Forest Height Estimation Approach Combining P-Band and X-Band Interferometric SAR Data
نویسندگان
چکیده
Forest height is an essential parameter used to derive important information about forest ecosystems, such as above-ground biomass. In this article, a estimation approach combining P-band and X-band interferometric synthetic aperture radar (InSAR) was introduced. The estimated using the difference in penetration of long- short-wavelength radars forest. That is, InSAR data were extract digital terrain model (DTM) surface (DSM), respectively. For DTM, improved time-frequency (TF) analysis method reduce effect scatterers on extraction pure understory phase based InSAR. DSM, novel compensation algorithm multi-layer (MLM) proposed remove bias X-band. Compared existing infinitely deep uniform volumes (IDUV) model, MLM-based more line with characteristics structure scattering mechanism for airborne repeat-pass spaceborne (TanDEM-X) single-pass verify over study area Saihanba Farm Hebei, China. results demonstrated that TF can achieve high-precision DTM data, root mean square error (RMSE) 0.94 m. DSM achieved smaller (RMSE: 1.67 m) compared IDUV-based 3.01 m). Under same extracted by InSAR, accuracy MLM 86.58% 1.81 m), which 8.49% higher than 2.98
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14133070