A review of radar remote sensing for biomass estimation
Forest plays a vital role in regulating climate through carbon sequestration in its biomass.
Biomass reflects the health and environmental conditions of a forest ecosystem. In context to …
Biomass reflects the health and environmental conditions of a forest ecosystem. In context to …
A review of carbon monitoring in wet carbon systems using remote sensing
Carbon monitoring is critical for the reporting and verification of carbon stocks and change.
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
Remote sensing is a tool increasingly used to estimate the spatial heterogeneity, extent and …
An evaluation of eight machine learning regression algorithms for forest aboveground biomass estimation from multiple satellite data products
Y Zhang, J Ma, S Liang, X Li, M Li - Remote sensing, 2020 - mdpi.com
This study provided a comprehensive evaluation of eight machine learning regression
algorithms for forest aboveground biomass (AGB) estimation from satellite data based on …
algorithms for forest aboveground biomass (AGB) estimation from satellite data based on …
Integration of UAV, Sentinel-1, and Sentinel-2 data for mangrove plantation aboveground biomass monitoring in Senegal
JA Navarro, N Algeet, A Fernández-Landa, J Esteban… - Remote Sensing, 2019 - mdpi.com
Due to the increasing importance of mangroves in climate change mitigation projects, more
accurate and cost-effective aboveground biomass (AGB) monitoring methods are required …
accurate and cost-effective aboveground biomass (AGB) monitoring methods are required …
Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource …
The successful launch of the 30-m Landsat-8 Operational Land Imager (OLI) pushbroom
sensor offers a new primary data source necessary for aboveground biomass (AGB) …
sensor offers a new primary data source necessary for aboveground biomass (AGB) …
Forest biomass retrieval approaches from earth observation in different biomes
P Rodríguez-Veiga, S Quegan, J Carreiras… - International Journal of …, 2019 - Elsevier
The amount and spatial distribution of forest aboveground biomass (AGB) were estimated
using a range of regionally developed methods using Earth Observation data for Poland …
using a range of regionally developed methods using Earth Observation data for Poland …
The potential of multifrequency SAR images for estimating forest biomass in Mediterranean areas
The extraction of forest information from SAR images is particularly complex in
Mediterranean areas, since they are characterized by high spatial fragmentation and …
Mediterranean areas, since they are characterized by high spatial fragmentation and …
Improved semisupervised unet deep learning model for forest height mapping with satellite sar and optical data
S Ge, H Gu, W Su, J Praks… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
In this study, we introduce an improved semisupervised deep learning approach, and
demonstrate its suitability for modeling the relationship between forest structural parameters …
demonstrate its suitability for modeling the relationship between forest structural parameters …
森林地上生物量遥感反演方法综述
刘茜， 杨乐， 柳钦火， 李静 - 遥感学报, 2021 - ygxb.ac.cn
森林地上生物量反演对理解和监测生态系统及评估人类生产生活的影响有着重要作用,
日益发展的遥感技术使全球及大区域的生物量估算成为可能. 近年来, 不同的遥感技术和反演 …
日益发展的遥感技术使全球及大区域的生物量估算成为可能. 近年来, 不同的遥感技术和反演 …
Research pathways of forest above-ground biomass estimation based on SAR backscatter and interferometric SAR observations
M Santoro, O Cartus - Remote Sensing, 2018 - mdpi.com
Estimation of forest biomass with synthetic aperture radar (SAR) and interferometric SAR
(InSAR) observables has been surveyed in 186 peer-reviewed papers to identify major …
(InSAR) observables has been surveyed in 186 peer-reviewed papers to identify major …