Vegetation Satellite Imagery

The most common measurement is called the normalized difference vegetation index ndvi.

Vegetation satellite imagery.

Measuring vegetation from satellite imagery with ndvi. Very low values of ndvi 0 1 and below correspond to barren areas of rock sand or snow. The national aeronautics and space administration nasa operates satellites capable of photographing the entire surface of the earth every one or two days. A year ago i wrote an article on a similar concept called satellite imagery analysis with python where we examined the vegetation cover of a region with the help of satellite data.

Normalized difference vegetation index ndvi images produced from nasa s land atmosphere near real time capability for eos lance data are used to monitor vegetation and crop condition. There are several global regional scale systems in place that report on drought food shortages and forecasting crop yields including the usgs famine early warning systems network fews net and group on earth observations geo global agricultural monitoring geoglam crop monitor. The data collected with both technologies is commonly used for the classification and mapping of vegetation being cheaper and less time consuming than manual field surveys. Satellite maps of vegetation show the density of plant growth over the entire globe.

Aeroview software processes both satellite and multispectral imagery to provide precise per tree health analytics and highlight problem areas that could otherwise go. The idea was to understand the concept of satellite imagery data and how it could be analyzed to investigate real world environmental and humanitarian challenges.