How can remote sensing help monitor tropical moist forest degradation?—a systematic review

C Dupuis, P Lejeune, A Michez, A Fayolle - Remote sensing, 2020 - mdpi.com
In the context of the climate and biodiversity crisis facing our planet, tropical forests playing a
key role in global carbon flux and containing over half of Earth's species are important to …

A comparative assessment of machine-learning techniques for land use and land cover classification of the Brazilian tropical savanna using ALOS-2/PALSAR-2 …

FF Camargo, EE Sano, CM Almeida, JC Mura… - Remote Sensing, 2019 - mdpi.com
This study proposes a workflow for land use and land cover (LULC) classification of
Advanced Land Observing Satellite-2 (ALOS-2) Phased Array type L-band Synthetic …

Estimation of aboveground carbon density of forests using deep learning and multisource remote sensing

F Zhang, X Tian, H Zhang, M Jiang - Remote Sensing, 2022 - mdpi.com
Forests are crucial in carbon sequestration and oxygen release. An accurate assessment of
forest carbon storage is meaningful for Chinese cities to achieve carbon peak and carbon …

Forest total and component above-ground biomass (AGB) estimation through C-and L-band polarimetric SAR data

P Zeng, W Zhang, Y Li, J Shi, Z Wang - Forests, 2022 - mdpi.com
Forest biomass plays an essential role in forest carbon reservoir studies, biodiversity
protection, forest management, and climate change mitigation actions. Synthetic Aperture …

GA-SVR algorithm for improving forest above ground biomass estimation using SAR data

Y Ji, K Xu, P Zeng, W Zhang - IEEE Journal of Selected Topics …, 2021 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) features have been demonstrated that they have the
potentiality to improve forest above ground biomass (AGB) estimation accuracy, especially …

Satellite observations of the tropical terrestrial carbon balance and interactions with the water cycle during the 21st century

J Worden, S Saatchi, M Keller, AA Bloom, J Liu… - 2021 - Wiley Online Library
A constellation of satellites is now in orbit providing information about terrestrial carbon and
water storage and fluxes. These combined observations show that the tropical biosphere …

[HTML][HTML] Mapping forest successional stages in the Brazilian Amazon using forest heights derived from TanDEM-X SAR interferometry

PDC Bispo, M Pardini, KP Papathanassiou… - Remote Sensing of …, 2019 - Elsevier
Abstract Knowledge of the spatial patterns of successional stages (ie, primary and
secondary forest) in tropical forests allows to monitor forest preservation, mortality and …

Aboveground Biomass Estimation in Tropical Forests: Insights from SAR Data—A Systematic Review

AA Sulabha, SV Asok, CS Reddy, K Soumya - Journal of the Indian Society …, 2025 - Springer
Taking into account that above-ground biomass (AGB) is an ecological variable, a reliable
and faster approach for the estimation of AGB is crucial, especially in biodiversity-rich …

PolSAR-decomposition-based extended water cloud modeling for forest aboveground biomass estimation

S Kumar, RD Garg, H Govil, SPS Kushwaha - Remote Sensing, 2019 - mdpi.com
Polarimetric synthetic aperture radar (PolSAR) remote sensing has been widely used for
forest mapping and monitoring. PolSAR data has the capability to provide scattering …

Evapotranspiration and gross primary productivity of secondary vegetation in Amazonia inferred by eddy covariance

RCS von Randow, J Tomasella, C von Randow… - Agricultural and forest …, 2020 - Elsevier
The conversion of primary forest (PF) to other types of land cover, such as pasture and
agriculture, in Amazonia, affects regional carbon and water balances, significantly …