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Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects
The saturation of spectral reflectance within densely vegetated regions is a renowned
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
challenge that has precluded the optimal use of broad-band remotely sensed data and its …
[HTML][HTML] Remote sensing of grassland production and management—A review
Grasslands cover one third of the earth's terrestrial surface and are mainly used for livestock
production. The usage type, use intensity and condition of grasslands are often unclear …
production. The usage type, use intensity and condition of grasslands are often unclear …
[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 …
[HTML][HTML] The use of machine learning methods to estimate aboveground biomass of grasslands: A review
The study of grasslands using machine learning (ML) methods combined with
proximal/remote sensing data (RS) has been steadily increasing in the last decades …
proximal/remote sensing data (RS) has been steadily increasing in the last decades …
Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges
The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing
greenhouse gas emissions and mitigating the impacts of climate change. However …
greenhouse gas emissions and mitigating the impacts of climate change. However …
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. Map** the structure of …
conservation, and forest ecosystem science at the landscape level. Map** the structure of …
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass map**
Accurate map** of forest aboveground biomass (AGB) is critical for better understanding
the role of forests in the global carbon cycle. NASA's current GEDI and ICESat-2 missions as …
the role of forests in the global carbon cycle. NASA's current GEDI and ICESat-2 missions as …
Estimation and map** of above-ground biomass of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery
The recent launch of the Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a
new opportunity for land-based biomass map** and monitoring especially in the tropics …
new opportunity for land-based biomass map** and monitoring especially in the tropics …
[HTML][HTML] Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Quantifying forest biomass stocks and their dynamics is important for implementing effective
climate change mitigation measures by aiding local forest management, studying processes …
climate change mitigation measures by aiding local forest management, studying processes …
[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …