the topic today on ship the

weather. it's mudslides in brazil, off to heavy rain. destructive tornadoes in the us or extreme heat wave. as in india, climate change impacts all of us fires are destroying many hector has a forest, both here in berlin and across europe. never before has flat cost so much damage. here as in 2022 people play an important role. well, it takes is picking one little cigarette, but, and you might end up with a raging inferno before i thought as a using digital tech to track down and put out for us as early as possible. when as far as by a break sounds, there's no time to lose, but it might take residence hours or even days to report that special technology can help reduce that time to a few minutes. several companies work with also official intelligent software. i'm a licensed satellite images and sensors on the ground, checking for smooth shifts and thermal infrared data that could indicate to fire. and this one is detected. first responders receive

a notification which she learning. we can actually teach the computers to identify on actual flame, or we can also teach that technology to determine if it's using thermal imagery, whether it's a station or explain perhaps a power station compared to a moving plane for the low flyer. so in that space, the kind of warranty for which it makes the detection is really important. why apply as a haul to control claims can change direction depending on the wind or they can spread at different speeds. by a map predict california will spread for the next hour. it's built on deep learning and consider the dryness of vegetation, historical fire perimeters and such a light blue ground sense of data and this other software to simulate how wild fires will spread and health officials direct firefighters and evacuation.

once all the data is available, it's time for the fly flight is to get to work and they have to move fast. any well equipped, same needs the help of drones and extinguishing robots these days. and they are even helmets that use old method reality to display useful information. let's take a look. innovative helmets also help firefighters on the ground. these helmets feature augmented reality technology and thermal imaging, which enables firefighters to see through smoke and darkness. that way they can find and rescue people trapped by fires and bring them to safety more quickly. but things get really dangerous when firefighters end up trapped by fire. so that's where fire extinguishing robots coming. users can control them remotely from up to 200 meters away. and with a digital control station, their range can go all the way up to 2 and a half kilometers. users can guide the robot with its built in cameras. drones can

provide additional safety. they're often used to transmit images and information on wild fires and real time. also, they can fly and smoky conditions or at night when it's dark and can carry water. they can be controlled with an app. the jones can be, can be easily, effectively also. ready lanes, especially because they can get quite close to the target without missing any lice . many fire fights this every die actually in point of like a crop misses a. so from that perspective, even if you've replaced life by like it's, it's a big advantage and technology not to expose you. most of those things just all i think the fine with that. but the best way to fight for us wise is to prevent them from breaking out in the 1st place. so once us over the world of working on systems to predict where and why something might catch a lot. and in california, they've come a long way in finding answers to those questions. california is fire fighting agency works with computer modeling to create daily wildfire risk full costs. these

full costs are usually based on graphic information systems o g i. yes. a computer system that analyzes geographically reference data like maps, street buildings and vegetation. the simulations can help identify risk areas because they are densely populated. to have a lot of dr. agitation. the authorities come them sign accordingly. for example, removing the dead trees that could become fuel. so while the effects of the climate crisis, such as the via sheets and droughts of fueling wild fires, today's technology is improving the precision of early warning systems. it's much better to identify the risk for fire and also have any issues by next you finding a bias. so technology spell the most useful in preventing files from happening in the festivals. of course, we can prevent every disaster because one thing is clear. extreme weather isn't going to go anywhere,

and i'm not just talking about extreme hates causing drops and fires. heavy rain will lead to flooding as well. so that's why it's important to be well prepared with precise where the full costs satellites regularly transmit the latest data. and that data needs to be analyzed and assessed quickly, but that's almost impossible without artificial intelligence meteorologist to rely on local observations and also assess data transmitted from over $800.00 weather satellites. the key to analyzing this data as quickly as possible often involves machine learning. we have so many satellites up in the air now. and so they give us the time data and it's, it's like a mountain of data. so if we have hit the point where it's just not possible to do it by hand, and the more it's just not possible to do anything that time, that is the time that we need for intervention. so i think that these technologies, how it's becoming really needed, and they slowly, you know, percolating into into practice. one important task is combining the different types of data transmitted by satellites where people think of a satellite,

even if they think about the colors. let's see. because you know it, we all use google not separate a tool to banner types, but it was uploaded by that much different types of data. you know, when there is a storm, it's very cloudy and traditional stuff that i do not see anything, for example. so people tend to use radar data for that. there was a lot of these different satellites, or between of overhead and this, that the job of it machine learning specialist like me, is try to make sense of all of them together because everyone completes the weakness of the other. the cleaned up data can then be entered into computer models to simulate the physics of the atmosphere and oceans. these models divide up the world into a grid and in each square, they simulate the physical process is key to forecasting with. this way, the models can estimate what the weather will be like in the coming days with a high degree of precision. but what good are

the best calculations if residents not notified? or if i don't take the warning seriously, in 2021 over 220 people died in one single rain storm in central europe. that the spot the fact that they would notified of the danger. however, countries like india that have been struggling with the effects of climate change for decades are well prepared for the 2013 sites and mainland mainland full in india. and although the 6th stream, the strong storm reached wind speeds of over 200 kilometers an hour and coast extensive flooding, just $22.00 people died. but a similar site close to 1999 killed 10000. so won't change the. the indian weather service now provides detailed warnings by text, message, email, phone, tv, radio, social,

media, and other websites. the messages are spread locally to the people's follows our instructions. but the situation in europe is completely different, and people are not yet taking the effects of climate change. serious in 2021. the storm in germany, belgium, i'm the netherlands code. more than 220 people as scientists, we were, we were really shocked by, by the, the scale of the impact of the floods. we certainly shouldn't be seeing that number of desks from, from the kind of, for the event. the flooding was devastating. even just spice extensive research on early warning system. now though, in the city of austin and western germany, a risk based rain warning system which is under development is meant to predict precipitation amounts down to the square meter in europe. we're very good

at large investments in the science of climate change and that gives us they see a big weather full cost models that can predict things, but the further ahead of an event. but what we really need to do is understand the decisions that are being made in those local local communities. so that's still work to be done and what your opinions could really learn a lot from all the countries. local emergency teams have to prepare as best they can forward as offices, and so they need really good maps that are perfectly up to date. that's with humanitarian open, straightened that teen comes in. the global n g o provides mapped off for disasters to achieve this state employee open source programs and artificial intelligence. most of the times when it decides to happens, we would like to have system. the one does get this information strictly as possible to 8 to the response. so, but to be safe, people slides online volunteers from across the globe can help provide data for

regions that are unmapped or have errors or they can update them after natural disasters. and the digital technology really helps we have quite a number of distilled living ups, but we use with a hot develop but mostly of what to kim and these, we use them to speed up collection of real time points of interest. and we also have um, my bloody, which we used to collect street level imagery, did you have a real time to do what is happened? the map with a i surface helps users plot new data in open street map. the program uses machine learning to suggest in the streets and pads the humans later have to verify and maybe add missing details to the combination of human and artificial intelligence is meant to help with responding to natural disasters quickly and adequately. we will have a system where

a satellite imagery looks at the place that they've been as being flooded. for example, the identified gary as we will have deepening distress. we come mind social media with some, some sentiment that knowledge, especially learning technology to see if we can locate that better, some drawings. we with the vision technology that was like highlight people roof for rescue ration. and this quote, for example, guided people on the ground that will then be able to save life. even for me, it's an example of what for the system. i think that is in the system that will be very useful. satellite pictures, drones and image recognition software based technologies can save lives during natural disasters. all right, can it's good. the things designs us. we can react data to storms fires and droughts. now do you receive digital warnings before? natural disasters struck in your country? let us know and write to us on youtube and d, w dot com. thanks for watching and see you next on the

ico asked for. com. it's something really good because this is a and i do that to be used by generations and generations become geothermal energy that is clean and sustainable. the power of the is helping can you meet that goal to become climate neutral by 20 such for next on d, w the hello and welcome to another edition of the 77 percent. we investigate stuff phenomenon of process who use god. read on the gospel to money for leads and the next flights vulnerable

people will look at house. sounds. hospice, a findings, sneaky ways of an invasion themselves. the 77 percent 60 he's got issues with a lot say what the we call her mother us because she not use those and diesels and person would need like food and.