{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T15:12:08Z","timestamp":1777302728971,"version":"3.51.4"},"reference-count":73,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T00:00:00Z","timestamp":1652313600000},"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>The study sought to investigate the process of built-up expansion and the probability of built-up expansion in the English Bazar Block of West Bengal, India, using multitemporal Landsat satellite images and an integrated machine learning algorithm and fuzzy logic model. The land use and land cover (LULC) classification were prepared using a support vector machine (SVM) classifier for 2001, 2011, and 2021. The landscape fragmentation technique using the landscape fragmentation tool (extension for ArcGIS software) and frequency approach were proposed to model the process of built-up expansion. To create the built-up expansion probability model, the dominance, diversity, and connectivity index of the built-up areas for each year were created and then integrated with fuzzy logic. The results showed that, during 2001\u20132021, the built-up areas increased by 21.67%, while vegetation and water bodies decreased by 9.28 and 4.63%, respectively. The accuracy of the LULC maps for 2001, 2011, and 2021 was 90.05, 93.67, and 96.24%, respectively. According to the built-up expansion model, 9.62% of the new built-up areas was created in recent decades. The built-up expansion probability model predicted that 21.46% of regions would be converted into built-up areas. This study will assist decision-makers in proposing management strategies for systematic urban growth that do not damage the environment.<\/jats:p>","DOI":"10.3390\/rs14102349","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T23:08:36Z","timestamp":1652396916000},"page":"2349","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Analysing Process and Probability of Built-Up Expansion Using Machine Learning and Fuzzy Logic in English Bazar, West Bengal"],"prefix":"10.3390","volume":"14","author":[{"given":"Tanmoy","family":"Das","sequence":"first","affiliation":[{"name":"Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5868-1062","authenticated-orcid":false,"family":"Shahfahad","sequence":"additional","affiliation":[{"name":"Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohd Waseem","family":"Naikoo","sequence":"additional","affiliation":[{"name":"Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6680-9791","authenticated-orcid":false,"given":"Swapan","family":"Talukdar","sequence":"additional","affiliation":[{"name":"Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayesha","family":"Parvez","sequence":"additional","affiliation":[{"name":"Henry Samueli School of Engineering, University of California, 5200 Engineering Service Rd., Irvine, CA 92617, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atiqur","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi 110025, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Swades","family":"Pal","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Gour Banga, Mokdumpur, Malda 732103, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3289-1226","authenticated-orcid":false,"given":"Md Sarfaraz","family":"Asgher","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Jammu, Jammu 180006, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5779-1382","authenticated-orcid":false,"given":"Abu Reza Md. 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Available online: https:\/\/population.un.org\/wup\/."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Seto, K.C., Fragkias, M., Guneralp, B., and Reilly, M.K. (2011). A meta-analysis of global urban land expansion. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0023777"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"16083","DOI":"10.1073\/pnas.1211658109","article-title":"Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools","volume":"109","author":"Seto","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"102503","DOI":"10.1016\/j.habitatint.2021.102503","article-title":"Building in or out? Examining urban expansion patterns and land use efficiency across the global sample of 466 cities with million+ inhabitants","volume":"120","author":"Chakraborty","year":"2022","journal-title":"Habitat Int."},{"key":"ref_5","first-page":"62","article-title":"Urbanization and quality of urban environment using remote sensing and GIS techniques in East Delhi-India","volume":"3","author":"Rahman","year":"2011","journal-title":"J. Geogr. Inf. Syst."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.landurbplan.2014.01.017","article-title":"Urban green space, public health, and environmental justice: The challenge of making cities \u201cjust green enough\u201d","volume":"125","author":"Wolch","year":"2014","journal-title":"Landsc. Urban Plan."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.landusepol.2015.08.001","article-title":"Multi-scale analysis of urban sprawl in Europe: Towards a European de-sprawling strategy","volume":"49","author":"Hennig","year":"2015","journal-title":"Land Use Policy"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.ijsbe.2012.05.001","article-title":"An analysis of urban growth trends in the post-economic reforms period in India","volume":"1","author":"Chadchan","year":"2012","journal-title":"Int. J. Sustain. Built Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.apgeog.2008.12.005","article-title":"Land use and land cover change in greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization","volume":"29","author":"Dewan","year":"2009","journal-title":"Appl. Geogr."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Ranagalage, M., Morimoto, T., Simwanda, M., and Murayama, Y. (2021). Spatial Analysis of Urbanization Patterns in Four Rapidly Growing South Asian Cities Using Sentinel-2 Data. Remote Sens., 13.","DOI":"10.3390\/rs13081531"},{"key":"ref_11","first-page":"159","article-title":"Identifying peri-urban growth in small and medium towns using GIS and remote sensing technique: A case study of English Bazar Urban Agglomeration, West Bengal, India","volume":"21","author":"Shaw","year":"2018","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1607","DOI":"10.1007\/s10708-020-10148-w","article-title":"Indices based assessment of built-up density and urban expansion of fast-growing Surat city using multi-temporal Landsat data sets","volume":"86","author":"Shahfahad","year":"2020","journal-title":"GeoJournal"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"11913","DOI":"10.1007\/s10668-020-01149-3","article-title":"Assessment of urban sprawl characteristics in Indian cities using remote sensing: Case studies of Patna, Ranchi, and Srinagar","volume":"23","author":"Chettry","year":"2021","journal-title":"Environ. Dev. Sustain."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1016\/j.jum.2019.03.002","article-title":"Dynamics of Urbanization and its impact on Urban Ecosystem Services (UESs): A study of a medium size town of West Bengal, Eastern India","volume":"8","author":"Das","year":"2019","journal-title":"J. Urban Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.jum.2017.08.001","article-title":"Measuring urban sprawl of Srinagar city, Jammu and Kashmir, India","volume":"6","author":"Nengroo","year":"2017","journal-title":"J. Urban Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1111\/sjtg.12317","article-title":"Decumbent development: Urban sprawl in the Guwahati Metropolitan Area, India","volume":"41","author":"Pawe","year":"2020","journal-title":"Singap. J. Trop. Geogr."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Shaban, A., Kourtit, K., and Nijkamp, P. (2020). India\u2019s urban system: Sustainability and imbalanced growth of cities. Sustainability, 12.","DOI":"10.3390\/su12072941"},{"key":"ref_18","unstructured":"(2022, March 06). Census of India. Provisional Population Totals Urban Agglomerations and Cities 2011, Available online: https:\/\/censusindia.gov.in\/2011-prov-results\/paper2\/data_files\/india2\/1.%20data%20highlight.pdf."},{"key":"ref_19","unstructured":"Raman, B., Prasad-Aleyamma, M., de Bercegol, R., Denis, E., and Z\u00e9rah, M.-H. (2022, March 05). Selected Readings on Small Town Dynamics in India. USR 3330 \u201cSavoirs et MondesIndiens\u201d Working Papers Series No. 7. No. 2. SUBURBIN Working Papers Series. Available online: https:\/\/hal.archives-ouvertes.fr\/hal-01139006\/document."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.jum.2018.04.006","article-title":"Impacts of urbanization on land use\/cover changes and its probable implications on local climate and groundwater level","volume":"7","author":"Patra","year":"2018","journal-title":"J. Urban Manag."},{"key":"ref_21","first-page":"98","article-title":"Growth of Dehradun city: An application of linear spectral unmixing (LSU) technique using multi-temporal landsat satellite data sets","volume":"1","author":"Dutta","year":"2015","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_22","first-page":"54","article-title":"Assessing the impacts of urbanization on the thermal environment of Ranchi City (India) using geospatial technology","volume":"8","author":"Mohanta","year":"2017","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_23","first-page":"10","article-title":"Emerging pattern of urbanisation in India","volume":"34","author":"Bhagat","year":"2011","journal-title":"Econ. Political Wkly."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1257\/0895330042632681","article-title":"Urban sprawl","volume":"18","author":"Nechyba","year":"2004","journal-title":"J. Econ. Perspect."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"100736","DOI":"10.1016\/j.seps.2019.100736","article-title":"Dynamics of urban sprawl and sustainable development in China","volume":"70","author":"Wang","year":"2019","journal-title":"Socio Econ. Plan. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ghazaryan, G., Rienow, A., Oldenburg, C., Thonfeld, F., Trampnau, B., Sticksel, S., and J\u00fcrgens, C. (2021). Monitoring of Urban Sprawl and Densification Processes in Western Germany in the Light of SDG Indicator 11.3.1 Based on an Automated Retrospective Classification Approach. Remote Sens., 13.","DOI":"10.3390\/rs13091694"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1146\/annurev-environ-102016-061128","article-title":"Linking Urbanization and the Environment: Conceptual and Empirical Advances","volume":"42","author":"Bai","year":"2017","journal-title":"Annu. Rev. Environ. Resour."},{"key":"ref_28","first-page":"3762","article-title":"Modelling Urban Heat Island (UHI) and Thermal Field Variation and Their Relationship with Land Use Indices over Delhi and Mumbai Metro Cities","volume":"24","author":"Talukdar","year":"2021","journal-title":"Environ. Dev. Sustain."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Aram, F., Solgi, E., HiguerasGarc\u00eda, E., Mosavi, A., and V\u00e1rkonyi-K\u00f3czy, A.R. (2019). The Cooling Effect of Large-Scale Urban Parks on Surrounding Area Thermal Comfort. Energies, 12.","DOI":"10.20944\/preprints201909.0155.v1"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3879","DOI":"10.3390\/rs6053879","article-title":"Supporting global environmental change research: A review of trends and knowledge gaps in urban remote sensing","volume":"6","author":"Wentz","year":"2014","journal-title":"Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"23118","DOI":"10.1038\/s41598-021-02565-9","article-title":"Dynamic monitoring of urban built-up object expansion trajectories in Karachi, Pakistan with time series images and the LandTrendr algorithm","volume":"11","author":"Yan","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"044015","DOI":"10.1088\/1748-9326\/ab6669","article-title":"Trends in urban land expansion, density, and land transitions from 1970 to 2010: A global synthesis","volume":"15","author":"Reba","year":"2020","journal-title":"Environ. Res. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2957","DOI":"10.3390\/rs4102957","article-title":"Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area","volume":"4","author":"Adnyana","year":"2012","journal-title":"Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7339","DOI":"10.3390\/rs6087339","article-title":"Urban Built-Up Area Extraction from Landsat TM\/ETM+ Images Using Spectral Information and Multivariate Texture","volume":"6","author":"Zhang","year":"2014","journal-title":"Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1080\/1747423X.2020.1765425","article-title":"Land use\/land cover change detection and urban sprawl in the peri-urban area of greater Cairo since the Egyptian revolution of 2011","volume":"15","author":"Salem","year":"2020","journal-title":"J. Land Use Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"129488","DOI":"10.1016\/j.jclepro.2021.129488","article-title":"An improved approach for monitoring urban built-up areas by combining NPP-VIIRS nighttime light, NDVI, NDWI, and NDBI","volume":"328","author":"Zheng","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Talukdar, S., Singha, P., Mahato, S., Pal, S., Liou, Y.A., and Rahman, A. (2020). Land-use land-cover classification by machine learning classifiers for satellite observations\u2014A review. Remote Sens., 12.","DOI":"10.3390\/rs12071135"},{"key":"ref_38","first-page":"478","article-title":"Impact of Machine Learning Techniques for Lulc Classification of Peshawar Pakistan","volume":"3","author":"Fawad","year":"2021","journal-title":"Int. Res. J. Mod. Eng. Technol. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"4269","DOI":"10.1080\/01431160802039957","article-title":"A new index for delineating built-up land features in satellite imagery","volume":"29","author":"Xu","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"414","DOI":"10.4314\/sajg.v4i4.5","article-title":"Exploring the utility of the additional WorldView-2 bands and support vector machines in mapping land use\/land cover in a fragmented ecosystem, South Africa","volume":"4","author":"Omer","year":"2015","journal-title":"S. Afr. J. Geomat."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Ul Din, S., and Mak, H.W.L. (2021). Retrieval of Land-Use\/Land Cover Change (LUCC) Maps and Urban Expansion Dynamics of Hyderabad, Pakistan via Landsat Datasets and Support Vector Machine Framework. Remote Sens., 13.","DOI":"10.3390\/rs13163337"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.isprsjprs.2021.06.005","article-title":"Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel","volume":"178","author":"Schulz","year":"2021","journal-title":"J. Photogramm. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.jum.2020.05.004","article-title":"Analyses of land use land cover (LULC) change and built-up expansion in the suburb of a metropolitan city: Spatio-temporal analysis of Delhi NCR using landsat datasets","volume":"9","author":"Naikoo","year":"2020","journal-title":"J. Urban Manag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2227","DOI":"10.1007\/s12524-021-01394-7","article-title":"Urban Heat Island Dynamics in Response to Land-Use\/Land-Cover Change in the Coastal City of Mumbai","volume":"49","author":"Shahfahad","year":"2021","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"101052","DOI":"10.1016\/j.uclim.2021.101052","article-title":"LULC change and its impact on surface urban heat island and urban thermal comfort in a metropolitan city","volume":"41","author":"Shahfahad","year":"2022","journal-title":"Urban Clim."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Naikoo, M.W., Rihan, M., Peer, A.H., Talukdar, S., Mallick, J., Ishtiaq, M., and Rahman, A. (2022). Analysis of peri-urban land use\/land cover change and its drivers using geospatial techniques and geographically weighted regression. Environ. Sci. Pollut. Res., 1\u201319.","DOI":"10.1007\/s11356-022-18853-4"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"103703","DOI":"10.1016\/j.scs.2022.103703","article-title":"Impacts of future urbanization on urban microclimate and thermal comfort over the Mumbai Metropolitan Region, India","volume":"79","author":"Vinayak","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"107178","DOI":"10.1016\/j.ecolind.2020.107178","article-title":"An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: A GIS-based analysis","volume":"121","author":"Dinda","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.jum.2019.03.007","article-title":"Application of Geo-Spatial Indices for Detection of Growth Dynamics and Forms of Expansion in English Bazar Urban Agglomeration, West Bengal","volume":"8","author":"Dutta","year":"2019","journal-title":"J. Urban Manag."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.rse.2014.02.001","article-title":"Landsat-8: Science and product vision for terrestrial global change research","volume":"145","author":"Roy","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"7952","DOI":"10.3390\/rs6097952","article-title":"Continuity of reflectance data between landsat-7 ETM+ and landsat-8 OLI, for both top-of-atmosphere and surface reflectance: A study in the australian landscape","volume":"6","author":"Flood","year":"2014","journal-title":"Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1039\/C8JA00119G","article-title":"Accuracy improvement of iron ore analysis using laser-induced breakdown spectroscopy with a hybrid sparse partial least squares and least-squares support vector machine model","volume":"33","author":"Guo","year":"2018","journal-title":"J. Anal. At. Spectrom."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.rse.2017.07.009","article-title":"A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion","volume":"199","author":"Wu","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Thanh Noi, P., and Kappas, M. (2017). Comparison of random forest, k-nearest neighbor, and support vector machine classifiers for land cover classification using Sentinel-2 imagery. Sensors, 18.","DOI":"10.3390\/s18010018"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2245","DOI":"10.1007\/s12665-013-2628-0","article-title":"Appraisal of land use\/land cover of mangrove forest ecosystem using support vector machine","volume":"71","author":"Singh","year":"2014","journal-title":"Environ. Earth Sci."},{"key":"ref_56","first-page":"100351","article-title":"Performance evaluation of MLE, RF and SVM classification algorithms for watershed scale land use\/land cover mapping using sentinel 2 bands","volume":"19","author":"Rana","year":"2020","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_57","first-page":"48","article-title":"Ecological Restoration of an Oak Woodland within the Forest-Prairie Ecotone of Kansas","volume":"65","author":"Galgamuwa","year":"2018","journal-title":"For. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Amato, F., Maimone, B.A., Martellozzo, F., Nol\u00e8, G., and Murgante, B. (2016). The Effects of Urban Policies on the Development of Urban Areas. Sustainability, 8.","DOI":"10.3390\/su8040297"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"103343","DOI":"10.1016\/j.agsy.2021.103343","article-title":"Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping","volume":"196","author":"Talukdar","year":"2022","journal-title":"Agric. Syst."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"3797","DOI":"10.1080\/01431161.2021.1881185","article-title":"Advancements in the remote sensing of landscape pattern of urban green spaces and vegetation fragmentation","volume":"42","author":"Kowe","year":"2021","journal-title":"Int. J. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.uclim.2018.01.006","article-title":"Analyzing control of respiratory particulate matter on Land Surface Temperature in local climatic zones of English Bazar Municipality and Surroundings","volume":"24","author":"Ziaul","year":"2018","journal-title":"Urban Clim."},{"key":"ref_62","first-page":"309","article-title":"Mango cultivation in Malda District, West Bengal: A historical perspective","volume":"21","author":"Saadat","year":"2017","journal-title":"Asian Agri Hist."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"534","DOI":"10.3390\/rs1030534","article-title":"Examining spatiotemporal urbanization patterns in Kathmandu Valley, Nepal: Remote sensing and spatial metrics approaches","volume":"1","author":"Thapa","year":"2009","journal-title":"Remote Sens."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.apgeog.2016.12.001","article-title":"Frontiers of urbanization: Identifying and explaining urbanization hot spots in the south of Mexico City using human and remote sensing","volume":"79","author":"Lopez","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"4470","DOI":"10.1038\/s41598-021-83512-6","article-title":"Development of an integrated peri-urban wetland degradation assessment approach for the Chatra Wetland in eastern India","volume":"11","author":"Basu","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1858","DOI":"10.1007\/s11356-021-15674-9","article-title":"Evaluation of wetland ecosystem health using geospatial technology: Evidence from the lower Gangetic flood plain in India","volume":"29","author":"Das","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Yang, Y., Chen, J., Lan, Y., Zhou, G., You, H., Han, X., Wang, Y., and Shi, X. (2022). Landscape Pattern and Ecological Risk Assessment in Guangxi Based on Land Use Change. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph19031595"},{"key":"ref_68","doi-asserted-by":"crossref","unstructured":"Byun, G., and Kim, Y. (2022). A street-view-based method to detect urban growth and decline: A case study of Midtown in Detroit, Michigan, USA. PLoS ONE, 17.","DOI":"10.1371\/journal.pone.0263775"},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"611","DOI":"10.4236\/ijg.2017.84033","article-title":"Accuracy assessment of land use\/land cover classification using remote sensing and GIS","volume":"8","author":"Rwanga","year":"2017","journal-title":"Int. J. Geosci."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"100012","DOI":"10.1016\/j.tfp.2020.100012","article-title":"Quantification and mapping of fragmented forest landscape in dry deciduous forest of Burdwan Forest Division, West Bengal, India","volume":"2","author":"Dutta","year":"2020","journal-title":"Trees For. People"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"4405","DOI":"10.1080\/01431160801905497","article-title":"Expert system classification of urban land use\/cover for Delhi, India","volume":"29","author":"Wentz","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_72","first-page":"67","article-title":"Analysis for mapping of built-up area using remotely sensed indices-A case study of rajarhat block in Barasatsadar sub-division in west Bengal (India)","volume":"11","author":"Ghosh","year":"2018","journal-title":"J. Landsc. Ecol. Repub."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"101141","DOI":"10.1016\/j.gsf.2021.101141","article-title":"Quantifying the Response of Surface Urban Heat Island to Urbanization Using the Annual Temperature Cycle Model","volume":"13","author":"Li","year":"2021","journal-title":"Geosci. Front."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2349\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:09:56Z","timestamp":1760137796000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2349"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,12]]},"references-count":73,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["rs14102349"],"URL":"https:\/\/doi.org\/10.3390\/rs14102349","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,12]]}}}