{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T18:55:16Z","timestamp":1769626516478,"version":"3.49.0"},"reference-count":34,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2022,9,9]],"date-time":"2022-09-09T00:00:00Z","timestamp":1662681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A new algorithm for forest height estimation based on dual polarimetric interferometric SAR data is presented in this study. The main objective is to consider the efficiency of the dual-polarization data compared to the full polarimetric images with respect to forest height retrieval. Accordingly, the forest height estimation based on the random volume over the ground model is examined using a geometrical procedure named the three-stage method. An exhaustive search polarization optimization technique is also applied to improve the results by employing the efficiency of all the polarization bases based on the four-dimensional lexicographic PolInSAR vector. The repeat-pass experimental SAR (ESAR) images, which include both L- and P-band full polarimetric data, are employed for the accuracy assessment of the dual PolInSAR data and the newly proposed method for forest height estimation. The experimental results on the L-band PolInSAR data show the ability of the dual PolInSAR data for forest height estimation with an average root mean square error (RMSE) of 4.97 m against Lidar data based on the conventional three-stage method. Additionally, the proposed method results in an accuracy of 2.95 m for forest height estimation, indicating its high potential for tree height retrieval.<\/jats:p>","DOI":"10.3390\/rs14184503","type":"journal-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T04:05:41Z","timestamp":1663041941000},"page":"4503","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Forest Height Retrieval Based on the Dual PolInSAR Images"],"prefix":"10.3390","volume":"14","author":[{"given":"Tayebe","family":"Managhebi","sequence":"first","affiliation":[{"name":"Iranian Space Research Institute, Tehran 14597-77511, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2731-9057","authenticated-orcid":false,"given":"Yasser","family":"Maghsoudi","sequence":"additional","affiliation":[{"name":"Faculty of Geodesy and Geomatics, K. N. Toosi University of Technology, Tehran 19667-15433, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9495-4010","authenticated-orcid":false,"given":"Meisam","family":"Amani","sequence":"additional","affiliation":[{"name":"Wood Environment & Infrastructure Solutions, Inc., Ottawa, ON K2E 7L5, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/s10584-004-3155-5","article-title":"Relating radar remote sensing of biomass to modelling of forest carbon budgets","volume":"67","author":"Quegan","year":"2004","journal-title":"Clim. Chang."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1016\/j.foreco.2011.09.042","article-title":"Allometric biomass equations for young broadleaved trees in plantations in Romania","volume":"264","author":"Blujdea","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1038\/s41477-020-00815-8","article-title":"Dynamic allometric scaling of tree biomass and size","volume":"7","author":"Zhou","year":"2021","journal-title":"Nat. Plants"},{"key":"ref_4","unstructured":"Mette, T., Papathanassiou, K., Hajnsek, I., Pretzsch, H., and Biber, P. (2004, January 20\u201324). Applying a common allometric equation to convert forest height from Pol-InSAR data to forest biomass. Proceedings of the IGARSS 2004, 2004 IEEE International Geoscience and Remote Sensing Symposium, Anchorage, AK, USA."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2792","DOI":"10.1109\/TGRS.2015.2505707","article-title":"Extended three-stage polarimetric SAR interferometry algorithm by dual-polarization data","volume":"54","author":"Wenxue","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1109\/PROC.1974.9516","article-title":"Synthetic interferometer radar for topographic mapping","volume":"62","author":"Graham","year":"1974","journal-title":"Proc. IEEE"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4993","DOI":"10.1029\/JB091iB05p04993","article-title":"Topographic mapping from interferometric synthetic aperture radar observations","volume":"91","author":"Zebker","year":"1986","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_8","unstructured":"Cloude, S.R. (2005). Pol-InSAR training course. Radio Sci., Available online: http:\/\/sar.kangwon.ac.kr\/polsar\/Tutorial\/Part2_PolarimetricSARInterferometry\/1_Pol-InSAR_Training_Course.pdf."},{"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":"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":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","first-page":"100552","article-title":"Forest height estimation by means of Compact PolInSAR data","volume":"23","author":"Aghabalaei","year":"2021","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Neumann, M., Saatchi, S.S., Ulander, L.M., and Fransson, J.E. (2011, January 24\u201329). Parametric and non-parametric forest biomass estimation from PolInSAR data. Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada.","DOI":"10.1109\/IGARSS.2011.6049154"},{"key":"ref_13","first-page":"3937","article-title":"Model-based analysis of the influence of forest structures on the scattering phase center at L-band","volume":"52","author":"Ni","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_14","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_15","doi-asserted-by":"crossref","first-page":"7283","DOI":"10.1109\/TGRS.2020.2981756","article-title":"Estimation of RVoG scene parameters by means of PolInSAR with TanDEM-X data: Effect of the double-bounce contribution","volume":"58","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_16","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_17","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1049\/ip-rsn:20030449","article-title":"Three-stage inversion process for polarimetric SAR interferometry","volume":"150","author":"Cloude","year":"2003","journal-title":"IEE Proc.-Radar Sonar Navig."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Xie, Q., Zhu, J., Wang, C., Fu, H., Lopez-Sanchez, J.M., and Ballester-Berman, J.D. (2017). A modified dual-baseline PolInSAR method for forest height estimation. Remote Sens., 9.","DOI":"10.3390\/rs9080819"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1109\/LGRS.2019.2895869","article-title":"Forest height estimation using PolInSAR optimal normal matrix constraint and cross-iteration method","volume":"16","author":"Wu","year":"2019","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_20","unstructured":"Papathanassiou, K.P., and Cloude, S.R. (2003, January 21\u201315). The effect of temporal decorrelation on the inversion of forest parameters from Pol-InSAR data. Proceedings of the International Geoscience and Remote Sensing Symposium, Toulouse, France."},{"key":"ref_21","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":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","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_23","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_24","unstructured":"Kugler, F., Hajnsek, I., and Papathanassiou, K. (2012, January 22\u201327). Dual Pol-InSAR forest height estimation by means of TanDEM-X data. Proceedings of the IEEE international Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany."},{"key":"ref_25","unstructured":"Fu, W., Guo, H., Xie, C., Lu, Y., and Li, X. (2013, January 22\u201326). Forest height inversion using dual-pol polarimetric SAR interferometry. Proceedings of the 35th International Symposium on Remote Sensing of Environment (ISRSE35), Beijing, China. IOP Conference Series: Earth and Environmental Science."},{"key":"ref_26","unstructured":"Hajnsek, I., Scheiber, R., Lee, S., Ulander, L., Gustavsson, A., Tebaldini, S., and Monte Guarnieri, A. (2008). BIOSAR 2007: Technical Assistance for the Development of Airborne SAR and Geophysical Measurements during the BioSAR 2007 Experiment, ESA-ESTEC."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.1029\/96RS01763","article-title":"Vegetation characteristics and underlying topography from interferometric radar","volume":"31","author":"Treuhaft","year":"1996","journal-title":"Radio Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1029\/1999RS900108","article-title":"Vertical structure of vegetated land surfaces from interferometric and polarimetric radar","volume":"35","author":"Treuhaft","year":"2000","journal-title":"Radio Sci."},{"key":"ref_29","unstructured":"Flynn, T., Tabb, M., and Carande, R. (2002, January 24\u201328). Coherence region shape extraction for vegetation parameter estimation in polarimetric SAR interferometry. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toronto, ON, Canada."},{"key":"ref_30","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_31","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1109\/36.485127","article-title":"A review of target decomposition theorems in radar polarimetry","volume":"34","author":"Cloude","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1049\/el.2012.4467","article-title":"S-RVoG model for forest parameters inversion over underlying topography","volume":"49","author":"Lu","year":"2013","journal-title":"Electron. Lett."},{"key":"ref_33","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_34","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":"2020","journal-title":"Int. J. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/18\/4503\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:28:17Z","timestamp":1760142497000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/18\/4503"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,9]]},"references-count":34,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2022,9]]}},"alternative-id":["rs14184503"],"URL":"https:\/\/doi.org\/10.3390\/rs14184503","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,9]]}}}