state finally, pop fans are celebrating a highly anticipated duet between 2 of the biggest stars in the world. oh, good. but hold me closer. it is the 1st new song by brittany spears since her guardianship ended last year. it's a collaboration with elton john based on his 1971 hit tiny dancer do it has already shot the top of the streaming charts. that's all for us for now. i'm nick spicer. thanks for watching. mm hm. they want to know what makes the janet he just did the john love on banning thing that way. but i'm not even know how to work my own car and everyone with later holes in every single day. just getting are you ready to meet the gym and

then join me, right. just do it on d. w. a vibrant habitat ended go listening place of morning. the mediterranean sea have almost heart and to follow up to korea drift along with exploring modern lifestyles and the mediterranean meeting. people actually hearing their dreams or maybe to me journey this week on. do you w with we are seeing extreme, hey, 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,

whether it's mudslides in brazil after heavy rain destructive tornadoes in the u. s . or extreme heat waves in india, climate change impacts all of us fires are destroying many heck as a forest. both here in berlin and across europe. never before has fire 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 fought as a using digital tech to track down and put out fires as early as possible. when the forest fire breaks out, there's no time to lose. but it might take residents 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 an 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 of the terminology for automated detection is really wild . why is a haul to control claims can change direction depending on the wind or they can spread a different speed via map predict how a fire will spread for the next hour. it's built on deep learning and consider the weather, dryness, the vegetation, historical fire perimeters and satellite, all ground sensor data. and this other software to simulate how wildfires was 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 team 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 read to 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 wildfires 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 smallest planes, especially because they can get quite close to the targets without risking any lice . many fire fights this every you die actually in fire fighting 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 missed those dangerous lighting fi with that. but the best way to fight forest wires is to prevent them from breaking out in the 1st place. scientists all over the world are 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 daily wildfire risks full costs. these full

costs are usually based on geographic information systems or g. i. s a computer system that analyzes geographically reference data like maps, st buildings and vegetation. the simulations can help identify risk areas because they are densely populated or have a lot of dr. vegetation. the authorities can then plan accordingly. for example, removing dead trees that could become fuel. so while the effects of the climate crisis, such severe heat and drought a 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 not having it by nancy fighting a fire. so technologies probably most useful in preventing fire from happening and 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 hate 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 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 is like amounting of data. so if we have heat at 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 where people think about satellite humans to

think about colors. because, you know, we, we all use google maps every day to, to plan their trips. but it was applied to my are much different types of data. you know, when there is a storm, it's very cloudy, and tradition of satellites do not see anything, for example. so people tend to use radar data for that. there is a lot of these different satellite or between above our heads and that the job of machine learning specialist like me try to make sense all of them together because every one 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 weather. 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. in october 2013 cyclone feeling made landfall in india. and although the 6th 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 killed 10000. so what change the indian weather service now provides detailed warnings by text, message, e mail, phone, tv, radio,

social media and other websites. the messages are spread locally to and the people follow their instructions. but 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 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 system. now though, in the city of austin and west and 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 are very good at large investments in the science of climate change and that gives us

a big weather for cost models that can protect things for further ahead of an event . but what we really need to do is understand the decisions that are being made in those little 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 decides to help him. we would liked to her sister sponder statistical mission is strictly as possible to aid the response so that we said people slight, 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 an humble dormitory ups that we use with in hot develop, but mostly our tim and this, we used them to speed up collection of real time points of interest. and we also have our map laurie, which we used to collect strict level imagery, 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 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 image looks at the place that it has been flooded. for example,

he identifies garrath where we could have people in distress. we could my social media, we did some, some sentiment analysis, she learning technology to see if we can locate a better st. john's way with vision technology. the like i like people are roof for ask your gracious and the school, for example, guide people on the ground that will then be able to save life is for it's an 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 save digital warnings before natural disasters strike 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, social inequality across africa. now get this. we had to lagos nigeria, and ask equals why there is collect a big god between the rich and the full equal to big nancy that you're already, if i'd be looking at the constable spend. yeah, well, it didn't last time. i need to know what african government can do. the 77 percent next on d w. what is making the headlines and what's behind them? dw news africa. the show that the issues shaping the continent. life is slowly getting back to normal. you on the streets to give you enough reports on the inside . our correspondence is on the ground reporting from across the continent. the

trends doesn't matter to you. in 60 minutes on dw, ah, what people have to say matters to us. good. mm. that's why we listen to their stories reporter every weekend on d. w. hi there, rogue love you up. and if this is your 1st time, welcome to the 77 percent. sure. here on this program we tackle important issues affecting the lives of office youth. my name is michael ot and i am glad to have you here with in today's program.