The program is written in python to visualize the NDVI (Normalized Difference Vegetation Index) and EVI (Enhanced Vegetation Index) time-series data. Vegetation Indices are very helpful in monitoring droughts, forest coverage and many more. The two most widely used indices are NDVI and EVI.
To get the time-series data Google Earth Engine can be used. It helps in extracting the values and do all the data preprocessing. There is a guided project in the youtube channel Spatial Thoughts on this topic.
Link to the playlist: https://www.youtube.com/playlist?list=PLppGmFLhQ1HJV1CctqanQvXQI1JmqGDDD
After extracting the values, the python script can be utilized. Things should be kept in mind:
- The data files must be in csv format
- The data files must be in the same folder as the script
- The name of the files should be written in the array files_ndvi and files_evi
- The time gaps of the two indices should be checked before running the code