Vegetation Satellite Imagery

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.

Vegetation satellite imagery.

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. 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. Satellite maps of vegetation show the density of plant growth over the entire globe.

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. These images are commonly used to assess and monitor vegetation over very large areas a task that would be extremely difficult using on the ground sampling techniques. Measuring vegetation from satellite imagery with ndvi. The measurement of vegetation signatures using remote sensing sources has become a critical way to measure the effects of regional and global scale drought and agricultural production.

The most common measurement is called the normalized difference vegetation index ndvi. Aeroview software processes both satellite and multispectral imagery to provide precise per tree health analytics and highlight problem areas that could otherwise go.