{"_id":"57fd7ca6f24b4f0e009d9bac","version":{"_id":"5661fdca55e4450d00e62c73","project":"5511df3be2990b0d00fb071d","__v":2,"createdAt":"2015-12-04T20:55:38.639Z","releaseDate":"2015-12-04T20:55:38.639Z","categories":["5661fdcb55e4450d00e62c74","5661fdcb55e4450d00e62c75","5661fdcb55e4450d00e62c76","5661fdcb55e4450d00e62c77","5661fdcb55e4450d00e62c78","5661fdcb55e4450d00e62c79","567c42b13241c20d00b7312e"],"is_deprecated":false,"is_hidden":false,"is_beta":true,"is_stable":true,"codename":"","version_clean":"2.0.0","version":"2.0"},"__v":1,"user":"5535326bf07d6b0d0077be75","project":"5511df3be2990b0d00fb071d","githubsync":"","category":{"_id":"5661fdcb55e4450d00e62c74","__v":1,"pages":["5661fdcb55e4450d00e62c7a","5661fdcb55e4450d00e62c7b","5661fdcb55e4450d00e62c7c","5661fdcb55e4450d00e62c7d","5661fdcb55e4450d00e62c7e","5661fdcb55e4450d00e62c7f"],"project":"5511df3be2990b0d00fb071d","version":"5661fdca55e4450d00e62c73","sync":{"url":"","isSync":false},"reference":false,"createdAt":"2015-03-24T22:03:40.337Z","from_sync":false,"order":0,"slug":"getting-started","title":"Getting Started"},"parentDoc":null,"updates":[],"next":{"pages":[],"description":""},"createdAt":"2016-10-11T23:58:30.155Z","link_external":false,"link_url":"","sync_unique":"","hidden":false,"api":{"results":{"codes":[]},"settings":"","auth":"required","params":[],"url":""},"isReference":false,"order":16,"body":"Astro Digital platform is aimed to provide all the available data for any point on the Earth landmass. That's why we working hard analyze, optimize and store areas of interest. Currently we're working with [GeoJSON format](http://geojson.org/) of recording areas of interest. \n\nAstro Digital platform supports the following geometries:\n1. Polygon - [example](https://gist.github.com/akudrya/746224285343f2a46e9eb99fd8abacd0) \n2. Feature Collection of Features or Polygons  - [example](https://gist.github.com/akudrya/c7a0ffc3d0625eba7f5f6f05a8602486)\n3. Multipolygons for imagery products only - [example](https://gist.github.com/akudrya/edf245959c78d1145bdf07d028243987)\n \nTo manipulate with GeoJson object there's a lot of great tools. Our favorite are:\n\n1. [QGIS](http://www.qgis.org/ru/site/) - a robust desktop software system allowing to create, convert areas of interest. Also it allows to perform smart operations like simplification and framing as well as performing statistical and mathematical operations.\n2. [GeoJson.io](http://geojson.io/#map=2/20.0/0.0) - super-responsive online tool provides an easy way to create and debug GeoJson objects.\n\nAlso please keep in mind that we're searching for images overlapping the entire area of interest so the best practice is to keep close objects in one GeoJson container and distant objects in separate GeoJson containers. The best search results are achieved when the distance between objects in a GeoJson container are less than 10km.\n\nFor successful processing the shapefiles should meet the following criteria:\n\n* There're no self-intersections or overlapping features\n* There're no features over 50km distant\n* All vertices are in 2d format - without elevation. Example [ -122.29876849, 40.15238459]\n* For [Vegetation Trends API](doc:vegetation-trends-api) each feature should be between 30 and 3000 ha.\n\nIn case something is wrong with the geometry - please send it to us and Astro Digital support team will take care of it. Just submit the file [here](https://www.dropbox.com/request/cvkm8ijaq56f0Mby70BR)","excerpt":"","slug":"areas-of-interest-best-practices","type":"basic","title":"Areas of Interest"}
Astro Digital platform is aimed to provide all the available data for any point on the Earth landmass. That's why we working hard analyze, optimize and store areas of interest. Currently we're working with [GeoJSON format](http://geojson.org/) of recording areas of interest. Astro Digital platform supports the following geometries: 1. Polygon - [example](https://gist.github.com/akudrya/746224285343f2a46e9eb99fd8abacd0) 2. Feature Collection of Features or Polygons - [example](https://gist.github.com/akudrya/c7a0ffc3d0625eba7f5f6f05a8602486) 3. Multipolygons for imagery products only - [example](https://gist.github.com/akudrya/edf245959c78d1145bdf07d028243987) To manipulate with GeoJson object there's a lot of great tools. Our favorite are: 1. [QGIS](http://www.qgis.org/ru/site/) - a robust desktop software system allowing to create, convert areas of interest. Also it allows to perform smart operations like simplification and framing as well as performing statistical and mathematical operations. 2. [GeoJson.io](http://geojson.io/#map=2/20.0/0.0) - super-responsive online tool provides an easy way to create and debug GeoJson objects. Also please keep in mind that we're searching for images overlapping the entire area of interest so the best practice is to keep close objects in one GeoJson container and distant objects in separate GeoJson containers. The best search results are achieved when the distance between objects in a GeoJson container are less than 10km. For successful processing the shapefiles should meet the following criteria: * There're no self-intersections or overlapping features * There're no features over 50km distant * All vertices are in 2d format - without elevation. Example [ -122.29876849, 40.15238459] * For [Vegetation Trends API](doc:vegetation-trends-api) each feature should be between 30 and 3000 ha. In case something is wrong with the geometry - please send it to us and Astro Digital support team will take care of it. Just submit the file [here](https://www.dropbox.com/request/cvkm8ijaq56f0Mby70BR)