Establish canopy height estimation models for different forest types using multi-source remote sensing data based on machine learning algorithms (RF and GBDT) ...
Jul 25, 2024 · Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas, but it is still a challenge to obtain ...
Abstract: Spaceborne LiDAR has been widely used to obtain forest canopy heights over large areas, but it is still a challenge to obtain spatio-continuous ...
The main objective of this study is to assess the potential of S1 and S2 satellite data, both in a single and a multisensor approach, for modeling canopy height ...
In our research, we attempted to propose a forest canopy height estimation method that integrates ICESat-2 and GEDI satellite LiDAR data with Sentinel-1/2, ...
High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2, and Landsat-8 data.
48 Citations · Forest Canopy Height Mapping by Synergizing ICESat-2, Sentinel-1, Sentinel-2 and Topographic Information Based on Machine Learning Methods.
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... Forest canopy height mapping by synergizing ICESat-2, Sentinel-1, Sentinel-2 and topographic information based on machine learning methods. Remote Sens 14 ...
In this study, we proposed innovative processing approaches to extract FCH from ICESat-2 photons and GEDI footprints in the plain regions of Anhui Province, ...
High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data. Int. J ...