1 00:00:00,050 --> 00:00:06,170 Next, I would like to show you a very powerful map that could help you to geo locate pictures easily. 2 00:00:06,620 --> 00:00:13,400 And this is a customized map that were made by Bellingcat, and OpenStreetMap is a free open source 3 00:00:13,400 --> 00:00:15,860 map that could be used by anyone. 4 00:00:16,940 --> 00:00:23,300 And the coolest thing about this map is that you can customize all, tell the map the features that 5 00:00:23,300 --> 00:00:27,890 you would like to find in a specific area, which I will show you in a moment. 6 00:00:27,920 --> 00:00:33,380 So the first thing you want to do is to go to the link that you will find in the resources of this lecture, 7 00:00:33,380 --> 00:00:36,410 which is the Bellingcat OpenStreetMap search. 8 00:00:36,410 --> 00:00:39,920 And then you want to sign in with your Google account. 9 00:00:40,370 --> 00:00:43,910 And after you sign in, you will be redirected to this page. 10 00:00:44,000 --> 00:00:50,270 And right here you can select what features you would like to find in a specific area. 11 00:00:50,300 --> 00:00:57,800 For example, we can say that we are looking for a public transport stop, as well as a church and a 12 00:00:57,800 --> 00:00:59,780 hospital in the same area. 13 00:00:59,810 --> 00:01:04,130 So to show you an example, let me scroll down a little bit. 14 00:01:05,450 --> 00:01:08,360 Here we have the maximum distance between features. 15 00:01:08,360 --> 00:01:17,300 So if we have specified, for example, that there is a public transport stop in the picture and near 16 00:01:17,300 --> 00:01:22,640 this public transport stop, there is, for example, a church, then we can drag this and drop it in 17 00:01:22,640 --> 00:01:23,360 here. 18 00:01:23,810 --> 00:01:29,720 And then the maximum distance between these two features has to be 100. 19 00:01:29,750 --> 00:01:35,630 Now of course we can make it 500m, but I think that 100 is enough. 20 00:01:35,660 --> 00:01:41,150 Another important thing that you want to do is to specify where you want to search. 21 00:01:41,150 --> 00:01:45,590 For example, in this case I would like to search for coal in Germany. 22 00:01:46,220 --> 00:01:50,510 So this is colon which is a wonderful city in Germany. 23 00:01:50,900 --> 00:01:52,700 And then I'm going to scroll down. 24 00:01:52,700 --> 00:01:55,460 I can specify what view I would like to see. 25 00:01:55,490 --> 00:02:02,270 For example, I can click on Google to see a Google View or Terrain or satellite. 26 00:02:02,540 --> 00:02:04,850 Now in my case I like to use OSM. 27 00:02:04,850 --> 00:02:08,570 And now I'm going to scroll up and remove all of these features. 28 00:02:08,570 --> 00:02:11,870 And now we are going to do a practical example. 29 00:02:12,260 --> 00:02:17,490 Our goal is going to be to Identify where this photo has been taken. 30 00:02:17,490 --> 00:02:22,020 So this is a screenshot that I have taken from Google Maps. 31 00:02:22,020 --> 00:02:29,160 And what we are going to do is to identify all the features that we can find on this picture, and then 32 00:02:29,160 --> 00:02:30,990 add these features to the billing card. 33 00:02:31,020 --> 00:02:31,860 Awesome. 34 00:02:32,490 --> 00:02:36,660 So the first thing we can identify is the type of buildings. 35 00:02:36,750 --> 00:02:40,200 Each country has a different type of buildings. 36 00:02:40,200 --> 00:02:45,270 So the buildings that you are going to find in Germany are different than the buildings that you are 37 00:02:45,270 --> 00:02:47,580 going to find in France or Greece. 38 00:02:47,580 --> 00:02:54,960 So knowing how the buildings look like in a certain country will help a lot to identify the country. 39 00:02:55,110 --> 00:02:59,460 The second thing we can notice is the railway. 40 00:02:59,460 --> 00:03:06,000 So here we can see a tram and it seems to be like a stop station, because if we zoomed in, we can 41 00:03:06,000 --> 00:03:13,080 see here that there are two chairs, and here we can see people that are waiting or buying tickets from 42 00:03:13,080 --> 00:03:13,860 this machine. 43 00:03:13,860 --> 00:03:16,980 So it's probably a train stop station. 44 00:03:17,280 --> 00:03:18,750 Now let's zoom back. 45 00:03:18,780 --> 00:03:26,580 The last thing we can identify is a house number which is 44, which we can also add to the OpenStreetMap 46 00:03:26,580 --> 00:03:30,030 to identify a house with the number 44. 47 00:03:30,060 --> 00:03:33,930 That is, against a train or metro stop station. 48 00:03:36,210 --> 00:03:37,620 Here we can see the map. 49 00:03:37,620 --> 00:03:40,890 So we have specified the area that we are searching in Köln. 50 00:03:40,890 --> 00:03:42,750 And then I'm going to scroll up. 51 00:03:42,750 --> 00:03:45,390 And from here you can specify a custom feature. 52 00:03:45,390 --> 00:03:51,630 For example, I can say that I'm searching for a building, for a highway for a house number and scroll 53 00:03:51,660 --> 00:03:53,460 down more to find more information. 54 00:03:53,490 --> 00:04:00,900 Now I always like to use this page, which I will put its link in the resources of this lecture and 55 00:04:00,900 --> 00:04:05,490 if you scroll down, you will see all the features that you can use along with a picture. 56 00:04:05,490 --> 00:04:14,340 For example, let me say house number like this and this will give me a description of this feature 57 00:04:14,340 --> 00:04:20,790 or this key along with a photo and how this looks like, which I think is amazing. 58 00:04:21,720 --> 00:04:23,430 So we are going to use this key. 59 00:04:23,460 --> 00:04:27,450 Let me come back to the map and say house number. 60 00:04:29,580 --> 00:04:33,570 And the House number that we were able to find on the picture was 44. 61 00:04:33,570 --> 00:04:41,970 So I'm going to say equal and then 44, and then I'm going to add this custom feature. 62 00:04:42,990 --> 00:04:48,810 And then I'm going to add another OSM key which is going to be railway like this. 63 00:04:48,900 --> 00:04:56,010 Because we have seen a railway in here and the railway is near the building and the value is going to 64 00:04:56,010 --> 00:04:57,330 be a tram stop. 65 00:04:58,290 --> 00:05:04,110 And then I'm going to click on add and then scroll down and then click on search. 66 00:05:05,370 --> 00:05:12,450 And as you can see here are all the buildings with the house number 44 that are beside the railways. 67 00:05:12,450 --> 00:05:14,520 So I'm going to scroll down. 68 00:05:14,520 --> 00:05:17,130 And here we can see the house number 44. 69 00:05:17,130 --> 00:05:22,620 But the railways are right here and it has to be very close to the railways. 70 00:05:23,040 --> 00:05:25,530 So I'm going to scroll down a little bit. 71 00:05:25,740 --> 00:05:32,100 And this seems to be the one that we are looking for because the house is on the right side and the 72 00:05:32,100 --> 00:05:35,490 railways are on the opposite side like here. 73 00:05:35,490 --> 00:05:37,630 So I'm going to click on this one. 74 00:05:37,720 --> 00:05:39,580 And this will open Google Maps. 75 00:05:39,580 --> 00:05:46,480 And then I'm going to scroll down and then drag this little person to the map. 76 00:05:47,800 --> 00:05:50,230 And here is the railway. 77 00:05:51,130 --> 00:05:56,020 And as you can see here is the picture that we have searched for. 78 00:05:56,020 --> 00:06:01,120 So we can see the house number and we can see the tram stop station. 79 00:06:02,350 --> 00:06:09,460 Now I highly recommend that you play with this map because it's going to help you a lot to find or geo 80 00:06:09,460 --> 00:06:11,080 locate pictures. 81 00:06:11,080 --> 00:06:17,620 In addition to that, I would like to show you an article that were made by Bellingcat on how to use 82 00:06:17,620 --> 00:06:23,380 this map, so you can scroll down and watch the videos and have a look at the examples that they have 83 00:06:23,380 --> 00:06:24,430 demonstrated. 84 00:06:25,030 --> 00:06:31,600 So this is how you can geo locate a picture just by identifying features on a certain picture. 85 00:06:31,600 --> 00:06:38,950 So you might be able to find a bus station, railway house number, building color, roof color, etc. 86 00:06:38,950 --> 00:06:43,840 and all of these information could be used to geo locate this picture.