Biomass Estimation by Combining Field-Sampling Measurement and Vegetation Indices derived from SPOT-7 Imagery in Urban Area: A Case Study in South Tangerang, Indonesia

Abstract

Biomass estimation to understand the benefits of vegetation in urban area. Since administratively separated from Tangerang Regency in 2008, the population increased substantially to approximately 3.64%. The rapid urban expansion tends to prioritize short-term develop and led to the conversion of green areas to urban uses. Moreover, it will reduce the vegetation cover which is important in reducing carbon emission. This study used field-sampling meansurement and vegetation indices formula to develop a simple biomass estimation model. The aim of this study is to estimate biomass values, the amount of stored by vegetation and also explan the spatial distribution of biomass in South Tangerang. Allometric equation developed by United States Department of Agriculture (USDA) is used to get the biomass value from field measurement data. Vegetation indices formula includes NDVI (Normalized Differential Vegetation Index), SAVI (Soil-adjusted Vegetation Index) and ARVI (Atmospherically Resistant Vegetation Index) are extracted from SPOT-7 image. Grid analysis used for analyzing the data.