{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T07:16:48Z","timestamp":1773818208828,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,1,9]],"date-time":"2018-01-09T00:00:00Z","timestamp":1515456000000},"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>This research is related to the eco-hydrological problems of the herbaceous wetland drying and biodiversity loss in the floodplain lakes of the Middle Basin of the Biebrza River (Poland). An experiment was set up, with its main goals as follows: (i) mapping the vegetation types and the temporarily or permanently flooded areas, and (ii) comparing the usefulness of the C-band Sentinel-1A (S1A) and X-band TerraSAR-X\/TanDEM-X (TSX\/TDX) for mapping purposes. The S1A imagery was acquired on a regular basis using the dual polarization VV\/VH and the Interferometric Wide Swath Mode. The TSX\/TDX data were acquired in quad-pol, a fully polarimetric mode, during the Science Phase. The paper addresses the following aspects: (i) wetland mapping with the S1A multi-temporal series; (ii) wetland mapping with the fully polarimetric TSX\/TDX data; (iii) comparing the wetland mapping using dual polarization TSX\/TDX subsets, that is, the HH-HV, HH-VV and VV-VH; (iv) comparing wetland mapping using the S1A and TSX\/TDX data based on the same polarization (VV-VH); (v) studying the suitability of the Shannon Entropy for wetland mapping; and (vi) assessing the contribution of interferometric coherence for wetland classification. Though the experimental results show the main limitations of the S1A dataset, they also highlight the good accuracy that can be achieved using the TSX\/TDX data, especially those taken in fully polarimetric mode. Some practical outcomes significant for the study area management using SAR were also described.<\/jats:p>","DOI":"10.3390\/rs10010078","type":"journal-article","created":{"date-parts":[[2018,1,9]],"date-time":"2018-01-09T14:00:08Z","timestamp":1515506408000},"page":"78","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Wetland Mapping Using SAR Data from the Sentinel-1A and TanDEM-X Missions: A Comparative Study in the Biebrza Floodplain (Poland)"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9932-1810","authenticated-orcid":false,"given":"Magdalena","family":"Mleczko","sequence":"first","affiliation":[{"name":"Institute of Geodesy, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 1, 10-719 Olsztyn, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0929-4300","authenticated-orcid":false,"given":"Marek","family":"Mr\u00f3z","sequence":"additional","affiliation":[{"name":"Institute of Geodesy, University of Warmia and Mazury in Olsztyn, ul. Oczapowskiego 1, 10-719 Olsztyn, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,9]]},"reference":[{"key":"ref_1","unstructured":"Brisco, B. (2015). Mapping and Monitoring Surface Water and Wetlands with Synthetic Aperture Radar. Remote Sensing of Wetlands: Applications and Advances, CRC Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1605","DOI":"10.3390\/rs6021605","article-title":"Monitoring wetlands ecosystems using ALOS PALSAR (L-Band, HV) supplemented by optical data: A case study of Biebrza Wetlands in Northeast Poland","volume":"6","author":"Budzynska","year":"2014","journal-title":"Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Dabrowska-Zielinska, K., Budzynska, M., Tomaszewska, M., Bartold, M., and Gatkowska, M. (2015, January 26\u201331). The study of multifrequency microwave satellite images for vegetation biomass and humidity of the area under Ramsar convention. Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Milan, Italy.","DOI":"10.1109\/IGARSS.2015.7327005"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Schlaffer, S., Chini, M., Dettmering, D., and Wagner, W. (2016). Mapping wetlands in Zambia using seasonal backscatter signatures derived from ENVISAT ASAR time series. Remote Sens., 8.","DOI":"10.3390\/rs8050402"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"240","DOI":"10.5589\/m12-017","article-title":"One year wetland survey investigations from quad-pol RADARSAT-2 time-series SAR images","volume":"38","author":"Marechal","year":"2012","journal-title":"Can. J. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3039","DOI":"10.1109\/TGRS.2013.2268853","article-title":"Double-bounce component in cross-polarimetric SAR from a new scattering target decomposition","volume":"52","author":"Hong","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5210","DOI":"10.1109\/TGRS.2012.2231418","article-title":"Interferometric Coherence Analysis of the EvergladesWetlands, South Florida","volume":"51","author":"Kim","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/TGRS.2015.2482001","article-title":"Use of SAR data for detecting floodwater in urban and agricultural areas: The role of the interferometric coherence","volume":"54","author":"Pulvirenti","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Cazals, C., Rapinel, S., Frison, P.-L., Bonis, A., Mercier, G., Mallet, C., Corgne, S., and Rudant, J.-P. (2016). Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images. Remote Sens., 8.","DOI":"10.3390\/rs8070570"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1109\/TGRS.2006.886176","article-title":"Target scattering decomposition in terms of roll-invariant target parameters","volume":"45","author":"Touzi","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1080\/014311601750038857","article-title":"Evaluation of C-band SAR data for wetlands mapping","volume":"22","author":"Baghdadi","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1899","DOI":"10.1007\/s11069-015-1809-4","article-title":"Change detection in floodable areas of the Danube delta using radar images","volume":"78","author":"Niculescu","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_13","unstructured":"(2017, October 31). Biebrza National Park. Available online: https:\/\/www.biebrza.org.pl\/lang,2."},{"key":"ref_14","unstructured":"(2017, October 31). Ramsar the List of Wetlands of International Importance. Available online: http:\/\/www.ramsar.org\/pdf\/sitelist.pdf."},{"key":"ref_15","unstructured":"Hajnsek, I., Busche, T., Krieger, G., Zink, M., Schulze, D., and Moreira, A. (2014). Tandem-X Ground Segment, Announcement of Opportunity: Tandem-X Science Phase, Microwaves and Radar Institute of the German Aerospace Centre (DLR)."},{"key":"ref_16","unstructured":"Nuno, M., and Meadows, P.J. (2015). Radiometric Calibration of S-1 Level-1 Products Generated by the S-1 IPF, European Space Agency. Tech. Note."},{"key":"ref_17","unstructured":"Infoterra an EADS Astrium Company (2008). Radiometric Calibration of TerraSAR-X Data, Beta Naught and Sigma Naught Coefficient Calculation, Infoterra an EADS Astrium Company."},{"key":"ref_18","unstructured":"De Grandi, G.F., Leysen, M., Lee, J.S., and Schuler, D. (1997, January 3\u20138). Radar reflectivity estimation using multiple SAR scenes of the same target: Technique and applications. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Singapore."},{"key":"ref_19","unstructured":"Rosen, P.A., Hensley, S., Gurrola, E., Rogez, F., Chan, S., Martin, J., and Rodriguez, E. (2001, January 9\u201313). SRTM C-band topographic data: Quality assessments and calibration activities. Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), Sydney, NSW, Australia."},{"key":"ref_20","unstructured":"Marschalk, U., Roth, A., Eineder, M., and Suchandt, S. (2004, January 20\u201324). Comparison of DEMs derived from SRTM\/X- and C-band. Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium (IGARSS\u201904), Anchorage, AK, USA."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Hanssen, R.F. (2001). Radar Interferometry\u2014Data Interpretation and Error Analysis, Springer.","DOI":"10.1007\/0-306-47633-9"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.isprsjprs.2015.05.001","article-title":"TerraSAR-X dual-pol time-series for mapping of wetland vegetation","volume":"107","author":"Betbeder","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_23","unstructured":"Lee, J.-S., and Pottier, E. (2009). Polarimetric Radar Imaging: From Basics to Applications, CRC Press."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Cloude, S. (2009). Polarisation: Applications in Remote Sensing, Oxford University Press.","DOI":"10.1093\/acprof:oso\/9780199569731.001.0001"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Pottier, E., and Ferro-Famil, L. (2012, January 22\u201327). PolSARPro V5.0: An ESA educational toolbox used for self-education in the field of POLSAR and POL-INSAR data analysis. Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6351925"},{"key":"ref_26","unstructured":"(2017, October 31). Sarmap. Available online: http:\/\/www.sarmap.ch\/."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Simonetto, E., and Follin, J.M. (2012). An overview on interferometric SAR software and a comparison between DORIS and SARSCAPE Packages. Geospatial Free and Open Source Software in the 21st Century, Springer. Lecture Notes in Geoinformation and Cartography.","DOI":"10.1007\/978-3-642-10595-1_7"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/S0146-664X(81)80005-6","article-title":"Sen Speckle analysis and smoothing of synthetic aperture radar images","volume":"17","author":"Lee","year":"1981","journal-title":"Comput. Graph. Image Process."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Richards, J.A. (2009). Remote Sensing with Imaging Radar, Springer.","DOI":"10.1007\/978-3-642-02020-9"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1109\/JPROC.2009.2017107","article-title":"A characterization of shannon entropy and bhattacharyya measure of contrast in polarimetric and interferometric SAR image","volume":"97","author":"Morio","year":"2009","journal-title":"Proc. IEEE"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/0022-247X(89)90335-1","article-title":"Measures of distance between probability distributions","volume":"138","author":"Chung","year":"1989","journal-title":"J. Math. Anal. Appl."},{"key":"ref_32","first-page":"27","article-title":"Separability measures of target classes for polarimetric synthetic aperture radar imagery","volume":"12","author":"Lee","year":"2012","journal-title":"Asian J. Geoinform."},{"key":"ref_33","unstructured":"Tou, J.T., and Gonzalez, R.C. (1974). Pattern Recognition Principles, Addison-Wesley Publishing Company."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Lardeux, C., Frison, P.L., Rudant, J.P., Souyris, J.C., Tison, C., and Stoll, B. (2006). Classification of fully polarimetric SAR data for land use cartography. ISPRS J. Photogramm. Remote Sens., 23\u201327.","DOI":"10.1109\/IGARSS.2006.131"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"220","DOI":"10.5589\/m11-029","article-title":"Classification of polarimetric SAR images using Support Vector Machines","volume":"37","author":"Entezari","year":"2011","journal-title":"Can. J. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1109\/LGRS.2016.2628406","article-title":"GA-SVM Algorithm for Improving Land-Cover Classification Using SAR and Optical Remote Sensing Data","volume":"14","author":"Sukawattanavijit","year":"2017","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1109\/TGRS.2004.842022","article-title":"Partially supervised classification of remote sensing images through SVM-based probability density estimation","volume":"43","author":"Mantero","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Prasad, S., and Thenkabail, P.D. (2015). Image classification methods in land cover and land use. Remotely Sensed Data Characterization, Classification, and Accuracies, CRC Press.","DOI":"10.1201\/b19294"},{"key":"ref_39","first-page":"421","article-title":"Correct formulation of the Kappa coefficient of agreement","volume":"53","author":"Hudson","year":"1987","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_40","first-page":"397","article-title":"Accuracy assessment: A user\u2019s perspective","volume":"52","author":"Story","year":"1986","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_41","first-page":"1299","article-title":"Classification accuracy: A user approach","volume":"48","author":"Aronoff","year":"1982","journal-title":"Photogramm. Eng. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/78\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:50:35Z","timestamp":1760194235000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/78"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,9]]},"references-count":41,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,1]]}},"alternative-id":["rs10010078"],"URL":"https:\/\/doi.org\/10.3390\/rs10010078","relation":{"has-preprint":[{"id-type":"doi","id":"10.20944\/preprints201711.0003.v1","asserted-by":"object"}]},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,9]]}}}