waste that they had not seen before, or at mutton got dw religious affairs correspond, then thank you so much that you're welcome. and finally, india has completed. it's the biggest ever demolition operation blasts brought down twin 100 meter high apartment towers near the capital daily in seconds. the supreme court order to the demolition because the high rise is breached safety regulations . the area was evacuated before the explosions. that's all from us for now. up next, our tech show shifted to looking at how artificial intelligence can help to prevent destructive forest wise and route from the. the team, thanks for watching these places in europe are smashing the wreckers stepped into a bold adventure. it's the treasure map for modern globetrotters. discover some of you rooted record breaking sites on google maps you too. and now also in book

form a vibrant habitat ah ended glistening place of longing, the mediterranean sea. he had almost far and to follow dockery drift along with exploring modern lifestyles and the mediterranean meeting. people hearing their dreams ready to eat journey this week on d. w. we are thing 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,

shoot. 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, days of forest, both here in berlin and across europe. never before has 4. i 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 a raging inferno. the fly 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 all to official intelligent software and eliza satellite images and senses 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 automated detection is really old, while fires are hard to control. flames can change direction depending on the wind or they can spread a different volume 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 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 mentored reality to display useful information. let's take a look. innovative helmets also help firefighters on the ground. these helmets feature, augmented reality, knology 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 fire fighters 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 its 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 small 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, mrs. i so that if, even if you replace life by like it's, it's a big advantage in technology not to expose you missed those dangerous. i think the fire with that. but the best way to fight for us 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 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, all have a lot of dr. agitation, the clarity's condemn plan accordingly. for example, the moving dead trees that could become fuel. so while the effects of the climate crisis such severe heaton 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. they nancy fighting a fire, so technology is 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 it's almost impossible without artificial intelligence. meteorologist 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 a mountain of data. so it, we have hit the point where it's just not possible to do it by hand anymore. 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. when people think of a satellite image to think about the 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 traditional satellites do not see any, for example. so people tend to use radar data for that. there is a lot of these different sufflin orbiting above our heads and dis, then the double machine learning specialists like 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 web. 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 not tobar 2013 cyclone feeling 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 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 seriously. in 2021. a 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 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 this 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 to happen. we would like to her sister sponder. statistical 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 quit and 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 mcclary, 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 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 has been has been flooded. for example, he identifies garrath where we could have people in distress. we come 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 on roof for ask your gracious and this book, for example guides, 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 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 vibrant habitat ended, glistening place of longing. the mediterranean sea, it's waters connect people of many cultures. jennifer abdul karim explores the land of the farrell's in egypt. contrast, shape society next on d. w. homeless in the stumble, the numbers have risen in the metropolis of millions, but little comes from the states, volunteers do their best to actively support the people finished. if i don't do it,

he will. i used to not have a home either. in the government the government want to june. in 45 minutes on d, w. d w's crime fighters are back with africa. most successful radio drama series continues them all episodes are available online. and of course you can share and this goes on d, w, africa's facebook page and other social media platforms, crime fighters, tune in now. ah, ah, the mediterranean was once a major crossroads at the heart of the ancient world. today it has become a barrier separating europe from africa. is there anything.