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 …
Development of forest aboveground biomass estimation, its problems and future solutions: A review
T Ma, C Zhang, L Ji, Z Zuo, M Beckline, Y Hu, X Li… - Ecological …, 2024 - Elsevier
Forest aboveground biomass (AGB) is crucial as it serves as a fundamental indicator of the
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …
productivity, biodiversity, and carbon storage of forest ecosystems. This paper presents a …
Integration of sentinel-1 and sentinel-2 for classification and LULC mapping in the urban area of Belém, eastern Brazilian Amazon
In tropical regions, such as in the Amazon, the use of optical sensors is limited by high cloud
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
coverage throughout the year. As an alternative, Synthetic Aperture Radar (SAR) products …
[HTML][HTML] Estimating aboveground biomass of the mangrove forests on northeast Hainan Island in China using an upscaling method from field plots, UAV-LiDAR data …
The mangrove forests of northeast Hainan Island are the most species diverse forests in
China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial …
China and consist of the Dongzhai National Nature Reserve and the Qinglan Provincial …
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 …
Estimating pasture biomass using sentinel-2 imagery and machine learning
Effective dairy farm management requires the regular estimation and prediction of pasture
biomass. This study explored the suitability of high spatio-temporal resolution Sentinel-2 …
biomass. This study explored the suitability of high spatio-temporal resolution Sentinel-2 …
Estimating mangrove above-ground biomass using extreme gradient boosting decision trees algorithm with fused sentinel-2 and ALOS-2 PALSAR-2 data in can Gio …
This study investigates the effectiveness of gradient boosting decision trees techniques in
estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve …
estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve …
Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery
Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis
Forests play a vital role in maintaining the global carbon balance. However, globally, forest
ecosystems are increasingly threatened by climate change and deforestation in recent …
ecosystems are increasingly threatened by climate change and deforestation in recent …
Comparison of machine learning methods for estimating mangrove above-ground biomass using multiple source remote sensing data in the red river delta biosphere …
This study proposes a hybrid intelligence approach based on an extreme gradient boosting
regression and genetic algorithm, namely, the XGBR-GA model, incorporating Sentinel-2 …
regression and genetic algorithm, namely, the XGBR-GA model, incorporating Sentinel-2 …