Mangrove AGB (Pesawaran District 2020-2022)

Published: 24 December 2025| Version 1 | DOI: 10.17632/fmsrbnm59p.1
Contributors:
Livia Janice Widiapradja, Yeftanus Antonio

Description

This study develops a multisource ensemble-learning framework for mangrove AGB estimation in Pesawaran District, Indonesia, by integrating optical imagery from Sentinel-2, SAR backscatter from Sentinel-1, GEDI LiDAR–derived structural metrics, and environmental variables within a monthly, time-aligned dataset from 2020 to 2022.

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Categories

Agricultural Science, Remote Sensing, Machine Learning

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