Vegetation Satellite Imagery

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.

Vegetation satellite imagery.

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

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