期刊论文

Wang, CC

英文

Forests

1999-4907

2023

14

12

2303-

10.3390/f14122303

The work was supported by the Natural Science Foundation of Hunan Province, China (grant number 2023JJ30096), the Scientific Research Fund of Hunan Provincial Education Department (grant number 22B0722), the Open Foundation of Hengyang Base of International Centre on Space Technologies for Natural and Cultural Heritage under the auspices of UNESCO (grant number 2022HSKFJJ009), and the Science Foundation of Hengyang Normal University (grant number 2021QD02).

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Forest aboveground biomass (AGB) retrieval using synthetic aperture radar (SAR) backscatter has received extensive attention. The water cloud model (WCM), because of its simplicity and physical significance, has been one of the most commonly used models for estimating forest AGB using SAR backscatter. Nevertheless, forest AGB estimation using the WCM is usually based on simplified assumptions and empirical fitting, leading to results that tend to overestimate or underestimate. Moreover, the physical connection between the model and the polarimetric synthetic aperture radar (PolSAR) is not esta...