Estimating aboveground biomass using Sentinel-2 MSI data and ensemble algorithms for grassland in the Shengjin Lake Wetland, China

C Li, L Zhou, W Xu - Remote Sensing, 2021 - mdpi.com
Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem
health and is critical for water purification, carbon cycle, and biodiversity conservation …

[图书][B] The potential of Sentinel-2 satellite images for land-cover/land-use and forest biomass estimation: A review

C Isbaex, AM Coelho - 2021 - intechopen.com
Mapping land-cover/land-use (LCLU) and estimating forest biomass using satellite images
is a challenge given the diversity of sensors available and the heterogeneity of forests …

Reduction in Uncertainty in Forest Aboveground Biomass Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China

L Li, B Zhou, Y Liu, Y Wu, J Tang, W Xu, L Wang, G Ou - Remote Sensing, 2023 - mdpi.com
The uncertainty from the under-estimation and over-estimation of forest aboveground
biomass (AGB) is an urgent problem in optical remote sensing estimation. In order to more …

[HTML][HTML] Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery

X Zhang, H Shen, T Huang, Y Wu, B Guo, Z Liu… - Ecological …, 2024 - Elsevier
A simpler, unbiased, and comprehensive random forest (RF) model is needed to improve
the accuracy of aboveground biomass (AGB) estimation. In this study, data were obtained …

Estimation of forest parameters in boreal artificial coniferous forests using landsat 8 and sentinel-2A

R Sa, W Fan - Remote Sensing, 2023 - mdpi.com
In order to evaluate forest quality and carbon stocks and improve our understanding of
ecosystems and carbon cycling processes, the accurate measurement of aboveground …

National scale land cover classification for ecosystem services mapping and assessment, using multitemporal copernicus EO data and google earth engine

N Verde, IP Kokkoris, C Georgiadis, D Kaimaris… - Remote Sensing, 2020 - mdpi.com
Land-Use/Land-Cover (LULC) products are a common source of information and a key input
for spatially explicit models of ecosystem service (ES) supply and demand. Global …

[HTML][HTML] The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape

C Matiza, O Mutanga, J Odindi, M Mngadi - Ecological Informatics, 2024 - Elsevier
Urbanization, deforestation, and forest degradation significantly contribute to atmospheric
carbon emissions and heightened climate change risks. Reforestation, a sustainable long …

Estimating aboveground biomass of two different forest types in myanmar from sentinel-2 data with machine learning and geostatistical algorithms

P Wai, H Su, M Li - Remote Sensing, 2022 - mdpi.com
The accurate estimation of spatially explicit forest aboveground biomass (AGB) provides an
essential basis for sustainable forest management and carbon sequestration accounting …

Mapping the spatial distribution of aboveground biomass of tea agroforestry systems using random forest algorithm in Barak valley, Northeast India

RM Kalita, S Nandy, R Srinet, AJ Nath, AK Das - Agroforestry Systems, 2022 - Springer
The tea agroforestry system has great economic potential by supporting livelihood and food
security while advancing ecological services by sequestering a large amount of carbon …

Above ground tree biomass modeling using machine learning algorithms in western Terai Sal Forest of Nepal

B Singh, AK Verma, K Tiwari, R Joshi - Heliyon, 2023 - cell.com
The monitoring of forest biomass is a crucial biophysical parameter in forest ecosystems, as
it provides valuable information for managing forests sustainably and tracking carbon …