Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery

EMO Silveira, VC Radeloff, S Martinuzzi… - Remote Sensing of …, 2023 - Elsevier
Detailed maps of forest structure attributes are crucial for sustainable forest management,
conservation, and forest ecosystem science at the landscape level. Mapping the structure of …

[HTML][HTML] Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the …

SA Anees, K Mehmood, WR Khan, M Sajjad… - Ecological …, 2024 - Elsevier
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …

Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets-A case study

G Forkuor, JBB Zoungrana, K Dimobe… - Remote Sensing of …, 2020 - Elsevier
Abstract The Sudanian Savanna (SS) of West Africa is characterized by tropical savannas
and woodlands. Accurate estimation of AGB and carbon stocks in this biome is important for …

Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing

Y Tian, H Huang, G Zhou, Q Zhang, J Tao… - Science of the Total …, 2021 - Elsevier
On the basis of canopy height variables, vegetation index, texture index, and laser point
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …

[HTML][HTML] Improved estimation of aboveground biomass in rubber plantations by fusing spectral and textural information from UAV-based RGB imagery

Y Liang, W Kou, H Lai, J Wang, Q Wang, W Xu… - Ecological …, 2022 - Elsevier
Aboveground biomass (AGB), as a crucial indicator of forest growth and quality, plays an
important role in monitoring the global carbon cycle and forest health. Rapid, accurate, and …

Remote sensing and machine learning applications for aboveground biomass estimation in agroforestry systems: a review

B Thapa, S Lovell, J Wilson - Agroforestry Systems, 2023 - Springer
The estimation of aboveground biomass (AGB) in agroforestry systems using remote
sensing has proliferated in the last decades. Similarly, machine learning is also being used …

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 …

Estimating aboveground biomass in dense Hyrcanian forests by the use of Sentinel-2 data

F Moradi, AA Darvishsefat, MR Pourrahmati, A Deljouei… - Forests, 2022 - mdpi.com
Due to the challenges brought by field measurements to estimate the aboveground biomass
(AGB), such as the remote locations and difficulties in walking in these areas, more accurate …

Optimal combination of predictors and algorithms for forest above-ground biomass mapping from Sentinel and SRTM data

L Chen, Y Wang, C Ren, B Zhang, Z Wang - Remote Sensing, 2019 - mdpi.com
Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …

Exploitation of time series sentinel-2 data and different machine learning algorithms for detailed tree species classification

Y Xi, C Ren, Q Tian, Y Ren, X Dong… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The classification of tree species through remote sensing data is of great significance to
monitoring forest disturbances, biodiversity assessment, and carbon estimation. The dense …