{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T19:00:44Z","timestamp":1774292444873,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,25]],"date-time":"2023-02-25T00:00:00Z","timestamp":1677283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["31971654"],"award-info":[{"award-number":["31971654"]}]},{"name":"National Natural Science Foundation of China","award":["D040114"],"award-info":[{"award-number":["D040114"]}]},{"name":"Civil Aerospace Technology Advance Research Project","award":["31971654"],"award-info":[{"award-number":["31971654"]}]},{"name":"Civil Aerospace Technology Advance Research Project","award":["D040114"],"award-info":[{"award-number":["D040114"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This paper considers extinction coefficient changes with height caused by the inhomogeneous distribution of scatterers in heterogeneous forests and uses the InSAR phase center height histogram and Gaussian function to fit the normalized extinction coefficient curve so as to reflect the vertical structure of the heterogeneous forest. Combining polarization decomposition based on the physical model and the PolInSAR parameter inversion method, the ground and volume coherence matrices can be separated based on the polarization characteristics and interference coherence diversity. By combining the new abovementioned parameters, the semi-empirical improved RVoG inversion model can be used to both quantify the effects of temporal decorrelation on coherence and phase errors and avoid the effects of small vertical wavenumbers on the large temporal baseline of spaceborne data. The model provided robust inversion for the height of the coniferous forest and enhanced the parameter estimation of the forest structure. This study addressed the influence of vertical structure differences on the extinction coefficient, though the coherence of the ground and volume in sparse vegetation areas could not be accurately estimated, and the oversensitivity of temporal decorrelation caused by inappropriate vertical wavenumbers. According to this method we used spaceborne L-band ALOS-2 PALSAR data on the Saihanba forest in Hebei Province acquired in 2020 for the purpose of height inversion, with a temporal baseline range of 14\u201370 days and the vertical wavenumber range of 0.01\u20130.03 rad\/m. The results are further validated using sample data, with R2 reaching 0.67.<\/jats:p>","DOI":"10.3390\/rs15051272","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T01:59:10Z","timestamp":1677463150000},"page":"1272","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Combining Multi-Dimensional SAR Parameters to Improve RVoG Model for Coniferous Forest Height Inversion Using ALOS-2 Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Rula","family":"Sa","sequence":"first","affiliation":[{"name":"Key Laboratory of Sustainable Forest Ecosystem Management\u2014Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China"}]},{"given":"Yonghui","family":"Nei","sequence":"additional","affiliation":[{"name":"Key Laboratory of Sustainable Forest Ecosystem Management\u2014Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China"}]},{"given":"Wenyi","family":"Fan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Sustainable Forest Ecosystem Management\u2014Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Oliveira, C.P.D., Ferreira, R.L.C., da Silva, J.A.A., Lima, R.B.D., Silva, E.A., Silva, A.F.D., Lucena, J.D.S.D., dos Santos, N.A.T., Lopes, I.J.C., and Pessoa, M.M.D.L. (2021). Modeling and Spatialization of Biomass and Carbon Stock Using LiDAR Metrics in Tropical Dry Forest. Brazil. For., 12.","DOI":"10.3390\/f12040473"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Chen, W., Zheng, Q., Xiang, H., Chen, X., and Sakai, T. (2021). Forest Canopy Height Estimation Using Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) Technology Based on Full-Polarized ALOS\/PALSAR Data. Remote Sens., 13.","DOI":"10.3390\/rs13020174"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.isprsjprs.2018.11.021","article-title":"Canopy penetration depth estimation with TanDEM-X and its compensation in temperate forests","volume":"147","author":"Schlund","year":"2019","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1080\/17538947.2014.990526","article-title":"A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems","volume":"9","author":"Lu","year":"2014","journal-title":"Int. J. Digit. Earth"},{"key":"ref_5","first-page":"2792","article-title":"Extended Three-Stage Polarimetric SAR Interferometry Algorithm by Dual-Polarization Data","volume":"54","author":"Fu","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Tan, L., and Yang, R. (2008, January 7\u201311). Investigation on Tree Height Retrieval with Polarimetric SAR Interferometry. Proceedings of the IGARSS 2008\u20142008 IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4780150"},{"key":"ref_7","first-page":"433","article-title":"Assessing the performance of indicators resulting from three-component Freeman\u2013Durden polarimetric SAR interferometry decomposition at P-and L-band in estimating tropical forest aboveground biomass","volume":"41","author":"Maghsoudi","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Berninger, A., Lohberger, S., Zhang, D., and Siegert, F. (2019). Canopy Height and Above-Ground Biomass Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data. Remote Sens., 11.","DOI":"10.3390\/rs11182105"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2352","DOI":"10.1109\/36.964971","article-title":"Single Baseline Polarimetric SAR Interferometry","volume":"39","author":"Papathanassiou","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1080\/01431161.2019.1646936","article-title":"A new algorithm for forest height estimation based on the varied extinction random volume over ground (VERVoG) model using PolInSAR data","volume":"41","author":"Managhebi","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Managhebi, T., Maghsoudi, Y., and Valadan Zoej, M.J. (2018). Four-Stage Inversion Algorithm for Forest Height Estimation Using Repeat Pass Polarimetric SAR Interferometry Data. Remote Sens., 10.","DOI":"10.3390\/rs10081174"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1049\/ip-rsn:20030449","article-title":"Three-stage inversion process for polarimetric SAR interferometry. Radar, Sonar and Navigation","volume":"150","author":"Cloude","year":"2003","journal-title":"IEE Proc.-Radar Sonar Navig."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1214","DOI":"10.1109\/LGRS.2018.2830744","article-title":"A Volume Optimization Method to Improve the Three-Stage Inversion Algorithm for Forest Height Estimation Using PolInSAR Data","volume":"15","author":"Managhebi","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"4752","DOI":"10.1109\/TGRS.2015.2409066","article-title":"Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation","volume":"53","author":"Lavalle","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Papathanassiou, K., Kugler, F., Lee, S., Marotti, L., and Hajnsek, I. (2008, January 26\u201330). Recent Advances in Polarimetric SAR Interferometry for Forest Parameter Estimation. Proceedings of the 2008 IEEE Radar Conference, Rome, Italy.","DOI":"10.1109\/RADAR.2008.4720870"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Lavalle, M., Simard, M., Pottier, E., and Solimini, D. (2010, January 25\u201330). PolinSAR forestry applications improved by modeling height dependent temporal decorrelation. Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5651313"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"5639","DOI":"10.3390\/rs70505639","article-title":"An Automatic Mosaicking Algorithm for the Generation of a Large-Scale Forest Height Map Using Spaceborne Repeat-Pass InSAR Correlation Magnitude","volume":"7","author":"Lei","year":"2015","journal-title":"Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2887","DOI":"10.1016\/j.rse.2010.03.017","article-title":"A survey of temporal decorrelation from spaceborne L-Band repeat-pass InSAR","volume":"115","author":"Ahmed","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"5294","DOI":"10.1109\/TGRS.2015.2420996","article-title":"Forest Height Estimation by Means of Pol-InSAR Data Inversion: The Role of the Vertical Wavenumber","volume":"53","author":"Kugler","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Du, K., Lin, H., Wang, G., Jiangping, L., Li, J., and Liu, Z. (2018, January 18\u201320). The Impact of Vertical Wavenumber on Forest Height Inversion by PolInSAR. Proceedings of the 2018 Fifth International Workshop on Earth Observation and Remote Sensing Applications (EORSA), Xi\u2019an, China.","DOI":"10.1109\/EORSA.2018.8598597"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1218","DOI":"10.1109\/LGRS.2017.2703628","article-title":"Combination of PolInSAR and LiDAR techniques for forest height estimation","volume":"14","author":"Fu","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1109\/LGRS.2018.2808945","article-title":"An Improved Three-Stage Inversion Algorithm in Forest Height Estimation Using Single-Baseline Polarimetric SAR Interferometry Data","volume":"15","author":"Managhebi","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1109\/TGRS.2009.2032538","article-title":"Forest modeling for height inversion using single-baseline InSAR\/Pol-InSAR data","volume":"48","author":"Garestier","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.rse.2006.11.014","article-title":"Forest canopy height and carbon estimation at Monks Wood National Nature Reserve, UK, using dual-wavelength SAR interferometry","volume":"108","author":"Balzter","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.rse.2018.11.027","article-title":"Biomass estimation in dense tropical forest using multiple information from single-baseline P-band PolInSAR data","volume":"221","author":"Liao","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2684","DOI":"10.1080\/01431161.2019.1694726","article-title":"Forest height estimation based on the RVoG inversion model and the PolInSAR decomposition technique","volume":"41","author":"Aghabalaei","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Yamada, H., Yamaguchi, Y., and Sato, R. (2008, January 7\u201311). Polarimetric Scattering Model Decomposition for Pol-InSAR Data. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4779725"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"026022","DOI":"10.1117\/1.JRS.11.026022","article-title":"Performance of PolSAR backscatter and PolInSAR coherence for scattering characterization of forest vegetation using single pass X-band spaceborne synthetic aperture radar data","volume":"11","author":"Joshi","year":"2017","journal-title":"J. Appl. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1109\/TGRS.2009.2024304","article-title":"Applying the Freeman\u2013Durden Decomposition Concept to Polarimetric SAR Interferometry","volume":"48","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1109\/TGRS.2012.2236098","article-title":"Reducing Ionospheric Effects in InSAR Data Using Accurate Coregistration","volume":"52","author":"Chen","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"5765","DOI":"10.1109\/TGRS.2016.2572166","article-title":"Coherent Change Detection Using InSAR Temporal Decorrelation Model: A Case Study for Volcanic Ash Detection","volume":"54","author":"Jung","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1109\/5.838084","article-title":"Synthetic Aperture Radar Interferometry","volume":"88","author":"Rosen","year":"2000","journal-title":"Proc. IEEE"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.rse.2018.03.033","article-title":"The impacts of spatial baseline on forest canopy height model and digital terrain model retrieval using P-band PolInSAR data","volume":"210","author":"Liao","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1007\/978-3-319-97816-1_43","article-title":"Assess the Effects of Wind on Forest Parameters Inversion by Using Pol-InSAR Applications","volume":"Volume 522","author":"Tahraoui","year":"2019","journal-title":"Advanced Control Engineering Methods in Electrical Engineering Systems"},{"key":"ref_35","first-page":"100462","article-title":"Above-ground biomass estimation of Indian tropical forests using X band Pol-InSAR and Random Forest","volume":"21","author":"Yadav","year":"2021","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"10252","DOI":"10.3390\/rs61110252","article-title":"Estimation of Forest Height Using Spaceborne Repeat-Pass L-Band InSAR Correlation Magnitude over the US State of Maine","volume":"6","author":"Lei","year":"2014","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Mao, Y., Michel, O., Yu, Y., Fan, W., Sui, A., Liu, Z., and Wu, G. (2021). Retrieval of Boreal Forest Heights Using an Improved Random Volume over Ground (RVoG) Model Based on Repeat-Pass Spaceborne Polarimetric SAR Interferometry: The Case Study of Saihanba, China. Remote Sens., 13.","DOI":"10.3390\/rs13214306"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"3831","DOI":"10.1109\/TGRS.2012.2185803","article-title":"LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band","volume":"50","author":"Praks","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3608","DOI":"10.1109\/JSTARS.2015.2431646","article-title":"TanDEM-X Pol-InSAR Inversion for Mangrove Canopy Height Estimation","volume":"8","author":"Lee","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2005RS003436","article-title":"Polarization coherence tomography","volume":"41","author":"Cloude","year":"2006","journal-title":"Radio Sci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.rse.2006.09.036","article-title":"Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data","volume":"112","author":"Sun","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"10415","DOI":"10.1109\/JSTARS.2021.3116443","article-title":"Improving Forest Height-to-Biomass Allometry with Structure Information: A TanDEM-X Study","volume":"14","author":"Choi","year":"2021","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2897","DOI":"10.1016\/j.rse.2010.08.028","article-title":"Pine forest investigation using high resolution P-band Pol-InSAR data","volume":"115","author":"Garestier","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1559","DOI":"10.3390\/rs4061559","article-title":"Three-Component Power Decomposition for Polarimetric SAR Data Based on Adaptive Volume Scatter Modeling","volume":"4","author":"Cui","year":"2012","journal-title":"Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Jiangping, L., Lin, H., Wang, G., Sun, H., and Yan, E. (2019). Mapping Growing Stem Volume of Chinese Fir Plantation Using a Saturation-based Multivariate Method and Quad-polarimetric SAR Images. Remote Sens., 11.","DOI":"10.3390\/rs11161872"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Wang, C., Wang, L., Fu, H., Xie, Q., and Zhu, J. (2016). The Impact of Forest Density on Forest Height Inversion Modeling from Polarimetric InSAR Data. Remote Sens., 8.","DOI":"10.3390\/rs8040291"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.1109\/36.718859","article-title":"Polarimetric SAR interferometry","volume":"36","author":"Cloude","year":"1998","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2264","DOI":"10.1109\/TGRS.2003.817188","article-title":"Scene characterization using subaperture polarimetric SAR data","volume":"41","author":"Reigber","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_49","unstructured":"Ferro-Famil, L., and Neumann, M. (2008, January 2\u20135). Recent Advances in the Derivation of PolInSAR Statistics: Study and Application. Proceedings of the 7th European Conference on Synthetic Aperture Radar, Friedrichshafen, Germany."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1086","DOI":"10.1109\/TGRS.2009.2031101","article-title":"Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data","volume":"48","author":"Neumann","year":"2010","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2958","DOI":"10.1109\/TGRS.2017.2787704","article-title":"Modeling Interferometric SAR Features of Forest Canopies Over Mountainous Area at Landscape Scales","volume":"56","author":"Ni","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"3172","DOI":"10.1109\/TGRS.2007.904921","article-title":"Investigating Attenuation, Scattering Phase Center, and Total Height Using Simulated Interferometric SAR Images of Forested Areas","volume":"45","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.rse.2005.10.019","article-title":"Empirical relationships between AIRSAR backscatter and LiDAR-derived forest biomass, Queensland","volume":"100","author":"Lucas","year":"2006","journal-title":"Australia. Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1109\/36.79433","article-title":"Estimating splash pine biomass using radar backscatter","volume":"29","author":"Hussin","year":"1991","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1109\/TGRS.1995.8746014","article-title":"Repeat-pass SAR interferometry over forested terrain","volume":"33","author":"Hagberg","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1109\/TGRS.2005.846868","article-title":"Integration of optical and radar classifications for mapping pasture type in Western Australia","volume":"43","author":"Hill","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Parache, H., Mayer, T., Herndon, K., Flores-Anderson, A., Lei, Y., Nguyen, Q., Kunlamai, T., and Griffin, R. (2021). Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data. Remote Sens., 13.","DOI":"10.3390\/rs13224516"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"3754","DOI":"10.1109\/TGRS.2019.2956989","article-title":"Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms","volume":"58","author":"Shiroma","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.rse.2019.04.017","article-title":"Spaceborne tomography of multi-species Indian tropical forests","volume":"229","author":"Khati","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Fu, H., Wang, C., Jian-Jun, Z., Xie, Q., and Zhang, B. (2016). Estimation of pine forest height and underlying DEM using multi-baseline P-band PolInSAR data. Remote Sens., 8.","DOI":"10.3390\/rs8100820"},{"key":"ref_61","first-page":"102483","article-title":"An improved dual-baseline PolInSAR method for forest height inversion","volume":"103","author":"Shi","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/5\/1272\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:42:25Z","timestamp":1760121745000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/5\/1272"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,25]]},"references-count":61,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["rs15051272"],"URL":"https:\/\/doi.org\/10.3390\/rs15051272","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,25]]}}}