Model Spasial Pendugaan dan Pemetaan Biomassa di Atas Permukaan Tanah Menggunakan Citra ALOS PALSAR Resolusi 12.5 M.

Abstract

Remote Sensing Technology is one of the technology to estimate biomass in the forest. ALOS PALSAR image has a capability to penetrate the thick cloud layer. The aim of this research was to create biomass estimation model in coal mining areas of revegetation PT. Bukit Asam using 12.5 m resolution of ALOS PALSAR image and mapped the distribution of biomass. Field biomass was estimated using allometric Chave (2005) and Ketterings (2001). The biomass estimation models were developed using regression analysis by relating the field biomass values and the backscatter values of HH and HV polarizations of the ALOS PALSAR image. Selection of the best model based on parameters maximum R2adj, Root Mean Square Error as the least. The verification of selected model done by using t-paired test, then the biomass mapping based on models that have been verified. Based on model analysis to estimate biomass obtained results Y = EXP (16.724 + (0.387 x BS_HV)), with value of R2adj 87.9%, RMSE 24.19, Overall Accuracy 58.93% and Kappa Accuracy 19.5%.