文献类型：期刊文献

英文题名：A New Approach for Forest Height Inversion Using X-Band Single-Pass InSAR Coherence Data

作者：Zhao, Lei[1,2] Chen, Erxue[1,2] Li, Zengyuan[1,2] Zhang, Wangfei[3] Fan, Yaxiong[1,2]

第一作者：赵磊;Zhao, Lei

通信作者：Li, ZY[1]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]NFGA, Key Lab Forestry Remote Sensing & Informat Syst, Beijing 100091, Peoples R China;[3]Southwest Forestry Univ, Coll Forestry, Kunming 650233, Yunnan, Peoples R China

年份：2022

卷号：60

外文期刊名：IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

收录：;EI(收录号：20211710259511);Scopus(收录号：2-s2.0-85104594432);WOS:【SCI-EXPANDED(收录号:WOS:000732775200001)】；

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2017YFB0502700; in part by the National Natural Science Foundation of China under Grant 41801289, Grant 31860240, and Grant 31870531; and in part by the Central Public-Interest Scientific Institution Basal Research Fund of China under Grant CAFYBB2019SY026. (Corresponding author: Zengyuan Li.)

语种：英文

外文关键词：Forestry; Coherence; Decorrelation; Data models; Mathematical model; Backscatter; Synthetic aperture radar; Coherence; forest height inversion; interferometric synthetic aperture radar (InSAR); multilevel model (MLM); single-pass InSAR; X-band

摘要：In this article, a multilevel model (MLM) for forest height inversion is introduced and investigated using X-band single-pass interferometric synthetic aperture radar (InSAR) coherence data. Compared with the two-level model (TLM), as a generalized model, the MLM is more in line with the characteristics of forest structure and the scattering mechanism for X-band data. Based on the MLM model, three simplified MLM models were derived: TLMm, SINC, and MTND. An improved method of calculating coherence considering the assumptions of the MLM model is proposed. At two test sites, airborne (CASMSAR) and spaceborne (TanDEM-X) X-band single-pass InSAR data and LiDAR H100 data were used to verify the proposed new approach. The results showed that the MTND model can obtain more reliable and accurate inversion results compared to the SINC model and the TLMm. With airborne InSAR data, the MTND model's highest accuracy was 82.56%, and the root mean square error (RMSE) was 2.4 m. With spaceborne InSAR data, the highest inversion accuracy of the MTND model was 73.55%, with an RMSE of 4.92 m. The inversion accuracy of forest height can be effectively improved by ensuring that the theoretical models and calculations of coherence obey the same assumptions.