Here we explore the transferability of GEDI's AGBD estimation framework to ICESat-2. We compare distribution of Relative Height (RH) metrics from both products.
The aboveground biomass model was constructed using the random forest machine learning technique, which was accomplished by combining the use of in situ field ...
Sep 1, 2024 · The aim of this study is to evaluate the estimation of mean AGBD from ICESat-2 data using a hierarchical modeling approach combined with rigorous statistical ...
ICESat-2 therefore fills GEDI's northern data gap, and has the potential for producing boreal estimates of AGBD comparable to GEDI's forthcoming AGBD products.
These projects focus on using height data from ICESat-2 to estimate and map woody aboveground biomass for the boreal domain. We explore the transference of ...
Aug 23, 2023 · This dataset provides estimates of Aboveground dry woody Biomass Density (AGBD) for high northern latitude forests at a 30-m spatial resolution.
... boreal-wide mapping and filling the northern spatial data gap from NASA's Global Ecosystem Dynamics Investigation (GEDI) project. Mapping forest aboveground ...
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The objective of this research is to create ICESat-2 aboveground biomass density (AGBD) models for boreal forests globally at a 30 m spatial resolution and ...
The objective of this research was to create ICESat-2 aboveground biomass density (AGBD) models for the global entirety of boreal forests at a 30 m spatial ...
Jul 15, 2021 · The study presents an innovative methodology for forest biomass estimation using ICESat-2 data in combination with SAR and optical satellite ...