Tropical Forest Height Retrieval Based on P-Band Multibaseline SAR Data

作者：Xinwei Yang, Stefano Tebaldini, Mauro Mariotti d’Alessandro, Mingsheng Liao · 发表于：IEEE Geoscience and Remote Sensing Letters · 年份：2019 · DOI：10.1109/lgrs.2019.2923252 · 被引用次数：27 · 研究领域：Synthetic Aperture Radar (SAR) Applications and Techniques、Landslides and related hazards、Cryospheric studies and observations

In this letter, we present an experimental assessment of vegetation height retrieval in tropical forests based on P-band synthetic aperture radar (SAR) acquisitions. Two approaches are implemented and compared: 1) parametric height estimation by minimizing the least-square problem between random volume over ground (RVoG) model predictions and multibaseline SAR data and 2) thresholding the vertical backscattering profiles that are focused by SAR Beam-forming tomography. The data set under analysis is from the ESA AfriSAR campaign that was flown over Gabon in 2016. Results show that at a resolution of 25 m × 25 m, which corresponds to about 80 independent looks, both of the two approaches are able to retrieve forest height to within an accuracy of about 3 m or better over the interval of forest height between 30 and 50 m when compared to Light Detection and Ranging (LiDAR) measurements.