Abstract

The study aimed to determine the above-ground biomass (AGB) of tropical deciduous forests in Central India using field-based techniques and spaceborne quad-pol ALOS PALSAR-2 L-band and dual-pol Sentinel 1A C-band synthetic aperture radar (SAR). Field sampling based on 73 forested grids exhibited a diverse forest composition in the Satpura Tiger Reserve (STR) with a total of 54 tree species of which 31.48% species were IUCN Red-Listed. The forests were highly diverse (H’=3.22) with a low concentration of dominance (CD =0.06) and a quite high species evenness (E = 0.81). The sensitivity and correlation between field-based AGB and SAR backscatter in STR were highest in cross-polarization due to its higher sensitivity to the vegetation structure in both L- and C-band SAR, where L-VH based AGB estimates were found more accurate (RMSE:5.17%). The study provided vital information for setting up strategies for biodiversity conservation, enhancing forest productivity, and restoring wildlife habitats.

摘要

该研究旨在使用基于现场的技术和星载四极化 ALOS PALSAR-2 L 波段和双极化 Sentinel 1A C 波段合成孔径雷达来确定印度中部热带落叶林的地上生物量 (AGB)。特区）。基于 73 个森林网格的实地采样展示了 Satpura Tiger Reserve (STR) 的多样化森林组成，共有 54 种树种，其中 31.48% 的树种被列入 IUCN 红色名录。森林高度多样化（H'=3.22），优势集中度低（CD = 0.06），物种均匀度相当高（E = 0.81）。STR 中基于场的 AGB 和 SAR 后向散射之间的敏感性和相关性在交叉极化中最高，因为它对 L 和 C 波段 SAR 中的植被结构具有更高的敏感性，其中发现基于 L-VH 的 AGB 估计更准确（均方根误差：5.17%）。