allocated $3000000.00 us dollars to enable 8 agencies to respond to the floods in pakistan. but the government says a lot more was needed to get 8 to all day. so need it. that's all for now. up. next shift looks at how technology can tackle the problem of floods, droughts, and forest fires. stay tuned for that and don't forget, you can always stay up to date on our website. it's d w dot com. i'm michael oke, who in berlin for me and the rest of the news team here. thanks so much for watching. very well today we'll make the gentleman that he just did the john love and banning thing that the way from but i'm not even have to watch my own car and everyone with later holes in every day getting are you ready to meet the german can join me right,

just do it on d. w. a vibrant habitat ended glistening place of longing. the mediterranean sea. he had almost roar and to follow a dual career drift along with exploring modern lifestyles and the mediterranean meeting people out there, hearing their dreams of mentally journey. this week on the w, we are seeing extreme hate plus extreme rain these days. natural disasters like forest fires and flooding are becoming increasingly common due to climate change. but how can digital technology help us out? that's our topic today on shift. ah, shoot. whether it's mudslides in brazil, off to heavy rain,

destructive tornadoes in the u. s. or extreme heat waves, india, climate change impacts. all of us fires are destroying many heck, there's a forest both here in berlin and across europe. never before has for a call so much damage here as in 2022 and people play an important role. all it takes is picking one little cigarette but, and you might end up with a raging inferno. before i fight as a using digital tech to track down and put out fires as early as possible. when a forest fire 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 artificial intelligence, software analyzes satellite images and sensors on the ground, checking for smoke, all shifts, and thermal infrared data that could indicate a fire. and if one is detected, 1st 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 stationary flame from perhaps a power station compared to a moving flame from a wire. so in that sense, the terminology for automated detection is really wild. why is a hard to control? flames can change direction depending on the wind or they can spread it different. the fire map predict how a fire will spread for the next hour. it's built on deep learning and consider the weather, dryness of vegetation, historical fire perimeters and satellite, all ground sensor data. and there's other software to simulate how wildfires will spread and health officials, direct firefighters and evacuation. once all the data is available, it's time for the firefighters to get to work,

and they have to move fast. any well equipped a needs the help of drones and extinguishing robots these days, and there are even helmets that use old mentored 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 come in. 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 it's built in cameras. drones can provide additional safety. they are often used to transmit images and information

on wild fires in 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 used for effectively on. ready planes, especially because they can get quite close to the targets without risking any lice . many fire fights this every year die actually in fire fighting a crop mrs. a. so that if, even if you replace like by like it's, it's a big advantage in technology not to expose you most of those dangerous. i think the fine with the best way to fight forest fires is to prevent them from breaking out in the 1st place. scientists all over the world, a working on systems to predict where and why something might catch a light and in california they've come a long way in finding answers to those questions. california as fire fighting agency, works with computer modeling to create davy wildfire risks full costs. these full

costs are usually based on g information systems or 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 or have a lot of dr. agitation. the authorities can then plan accordingly. for example, removing dead trees that could become fuel. so while the effects of the climate crisis, such a severe heat and drought of fueling wildfires, today's technology is improving the precision of early warning systems. it's much better to identify the risk for fire and not having it by nancy fighting a fire. so technology is probably most useful in preventing fire from happening in the 1st. of course, we can't prevent every disaster because one things clear extreme weather isn't going to go anywhere. and not just talking about extreme heat causing droughts 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 forecasts satellites regularly transmit the latest data. and that data needs to be analyzed and assessed quickly. but that's almost impossible without artificial intelligence. meteorologists 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 is like amounting of data. so if we have hit the point where it's just not possible to do it by hand, the more it's just not possible to do in a time. that is the time that we need for intervention. so i think that this technology now is becoming really needed and a slowly, you know, percolating into into practice. one important task is combining the different types of data transmitted by satellites. people think of

a satellite image to think about the colors because, you know, we all use google maps every day till to planner tricks. but it was, i didn't buy that much different types of data. you know, when there is a storm, it's very cloudy, and traditional satellites do not see any, for example. so he both tend to use radar data for that. there is a lot of these different satellite orbiting above our heads, and then the jabal machine learning specialist. let me 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 processes 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 are not notified? or if they don't take the warning seriously? in 2021 over 220 people died in one single rainstorm in central europe. that despite the fact that they were notified of the danger. however, countries like india that have been struggling with the effects of climate change for decades are well prepared. not tobar 2013 cycling fail and made landfall in india. and although the 6 streamline strong storm reached wind speeds of over 200 kilometers an hour and caused extensive flooding. just 22 people died. but a similar psych loan and 1999 kill 10000. so what changed 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 and the people there in structure of the situation in europe is completely different. and people are not yet taking the effects of climate change. a 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 scale of the impact of the floods. we certainly shouldn't be seeing that number of deaths from, from that kind of flood event. the flooding was devastating, even despite extensive research on early warning systems. now though, in the city of arson 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 those

big weather forecast models that could predict things further 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 there's still work to be done and we're europeans could really learn a lot from other countries. local emergency teams have to prepare as best they can for disasters. and so they need really good maps that are perfectly up to date. that's where humanitarian open st matt team comes in. the global angio provides map data for disasters to achieve this. they employ open source programs and artificial intelligence. most of the times when it deserves the hub in we would like to have sister sponder step this think will mission is strictly as possible to end the response so that we save people's lives. ah, online volunteers from across the globe can help provide data for regents that are

unmapped or have errors or they can update them after natural disasters. and the digital technology really helps. we have quite humble dormitory ups that we use within hot develop, but mostly our to kim and this we use them to speed up collection of real time points of interest. and we also have our my blurry which we used to collect, stood live, what madry did, you will temp put into what is happened. the map with a i service helps users plot new data in open street map. the program uses machine learning to suggest streets and pads that humans later have to verify and may be 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 image looks at the place that has been as being flooded. for example,

he identifies garrath where we could have people in distress. we can my social media, we did some, some sentiment analysis, machine learning technology to see if we can locate a better st. john's way with vision technology that like i like people on roof for ask your gracious and disco, for example, guide people on the ground that will then be able to save life is for anthony example of what could be assisted in dennison system. that will be very useful. satellite pictures, drones and image recognition software. these technologies can save lives during natural disasters. i reckon it's good that thanks to scientists, we can react better to storms fires and droughts. now, do you receive digital warnings before natural disasters strike in your country? let us know and write to us on youtube and d, w dot com. thanks for watching and see you next time. ah

ah ah ah ah, the various one enter move most popular tourist destinations, the regions incredible variety of landscape make it a paradise for those. seeking a more active holiday though it looks like we're going to get a lot of exercise than while i'm here. and while i'm at it, i want to find out the ways in which the corano buyers, pandemic and climate scenes are affecting tourism. here in the checking d, w and climate change has long become a fact of life. but most people still underestimate the consequences. it will have for them. thank what exactly happens in the brain when we block out unpleasant information and the latest neuro scientific findings offer some explanations. the

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