Transcript
gMuVP9JI2ps • OSINT At Home #7 – How to create a satellite image time lapse
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Kind: captions Language: en hi everyone and welcome back to this series on how to do open source investigations from home i'm ben and this is part seven so let's get started [Music] in this episode we're going to look at how to create a time lapse with satellite imagery and a time lapse is essentially a multiple amount of satellite images over a specific string of time whether that be over weeks or months or even years to identify changes on the earth and this might be environmental changes or it might be micro changes like in a building or when a building has been destroyed or when fires have been through an area or even urban expansion or ships as we'll see i've got a couple of examples on the screen at the moment such as this solar power plant which is one of the biggest in the world and we can see how those panels have changed every single day and another example from the port of singapore where we can see the vessels moving backwards and forwards every single day and we might even be able to identify times when there is less trade for example in the port we can do all of this by a few simple and easy to use resources that are completely free in the description box below you'll find links to all of these places just in case you want to follow them up and replicate these steps as we go through them with the same sort of case studies but this is a solar power plant in morocco it's one of the biggest in the world it's actually three different sections so we've got this section of solar panels down here this one and then we have this one as well which is quite fascinating because if we go to google earth up here which is the way that we can scroll back in time we can see here that the layout of the solar panels is different to how they were here and if we keep going back we can see how those may have changed now you'll notice that when i go back through the google earth imagery that's available here sometimes it jumps a couple of weeks or a couple of months or even a couple of years and if we go back to 2016 we can see that there were no solar panels whatsoever and if we click from 2018 we go ahead a couple of months we go ahead almost a year and so you get the sort of idea of what we're looking at with google earth imagery but as we went through in one of the previous videos we can do this with much more imagery available at our fingertips so what i'm going to do is use sentinel hub to do that and sentinel hub is one of the things that we went through in one of the past videos where we use that to identify a window of time of one of the images that we geolocated and videos that we geolocated just using that freely available satellite imagery so what i'm going to do just in advance is i'm going to open this image up in google maps and i'm just going to pluck my coordinates out of there just by doing a hard press on the location and we'll see my coordinates pop up down here and these are the coordinates that we want to get our hands on so i'll copy those and what i'll do is i'll open up sentinel hub eo browser you'll find a link in the description below to sentinel hub eo browser and you will notice that it's a little bit different to the sentinel hub playground that we used last time center ohio playground is very easy to use it's very user friendly whereas sentinel hub eo browser is much more advanced and has a lot more different features available to it one of those features is creating a time lapse to create a time lapse you do have to have an account with sentinel hub but that's completely free and you can sign up right here just on the sign up form and i'll provide a link to that as well once you open up the sentinel hub eo browser and you log in you'll notice that you're faced with something that looks a little bit like google maps and there's no satellite image review so what we're going to do to fix that first of all we'll go to that location that we pasted in or that we copied in from google maps before now we can't really see the satellite imagery of that because we have to do a search through sentinel's database over here of landsat imagery or the sentinel 2 satellite system or modus or gibbs system as well so we'll just use the standard sentinel 2 satellite system which is also what we're looking at in sentinel held playground and we can either select the panels over here so these are satellite runs that we can view or you can just click visualize on the left tab over there now we're a little bit zoomed out at the moment so we won't be able to see our solar our solar power plant too easily right now so what i'm going to do is zoom in and then i'll re-click on my coordinates and it'll it'll center my my view over those coordinates so we can see the solar panels now but it's a little bit of a cloudy day and when we make our time lapse we want to make sure that we have as least clouds as possible because otherwise we're not really going to see much so this is a cloud-free day uh over the solar power plant and it looks quite good so i'll go ahead and start making my time-lapse the time-lapse is really easy to make so all we have to do to create that time lapse is click on this icon over here on the right which says create time lapse animation now we can use this to use this window to center over the area that we want to feature in the middle of the time lapse and i'll just click on that so you'll notice that it's brought up a whole new interface which allows us to really filter down the archive of satellite images and that's what we're doing here we're trying to pick out the images that we want to put together in a in a gif or to create our time lapse and all of this is basically filtering down the archive so we can have one image per orbit or day or week or month or year you'll notice sometimes that you can't have too many images in one time lapse so you might have to do one image per week rather rather than one image per day for the date range of this i'm just going to uh because we saw before that it's it was constructed in about 2016 2017 so i am going to take mine back to about 2018 here and i'll just select january and what we have down here this little slider icon is a way to restrict the cloudy days that we don't want so remember how we're looking at a whole archive of satellite images here what the sentinel hub platform has gone ahead and done is to categorize all of the clouds in that so that we can drag this down and start cutting out the percentage rate or percentage value of images that have a certain amount of clouds in them i like to usually drop this down to about 10 and then click on my search and run the search for satellite images so i'll do that now this always does take a little bit of time as you can imagine it's searching a lot of images and we've come up with that same issue of the maximum number of images is so what i can actually do as well is just try and do this per week and you'll notice that on the left side here it's starting to bring up my images and already you can see how different they look with the solar panels in there facing their different directions towards the sun or in a different easterly or northern direction depending on which way they're trying to trace that sunlight it does take some time to load all of these images because as you can imagine this is a very large database of satellite imagery taken on every square meter of the world so going through this is a huge catalog but it does load eventually so here we are we have our time lapse and what we have down here is a way to alter the speed by frames so if you can imagine this like a gif that might be made of 10 or 20 images we want to speed this up so if i click on play at one frame per second you'll see how slow that is sometimes this is useful if we're just looking at a before and after of perhaps a bombing or a fire that might have happened over a week and we're only looking at two different images it's a great way to do a comparison and contrast so in one of the previous episodes we looked at a village that was burnt in myanmar and we had a look at a simple before and after to see that change for this one the effect we're going for happens over a much longer period of time so i'm going to bring this up to a 10 speed so 10 frames per second and click play on that and already we can see how the solar panels move over time we can see some of the directions that they might have or we can see that some are displayed and some are not and this is a great case study to show people how time lapses actually work so if i wanted to include this in a digital report or anything like that i would click download and it would simply download a gif for me to use online or on a website or on any social media platform as well which is another quite useful feature of this so another example uh of creating a time lapse uh for a different cause is to use for example the islands that are popping up in the south china sea uh so this one is called mischief reef which has been quite heavily developed over time so if we zoom in a little bit closer here on google earth like over the airstrip for example and we go back to what this island looked like in 2005 or 2012 even scroll through a little bit more you can see that in 2013 there was no real development there was no vessels around go forward in 2015. 2016 there are a couple of vessels around here and there's a there's something going on like a like a sand pumping uh projects down here go forward a bit more oh there's uh definitely something popping up there and also definitely up here as well so we can see the difference between this one in 2015 in this one 2016 and then we can see that just develops so much more and grow so much more over time so we can also visualize that just using sentinel hub so again i'll grab that those coordinates just through google maps and we can open this up in the eo browser which i've done here and again just going through the processes so what i'm doing is i'm creating a search for the available imagery in the area i'm just clicking on this run to view it so visualize this one you can see that's what we've got so we knew that the real production started in between sort of 2015 and 2016. now our sentinel 2 if we create a time lapse of this sort of area i don't think we'll be able to go back that far so only 2016. possibly not january so we also have another a range of other satellite imagery as well that we could try we do have landsat imagery so we can try the landsat imagery um that should go back a lot further so we could try it for this one and yeah so we've got 2013 we can do landsat imagery for i might just go back to march since that's the earliest one it's probably going to have to make me do on a weekly basis also the the area around here we noticed just before by looking around is quite cloudy at certain times the year so i might just drop this right back to 10 and that should be fine for the the week count i'll speed this bit up uh so that we get this imagery loaded as quickly as possible okay great so we've loaded our available imagery it seems to jump forward quite a few days just because of the cloud coverage you'll notice that even though i've set my cloud coverage rate down to 10 there are some cloudy days but the 10 will cover the whole run probably not just this image uh so those independent runs or satellite runs will be kind of like that so i'll do the same thing as what i did last time i'll set this to a 10 frames per second speed and we can see the growth of these islands uh as they were built up and this is uh this island is not the only one in the south china sea to be built up like this with a a large airstrip and air force hangers and a number of sustainable facilities so it's it's good to check these things out but this is a great sort of visualization just to show one of the many islands that have been built up over time in the south china sea and again just like we did last time we could download this and and use this as a gif in any reporting or anything like that this also goes to show that we don't just have to rely on the traditional standard recommended satellite imagery but for this one we use landsat 8 it's always good to go through and make yourself aware of the type of imagery that's available in sentinel hub eo browser it also provides a breakdown of what each image or each each provider has with its spatial resolution but also its revisit time so the revisit time of sentinel 2 is maximum 5 days to revisit the same area so it's a great one to create those time lapses with as well as as well as landsat as well which is what we just used there so the next one i'm going to do uh is a fun one in the port of singapore for those of you that are aware of the port of singapore you'll notice that there are a lot of vessels all of the time it's a very busy area for vessels specifically cargo and trades in this region so i thought it might be a nice idea to use this as a case study or an example of creating a a image time lapse so we'll go ahead and do that now so what i'll do same process view in google maps and i think this area has quite a few vessels in it all of the time so copy those coordinates across into sentinel hub eo browser so we've got our port here the same view that we always have with google maps and we always start with in central hub eo browser for this one i'm going to choose the sentinel 1 system i thought this would be quite interesting to look at uh to identify the vessels in the port so i'll just visualize this one and you'll see how different uh this really looks um so it's loading that run over there so i might just do a research on that and just make sure we get this run so you can see already uh how different that is in comparison to what it looks like if we use uh and i'll load the same location in central heart playground if we use just the the normal sentinel 2 system we can see how clearly we can see those vessels in the harbour there i'm just going to leave this on the the normal banding that it comes with but we can also have a look at for instance different ways of viewing the sentinel one imagery as well you can see that there's some quite interesting uh ways there or also the enhanced visualization um which makes it quite interesting so i might even just leave it with the enhanced visualization or the the urban uh sar visualization as well and create a time lapse out of this so same process as before we just click this play button and that seems like it has them all quite well there i might just do from onwards we can already see when that loads uh how good that looks just with the vessels so i'll speed that up as well and let's check that one out yeah so that looks great you can always just some of the findings you can make out of this for example you can see that there is a constant number of vessels always in this pocket here um you know the traffic route is mainly going through there we can see that there's a lot of sort of constant number of vessels but these are always on the move whereas these ones seem to be a more so remaining the same if we go into further analysis of these we could always have a look at the difference for example between vessels during earlier parts of 2018 and 2019 in comparison to when coronavirus was at its peak and see if there's a difference in trade or things like that this is a great way to map out also shipping routes and maybe if there's any congestion lanes so you can see that this sort of time lapse isn't just great for open source investigations on a human rights or journalism level but also on trade or business intelligence and and corporate research as well and again we can download that to have it in a gif and and run that through to either social media but this was a much more of a niche episode uh for you on how to create a time lapse i really appreciate the the feedback on all of these episodes and specifically the liking and sharing of the content uh it really keeps me motivated in creating things like this and if you do find this useful please do share it around with other colleagues or friends or other professionals that you might have that are looking for content like this and i look forward to seeing you in the next sessions [Music] you