if you have the chance, please go and see the glaciers. now, if you wait too long, they'll be gone. the elves are changing dramatically in the summer, the mountains are brown and less hospitable. for both animals and people. that's all from us for now. up next, our tech show shift living in the digital age, looking at the advances being used to contend with, floods, force fires and drought. stay tuned for that and don't forget, you can always stay up to date on our website, d, w dot com and you can follow our updates on social media platforms from instagram to youtube. our handle is at the w news a michael. okay. thanks for watching with stories that those people, the world over information. they provide opinions. they want to express d. w on facebook and twitter up to date and in touch. follow us.

i thought is a journey across the entire continent. it's a variety of cod. so would on this, so what we think is the movers shake is visionaries and make it when body the meaning of modern africa. this is an egg and d, w. blue we are saying 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.

whether it's mudslides in brazil, off to heavy rain. destructive tornadoes in the u. s. or extreme heat waves in india, climate change impacts all of us fires are destroying any. hector has a forest both here in berlin and across europe. never before has 4 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 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, the terminology for automated detection is really wild wires are hard 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 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 team needs the help of drones and extinguishing robots these days. and there are even helmets that use old men sad 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 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, um 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. yes. a computer system that analyze is geographically reference data like maps, street buildings and vegetation. 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 a severe heat and drought a 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 then actually 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 well

isn't going to go anywhere. and not just talking about extreme hates 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, 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 we have heat 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 a 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 of a satellite human to think about color. because, you know, we all use google maps every day to, to plan their trips. but it was subtle. i did 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 read our data for that. there is a lot of these different satellite orbiting above our heads and then the java machine learning specialist. let me try to make sense of 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 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 land full 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 in 1999 killed 10000. so what change the indian weather service now provides detailed warnings by text, message e mails,

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 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 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 those big weather forecast models that can 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 will your opinions 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 employ open source programs and artificial intelligence. most of the times when it decides to happen, we would like to have sister spawned us, typically for mission is strictly as possible to aid 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, stormy pick ups that we use within 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 vom missouri, 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 has been flooded. for example, he identifies garrath where we could have people in distress. we can 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 me that examples of what could be assisted in denison 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,

a, a social inequality across africa. now get this. we had to legal nigeria and ask people why there is a big between the rich and the pick up the big nancy niger. oh yeah, i'd be good. yeah. the comfortable spend? yeah. well it didn't last time. i need to know what african government can do the 77 percent next on d w a. ready for electric car battery, out of service in the truck, but still plenty of power ritual to non india's road. second

life faster, already bringing new life to the place. a home in 60 minutes on d. w. a thought they were great a hi there, rob love you are. and if this is your 1st time, welcome to the 77 percent show. here on this program, we talk on important issues affecting the lives of africa youth. my name is michael duty and i am glad to have you here.