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Author

Qiang Wang

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Open access Oct 2026

Forest Canopy Height Estimation Based on TECIS Multi-Angle Data and a Novel Discrete CHM Dataset Derived from GF-7 and GEDI

Forest canopy height (FCH) is a key parameter for estimating forest aboveground biomass (AGB) and carbon storage. The integration of GEDI relative height products and single-angle imagery has been widely applied in FCH estimation. However, GEDI geolocation errors and the canopy underestimation of traditional single-ang...

Yang Bai, Qiang Wang, Lu-He Wan et al. · 0 citations
Open access Sep 2026

Planetary Boundary Layer Height Prediction over Karst Plateau: A Study Integrating Multi-Source Remote Sensing and Machine Learning

The results demonstrate that locally observation-driven machine learning can serve as a viable supplement or alternative to global reanalysis for boundary layer height estimation over complex karst terrain and they quantify the specific value that vertical profiling observations add relative to surface measurements alo...

Jue Wang, Peng-Cheng Jia, Yang Li et al. · 0 citations

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