How to know what particular imagery do you get from VANE Geospatial Platform

How to know what particular imagery do you get from VANE Geospatial Platform

One of the ideas of VANE platform - no need of search by scenes or footprints. 

It is based on a simple assumption: each location in the world has metadata - click on any location and get information about all pixels containing this location. Such projects as cloudless atlases and Google base satellite maps are created according to this basic principle, stitching best imagery pixels in one seamless mosaic. According to scenes metadata VANE can preliminary compile the best satellite cover - users need to set up a parameter order=best for this operation. Even more, VANE language allows you to set up further requirements for your mosaic, providing appropriate parameters in your query - meaning: no older than (day>{yyyy-mm-dd})… or put all last imagery on the top (order=last)... or within the specific time interval (between({yyyy-mm-dd}:{yyyy-mm-dd}))…
Then you can go further, applying your custom colors to the resulting mosaic, according to VANE language specification.

Just to demonstrate this principle in work we’ve launched a very basic application called Finder.

>> How it works

How to customize and build weather layers into your map application

How to customize and build weather layers into your map application

Hello, weather developers,

We’ve updated our application for demonstration of current weather map layers. Now you can switch between basemaps (map or daily satellite) and display weather overlays on the top of it.

Please provide us with your feedback and case studies on using weather maps and the VANE geospatial platform.

How to make online products on satellite images: Setup your color scheme of NDVI

How to make online products on satellite images: Setup your color scheme of NDVI

You can set up your color scheme by playing with a parameter color=0.03:fcfefcff; 

This parameter consists of pairs of numbers like 0.03:fcfefcff separated by semicolons where:

0.03 - NDVI value from 0 to 1

fcfefcff - HTML colors

Query template

http://sat.owm.io/sql?from=s2&select=b8,b4&where=day=2016-07-10&op=ndvi&polygon={"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-102.73,34.43],[-102.73,34.49],[-102.57,34.49],[-102.57,34.43],[-102.73,34.43]]]}}&color=0:d93f2aff;0.05:df452cff;0.1:e66c2eff;0.15:e4622dff;0.2:f2b331ff; 0.25:f7d932ff;0.3:eff630ff;0.35:b0f321ff;0.4:80f116ff;0.45:76f013ff; 0.5:74ed17ff;0.55:6cde28ff;0.6:50ab56ff;0.65:317b83ff;0.7:0648b3ff; 0.75:1f46f0ff;0.8:2d45e9ff;0.85:533dcaff;0.9:783bb1ff;1:a342aeff;&appid=9de243494c0b295cca9337e1e96b00e2&APPID={APIKEY}


>> Learn more about our tools for Agriculture applications - http://owm.io/agri

How to make online products on satellite images: Compute NDVI for any date

How to make online products on satellite images: Compute NDVI for any date

We choose one day, October 1, 2016, as an example and calculate NDVI for our polygon.

Query template

http://sat.owm.io/sql?select=b5,b4&where=day=2016-10-01&op=ndvi&polygon={"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[-121.32,37.65],[-121.32,37.72],[-121.11,37.72],[-121.11,37.65],[-121.32,37.65]]]}}&APPID={APIKEY}