Combination of feature selection and catboost for prediction: The first application to the estimation of aboveground biomass

M Luo, Y Wang, Y Xie, L Zhou, J Qiao, S Qiu, Y Sun - Forests, 2021 - mdpi.com
Increasing numbers of explanatory variables tend to result in information redundancy and
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …

Estimation and mapping of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery

JAA Castillo, AA Apan, TN Maraseni… - ISPRS Journal of …, 2017 - Elsevier
The recent launch of the Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a
new opportunity for land-based biomass mapping and monitoring especially in the tropics …

Technological opportunities for measuring and monitoring blue carbon initiatives in mangrove ecosystems

R Farzanmanesh, K Khoshelham, S Thomas - … Applications: Society and …, 2021 - Elsevier
Mangrove forests play a crucial role in the carbon cycle and mitigate climate change by
reducing carbon dioxide emissions. However, mangrove ecosystems have declined …

Integrating Sentinel-1 and 2 with LiDAR data to estimate aboveground biomass of subtropical forests in northeast Guangdong, China

L Zhang, X Zhang, Z Shao, W Jiang… - International Journal of …, 2023 - Taylor & Francis
Accurate monitoring of forest aboveground biomass (AGB) is vital for sustainable forest
management. Generally, the AGB is estimated by combining satellite images and field …

Improving aboveground biomass maps of tropical dry forests by integrating LiDAR, ALOS PALSAR, climate and field data

JL Hernández-Stefanoni, MÁ Castillo-Santiago… - Carbon balance and …, 2020 - Springer
Background Reliable information about the spatial distribution of aboveground biomass
(AGB) in tropical forests is fundamental for climate change mitigation and for maintaining …

Integration of multi-resource remotely sensed data and allometric models for forest aboveground biomass estimation in China

H Huang, C Liu, X Wang, X Zhou, P Gong - Remote sensing of environment, 2019 - Elsevier
Quantification of forest aboveground biomass density (AGB) is useful in forest carbon cycle
studies, biodiversity protection and climate-change mitigation actions. However, a finer …

Physical and socioeconomic driving forces of land‐use and land‐cover changes: A case study of Wuhan City, China

X Li, Y Wang, J Li, B Lei - Discrete Dynamics in Nature and …, 2016 - Wiley Online Library
To investigate precise nexus between land‐use and land‐cover changes (LUCC) and
driving factors for rational urban management, we used remotely sensed images to map …

Retrieval of mangrove aboveground biomass at the individual species level with worldview-2 images

Y Zhu, K Liu, L Liu, S Wang, H Liu - Remote Sensing, 2015 - mdpi.com
Previous research studies have demonstrated that the relationship between remote sensing-
derived parameters and aboveground biomass (AGB) could vary across different species …

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 …

SAR-based estimation of above-ground biomass and its changes in tropical forests of Kalimantan using L-and C-band

A Berninger, S Lohberger, M Stängel, F Siegert - Remote Sensing, 2018 - mdpi.com
Kalimantan poses one of the highest carbon emissions worldwide since its landscape is
strongly endangered by deforestation and degradation and, thus, carbon release. The goal …