{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:24:23Z","timestamp":1773779063593,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T00:00:00Z","timestamp":1672185600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["42001381"],"award-info":[{"award-number":["42001381"]}]},{"name":"National Natural Science Foundation of China","award":["42201511"],"award-info":[{"award-number":["42201511"]}]},{"name":"National Natural Science Foundation of China","award":["BX20200343"],"award-info":[{"award-number":["BX20200343"]}]},{"name":"National Natural Science Foundation of China","award":["2020M670480"],"award-info":[{"award-number":["2020M670480"]}]},{"name":"National Natural Science Foundation of China","award":["2022NGCM04"],"award-info":[{"award-number":["2022NGCM04"]}]},{"name":"China Post-Doctoral Program for Innovative Talents","award":["42001381"],"award-info":[{"award-number":["42001381"]}]},{"name":"China Post-Doctoral Program for Innovative Talents","award":["42201511"],"award-info":[{"award-number":["42201511"]}]},{"name":"China Post-Doctoral Program for Innovative Talents","award":["BX20200343"],"award-info":[{"award-number":["BX20200343"]}]},{"name":"China Post-Doctoral Program for Innovative Talents","award":["2020M670480"],"award-info":[{"award-number":["2020M670480"]}]},{"name":"China Post-Doctoral Program for Innovative Talents","award":["2022NGCM04"],"award-info":[{"award-number":["2022NGCM04"]}]},{"name":"China Post-Doctoral Science Foundation","award":["42001381"],"award-info":[{"award-number":["42001381"]}]},{"name":"China Post-Doctoral Science Foundation","award":["42201511"],"award-info":[{"award-number":["42201511"]}]},{"name":"China Post-Doctoral Science Foundation","award":["BX20200343"],"award-info":[{"award-number":["BX20200343"]}]},{"name":"China Post-Doctoral Science Foundation","award":["2020M670480"],"award-info":[{"award-number":["2020M670480"]}]},{"name":"China Post-Doctoral Science Foundation","award":["2022NGCM04"],"award-info":[{"award-number":["2022NGCM04"]}]},{"name":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources","award":["42001381"],"award-info":[{"award-number":["42001381"]}]},{"name":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources","award":["42201511"],"award-info":[{"award-number":["42201511"]}]},{"name":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources","award":["BX20200343"],"award-info":[{"award-number":["BX20200343"]}]},{"name":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources","award":["2020M670480"],"award-info":[{"award-number":["2020M670480"]}]},{"name":"Key Laboratory of National Geographic Census and Monitoring, Ministry of Natural Resources","award":["2022NGCM04"],"award-info":[{"award-number":["2022NGCM04"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The interferometric synthetic aperture radar (InSAR) technique based on time\u2013frequency (TF) analysis has great potential for mapping the forest canopy height model (CHM) at regional and global scales, as it benefits from the additional InSAR observations provided by the sublook decomposition. Meanwhile, due to the wider swath and higher spatial resolution of single-polarization data, InSAR has a higher observation efficiency in comparison with PolInSAR. However, the accuracy of the CHM inversion obtained by the TF-InSAR method is attenuated by its inaccurate coherent scattering modeling and uncertain parameter calculation. Hence, a new approach for CHM estimation based on single-baseline InSAR data and sublook decomposition is proposed in this study. With its derivation of the coherent scattering modeling based on the scattering matrix of sublook observations, a time\u2013frequency based random volume over ground (TF-RVoG) model is proposed to describe the relationship between the sublook coherence and the forest biophysical parameters. Then, a modified three-stage method based on the TF-RVoG model is used for CHM retrieval. Finally, the two-dimensional (2-D) ambiguous error of pure volume coherence caused by residual ground scattering and temporal decorrelation is alleviated in the complex unit circle. The performance of the proposed method was tested with airborne L-band E-SAR data at the Krycklan test site in Northern Sweden. Results show that the modified three-stage method provides a root-mean-square error (RMSE) of 5.61 m using InSAR and 14.3% improvement over the PolInSAR technique with respect to the classical three-stage inversion result. An inversion accuracy of RMSE = 2.54 m is obtained when the spatial heterogeneity of CHM is considered using the proposed method, demonstrating a noticeable improvement of 32.8% compared with results from the existing method which introduces the fixed temporal decorrelation factor.<\/jats:p>","DOI":"10.3390\/rs15010166","type":"journal-article","created":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T05:30:27Z","timestamp":1672205427000},"page":"166","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Forest Height Inversion Based on Time\u2013Frequency RVoG Model Using Single-Baseline L-Band Sublook-InSAR Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Lei","family":"Wang","sequence":"first","affiliation":[{"name":"School of Civil Engineer and Geomatics, Southwest Petroleum University, Chengdu 640500, China"}]},{"given":"Yushan","family":"Zhou","sequence":"additional","affiliation":[{"name":"National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Gaoyun","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Civil Engineer and Geomatics, Southwest Petroleum University, Chengdu 640500, China"}]},{"given":"Junnan","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Civil Engineer and Geomatics, Southwest Petroleum University, Chengdu 640500, China"}]},{"given":"Hongtao","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.oregeorev.2018.04.014","article-title":"Aster capability in mapping of mineral resources of arid region: A review on mapping of mineral resources of the sultanate of oman","volume":"108","author":"Rajendran","year":"2019","journal-title":"Ore Geol. 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