In this video which is about vegetation indices, we've shown how to extract vegetation from the satellite images in ENVI. We've shown a few examples such as NDVI, RVI, EVI, and SAVI, But shown you the complete procedure so that you'll be able to apply other indices if you need to. Now let's see what is a Vegetation index and how it functions: A spectral vegetation index is generated by combining data from multiple spectral bands into a single value. Usually simple algebraic formulations, SVIs are designed to enhance the vegetation signal in remotely sensed data and provide an approximate measure of live, green vegetation amount. in other words, Vegetation Indices (VIs) are combinations of surface reflectance at two or more wavelengths designed to highlight a particular property of vegetation. They are derived using the reflectance properties of vegetation. Each of the VIs is designed to accentuate a particular vegetation property. More than 150 VIs have been published in scientific literature, but only a small subset have a substantial biophysical basis or have been systematically tested. ENVI provides 27 vegetation indices to use to detect the presence and relative abundance of pigments, water, and carbon as expressed in the solarreflected optical spectrum (400 nm to 2500 nm).
___________________________________________
Subscribe to our channel and Like the video:
✅    / @rsgis6997  
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
Share the video with others:
✅    • Calculating Vegetation Indices using ...  
=========================================================
TimeLine:
00:00 Vegetation Indices
00:15 Preprocessing Landsat 8 Image
04:42 NDVI Index
05:38 RVI Index
06:29 EVI Index
08:13 SAVI Index
=========================================================
Calculating Vegetation Indices using ENVI and Landsat 8 Images (NDVI, RVI, EVI, SAVI)
RS & GIS #RSandGIS