Vol. 11, Issue 8 (2022)

Author(s):
G Snigdha, Gumma Murali Krishna, P Panjala, TL Neelima and K Avil Kumar

Abstract:
This study established a method for mapping rice-growing areas in Nalgonda district of Telangana using SAR and Optical data. Supervised classification was executed on Sentinel-1 and 2 time series data in Google Earth Engine using a Random Forest classifier and ground reference points gathered from field survey. Results showed a total rice area of 1.55 L ha. Comparing the classification results to the ground reference data revealed that the total accuracy and Kappa coefficient obtained by RF were 92.5% and 0.89, respectively.