VANE Platform news

NDVI & NDWI - differences and applications

NDVI & NDWI - differences and applications

The world around us is changing constantly. Technologies develop, progress takes its place. However, one thing stays permanent: humans still depend on environment. And partially well-being of people is related to plants. Plants allow people to breathe, plants give us food, shelter, medicaments and many other crucial things. Yet, uncontrolled agriculture, transition to monoculture farming within entire countries, climate change – all these factors have negative effect on vegetation layer. Moreover, human population grows exponentially, and the issue of food supply arises more sharply.
That’s why nowadays there is a steady tendency to preserve what we possess at the moment. And here satellite monitoring over vegetation condition comes to help. Also satellite monitoring facilitates work of farmers and lets decrease costs and losses in case of negative weather phenomena such as floods and drought. Whenever it is an emergency situation or farming planning there is a great helping tool that is satellite imagery which provides a vegetation index (NDVI) and a water index (NDWI).   

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

The one of the ideas of VANE platform - no need of search by scenes and 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}))…
Than you can go further, applying your custom colors to the result mosaic, according to VANE language specification.

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

Satellite imagery: Kīlauea volcano eruption, Hawaiian Islands

Satellite imagery: Kīlauea volcano eruption, Hawaiian Islands

December 31, 2016 Kīlauea volcano erupted.
Kīlauea is a currently active shield volcano in the Hawaiian Islands, and the most active of the five volcanoes that together form the island of Hawaiʻi.
In Hawaiian mythology Kīlauea is the body of the deity Pele, goddess of fire, lightning, wind, and volcanoes. While the conflict between Pele and the rain god Kamapuaʻa was centered; Halemaʻumaʻu, "House of the ʻamaʻumaʻu fern", derives its name from the struggle between the two gods.

How to make online products on satellite images: False RGB

How to make online products on satellite images: False RGB

For RGB processing with false colors you need to choose another bands of b7,b4 and b3 by select=b7,b4,b3 and type of the processing as&op=rgb

VANE change detection that works online

VANE change detection that works online

Investigate changes before and after events like fire, drought, flood and other natural disasters as well as human activity like construction rate in some region or crop cultivation. Code your own algorithms to estimate intensity or spreading of changes.

How to make online products on satellite images: Get RGB image

How to make online products on satellite images: Get RGB image

For October 1, 2016, we get RGB with correction of the brightness by &color=brightness>5000,brightness< 13000 .

For RGB processing you need to choose three bands of b4,b3 and b2 byselect=b4,b3,b2 and type of the processing as&op=rgb

Query template

http://sat.owm.io/sql?select=b4,b3,b2&where=day=2016-10-01&op=rgb&color=brightness>5000,brightness<13000&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

Queries for satellite images with VANE SQL v 0.2: Time

Queries for satellite images with VANE SQL v 0.2: Time

Choose images on the specific date, for the particular period, pick up the best images for the last month or week, and many other options.

Happy New Year!

Happy New Year!

OpenWeatherMap team wishes you a happy New Year! Thank you for being with us this year, we hope to see you in 2017.

VANE fire detection that works online

VANE fire detection that works online

Setup your formulas and color schemes of change detection to make it applicable for  fire.

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 setup your color scheme absolutely flexibely 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