{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T09:41:38Z","timestamp":1775209298065,"version":"3.50.1"},"reference-count":84,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T00:00:00Z","timestamp":1674691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Centre Poland","award":["2019\/33\/B\/ST10\/02975"],"award-info":[{"award-number":["2019\/33\/B\/ST10\/02975"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The vegetation of the post-mining areas is subject to constant and significant changes. Reclamation works, carried out after the cessation of mineral extraction, contribute to the intensive development of new plant species. However, secondary deformations, occurring even many years after the end of exploitation, may cause the degradation of the vegetation cover. It is, therefore, an important issue to identify changes in flora conditions and to determine whether and to what extent past mining has a negative impact on the plant cover state. The objectives of this research have been as follows: (1) analysis of the flora condition in the post-mining area in the 1989\u20132019 period, (2) identification of sites with significant changes in vegetation state, and (3) modeling of the relationship between the identified changes in vegetation and former mining activities. The research was carried out in the area of the former opencast and underground lignite mine \u201cFriendship of Nations\u2014Babina Shaft,\u201d which is located in the present-day Geopark (Western Poland), using Landsat TM\/ETM+\/OLI derived vegetation indices (NDVI, NDII, MTVI2) and GIS-based spatial regression. The results indicate a general improvement in flora condition, especially in the vicinity of post-mining waste heaps and former opencast excavations, with the exception of the northwestern part of the former mining field where the values of all of the analyzed vegetation indices have decreased. Also, four zones of statistically significant changes in the flora condition were identified. Finally, the developed GWR models demonstrate that former mining activities had a significant influence on changes in the plant cover state of the analyzed region.<\/jats:p>","DOI":"10.3390\/rs15030719","type":"journal-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T02:30:38Z","timestamp":1674786638000},"page":"719","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":29,"title":["Analysis of Post-Mining Vegetation Development Using Remote Sensing and Spatial Regression Approach: A Case Study of Former Babina Mine (Western Poland)"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4440-8070","authenticated-orcid":false,"given":"Anna","family":"Buczy\u0144ska","sequence":"first","affiliation":[{"name":"Department of Geodesy and Geoinformatics, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli Street 15, 50-421 Wroclaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2630-3459","authenticated-orcid":false,"given":"Jan","family":"Blachowski","sequence":"additional","affiliation":[{"name":"Department of Geodesy and Geoinformatics, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli Street 15, 50-421 Wroclaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9105-6020","authenticated-orcid":false,"given":"Natalia","family":"Bugajska-J\u0119draszek","sequence":"additional","affiliation":[{"name":"Department of Geodesy and Geoinformatics, Faculty of Geoengineering, Mining and Geology, Wroclaw University of Science and Technology, Na Grobli Street 15, 50-421 Wroclaw, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,26]]},"reference":[{"key":"ref_1","first-page":"52","article-title":"The impact of underground mining on the ground surface","volume":"11","author":"Kaszowska","year":"2007","journal-title":"Probl. Ecol."},{"key":"ref_2","first-page":"477","article-title":"he impact of deep lignite mining on changes in the water environment in the area of the \u201cBe\u0142chat\u00f3w\u201d mine","volume":"31","author":"Motyka","year":"2007","journal-title":"Min. Geoengin."},{"key":"ref_3","first-page":"5","article-title":"Socio-ecological effects of hard coal mining in Poland","volume":"6","author":"Bednorz","year":"2011","journal-title":"Min. Geol."},{"key":"ref_4","first-page":"1","article-title":"Environmental Impact Assessment of Surface Mining","volume":"1","year":"2011","journal-title":"J. Pol. Miner. Eng. Soc."},{"key":"ref_5","first-page":"255","article-title":"Research Areas in Post-Mining\u2014Experiences from German Hard Coal Mining","volume":"1","author":"Kretschmann","year":"2020","journal-title":"In\u017cynieria Miner."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/j.ijmst.2017.03.007","article-title":"Surface Movement above Old Coal Longwalls after Mine Closure","volume":"27","author":"Vervoort","year":"2017","journal-title":"Int. J. Min. Sci. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"207","DOI":"10.2478\/s13533-012-0175-y","article-title":"Ensemble of Ground Subsidence Hazard Maps Using Fuzzy Logic","volume":"6","author":"Park","year":"2014","journal-title":"Open Geosci."},{"key":"ref_8","first-page":"28","article-title":"Particularities of Deformation Processes Solution with GIS Application for Mining Landscape Reclamation in East Slovakia","volume":"3","year":"2020","journal-title":"J. Geogr. Cartogr."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Blachowski, J., Kope\u0107, A., Milczarek, W., and Owczarz, K. (2019). Evolution of Secondary Deformations Captured by Satellite Radar Interferometry: Case Study of an Abandoned Coal Basin in SW Poland. Sustainability, 11.","DOI":"10.3390\/su11030884"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Malinowska, A.A., Witkowski, W.T., Guzy, A., and Hejmanowski, R. (2020). Satellite-Based Monitoring and Modeling of Ground Movements Caused by Water Rebound. Remote Sens., 12.","DOI":"10.3390\/rs12111786"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"104377","DOI":"10.1016\/j.ijrmms.2020.104377","article-title":"Predicting of Land Surface Uplift Caused by the Flooding of Underground Coal Mines\u2014A Case Study","volume":"132","author":"Dudek","year":"2020","journal-title":"Int. J. Rock Mech. Min. Sci."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Gee, D., Bateson, L., Sowter, A., Grebby, S., Novellino, A., Cigna, F., Marsh, S., Banton, C., and Wyatt, L. (2017). Ground Motion in Areas of Abandoned Mining: Application of the Intermittent SBAS (ISBAS) to the Northumberland and Durham Coalfield, UK. Geosciences, 7.","DOI":"10.3390\/geosciences7030085"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3143","DOI":"10.1007\/s13762-019-02617-8","article-title":"Assessment of Post-mining Terrain Suitability for Economic Use","volume":"17","year":"2020","journal-title":"Int. J. Environ. Sci. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.5505\/pajes.2020.69812","article-title":"Susceptibility Mapping for Sinkhole Occurrence by GIS and SSI Methods: A Case Study in Afsin-Elbistan Coal Basin","volume":"26","author":"Mahmutoglu","year":"2020","journal-title":"Pamukkale Univ. J. Eng. Sci."},{"key":"ref_15","unstructured":"(1995). The Polish Government Agricultural and Forest Lands Protection, Act of February 3rd, 1995, Item 78."},{"key":"ref_16","first-page":"203","article-title":"Scope of agricultural and forestry reclamation works in rock mines","volume":"21","year":"2014","journal-title":"Min. Sci. Miner. Aggreg."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.jenvman.2016.07.070","article-title":"Assessment of the Capability of Remote Sensing and GIS Techniques for Monitoring Reclamation Success in Coal Mine Degraded Lands","volume":"182","author":"Karan","year":"2016","journal-title":"J. Environ. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1602","DOI":"10.1016\/j.scitotenv.2018.12.156","article-title":"Monitoring Opencast Mine Restorations Using Unmanned Aerial System (UAS) Imagery","volume":"657","author":"Carabassa","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_19","unstructured":"Yao, Z., and Zhou, W. (2016, January 4\u20136). Correlation Analysis between Vegetation Fraction and Vegetation Indices in Reclaimed Forest: A Case Study in Pingshuo Mining Area. Proceedings of the 2016 4th International Workshop on Earth Observation and Remote Sensing Applications (EORSA), Guangzhou, China."},{"key":"ref_20","unstructured":"Singh, N., Gupta, V., and Singh, A. (April, January 10). Geospatial Technology for Land Reclamation Monitoring of Opencast Coal Mines in India. Proceedings of the 34th International Symposium on Remote Sensing of Environment, Sydney, Australia."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.coal.2010.12.009","article-title":"Remote Sensing of Vegetation Health for Reclaimed Areas of Seyit\u00f6mer Open Cast Coal Mine","volume":"86","author":"Erener","year":"2011","journal-title":"Int. J. Coal Geol."},{"key":"ref_22","first-page":"251","article-title":"Character Analysis of Mining Disturbance and Reclamation 786 Trajectory in Surface Coal-Mine Area by Time-Series NDVI","volume":"31","author":"Zipper","year":"2015","journal-title":"Nongye Gongcheng Xuebao\/Trans. Chin. 787 Soc. Agric. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zhang, Y., and Zhou, W. (2016, January 10\u201315). Remote Sensing of Vegetation Fraction for Monitoring Reclamation Dynamics: A Case Study in Pingshuo Mining Area. Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.","DOI":"10.1109\/IGARSS.2016.7730354"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.ecoleng.2016.06.051","article-title":"Vegetation Coverage Change and Stability in Large Open-Pit Coal Mine Dumps in China during 1990\u20132015","volume":"95","author":"Liu","year":"2016","journal-title":"Ecol. Eng."},{"key":"ref_25","first-page":"129","article-title":"Monitoring the Ecological Environment of Open-Pit Coalfields in Cold Zone of Northeast China Using Landsat Time Series Images of 2000\u20132015","volume":"24","author":"Sun","year":"2017","journal-title":"Teh. Vjesn."},{"key":"ref_26","first-page":"232","article-title":"Analysis of Land Damage and Recovery Process in Rare Earth Mining Area Based on Multi-Source Sequential NDVI","volume":"34","author":"Li","year":"2018","journal-title":"Nongye Gongcheng Xuebao\/Trans. Chin. 787 Soc. Agric. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Poyiadji, E., Stefouli, M., Przy\u0142ucka, M., Wo\u0142kowicz, S., Kowalski, Z., Hadjigeorgiou, C., and Woroszkiewicz, M. (2018, January 6). Introduction of Remote Sensing Methods for Monitoring the under Restoration Amiantos Mine, Cyprus. Proceedings of the Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), Paphos, Cyprus.","DOI":"10.1117\/12.2326114"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"e01445","DOI":"10.1016\/j.heliyon.2019.e01445","article-title":"Monitoring the Extent of Reclamation of Small Scale Mining Areas Using Artificial Neural Networks","volume":"5","author":"Abaidoo","year":"2019","journal-title":"Heliyon"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Li, H., Xie, M., Wang, H., Li, S., and Xu, M. (2020). Spatial Heterogeneity of Vegetation Response to Mining Activities in Resource Regions of Northwestern China. Remote Sens., 12.","DOI":"10.3390\/rs12193247"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1463","DOI":"10.3390\/rs2061463","article-title":"Changes in Croplands as a Result of Large Scale Mining and the Associated Impact on Food Security Studied Using Time-Series Landsat Images","volume":"2","author":"Matejicek","year":"2010","journal-title":"Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Zhou, C., Chen, S., Zhang, Y., Zhao, J., Song, D., and Liu, D. (2018). Evaluating Metal Effects on the Reflectance Spectra of Plant Leaves during Different Seasons in Post-Mining Areas, China. Remote Sens., 10.","DOI":"10.3390\/rs10081211"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1080\/10106049.2012.706648","article-title":"Change Detection of Surface Mining Activity and Reclamation Based on a Machine Learning Approach of Multi-Temporal Landsat TM Imagery","volume":"28","author":"Petropoulos","year":"2013","journal-title":"Geocarto Int."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s10661-020-08834-w","article-title":"Changes Detected in the Extent of Surface Mining and Reclamation Using Multitemporal Landsat Imagery: A Case Study of Jiu Valley, Romania","volume":"193","author":"Vorovencii","year":"2021","journal-title":"Env. Monit Assess"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"115502","DOI":"10.1016\/j.jenvman.2022.115502","article-title":"Vegetation Growth Status as an Early Warning Indicator for the Spontaneous Combustion Disaster of Coal Waste Dump after Reclamation: An Unmanned Aerial Vehicle Remote Sensing Approach","volume":"317","author":"Ren","year":"2022","journal-title":"J. Environ. Manag."},{"key":"ref_35","first-page":"76","article-title":"Satellite Remote Sensing-Based: Estimates of Biomass Production on Reclaimed Coal Mines","volume":"66","author":"Raval","year":"2014","journal-title":"Min. Eng."},{"key":"ref_36","first-page":"040002","article-title":"Remote Sensing and GIS Technologies in Land Reclamation and Landscape Planning Processes on Post-Mining Areas in the Polish and World Literature","volume":"2209","year":"2020","journal-title":"AIP Conf. Proc."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"McKenna, P.B., Lechner, A.M., Phinn, S., and Erskine, P.D. (2020). Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review. Remote Sens., 12.","DOI":"10.3390\/rs12213535"},{"key":"ref_38","first-page":"534","article-title":"Assessment of Health Risk of Heavy Metals in Major Crops in Mining Abandoned Reclamation Land","volume":"38","author":"QingQing","year":"2019","journal-title":"J. Agro-Environ. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"7035","DOI":"10.5846\/stxb201207080952","article-title":"Graphic Analysis of Spatio-Temporal Effect for Vegetation Disturbance Caused by Coal Mining:A Case of Datong Coal Mine Area","volume":"33","author":"Huang","year":"2013","journal-title":"Acta Ecol Sin."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"LeClerc, E., and Wiersma, Y. (2017). Assessing Post-Industrial Land Cover Change at the Pine Point Mine, NWT, Canada Using Multi-Temporal Landsat Analysis and Landscape Metrics. Environ. Monit. Assess., 189.","DOI":"10.1007\/s10661-017-5893-7"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.5194\/isprs-archives-XLII-2-W7-1017-2017","article-title":"The Analysis of Object-Based Change Detection in Mining Area: A Case Study with Pingshuo Coal","volume":"42","author":"Zhang","year":"2017","journal-title":"ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Szostak, M., Knapik, K., W\u0119\u017cyk, P., Likus-Cie\u015blik, J., and Pietrzykowski, M. (2019). Fusing Sentinel-2 Imagery and ALS Point Clouds for Defining LULC Changes on Reclaimed Areas by Afforestation. Sustainability, 11.","DOI":"10.3390\/su11051251"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"110717","DOI":"10.1016\/j.jenvman.2020.110717","article-title":"Unmanned Aerial System Protocol for Quarry Restoration and Mineral Extraction Monitoring","volume":"270","author":"Carabassa","year":"2020","journal-title":"J. Environ. Manag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"4465","DOI":"10.1007\/s13762-020-02789-8","article-title":"Spatial Evaluation of Land-Use Dynamics in Gold Mining Area Using Remote Sensing and GIS Technology","volume":"17","author":"Orimoloye","year":"2020","journal-title":"Int. J. Environ. Sci. Technol."},{"key":"ref_45","unstructured":"Greinert, H., Wr\u00f3bel, I., and Ko\u0142odziejczyk, U. (1997). Anthropogenic Lake District in the Nysa \u0141u\u017cycka Basin, The publishing House of the Zielona G\u00f3ra University of Technology. (In Polish)."},{"key":"ref_46","unstructured":"Heyduk, T., Jerzak, L., Ko\u017ama, J., and Sobera, R. (2005). Muskauer Park and Geotourist Attractions in the Vicinity of \u0141\u0119knica, \u201cChroma\u201d Printing House of Krzysztof Raczkowski. (In Polish)."},{"key":"ref_47","first-page":"33","article-title":"Geological structure and hydrogeological conditions of an anthropogenic reservoir near \u0141\u0119knica (Muskau Arch)","volume":"134","author":"Gontaszewska","year":"2007","journal-title":"Sci. J. Univ. Zielona G\u00f3ra"},{"key":"ref_48","first-page":"692","article-title":"The Transboundary Geopark Muskau Arch (Geopark \u0141uk Mu\u017cakowa, Geopark Muskauer Faltenbogen","volume":"56","author":"Kupetz","year":"2008","journal-title":"Geol. Rev."},{"key":"ref_49","first-page":"9","article-title":"The problem of acid water drainage in areas after lignite mining\u2014The Muskau Arch","volume":"445","author":"Labus","year":"2011","journal-title":"Bull. Pol. Geol. Inst."},{"key":"ref_50","first-page":"54","article-title":"\u201cMuskau Arch\u201d\u2014Proposed cross-border area of geodiversity protection","volume":"51","author":"Badura","year":"2003","journal-title":"Geol. Rev."},{"key":"ref_51","unstructured":"Osika, R. (1970). Geology and Mineral Raw Materials of Poland, Geological Publishers. (In Polish)."},{"key":"ref_52","first-page":"5","article-title":"Anthropogenic landscape changes related to the former lignite mining on the example of the Polish part of the Muskau Arch","volume":"57","year":"2016","journal-title":"Opencast Min."},{"key":"ref_53","first-page":"32","article-title":"Geotouristic values of the landscape of the Muskau Arch","volume":"58","year":"2017","journal-title":"Opencast Min."},{"key":"ref_54","unstructured":"(2021, December 07). The Polish Central Office of Geodesy and Cartography Integrated Copies of Databases of Topographic Objects BDOT10k, Available online: http:\/\/www.gugik.gov.pl\/pzgik\/zamow-dane\/baza-danych-obiektow-topograficznych-bdot-10k."},{"key":"ref_55","unstructured":"(2021, December 07). The Polish Central Office of Geodesy and Cartography Digital Elevation Model, Available online: http:\/\/www.gugik.gov.pl\/pzgik\/zamow-dane\/numeryczny-model-terenu."},{"key":"ref_56","unstructured":"Ko\u017ama, J. (2018). Analysis of the Landscape Evolution of the Polish Part of the Muskau Arch and Its Valor-Isation in Terms of the Protection of Geological Heritage. [Ph.D. Thesis, The Polish Geological Institute\u2014National Research Institute]. (In Polish)."},{"key":"ref_57","unstructured":"(2021, December 07). The Polish Geological Institute\u2014National Research Institute Spatial Data, Available online: http:\/\/dm.pgi.gov.pl\/."},{"key":"ref_58","unstructured":"Bielecka, H., and Jednor\u00f3g, A. (2006). Hydrogeological Map of Poland 1:50,000, First Aquifer, Occurence and Hydrodynamics, Sheet 646 (Trzebiel)."},{"key":"ref_59","unstructured":"(2021, May 13). The Polish Institute of Meteorology and Water Management Public Data. Available online: https:\/\/danepubliczne.imgw.pl\/."},{"key":"ref_60","first-page":"577","article-title":"The importance of radiometric correction in the processing of satellite images","volume":"17b","year":"2007","journal-title":"Arch. Photogramm. Cartogr. Remote Sens."},{"key":"ref_61","unstructured":"(2021, October 12). The United States Geological Survey Landsat 7, Available online: https:\/\/landsat.gsfc.nasa.gov\/landsat-7."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and Photographic Infrared Linear Combinations for Monitoring Vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"L22401","DOI":"10.1029\/2008GL035772","article-title":"Evaluation of MODIS NDVI and NDWI for Vegetation Drought Monitoring Using Oklahoma Mesonet Soil Moisture Data","volume":"35","author":"Gu","year":"2008","journal-title":"Geophys. Res. Lett."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/0034-4257(84)90055-5","article-title":"Remote Sensing of Biomass and Annual Net Aerial Primary Productivity of a Salt Marsh","volume":"16","author":"Hardisky","year":"1984","journal-title":"Remote Sens. Environ. Vol."},{"key":"ref_65","unstructured":"Gao, W., and Ustin, S.L. (2007;, January 13). Remote Sensing of Vegetation Water Content Using Shortwave Infrared Reflectances. Proceedings of the SPIE, San Diego, CF, USA."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"122161","DOI":"10.1016\/j.jclepro.2020.122161","article-title":"Identification of Successional Trajectory over 30 Years and Evaluation of Reclamation Effect in Coal Waste Dumps of Surface Coal Mine","volume":"269","author":"Li","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.rse.2003.12.013","article-title":"Strachan Hyperspectral Vegetation Indices and Novel Algorithms for Predicting Green LAI of Crop Canopies: Modeling and Validation in the Context of Precision Agriculture","volume":"90","author":"Haboudane","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_68","unstructured":"Charlton, M., and Fotheringham, A.S. (2009). Geographically Weighted Regression. White Paper, National Centre for Geocomputation, National University of Ireland Maynooth."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1111\/j.1538-4632.1996.tb00936.x","article-title":"Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity","volume":"28","author":"Brundson","year":"1996","journal-title":"Geogr. Anal."},{"key":"ref_70","unstructured":"Fotheringham, S., Brundson, C., and Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley."},{"key":"ref_71","first-page":"407","article-title":"Application of geographically weighted regression to modelling the urban heat island in Wroc\u0142aw","volume":"20","author":"Szymanowski","year":"2009","journal-title":"Arch. Photogramm. Cartogr. Remote Sens."},{"key":"ref_72","unstructured":"Chrzanowska, M., and Drejerska, N. (2016). Geographically Weighted Regression as a Tool for the Analysis of Socio-Economic Development Level on the Example of Regions of the European Union, University of Economics in Wroc\u0142aw. (In Polish)."},{"key":"ref_73","unstructured":"Wasilewska, E. (2009). Descriptive Statistics from Basis. Handbook with Tasks., Publishing House of SGGW. (In Polish)."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"100118","DOI":"10.1016\/j.envadv.2021.100118","article-title":"Spatial Prediction of Flood-Prone Areas Using Geographically Weighted Regression","volume":"6","author":"Lin","year":"2021","journal-title":"Environ. Adv."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI\u2014A Normalized Difference Water Index for Remote Sensing of Vegetation Liquid Water from Space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"L20405","DOI":"10.1029\/2007GL031021","article-title":"NMDI: A Normalized Multi-Band Drought Index for Monitoring Soil and Vegetation Moisture with Satellite Remote Sensing","volume":"34","author":"Wang","year":"2007","journal-title":"Geophys. Res. Lett."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2017\/1353691","article-title":"Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications","volume":"1","author":"Xue","year":"2017","journal-title":"J. Sens."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"8825","DOI":"10.1109\/ACCESS.2017.2700474","article-title":"Vegetation Index Differencing for Estimating Foliar Dust in an Ultra-Low-Grade Magnetite Mining Area Using Landsat Imagery","volume":"5","author":"Ma","year":"2017","journal-title":"IEEE Access"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1078\/0176-1617-01176","article-title":"Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation","volume":"161","author":"Gitelson","year":"2004","journal-title":"J. Plant Physiol."},{"key":"ref_80","unstructured":"Kurczy\u0144ski, Z. (2014). Photogrammetry, Scientific Publisher PWN SA. (In Polish)."},{"key":"ref_81","unstructured":"(2021, October 12). ESRI How OLS Regression Works\u2014ArcGIS Pro|Documentation. Available online: https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/spatial-statistics\/how-ols-regression-works.htm."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1093\/biomet\/87.4.954","article-title":"A New Family of Power Transformations to Improve Normality or Symmetry","volume":"87","author":"Yeo","year":"2000","journal-title":"Biometrika"},{"key":"ref_83","unstructured":"Date, S. (2021, October 16). Dealing with Multi-Modality of Residual Errors. Available online: https:\/\/timeseriesreasoning.com\/contents\/multi-modal-residual-errors\/."},{"key":"ref_84","unstructured":"Albon, C. (2019). Uczenie Maszynowe w Pythonie. Receptury., Helion S.A."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/3\/719\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:15:57Z","timestamp":1760120157000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/3\/719"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,26]]},"references-count":84,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["rs15030719"],"URL":"https:\/\/doi.org\/10.3390\/rs15030719","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,1,26]]}}}