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A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
Estimates of forest biomass are needed for various technical and scientific applications,
ranging from carbon and bioenergy policies to sustainable forest management. As local …
ranging from carbon and bioenergy policies to sustainable forest management. As local …
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 …
High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
The saturation problem associated with the use of NDVI for biomass estimation in high
canopy density vegetation is a well known phenomenon. Recent field spectroscopy …
canopy density vegetation is a well known phenomenon. Recent field spectroscopy …
Examining spectral reflectance saturation in Landsat imagery and corresponding solutions to improve forest aboveground biomass estimation
The data saturation problem in Landsat imagery is well recognized and is regarded as an
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …
important factor resulting in inaccurate forest aboveground biomass (AGB) estimation …
[HTML][HTML] 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 …
Stacked sparse autoencoder modeling using the synergy of airborne LiDAR and satellite optical and SAR data to map forest above-ground biomass
Timely, spatially complete, and reliable forest above-ground biomass (AGB) data are a
prerequisite to support forest management and policy formulation. Traditionally, forest AGB …
prerequisite to support forest management and policy formulation. Traditionally, forest AGB …
[HTML][HTML] Forest above-ground biomass inversion using optical and SAR images based on a multi-step feature optimized inversion model
Forest biomass change monitoring is essential for climate change. Synthetic aperture radar
(SAR) and optimal remote sensing (RS) data are two very helpful data sources for forest …
(SAR) and optimal remote sensing (RS) data are two very helpful data sources for forest …
A radiative transfer model-based method for the estimation of grassland aboveground biomass
This paper presents a novel method to derive grassland aboveground biomass (AGB) based
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …
on the PROSAILH (PROSPECT+ SAILH) radiative transfer model (RTM). Two variables, leaf …
Modeling forest above-ground biomass using freely available satellite and multisource datasets
Achieving the 2° C global warming target will require all stakeholders, from local to global, to
accelerate carbon reduction plans. To properly estimate carbon amounts sequestered and …
accelerate carbon reduction plans. To properly estimate carbon amounts sequestered and …