Evaluation of spectral indices to monitor the vegetation species in a sanctuary for carbon sequestration in soils using Landsat satellite remote sensing

Shreya Tripathi, Raj Setia, Tapan Ghosh, Prem L Uniyal, Amit Kumar

Abstract


Mapping and monitoring of vegetation species is essential for conservation planning and restoration efforts and the changes in vegetation species have significant impact on carbon sequestration in soils. Therefore, dominant vegetation species in Orchha Wildlife Sanctuary (Madhya Pradesh, Central India) were mapped using Landsat satellite data of the years 1981, 1991, 2001, 2011 and 2019. The spectral indices derived from Landsat satellite of the year 2019 were used to find the best separation of dominant vegetation species in the sanctuary. Normalized Difference Vegetation Index (NDVI) and Soil Adjusted Vegetation Index were better than the other three indices (Ratio Vegetation Index, Green Normalized Difference Vegetation Index, and Chlorophyll Vegetation Index) to differentiate Tectona grandis and Anogeissus pendula (accuracy of 91.8% and 87.8% with NDVI and SAVI, respectively and Kappa coefficient of 0.87 and 0.80 with NDVI and SAVI, respectively). The area under Tectona grandis increased over a period of 38 years. There was a significant (p<0.005) positive correlation between SOC and NDVI. The average soil organic carbon was higher under Tectona grandis than Anogeissus pendula. These results suggest that NDVI can be used for mapping and monitoring of these species and also finding out the effect of vegetation species on studying the changes in carbon sequestration in soils.


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