Characterization of Mango Orchard Biophysical Parameters using NovaSAR-1 S-Band data

Abstract

This study evaluates the ability of S-band SAR data to characterize the biophysical parameters of Mango orchards. The observations from the correlation matrix of NovaSAR-1 parameters and the biophysical parameters indicate that height had the strongest correlation with VV (-0.40) in comparison to the other biophysical parameters. Based on the testing of models, MLR (Multiple Linear Regression) yielded the best RMSE (0.47m) and MAE (0.68m) in the estimation of height with the parameter's Co-pol index and HH backscatter. In the case of DBH, RFR (Random Forest Regression) gave the highest RMSE (0.23m) and MAE (0.05m) with HH and co-pol index. A comparison between the VV backscatter using S-band and C-band data (obtained from Sentinel-1) was also carried out for the mango orchard with S-band data having a higher dynamic range than C-band data.