The project activity helps in estimation of carbon stock present in mangrove forest of Kakinada, East Godavari, Andhra Pradesh using remote sensing.
A large fraction of the mangroves in India was destroyed due to aquaculture and agriculture expansion.
Carbon Stock Estimation:
The focus of this study was to employ spectral signatures and morphological characteristics of mangroves to generate an improved index for separating mangrove vegetation from non-mangrove vegetation classes and to compare the performance of the index with other established vegetation discriminating indices [(e.g. Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Soil Adjusted Vegetation Index (SAVI), Simple Ratio (SR)] using LandSat 8 OLI imagery. The latest index developed in this study namely ‘Combined Mangrove Recognition Index (CMRI)’ incorporates outputs from NDVI and NDWI indices in order to assess exclusively the mangrove vegetation using information like greenness and water content (succulence).
We work with governments on carbon stock estimation using remote sensing. Join us.
