On the Potential of Sequential and Nonsequential Regression Models for Sentinel-1-Based Biomass Prediction in Tanzanian Miombo Forests

This study derives regression models for aboveground biomass (AGB) estimation in miombo woodlands of Tanzania that utilize the high availability and low cost of Sentinel-1 data. The limited forest canopy penetration of C-band SAR sensors along with the sparseness of available ground truth restricts...

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Bibliografiske detaljer

Principais autores:	Sara Bjork, Stian Normann Anfinsen, Erik Naesset, Terje Gobakken, Eliakimu Zahabu
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2022-01-01
Serier:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:	Aboveground biomass (AGB) airborne laser scanning (ALS) conditional adversarial generative network (cGAN) sensor fusion Sentinel-1 synthetic aperture radar (SAR)
Online adgang:	https://ieeexplore.ieee.org/document/9788045/
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