seen from a set down of his face, sundays, fine. in the women's windows, do you go by and how bit sounds the wind, the types of wood, one game to spare by they could only draw nail nail against the other coast and it means current champions holes. but a gas bill and with the shouts, a wind for them on sunday means the tides and we'll go down to the nice thing. that's all for now. i've an exile. they just all show a ship. looks at how new technology and help the fights against climate change. thanks a lot for your time today to the one small step for a robot vacuum. one giant leap for exploiting the ocean floor. cutting edge technology is unlocking the potential of deep sea mining.

but this time, a research team will study the possible risk 1st, the motor to minimize them the we have an opportunity to to get it right before we start environmental activists or skeptical is this true nature conservation for only green washing. after all, there are billions to be made. our chiefs documentary, deep sea greed starts june 8th on d, w. the. we have thing extreme hate plus extreme rain these days. natural disasters like far as far as and funding of becoming increasingly common due to climate change. but how can the digital technology help us out? that's the topic today on ship the

weather. it's mudslides in brazil of to heavy rain. destructive tornadoes in the us or extreme heat waves in india, climate change impacts all of us fires are destroying many hector has a forest, both feet in berlin and across europe. never before has flat costs, so much damage here as in 2022 and people play an important role. well, it takes is picking one little cigarette but, and you might end up with a raging in front of the fly for it is a using digital tech to track down and put out for us as early as possible. when as far as fly a 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 just visual intelligent, software analyzes flashing light, images and sensors on the ground, checking for smooth shifts and famel, infrared data that could indicate to fire. and this one is detected. first

responders receive a notification. with machine learning, we can actually teach the computers to identify an actual flame, or we can also teach that technology to determine if it's easy, simple imagery, whether it's a stationary lame, perhaps a power station compared to a moving plane from the law class. so in that sense of the terms of warranty or to make the detection is really important. wildfire is a hall to control. claims can change direction depending on the wind, or they can spread at different speeds. by a map predict california was suppressed for the next hour. it's built on deep learning. instead as the when the dryness of vegetation, historical fire perimeters and such a light blue ground sense of data. and this other software to simulate how wild fires will spread and health officials, direct firefighters and of actuation. the once

all the data is available, it's time for the fly flight is 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 method 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, to naples 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 coming. users can control them remotely from up to 200 meters away. and with a digital control station, the 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're often used to transmit images and information on a wild fires and real time. also, they can fly and smoky conditions for at night when it's dark and can carry water. they can be controlled with a now the drones can be can be easily effective. the. ready names, especially because they can get quite close to the targets without risking any lice . many fire fights this every die actually in point of what you guys missed was a so from that perspective, even if you replace life by like it's, it's a big advantage. the technology not to expose you, most of those things just all i think the fine with that. but the best way to fight for us wise is to prevent them from breaking out in the 1st place. so it says over the world of working on systems to predict where and why something might catch a lot. and in california, they've come a long way in finding answers to those questions. california as volume of facing agency works with computer modeling to create daily wildfire risk full costs. these

full costs are usually based on geographic information systems of 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. to have a lot of dr. agitation. the authorities come then sign accordingly. for example, the moving dead trees that could become fuel. so while the effects of the climate crisis, such as the via sheets 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 also having to use my nephew finding a fire. so technology slowly, most useful in preventing fires from happening in the festivals. of course, we can't prevent every disaster because one thing is clear, extreme weather isn't going to go anywhere. and i'm not just talking about extreme

hates causing drafts 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 full costs 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's, it's like a mountain of data. so if we have hit the points where it's just not possible to do it by hand anymore, it's just not possible to do anything a time. that is the time that we need for intervention. so i think that these technology is always becoming really needed and they slowly, you know, percolating into into practice. one important task is combining the different types of data transmitted by satellite where people think of a satellite,

even if they think about the colors, mostly because, you know, we, we all use google not every day to, to buy their trades, but it's not pleasant, but much different types of data, you know, when there is a storm, it's very cloudy and traditional stuff that i do not see any, for example. so the both dental use rate or data for that. there was a lot of these different satellites, or between above or head and this, the double machine learning specialist like 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 at each square. they simulate the physical process is key to forecasting with. this with 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 not notified? or if i don't take the warning seriously, in 2021 over 220 people died in one single rain storm in central europe. that the spot 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 for the 2013 sites, the mainland mainland full in india. and although the 6th stream lease strong stores reached wind speeds of over 200 kilometers an hour, i'm close to extensive studying. just 22 people died. but a similar psych loan in 1999 till 10000. so won't change the, 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 the people follow their instruction. but the situation in europe is completely different and people are not yet taking the effects of climate change. serious in 2021. the storm in germany, belgium and the netherlands killed more than 220 people as scientists, we would and we were really shocked by, by the, the scale of the impact of the floods. we certainly shouldn't be seeing that number of depths from, from the kind of further than the flooding was devastating. even just spice extensive research on the 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 meters in europe. we're very good at large investments in the science of climate change. stock gives us those,

the big weather full cost models that can predict things, but further ahead of an event. but what we really need to do is understand the decisions that are being made in those live local communities. so that still work to be done and what your opinions could really learn a lot from all the countries local emergency teams have to prepare as best they can for his offices. and so they need really good maps that are perfectly up to date. that's with humanitarian. open straighten up team comes in. the global n g o provides mapped off for disasters to achieve this employee open source programs and artificial intelligence. most of the times when it decides to happens where you would like to have sister one does, did you see permission to speak to as possible to aid to the response so, but to be safe people's lives. 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 a number. you still making ups, but we use within hot develop but mostly of what to kim and this we use them to speed up collection of real time points of interest. and we also have um my delivery, which we used to collect street level imagery. did you have a real time to do what is happened? the map with a service helps users plus new data in open street map. the program uses machine learning to suggest in the 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 imagery looks at the place that they've been as being flooded. for example, the identified gary as we will have deepening distress within my social media with some some sentiment that knowledge is machine learning technology. to see if we can locate a better sam drawings. we wouldn't be jumped ecology to go like highlight people, the roof for rescue ration. and this quote, for example, guided people on the ground that will then be able to save lives. this is for me, it's an example of what for the assistant intelligence 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 data to storms, flies and drops. now, do you receive digital warnings before natural disasters struck in your country? let us know and write to us on youtube and d. w dot com. thanks for watching and see you next on the

board, the slide in real time on social media. safe exams and squint who are the people the key word or is the word face. how are the strategies different through is denied right to the where the new digital battle lines being drawn, the propaganda war for ukraine. next on d, w. a noon dairy products, no eggs new need. the beacon diet is trending. some people swear by it, but it is a strictly speaking diet, necessarily healthy as we off this scientist,

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