First of all, many thanks to the organizer, host, and all competitors! I really enjoyed this challenging competition. Since I love GIS data, I've found out the geographical location taken by the satellite for fun. It seems this competition is well designed, because it will not be advantageous to know the location information. hope this info makes the game much more fun.
\n\nFirst of all, many thanks to the organizer, host, and all competitors! I really enjoyed this challenging competition. Since I love GIS data, I've found out the geographical location taken by the satellite for fun. It seems this competition is well designed, because it will not be advantageous to know the location information. hope this info makes the game much more fun.
\n\nIt is very impressive, how did you do it?
\n\nBased on the rice fields and curvature of the rivers we thought that it is Vietnam or something.
", "rawMarkdown": "It is very impressive, how did you do it? \n\nBased on the rice fields and curvature of the rivers we thought that it is Vietnam or something.", "votes": null }, { "id": "168028", "postDate": "03/16/2017 03:25:26", "content": "Holy cow, man! I spent a couple of days browsing around the globe (though I thought it was somewhere in Asia, like Laos or Vietnam). Were there some clever geolocation tricks? :)
", "rawMarkdown": "Holy cow, man! I spent a couple of days browsing around the globe (though I thought it was somewhere in Asia, like Laos or Vietnam). Were there some clever geolocation tricks? :)", "votes": null }, { "id": "168050", "postDate": "03/16/2017 04:33:24", "content": "Happy to hear that you are interested in the geolocation :-) I selected candidates with religion and climate.
\n\nFirst, I tried to understand houses without roof and found this article:\nhttp://www.ohchr.org/EN/NewsEvents/Pages/MoresatelliteimagestoassistHRwork.aspx\nIt's about Eritrea and the image is similar. Then, I focused on Africa. Also, I assumed that all images are taken at same country. 6050 was definitely taken at a tropical climate. In 6140, I found a mosque and it seems that Islam is popular in this area. Vietnam also has a tropical climate, but Buddhism is probably the most popular at that country. Nigeria has both of the religious and climatic character.
", "rawMarkdown": "Happy to hear that you are interested in the geolocation :-) I selected candidates with religion and climate.\n\nFirst, I tried to understand houses without roof and found this article:\nhttp://www.ohchr.org/EN/NewsEvents/Pages/MoresatelliteimagestoassistHRwork.aspx\nIt's about Eritrea and the image is similar. Then, I focused on Africa. Also, I assumed that all images are taken at same country. 6050 was definitely taken at a tropical climate. In 6140, I found a mosque and it seems that Islam is popular in this area. Vietnam also has a tropical climate, but Buddhism is probably the most popular at that country. Nigeria has both of the religious and climatic character.", "votes": null }, { "id": "168099", "postDate": "03/16/2017 08:48:21", "content": "Amazing! \nI tried once to found out image geolocations, me too. I thought that with the date/time of image acquisition (if it is good one) in tiff metadata, and an application of satellite tracking taking WorldView3 TLE, we can get a rough location of aquisition. Probably, the problem is that date/time data is not the correct one...
", "rawMarkdown": "Amazing! \nI tried once to found out image geolocations, me too. I thought that with the date/time of image acquisition (if it is good one) in tiff metadata, and an application of satellite tracking taking WorldView3 TLE, we can get a rough location of aquisition. Probably, the problem is that date/time data is not the correct one...", "votes": null }, { "id": "168114", "postDate": "03/16/2017 09:24:30", "content": "Very impressive, man! Thanks for sharing the great insight!
", "rawMarkdown": "Very impressive, man! Thanks for sharing the great insight!", "votes": null }, { "id": "168244", "postDate": "03/16/2017 17:36:59", "content": "Awesome! Great attention to details.
", "rawMarkdown": "Awesome! Great attention to details.", "votes": null }, { "id": "549757", "postDate": "06/11/2019 02:13:45", "content": "Hi, I want use this project to achieve my master thesis. When I use my own data sets from landsat-8, how to transform the geographical location to that are in the range of x = [0,1] and y = [-1,0]?
", "rawMarkdown": "Hi, I want use this project to achieve my master thesis. When I use my own data sets from landsat-8, how to transform the geographical location to that are in the range of x = [0,1] and y = [-1,0]?", "votes": null } ], "comments": [ { "id": 168024, "author_name": "iglovikov", "author_url": "", "post_date": "03/16/2017 03:10:11", "content": "It is very impressive, how did you do it?
\n\nBased on the rice fields and curvature of the rivers we thought that it is Vietnam or something.
", "votes": null, "replies": [] }, { "id": 168028, "author_name": "ceperaang", "author_url": "", "post_date": "03/16/2017 03:25:26", "content": "Holy cow, man! I spent a couple of days browsing around the globe (though I thought it was somewhere in Asia, like Laos or Vietnam). Were there some clever geolocation tricks? :)
", "votes": null, "replies": [] }, { "id": 168050, "author_name": "confirm", "author_url": "", "post_date": "03/16/2017 04:33:24", "content": "Happy to hear that you are interested in the geolocation :-) I selected candidates with religion and climate.
\n\nFirst, I tried to understand houses without roof and found this article:\nhttp://www.ohchr.org/EN/NewsEvents/Pages/MoresatelliteimagestoassistHRwork.aspx\nIt's about Eritrea and the image is similar. Then, I focused on Africa. Also, I assumed that all images are taken at same country. 6050 was definitely taken at a tropical climate. In 6140, I found a mosque and it seems that Islam is popular in this area. Vietnam also has a tropical climate, but Buddhism is probably the most popular at that country. Nigeria has both of the religious and climatic character.
", "votes": null, "replies": [ { "id": 168244, "author_name": "ceperaang", "author_url": "", "post_date": "03/16/2017 17:36:59", "content": "Awesome! Great attention to details.
", "votes": null, "replies": [] } ] }, { "id": 168099, "author_name": "vfdev5", "author_url": "", "post_date": "03/16/2017 08:48:21", "content": "Amazing! \nI tried once to found out image geolocations, me too. I thought that with the date/time of image acquisition (if it is good one) in tiff metadata, and an application of satellite tracking taking WorldView3 TLE, we can get a rough location of aquisition. Probably, the problem is that date/time data is not the correct one...
", "votes": null, "replies": [] }, { "id": 168114, "author_name": "lihaorocky", "author_url": "", "post_date": "03/16/2017 09:24:30", "content": "Very impressive, man! Thanks for sharing the great insight!
", "votes": null, "replies": [] }, { "id": 549757, "author_name": "lingbing617", "author_url": "", "post_date": "06/11/2019 02:13:45", "content": "Hi, I want use this project to achieve my master thesis. When I use my own data sets from landsat-8, how to transform the geographical location to that are in the range of x = [0,1] and y = [-1,0]?
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "168019": "First of all, many thanks to the organizer, host, and all competitors! I really enjoyed this challenging competition. Since I love GIS data, I've found out the geographical location taken by the satellite for fun. It seems this competition is well designed, because it will not be advantageous to know the location information. hope this info makes the game much more fun.\n\n - [6120: Minjibir General Hospital (12°10'32.2\"N 8°39'32.8\"E, Kano, Nigeria)]( https://www.google.co.jp/maps/place/12%C2%B010'32.2%22N+8%C2%B039'32.8%22E/@12.1811748,8.6457812,7421m/data=!3m1!1e3!4m14!1m7!3m6!1s0x11ae80eff0fff3f1:0x85ff8700a3da54eb!2sKano,+Nigeria!3b1!8m2!3d12.0021794!4d8.5919561!3m5!1s0x11ae8e28094080a5:0x1fc3d9d907699f2!7e2!8m2!3d12.175609!4d8.6591148?hl=en)\n - [6020, 6130: Tariwa (11°36'13.9\"N 8°18'32.5\"E, Kano, Nigeria)](https://www.google.co.jp/maps/place/11%C2%B036'13.9%22N+8%C2%B018'32.5%22E/@11.6030757,8.299793,3704m/data=!3m1!1e3!4m14!1m7!3m6!1s0x11ae80eff0fff3f1:0x85ff8700a3da54eb!2sKano,+Nigeria!3b1!8m2!3d12.0021794!4d8.5919561!3m5!1s0x11adc809fe8247f1:0xdbd847292b043d1e!7e2!8m2!3d11.6038546!4d8.3090544?hl=en)\n - [6140, 6110: Kofa & Gwarmai (11°32'18.1\"N 8°15'29.6\"E, Kano, Nigeria)](https://www.google.co.jp/maps/place/11%C2%B032'18.1%22N+8%C2%B015'29.6%22E/@11.5391227,8.2507387,3706m/data=!3m1!1e3!4m14!1m7!3m6!1s0x11ae80eff0fff3f1:0x85ff8700a3da54eb!2sKano,+Nigeria!3b1!8m2!3d12.0021794!4d8.5919561!3m5!1s0x11adb9038b555109:0xa229636d172b5fa9!7e2!8m2!3d11.5383514!4d8.2582158?hl=en)\n - [6030, 6150: Jigawa (12°06'50.6\"N 8°38'48.4\"E, Kano, Nigeria)](https://www.google.co.jp/maps/place/12%C2%B006'50.6%22N+8%C2%B038'48.4%22E/@12.1152321,8.628227,7433m/data=!3m1!1e3!4m14!1m7!3m6!1s0x11ae80eff0fff3f1:0x85ff8700a3da54eb!2sKano,+Nigeria!3b1!8m2!3d12.0021794!4d8.5919561!3m5!1s0x11ae8559876c551d:0xa5674327a83ab739!7e2!8m2!3d12.1140612!4d8.6467552?hl=en)\n - [6050 (4°37'42.0\"N 6°07'23.6\"E, Bayelsa, Nigeria)](https://www.google.co.jp/maps/place/4%C2%B037'42.0%22N+6%C2%B007'23.6%22E/@4.6409832,6.0995651,7571m/data=!3m1!1e3!4m14!1m7!3m6!1s0x11ae80eff0fff3f1:0x85ff8700a3da54eb!2sKano,+Nigeria!3b1!8m2!3d12.0021794!4d8.5919561!3m5!1s0x106a3ecf83587bb3:0xc11a184a74728b09!7e2!8m2!3d4.6283294!4d6.123215?hl=en)\n - [6070 (4°37'40.1\"N 6°09'59.8\"E, Bayelsa, Nigeria)](https://www.google.co.jp/maps/place/4%C2%B037'40.1%22N+6%C2%B009'59.8%22E/@4.6200124,6.1505776,7571m/data=!3m1!1e3!4m14!1m7!3m6!1s0x11ae80eff0fff3f1:0x85ff8700a3da54eb!2sKano,+Nigeria!3b1!8m2!3d12.0021794!4d8.5919561!3m5!1s0x106a3c0e30763d25:0x47a4321c0152c514!7e2!8m2!3d4.6278001!4d6.1666185?hl=en)", "168024": "It is very impressive, how did you do it? \n\nBased on the rice fields and curvature of the rivers we thought that it is Vietnam or something.", "168028": "Holy cow, man! I spent a couple of days browsing around the globe (though I thought it was somewhere in Asia, like Laos or Vietnam). Were there some clever geolocation tricks? :)", "168050": "Happy to hear that you are interested in the geolocation :-) I selected candidates with religion and climate.\n\nFirst, I tried to understand houses without roof and found this article:\nhttp://www.ohchr.org/EN/NewsEvents/Pages/MoresatelliteimagestoassistHRwork.aspx\nIt's about Eritrea and the image is similar. Then, I focused on Africa. Also, I assumed that all images are taken at same country. 6050 was definitely taken at a tropical climate. In 6140, I found a mosque and it seems that Islam is popular in this area. Vietnam also has a tropical climate, but Buddhism is probably the most popular at that country. Nigeria has both of the religious and climatic character.", "168099": "Amazing! \nI tried once to found out image geolocations, me too. I thought that with the date/time of image acquisition (if it is good one) in tiff metadata, and an application of satellite tracking taking WorldView3 TLE, we can get a rough location of aquisition. Probably, the problem is that date/time data is not the correct one...", "168114": "Very impressive, man! Thanks for sharing the great insight!", "168244": "Awesome! Great attention to details.", "549757": "Hi, I want use this project to achieve my master thesis. When I use my own data sets from landsat-8, how to transform the geographical location to that are in the range of x = [0,1] and y = [-1,0]?" }, "source": "meta" }