This script is designed to compare Normal Difference Vegetation Index (NDVI) of two raster images (EO-1, multispectral) in Bali with different time (2011 and 2014) using GDAL and NumPy. Each raster is converted into set of array then NDVI is calculated (NIR - RED / NIR + RED). After that, NDVI difference between both image is calculated by subtraction and result is converted to absolute value. The result is a new raster file which contains NDVI value difference to identify vegetation changes where higher value (lighter pixel) indicating massive vegetation changes over three years period.
This script is designed to compare Normal Difference Vegetation Index (NDVI) of two raster images (EO-1, multispectral) in Bali with different time (2011 and 2014) using GDAL and NumPy. Each raster is converted into set of array then NDVI is calculated (NIR - RED / NIR + RED). After that, NDVI difference between both image is calculated by subtraction and result is converted to absolute value. The result is a new raster file which contains NDVI value difference to identify vegetation changes where higher value (lighter pixel) indicating massive vegetation changes over three years period.