This paper describes a two-stage estimation algorithm for retrieving canopy and stem parameters, applied to AIRSAR data over a site in Queensland, Australia and ...
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This paper describes a two- stage estimation algorithm for retrieving canopy and stem pa- ... ture using an estimation algorithm applied to SAR data from BOREAS,” ...
A two-stage estimation algorithm for retrieving canopy and stem parameters, applied to AIRSAR data over a site in Queensland, Australia and validated using ...
This paper describes a two-stage estimation algorithm for retrieving canopy and stem parameters, applied to AIRSAR data over a site in Queensland, Australia and ...
Using Synthetic Aperture Radar (SAR) data, many studies have established relationships between single or multi-channel data and the total above ground biomass, ...
The inversion of physics-based models presents a promising alternative to empirical relationships for the retrieval of forest structure from Synthetic ...
The use of a non-linear estimation algorithm for retrieving the biomass and structure of vegetation from polarimetric Synthetic Aperture Radar (SAR) data is ...
Mar 2, 2020 · This study aimed at evaluating the potential of machine learning (ML) for estimating forest biomass from polarimetric Synthetic Aperture Radar (SAR) data.
In this work, we propose a method based on deep ensembles that densely estimates forest structure variables at country-scale with 10-m resolution, using freely ...
Missing: moisture algorithm.
All missions providing active remote sensing measurements of forest structure must be converted to AGB using algorithmic models and validated by ground- ...