Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery
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 …
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 …
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …
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
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 …
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
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 …
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 …
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
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 …
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 …
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
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 …
(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
Accurate forest above-ground biomass (AGB) mapping is crucial for sustaining forest
management and carbon cycle tracking. The Shuttle Radar Topographic Mission (SRTM) …
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
The classification of tree species through remote sensing data is of great significance to
monitoring forest disturbances, biodiversity assessment, and carbon estimation. The dense …
monitoring forest disturbances, biodiversity assessment, and carbon estimation. The dense …