kinsey brown brown's refutation was, however, tarnished by repeated charges of domestic violence. he was an nfl hall of famer, and he was widely regarded as one of the greatest and most influential players in the history of this port. if you're up to date on the w news, stay tuned for shift living in the digital age. a, mary, anna, m staying from me as the entire news team in berlin. thanks for the company. the loudest voice, i am must see all the new jobs. she's the face of a protest movement. i did not think so many women would send me the photos.

she's there motivator. all of us hire on this one must be the and she won't give up to watch the stomach for public took my brother hostage a few days ago. but at the trying to sign in the scene of the job, they will be silent. starts june 3rd on dw, 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 a topic today on ship the weather. it's mudslides in brazil of to heavy rain. destructive tornadoes in the us

or extreme heat waves 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 costs, so much damage here as in 2022 and people play an important role. well, it takes is picking one little cigarette butts and you might end up with a raging in front of the flood as a using digital tech to track down and put out for us as early as possible. when, as far as via breaks out, 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 idolize assessing light, images and sensors on the ground, checking for smooth shifts and famel, infrared data that could indicate to fire. and if one is detected, 1st responders receive a notification. with machine learning,

we can actually teach the computers to identify on actual flame, or we can also teach that technology to determine if it's easy, simple imagery, whether it's a stationary lame, perhaps a power station compared to a moving plane from the law class. so in that sense of the terms of warranty or to make the detection is really important. wildfire is a hall to control. claims can change direction depending on the wind, or they can spread at different speeds. by a map predict california was suppressed for the next hour. it's built on deep learning and considered as the web, 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 of actuation. 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 team needs the help of drones and extinguishing robots these days. and there 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 of 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, the range can go all the way up to 2 and a half kilometers. users can guide the robot with it's built in cameras. drones can provide additional safety. they're often used to transmit images and information on

a 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. jones can be, can be easily effective. the smaller planes, especially because they can get quite close to the target without risking any lice . many fire fights this every die actually in point of what you guys missed was a so from that perspective, even if you replace life by like it's, it's a big advantage. the 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 it says all 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 via facing agency, works with computer modeling to create daily wildfire risk full costs. these full

costs are usually based on geographic information systems of g i. yes. a computer system that analyzes geographically reference data, like much, st buildings and vegetation. the simulations can help identify risk areas because they are densely populated, over of a notice dr. agitation. the authorities come then sign accordingly. for example, removing the trees that could become fuel. so while the effects of the climate crisis, such a severe sheets and drought of fueling wild fires, today's technology is improving the precision of early warning systems. it's much the identify the restore files and also having a user by next you finding a file. so technology is probably most useful in preventing files from happening in the festivals. of course, we can't 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, whether 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 points where it's just not possible to do it by hand anymore, it's just not possible to do anything a time. that is the time that we need for intervention. so i think that this technology is always 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. mostly because, you know, we, we all use google not every day to, to buy their trades, but it's not pleasant, but much different types of data. you know, when there is a storm, it's very cloudy, and traditional satellites do not see anything, for example. so people tend to use radar data for that. there is a lot of these different satellites, or between above or pets. and this, the job of machine learning, especially like me, is to 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 the 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 processes key to forecasting with. this with 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 sikes, the mainland mainland full in india. and although the 6th stream lease strong storm reached wind speeds of over 200 kilometers an hour and coast extensive, subbing 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 is spread locally to the people follow their 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 and the netherlands killed 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 further then the flooding was devastating. even just spice extensive research on lead warning system. now though, in the city of austin in 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 space

the big whether full cost models that can predict things, but further ahead of an event. but what we really need to do is understand the decisions that are being made in those live local communities. so that still work to be done and what your opinions could really learn a lot from other 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, straight map team 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 a default that happens where you would like to have the splendid step you see permission to speak to as possible to aid to be at this point. so, but to be safe people's lives. 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 you still making ups, but we use we didn't hot develop bi monthly or what to kim. and these, we use them to speed up collection of real time points of interest. and we also have um, my buddy, which we used to collect level imagery, did you have a real time to do what is happened? the map with a i service helps users plus new data in open street map. the program uses machine learning to suggest 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 areas where we will have deeply distress. we come, mind social media with some some sentiment that natalie just mentioned. learning technology to see if we can locate a better sam drawings. we with the vision of technology that was like highlight people on a roof or ask your gratian and this quote, for example, guided people on the ground that will then be able to save lives. even for me, it's an example of what for the assistant management system that will be very useful satellite pictures, drones and image recognition software. these technologies can save lives during natural disasters. all right, and it's good. the things designs us, we can react better to storms, flies and drops. now, do you receive digital warnings before natural disasters struck in your country? let us know and write to us on youtube and the w dot com. thanks for watching and see you next on the

board, the slide in real time on social media. unsafe exams and splint, one of the people. the key word here is the word face. how are the strategies different rules do unites right to the where the new digital battle lines being drawn the propaganda war for ukraine. next on d, w some, some boy to the moose. so talk to architect in the world. david ship, a field award winning stock detect i'm master is minimally what's behind

his success. we find out from frontier womack, taking 2 hours. what secrets why behind things was discovered new adventures and 360 degrees and explore fascinating world heritage sites dw world heritage 360 yeah. now the the .