[Butera, M.K., 1983. Remote sensing of wetlands. IEEE Transactions on Geoscience and Remote Sensing 3, 383–392.10.1109/TGRS.1983.350471]Search in Google Scholar
[Chavez, P.S., Sides, S.C. & Anderson, J.A., 1991. Comparison of 3 different methods to merge multiresolution and multispectral data-Landsat tm and spot panchromatic. Photogrammetric Engineering and Remote Sensing 57, 295–303.]Search in Google Scholar
[Dong, Z.Y., Wang, Z.M., Liu, D.W. & Song, K.S., 2014. Mapping wetland areas using landsat-derived NDVI and LSWI: a case study of west songnen plain, Northeast China. Journal of the Indian Society of Remote Sensing 42, 569–576.10.1007/s12524-013-0357-1]Search in Google Scholar
[Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., Martimort, P., Meygret, A., Spoto, F., Sy, O., Marchese, F. & Bargellini, P., 2012. Sentinel-2: ESA’s optical high-resolution mission for GMES operational services. Remote Sensing of Environment 120, 25–36.10.1016/j.rse.2011.11.026]Search in Google Scholar
[Dvorett, D., Davis, C. & Papes, M., 2016. Mapping and hydrologic attribution of temporary wetlands using recurrent Landsat imagery. Wetlands 36, 431–443.10.1007/s13157-016-0752-9]Search in Google Scholar
[Gao, B.C., 1996. NDWI – A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58, 257–266.10.1016/S0034-4257(96)00067-3]Search in Google Scholar
[Guyot, G., 1989. Signatures spectrales des surfaces naturelles. Télédétection satellitaire 5, Paradigme, Caen, 178 pp.]Search in Google Scholar
[Huang, C., Chen, Y. & Wu, J.P., 2014a. DEM-based modification of pixel-swapping algorithm for enhancing floodplain inundation mapping. International Journal of Remote Sensing 35, 365–381.10.1080/01431161.2013.871084]Search in Google Scholar
[Huang, C.Q., Peng, Y., Lang, M.G., Yeo, I.Y. & McCarty, G., 2014b. Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data. Remote Sensing of Environment 141, 231–242.10.1016/j.rse.2013.10.020]Search in Google Scholar
[Huete, A., Liu, H., Batchily, K.V. & Van Leeuwen, W., 1997. A comparison of vegetation indices over a global set of TM images for EOS-MODIS. Remote Sensing of Environment 59, 440–451.10.1016/S0034-4257(96)00112-5]Search in Google Scholar
[Islam, M. & Sado, K., 2006. Analyses of ASTER and spectroradiometer data with in situ measurements for turbidity and transparency study of lake Abashri. International Journal of Geoinformatics 2, 31–45.]Search in Google Scholar
[Janica, R., Frankowski, Z., Jóźwiak, K., Kocyła, J., Majer, E., Sokołowska, M., Solovey, T., Woźnicka, M., Honczaruk, M., Kucharska, M. & Majer, K., 2017. Metodyka opracowania wstępnej oceny ryzyka powodziowego (WORP) w zakresie powodzi od wód podziemnych [Methodology for the development of preliminary flood risk assessment (WORP) for flooding from groundwater]. PIG–PIB, Warszawal, 56 pp.]Search in Google Scholar
[Jensen, J.R., 1996. Introductory digital image processing, a remote sensing perspective. Prentice Hall, 316 pp.]Search in Google Scholar
[Kayastha, N., Thomas, V., Galbraith, J. & Banskota, A., 2012. Monitoring wetland change using inter-annual Landsat time-series data. Wetlands 32, 1149–1162.10.1007/s13157-012-0345-1]Search in Google Scholar
[Kopeć, D., Michalska-Hejduk, D. & Krogulec, E., 2013. The relationship between vegetation and groundwater levels as an indicator of spontaneous wetland restoration. Ecolog Engineering 57, 242–251.10.1016/j.ecoleng.2013.04.028]Search in Google Scholar
[Krogulec, E., 2004. Ocena podatności wód podziemnych na zanieczyszczenia w dolinie rzecznej na podstawie przesłanek hydrodynamicznych [Vulnerability assessment of groundwater pollution in the river valley on the basis of hydrodynamic evidence]. Uniwersytet Warszawski, Warszawa, 177 pp.]Search in Google Scholar
[Krogulec, E., 2011. Charakterystyka uwarunkowań hydroekologicznych [Characteristics of hydroecological conditions]. [In:] T. Okruszko, W. Mioduszewski & L. Kucharski (Eds): Ochrona i renaturyzacja mokradeł Kampinoskiego Parku Narodowego [Protection and restoration of wetlands in the Kampinos National Park]. Szkoła Główna Gospodarstwa Wiejskiego, Warszawa, 73–92.]Search in Google Scholar
[Lacaux, J.P., Tourre, Y.M., Vignolles, C., Ndione, J.A. & Lafaye, M., 2007. Classification of ponds from highspatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal. Remote Sensing of Environment 106, 66–74.10.1016/j.rse.2006.07.012]Search in Google Scholar
[Li, J.H. & Chen, W.J., 2005. A rule-based method for mapping Canada’s wetlands using optical, radar and DEM data. International Journal of Remote Sensing 26, 5051–5069.10.1080/01431160500166516]Search in Google Scholar
[Li, W.B., Du, Z.Q., Ling, F., Zhou, D.B., Wang, H.L., Gui, Y.M., Sun, B.Y. & Zhang, X.M., 2013. A comparison of land surface water mapping using the normalized difference water index from TM, ETM plus and ALI. Remote Sensing 5, 5530–5549.10.3390/rs5115530]Search in Google Scholar
[Li, W., Qin, Y., Sun, Y., Huang, H., Ling, F., Tian, L. & Ding, Y., 2016. Estimating the relationship between dam water level and surface water area for the Danjiangkou Reservoir using Landsat remote sensing images. Remote Sensing Letters 7, 121–130.10.1080/2150704X.2015.1117151]Search in Google Scholar
[Lin, K.C., 2005. On improvement of the computation speed of Otsu’s image thresholding. Journal of Electronic Imaging 14, 023011.10.1117/1.1902997]Search in Google Scholar
[Martinez, J. & Le Toan, T., 2007. Mapping of flood dynamics and spatial distribution of vegetation in the Amazon Floodplain using multitemporal SAR data. Remote Sensing of Environment 108, 209−223.10.1016/j.rse.2006.11.012]Search in Google Scholar
[McFeeters, S.K., 1996. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 17, 1425–1432.10.1080/01431169608948714]Search in Google Scholar
[Melack, J.M. & Hess, L.L., 2010. Remote sensing of the distribution and extent of wetlands in the Amazon basin Amazonian floodplain forests. Springer, pp. 43–59.10.1007/978-90-481-8725-6_3]Search in Google Scholar
[Michalska-Hejduk, D., 2001. Stan obecny i kierunki zmian roślinności nieleśnej Kampinoskiego Parku Narodowego [Current state and directions of change of non-forest vegetation of the Kampinos National Park]. Monographia Botanica 89, 1–134.10.5586/mb.2001.001]Search in Google Scholar
[Monserud, R.A. & Leemans, R., 1992. Comparing global vegetation maps with the Kappa statistic. Ecological Modelling 62, 275–293.10.1016/0304-3800(92)90003-W]Search in Google Scholar
[Morandeira, N.S., Grings, F., Facchinetti, C. & Kandus, P., 2016. Mapping plant functional types in floodplain wetlands: an analysis of C-Band polarimetric SAR data from RADARSAT-2. Remote Sensing 8, 174.10.3390/rs8030174]Search in Google Scholar
[Moser, L., Schmitt, A., Wendleder, A. & Roth, A., 2016. Monitoring of the lac Bam wetland extent using dual-polarized X-band SAR data. Remote Sensing 8, 302.10.3390/rs8040302]Search in Google Scholar
[Mwita, E., Menz, G., Misana, S., Becker, M., Kisanga, D. & Boehme, B., 2013. Mapping small wetlands of Kenya and Tanzania using remote sensing techniques. International Journal of Applied Earth Observation and Geoinformation 21, 173–183.10.1016/j.jag.2012.08.010]Search in Google Scholar
[Nandi, I., Srivastava, P.K. & Shah, K., 2017. Floodplain mapping through support vector machine and optical/infrared images from Landsat 8 OLI/TIRS sensors: case study from Varanasi. Water Resources Management 31, 1157–1171.10.1007/s11269-017-1568-y]Search in Google Scholar
[Napiórkowska, M., 2014. Monitoring wetlands ecosystems using ALOS PALSAR (L-Band, HV) supplemented by optical data: a case study of Biebrza Wetlands in Northeast Poland. Remote Sensing 6, 1605–1633.10.3390/rs6021605]Search in Google Scholar
[Olszewski, A., Wierzbicki, A., Degórska, A., Ferchmin, M., Gudowicz, J., Lenartowicz, M. & Otręba, N., 2018. Raport stacji bazowej zintegrowanego monitoringu środowiska przyrodniczego „Pożary” za rok 2017 [Report of the base station of the Integrated Monitoring of Natural Environment „Pożary” for 2017]. Kampinoski Park Narodowy, Izabelin.]Search in Google Scholar
[Ramsey, E.W. & Laine, S.C., 1997. Comparison of Landsat thematic mapper and high resolution photography to identify change in complex coastal wetlands. Journal of Coastal Research 13, 281–292.]Search in Google Scholar
[Seiler, R., Schmidt, J., Diallo, O. & Csaplovics, E., 2009. Flood monitoring in a semi-arid environment using spatially high resolution radar and optical data. Journal of Environmental Management 90, 2121–2129.10.1016/j.jenvman.2007.07.03518554774]Search in Google Scholar
[Sun, F.D., Sun, W.X., Chen, J. & Gong, P., 2012. Comparison and improvement of methods for identifying waterbodies in remotely sensed imagery. International Journal of Remote Sensing 33, 6854–6875.10.1080/01431161.2012.692829]Search in Google Scholar
[White, L., Brisco, B., Dabor, M., Schmitt, A. & Pratt, A., 2015. A collection of SAR methodologies for monitoring wetlands. Remote Sensing 7, 7615–7645.10.3390/rs70607615]Search in Google Scholar
[Xu, H.Q., 2006. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 27, 3025–3033.10.1080/01431160600589179]Search in Google Scholar
[Zomer, R.J., Trabucco, A. & Ustin, S., 2009. Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing. Journal of Environmental Management 90, 2170–2177.10.1016/j.jenvman.2007.06.02818395960]Search in Google Scholar