flies 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 hector, as 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 fought 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 of the terminology for automated detection is really wild fires are hard to control. flames can change direction depending on the wind or they can spread a different si, fi map predict how a fire will spread for the next hour. it's built on deep learning and consider the weather dryness to vegetate historical fire furnaces and satellites all ground

sensor 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 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 said 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 smallest planes, especially because they can get quite close to the targets without risking and he lives. 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 you technology not to expose you missed those dangerous. i think the 5 with the best way to fight forest wires is to be and 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 forecasts these forecasts 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 a severe heat and drought 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 not having it then actually 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 date and it is like amounting of data. so it, we have hit the point where it's just not possible to do it by hand. 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 of a satellite human to think about colors. one thing, because, you know, we, we all use google maps every day to, to plan their trips. but it was, i didn't my are 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 satellite or between about her head and then that job will machine learning specialists like me try to make sense of all of them together because everyone completes their 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 would 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 cycling fail and made land full in india. and although the 6th stream, the strong storm reached wind speeds of over 200 kilometers an hour and cost extensive flooding. just 22 people died. but a similar size,

sloane in 1999 till 10000. so what change ah 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 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 of 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 are 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. martine 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 habits. we would like to just respond us tip to seek permission is strictly as possible to age the our response so that we save people's life. ah, 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 humble storming ups that we use with in hot develop, but mostly our tech, tim and this, we used them to speed up collection of real time points of interest. and we also have on my blurry which we used to collect stood level imagery. did you real 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 it in as being flooded. for example, it identifies garrath where we could have people in distress. we can my social media, we do some, some sentiment analysis, she learning technology to see if we can locate a better st. john's way with vision technologies and like i like people are roof for ask your gracious and this for example, guide people on the ground that will then be able to save life is for 8th, 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, a ah. okay. i that it's a journey across the entire continent with a variety of cod. so what on this? so the focus, the move is shake is visionaries and make it when binding the meaning of modern africa. that is, that's an egg and d, w. departure into the one today. this means

flying to a foreign planet in the 16th century. it meant being a captain and setting sale to discover a route the world famous c. voyage of ferdinand of magellan. i'd rather erase linked to military interests, erase links to political and military christy, but also linked to many financial interests and adventure full of hardships, dangers and death 3 years and that would change the world forever. my jillions journey around the world starting september 7th on d w i .