{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T00:22:36Z","timestamp":1777335756426,"version":"3.51.4"},"reference-count":104,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T00:00:00Z","timestamp":1648512000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>The simulation and analysis of future land use and land cover\u2014LULC scenarios using artificial neural networks (ANN)\u2014has been applied in the last 25 years, producing information for environmental and territorial policy making and implementation. LULC changes have impacts on many levels, e.g., climate change, biodiversity and ecosystem services, soil quality, which, in turn, have implications for the landscape. Therefore, it is fundamental that planning is informed by scientific evidence. The objective of this work was to develop a geographic model to identify the main patterns of LULC transitions between the years 2000 and 2018, to simulate a baseline scenario for the year 2036, and to assess the effectiveness of the Chapec\u00f3 River ecological corridor (an area created by State Decree No. 2.957\/2010), regarding the recovery and conservation of forest remnants and natural fields. The results indicate that the forest remnants have tended to recover their area, systematically replacing silviculture areas. However, natural fields (grassland) are expected to disappear in the near future if proper measures are not taken to protect this ecosystem. If the current agricultural advance pattern is maintained, only 0.5% of natural fields will remain in the ecological corridor by 2036. This LULC trend exposes the low effectiveness of the ecological corridor (EC) in protecting and restoring this vital ecosystem.<\/jats:p>","DOI":"10.3390\/su14074038","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T21:45:51Z","timestamp":1648590351000},"page":"4038","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Modeling of Land Use and Land Cover (LULC) Change Based on Artificial Neural Networks for the Chapec\u00f3 River Ecological Corridor, Santa Catarina\/Brazil"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4636-8236","authenticated-orcid":false,"given":"Juliana Mio de","family":"Souza","sequence":"first","affiliation":[{"name":"Agricultural Research and Extension Service Institution of the State of Santa Catarina, Rua Admar Gonzaga, 1347, Itacorubi, Florian\u00f3polis 88034-901, Brazil"},{"name":"Centre of Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Rua Branca Edm\u00e9e Marques, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3220-4943","authenticated-orcid":false,"given":"Paulo","family":"Morgado","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, Rua Branca Edm\u00e9e Marques, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5070-3562","authenticated-orcid":false,"given":"Eduarda Marques da","family":"Costa","sequence":"additional","affiliation":[{"name":"Centre of Geographical Studies, Associated Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, Rua Branca Edm\u00e9e Marques, 1600-276 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8129-3655","authenticated-orcid":false,"given":"Luiz Fernando de Novaes","family":"Vianna","sequence":"additional","affiliation":[{"name":"Agricultural Research and Extension Service Institution of the State of Santa Catarina, Rua Admar Gonzaga, 1347, Itacorubi, Florian\u00f3polis 88034-901, Brazil"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1038\/nature10452","article-title":"Solutions for a cultivated planet","volume":"478","author":"Foley","year":"2011","journal-title":"Nature"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/S0959-3780(01)00007-3","article-title":"The causes of land-use and land-cover change: Moving beyond the myths","volume":"11","author":"Lambin","year":"2001","journal-title":"Glob. Environ. Chang."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Feranec, J., Soukup, T., Taff, G.N., Stych, P., and Bicik, I. (2016). Overview of changes in land use and land cover in Eastern Europe. Land-Cover and Land-Use Changes in Eastern Europe after the Collapse of the Soviet Union in 1991, Springer.","DOI":"10.1007\/978-3-319-42638-9_2"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1111\/gcb.12714","article-title":"Gross changes in reconstructions of historic land cover\/use for Europe between 1900 and 2010","volume":"21","author":"Fuchs","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Lambin, E.F., and Geist, H. (2006). Introduction: Local Processes with Global Impacts. Land Use and Land Cover Change, Springer.","DOI":"10.1007\/3-540-32202-7"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Lambin, E.F., and Geist, H. (2006). Causes and Trajectories of Land-Use\/Cover Change. Land-Use and Land-Cover Change, Springer.","DOI":"10.1007\/3-540-32202-7"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1024","DOI":"10.3390\/rs4041024","article-title":"From Land Cover to Land Use: A Methodology to Assess Land Use from Remote Sensing Data","volume":"4","author":"Mollicone","year":"2012","journal-title":"Remote Sens."},{"key":"ref_8","unstructured":"Briassoulis, H. (2000). Analysis of Land Use Change: Theoretical and Modeling Approaches, Regional Research Institute, WVU-West Virginia University."},{"key":"ref_9","unstructured":"FAO (1995). Planning for Sustainable Use of Land Resources: Towards a New Approach, Food and Agriculture Organisation."},{"key":"ref_10","unstructured":"Turner, B., Skole, D., Sanderson, S., Fischer, G., Fresco, L., and Leemans, R. (1995). Land-Use and Land-Cover Change Science\/Research Plan, IGBP."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1016\/S1002-0160(06)60078-7","article-title":"Spatial-Temporal Pattern and Driving Forces of Land Use Changes in Xiamen","volume":"16","author":"Quan","year":"2006","journal-title":"Pedosphere"},{"key":"ref_12","unstructured":"Fisher, P., and Unwin, D.J. (2005). Land use and land cover: Contradiction or complement. Re-Presenting GIS, John Wiley & Sons Ltd."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s10708-004-4946-y","article-title":"Land use change modelling: Current practice and research priorities","volume":"61","author":"Verburg","year":"2004","journal-title":"GeoJournal"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1472-6947-13-80","article-title":"Artificial neural network models for prediction of cardiovascular autonomic dysfunction in general Chinese population","volume":"13","author":"Liu","year":"2013","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1476-4598-4-29","article-title":"Artificial neural networks for diagnosis and survival prediction in colon cancer","volume":"4","author":"Ahmed","year":"2005","journal-title":"Mol. Cancer"},{"key":"ref_16","unstructured":"Pianucci, M.N. (2016). Uma Proposta para a Obten\u00e7\u00e3o da Popula\u00e7\u00e3o Sint\u00e9tica Atrav\u00e9s de Dados Agregados para Modelagem de Gera\u00e7\u00e3o de Viagens por Domic\u00edlio. [Ph.D. Thesis, Universidade de S\u00e3o Paulo, scola de Engenharia de S\u00e3o Carlos]."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Le, L.T., Nguyen, H., Dou, J., and Zhou, J. (2019). A comparative study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in estimating the heating load of buildings\u2019 energy efficiency for smart city planning. Appl. Sci., 9.","DOI":"10.3390\/app9132630"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"103149","DOI":"10.1016\/j.scs.2021.103149","article-title":"Implementation of solar energy in smart cities using an integration of artificial neural network, photovoltaic system and classical Delphi methods","volume":"74","author":"Ghadami","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_19","unstructured":"Padilha, D.G. (2014). Modelo de Apoio \u00e0 Decis\u00e3o Aplicado ao Planejamento Territorial de Silvicultura Baseado em An\u00e1lise Multicrit\u00e9rio de Redes Neurais Artificiais. [Ph.D. Thesis, Universidade Federal de Santa Maria]."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.apgeog.2018.12.009","article-title":"Farming under urban pressure: Farmers\u2019 land use and land cover change intentions","volume":"102","author":"Gomes","year":"2019","journal-title":"Appl. Geogr."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1016\/j.ecolind.2018.10.025","article-title":"Agricultural land fragmentation analysis in a peri-urban context: From the past into the future","volume":"97","author":"Gomes","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_22","unstructured":"Faceli, K., Lorena, A.C., Gama, J., and Carvalho, A.C.P.L.F. (2011). Intelig\u00eancia Artificial: Uma Abordagem de Aprendizado de M\u00e1quina, LTC."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Agarwal, C., Green, G.M., Grove, J.M., Evans, T.P., and Schweik, C.M. (2002). A Review and Assessment of Land-Use Change Models: Dynamics of Space, Time, and Human Choice. Apollo Int. Mag. Art Antiq., 62.","DOI":"10.2737\/NE-GTR-297"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0301-4797(02)90596-7","article-title":"The use of GIS for monitoring and predicting urban growth in East and West St Paul, Winnipeg, Manitoba, Canada","volume":"66","author":"Hathout","year":"2002","journal-title":"J. Environ. Manag."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/jema.2001.0509","article-title":"Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling","volume":"64","author":"Weng","year":"2002","journal-title":"J. Environ. Manag."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Viana, C.M., and Rocha, J. (2020). Evaluating dominant land use\/land cover changes and predicting future scenario in a rural region using a memoryless stochastic method. Sustainability, 12.","DOI":"10.3390\/su12104332"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.scitotenv.2018.07.017","article-title":"Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model","volume":"644","author":"Anand","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_28","unstructured":"Da Silva Pinto, F.J.P. (2012). Sistemas Complexos, Modela\u00e7\u00e3o e Geosimula\u00e7\u00e3o da Evolu\u00e7\u00e3o de Padr\u00f5es de Uso e Ocupa\u00e7\u00e3o do Solo. [Ph.D. Thesis, Universidade de Lisboa, Instituo de Geografia e Ordenamento do Territ\u00f3rio]."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Yirsaw, E., Wu, W., Shi, X., Temesgen, H., and Bekele, B. (2017). Land Use\/Land Cover change modeling and the prediction of subsequent changes in ecosystem service values in a coastal area of China, the Su-Xi-Chang region. Sustainability, 9.","DOI":"10.3390\/su9071204"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Liu, Y., and Feng, Y. (2016). Simulating the impact of economic and environmental strategies on future urban growth scenarios in Ningbo, China. Sustainability, 8.","DOI":"10.3390\/su8101045"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Hamad, R., Balzter, H., and Kolo, K. (2018). Predicting land use\/land cover changes using a CA-Markov model under two different scenarios. Sustainability, 10.","DOI":"10.3390\/su10103421"},{"key":"ref_32","first-page":"217","article-title":"Improved Land-use\/Land-cover classification of semi-arid deciduous forest landscape using thermal remote sensing","volume":"18","author":"Sinha","year":"2015","journal-title":"Egypt. J. Remote Sens. Space Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1080\/13658810210137004","article-title":"Neural-network-based cellular automata for simulating multiple land use changes using GIS","volume":"16","author":"Li","year":"2002","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.ocecoaman.2014.09.022","article-title":"Competing visions? Simulating alternative coastal futures using a GIS-ANN web application","volume":"101","author":"Morgado","year":"2014","journal-title":"Ocean Coast. Manag."},{"key":"ref_35","first-page":"e00811","article-title":"Modeling land cover change based on an artificial neural network for a semiarid river basin in northeastern Brazil","volume":"21","author":"Silva","year":"2020","journal-title":"Glob. Ecol. Conserv."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1080\/15481603.2015.1137111","article-title":"Integrating cellular automata, artificial neural network, and fuzzy set theory to simulate threatened orchards: Application to Maragheh, Iran","volume":"53","author":"Azari","year":"2016","journal-title":"GIScience Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Naushad, R., Kaur, T., and Ghaderpour, E. (2021). Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study. Sensors, 21.","DOI":"10.3390\/s21238083"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Sol\u00f3rzano, J.V., Mas, J.F., Gao, Y., and Gallardo-Cruz, J.A. (2021). Land use land cover classification with U-net: Advantages of combining sentinel-1 and sentinel-2 imagery. Remote Sens., 13.","DOI":"10.3390\/rs13183600"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1750","DOI":"10.3390\/ijgi4031750","article-title":"Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo region-Egypt","volume":"4","author":"Megahed","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.foreco.2012.05.008","article-title":"Land-use and land-cover change in Atlantic Forest landscapes","volume":"278","author":"Lira","year":"2012","journal-title":"For. Ecol. Manag."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-Vega, J., D\u00edaz, A., Nava, J.M., Gallardo, M., and Echavarr\u00eda, P. (2017). Assessing land use-cover changes and modelling change scenarios in two mountain Spanish national parks. Environments, 4.","DOI":"10.3390\/environments4040079"},{"key":"ref_42","unstructured":"Fischer, M. (2006). Computational neural networks-tools for spatial data analysis. Spatial Analysis and GeoComputation: Selected Essays, Springer."},{"key":"ref_43","unstructured":"Fischer, M. (2006). Expert systems. Spatial Analysis and GeoComputation: Selected Essays, Springer."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"353","DOI":"10.2307\/3060633","article-title":"Artificial Intelligence in Geography","volume":"164","author":"Mather","year":"1998","journal-title":"Geogr. J."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1038\/ngeo756","article-title":"Deforestation driven by urban population growth and agricultural trade in the twenty-first century","volume":"3","author":"Defries","year":"2010","journal-title":"Nat. Geosci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1080\/01431160903475225","article-title":"Deforestation dynamics in Mato Grosso in the southern Brazilian Amazon using GIS and NOAA\/AVHRR data","volume":"32","author":"Yoshikawa","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_47","first-page":"35","article-title":"Evolution of deforestation in the brazilian pantanal and surroundings in the timeframe 1976\u20132008","volume":"36","author":"Silva","year":"2011","journal-title":"Geografia"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"33543","DOI":"10.1117\/1.3223675","article-title":"Automated mapping of tropical deforestation and forest degradation: CLASlite","volume":"3","author":"Asner","year":"2009","journal-title":"J. Appl. Remote Sens."},{"key":"ref_49","first-page":"25","article-title":"Temporal dynamics of land use and cover in Paur\u00e1 Lagoon region, Middle Coast of Rio Grande do Sul (RS), Brazil","volume":"18","author":"Miranda","year":"2018","journal-title":"J. Integr. Coast. Zone Manag."},{"key":"ref_50","first-page":"611","article-title":"Din\u00e2mica do uso e coberura da tarra do munic\u00edpio de Floresta, PE","volume":"43","author":"Silva","year":"2013","journal-title":"Embrapa Semi\u00e1rido-Artig. Peri\u00f3dico Indexado"},{"key":"ref_51","first-page":"6817","article-title":"Din\u00e2mica do uso e cobertura da terra na bacia hidrogr\u00e1fica do rio Aquidauana, MS","volume":"1","author":"Rodrigues","year":"2017","journal-title":"Os Desafios da Geografia F\u00edsica na Fronteira do Conhecimento"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"485","DOI":"10.18472\/SustDeb.v11n3.2020.32395","article-title":"Methodological proposal to analyze land use and land cover changes: The case of Santa Catarina state in Brazil from 2000 to 2010","volume":"11","author":"Souza","year":"2020","journal-title":"Sustentabilidade em Debate"},{"key":"ref_53","unstructured":"Epagri\/Cepa (2019). S\u00edntese Anual da Agricultura de Santa Catarina, Epagri."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.agee.2003.09.008","article-title":"Detecting important categorical land changes while accounting for persistence","volume":"101","author":"Pontius","year":"2004","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Peponi, A., Morgado, P., and Trindade, J. (2019). Combining Artificial Neural Networks and GIS Fundamentals for Coastal Erosion Prediction Modeling. Sustainability, 11.","DOI":"10.3390\/su11040975"},{"key":"ref_56","unstructured":"Santa Catarina (2010). Decreto no 2.957, de 20 de janeiro de 2010, Gov. do Estado St. Catarina."},{"key":"ref_57","unstructured":"Zuchiwschi, E. (2013). Fatores de Influ\u00eancia na Conserva\u00e7\u00e3o e Manejo de Florestas Nativas em Unidades de Produ\u00e7\u00e3o Agr\u00edcolas do Corredor Ecol\u00f3gico Chapec\u00f3, Universidade Federal de Santa Catarina."},{"key":"ref_58","unstructured":"Socioambiental (2009). Plano de Gest\u00e3o do Corredor Ecol\u00f3gico Chapec\u00f3, Santa Catarina. Relat\u00f3rio T\u00e9cnico, Assoc. e Funda\u00e7\u00e3o do Meio Ambient. Socioambiental Consult."},{"key":"ref_59","unstructured":"(2020, August 01). Secretaria de Estado do Planejamento: Diretoria de Geografia e Cartografia. Mapa Pol\u00edtico de Santa Catarina\u20141:500,000, Available online: http:\/\/arcgis.ciram.sc.gov.br:6080\/arcgis\/rest\/services\/ESTACOES_METEO\/Estudo_OMM_Estacoes\/MapServer\/5."},{"key":"ref_60","unstructured":"(2020, August 01). ArcWorld Supplement. Esri Data & Maps Media Kit. World Continents\u20141:15,000,000. Available online: https:\/\/www.greeni.nl\/iguana\/CMS.MetaDataEditDownload.cls?file=2:123155:2."},{"key":"ref_61","unstructured":"(2020, June 30). IBGE-Instituto Brasileiro de Geografia e Estat\u00edsitca. SIDRA\u2014Sistema IBGE de Recupera\u00e7\u00e3o Autom\u00e1tica, Available online: https:\/\/sidra.ibge.gov.br\/home\/pms\/brasil."},{"key":"ref_62","unstructured":"(2020, July 10). IBGE-Instituto Brasileiro de Geografia e Estat\u00edsitca Estimativas da popula\u00e7\u00e3o, Available online: https:\/\/www.ibge.gov.br\/estatisticas\/sociais\/populacao\/9103-estimativas-de-populacao.html?=&t=o-que-e."},{"key":"ref_63","unstructured":"Minist\u00e9rio da Economia do Brasil (2020, June 05). RAIS\u2014Rela\u00e7\u00e3o Anual de Informa\u00e7\u00f5es Sociais, Available online: https:\/\/bi.mte.gov.br\/bgcaged."},{"key":"ref_64","unstructured":"Klein, R. (1978). Mapa Fitogeogr\u00e1fico do Estado de Santa Catarina, Herb\u00e1rio Barbosa Rodrigues. Flora Ilustrada Catarinense."},{"key":"ref_65","unstructured":"Scheibe, L.F., Benedet, C., Guilardi, L., Nierdele, S., and Veiga, S.M. (2014). Cadernos Geogr\u00e1ficos. Din\u00e2mica Territorial na Regi\u00e3o de Chapec\u00f3: Estrat\u00e9gias e Conflitos, Universidade Federal de Santa Catarina, Centro de Filosofia e Ci\u00eancias Humanas, Departamento de Geoci\u00eancias, Imprensa Departamento de Geoci\u00eancias."},{"key":"ref_66","unstructured":"Embrapa (2004). Solos do Estado de Santa Catarina: Boletim de Pesquisa e Desenvolvimento, Embrapa Solos."},{"key":"ref_67","unstructured":"Santa Catarina (1994). Manual de Uso e Conservacao do Solo e da Agua: Projeto de Recuperacao, Conservacao e Manejo dos Recursos Naturais em Microbacias Hidrograficas, Secretaria de Estado da Agricultura e Abastecimento, Epagri."},{"key":"ref_68","first-page":"13","article-title":"Atlas climatol\u00f3gico digital do Estado de Santa Catarina","volume":"1","author":"Pandolfo","year":"2002","journal-title":"Florian\u00f3polis Epagri"},{"key":"ref_69","unstructured":"(2020, August 01). Projeto MapBiomas Cole\u00e7\u00e3o 4.1 da S\u00e9rie Anual de Mapas de Cobertura e Uso de Solo do Brasil. Projeto MapBiomas. Available online: https:\/\/mapbiomas.org\/."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Lambin, E.F., and Geist, H. (2006). Global Land-Cover Change: Recent Progress, Remaining Challenges. Land-Use and Land-Cover Change, Springer.","DOI":"10.1007\/3-540-32202-7"},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Lambin, E.F., and Geist, H. (2006). Local Process and Global Impacts. Land-Use and Land-Cover Change, Springer.","DOI":"10.1007\/3-540-32202-7"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"104723","DOI":"10.1016\/j.landusepol.2020.104723","article-title":"Land use and land cover scenarios: An interdisciplinary approach integrating local conditions and the global shared socioeconomic pathways","volume":"97","author":"Gomes","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_73","unstructured":"(2020, June 25). National Imagery and Mapping Agency\u2014NIMA e a National Aeronautics and Space Administration-NASA. SRTM\u2014Shuttle Radar Topography Mission, Available online: https:\/\/www2.jpl.nasa.gov\/srtm\/."},{"key":"ref_74","unstructured":"(2020, July 01). OSM-OpenStreetMap. OpenStreetMap Data Extracts. Available online: https:\/\/download.geofabrik.de\/."},{"key":"ref_75","unstructured":"(2020, June 25). Epagri\/IBGE Folhas Topogr\u00e1ficas de Santa Catarina 1:50,000, Available online: https:\/\/ciram.epagri.sc.gov.br\/mapoteca\/."},{"key":"ref_76","unstructured":"Centro de Socioeconomia e Planejamento Agr\u00edcola\u2014Epagri\/Cepa (2020, September 10). Pre\u00e7o das Terras Agr\u00edcolas, Available online: https:\/\/cepa.epagri.sc.gov.br\/index.php\/produtos\/mercado-agricola\/precos-de-terra-agricola\/."},{"key":"ref_77","unstructured":"(2020, July 21). PNUD\u2014Programa das Na\u00e7\u00f5es para o Desenvolvimento. Atlas do Desenvolvimento Hunano no Brasil. Available online: http:\/\/www.atlasbrasil.org.br\/."},{"key":"ref_78","unstructured":"ESRI (2017). ArcGIS 10.7, ESRI."},{"key":"ref_79","unstructured":"Clark Labs (2012). IDRISI Selva, IDRISI Production, Clark Labs-Clark University."},{"key":"ref_80","unstructured":"Da Costa Gomes, E.J. (2019). Mod\u00e9liser L\u2019occupation du sol au Prisme des Intentions des Agriculteurs: Une Approche \u00e0 Base D\u2019agents, \u2019Universit\u00e9 Paris 1\u2014Panth\u00e9on\u2014Sorbonne et de l\u2019Universit\u00e9 de Lisbonne."},{"key":"ref_81","unstructured":"DGT (2014). Identifica\u00e7\u00e3o das Principais For\u00e7as Motrizes em Termos de Pol\u00edticas P\u00fablicas na Altera\u00e7\u00e3o da Ocupa\u00e7\u00e3o do Solo em Portugal Continental. Uso e Ocupa\u00e7\u00e3o do Solo em Portugal Continental Avalia\u00e7\u00e3o e Cen\u00e1rio Futuros Projeto LANDYN, DGT."},{"key":"ref_82","unstructured":"DGT (2014). Uso e Ocupa\u00e7\u00e3o do Solo em Portugal Continental:Avalia\u00e7\u00e3o e Cen\u00e1rios Futuros Projeto LANDYN, Dire\u00e7\u00e3o-Geral do Territ\u00f3rio (DGT)."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1016\/S0198-9715(01)00015-1","article-title":"Using neural networks and GIS to forecast land use changes: A Land Transformation Model","volume":"26","author":"Pijanowski","year":"2002","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Abbas, Z., Yang, G., Zhong, Y., and Zhao, Y. (2021). Spatiotemporal change analysis and future scenario of lulc using the CA-ANN approach: A case study of the greater bay area, China. Land, 10.","DOI":"10.3390\/land10060584"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Rahman, M.T.U., and Esha, E.J. (2020). Prediction of land cover change based on CA-ANN model to assess its local impacts on Bagerhat, southwestern coastal Bangladesh. Geocarto Int., 1\u201323.","DOI":"10.1080\/10106049.2020.1831621"},{"key":"ref_86","first-page":"5","article-title":"Land-cover modelling using corine land cover data and multi-layer perceptron","volume":"33","author":"Dzieszko","year":"2014","journal-title":"Quaest. Geogr."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Bekesiene, S., Smaliukiene, R., and Vaicaitiene, R. (2021). Using artificial neural networks in predicting the level of stress among military conscripts. Mathematics, 9.","DOI":"10.3390\/math9060626"},{"key":"ref_88","unstructured":"IBM Corp (2016). IBM SPSS Statistics for Windows, IBM Corp.. Version 24.0."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"531","DOI":"10.3233\/IDA-130592","article-title":"ROC analysis of classifiers in machine learning: A survey","volume":"17","author":"Majnik","year":"2013","journal-title":"Intell. Data Anal."},{"key":"ref_90","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-A review. Remote Sens., 12.","DOI":"10.3390\/rs12071135"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0167-8809(01)00187-6","article-title":"Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA","volume":"85","author":"Pontius","year":"2001","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1080\/13658816.2013.862623","article-title":"The total operating characteristic to measure diagnostic ability for multiple thresholds","volume":"28","author":"Pontius","year":"2014","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1097\/JTO.0b013e3181ec173d","article-title":"Receiver operating characteristic curve in diagnostic test assessment","volume":"5","author":"Mandrekar","year":"2010","journal-title":"J. Thorac. Oncol."},{"key":"ref_94","unstructured":"Cristiano, M.V.M.B. (2017). Sensibilidade e Especificidade na Curva ROC Um Caso de Estudo. [Master\u2019s Thesis, Faculdade de Medicina, Universidade do Porto]."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Souza, C.M., Shimbo, J.Z., Rosa, M.R., Parente, L.L., Alencar, A.A., Rudorff, B.F.T., Hasenack, H., Matsumoto, M., Ferreira, L.G., and Souza-Filho, P.W.M. (2020). Reconstructing three decades of land use and land cover changes in brazilian biomes with landsat archive and earth engine. Remote Sens., 12.","DOI":"10.3390\/rs12172735"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1590\/S1519-69842012000400006","article-title":"The southern Brazilian grassland biome: Soil carbon stocks, fluxes of greenhouse gases and some options for mitigation","volume":"72","author":"Pillar","year":"2012","journal-title":"Braz. J. Biol."},{"key":"ref_97","first-page":"132","article-title":"Contribution of southern Brazil to the climate and biodiversity conservation agenda","volume":"1","author":"Krob","year":"2021","journal-title":"Rev. Bio Divers."},{"key":"ref_98","first-page":"132","article-title":"Degrada\u00e7\u00e3o da biodiversidade e as metas de aichi no mundo e no Brasil: Um balan\u00e7o dos avan\u00e7os e das perspectivas","volume":"1","author":"Dias","year":"2021","journal-title":"Bio Diverso"},{"key":"ref_99","unstructured":"(2014). O Uso e Ocupa\u00e7\u00e3o do Solo. Uso e Ocupa\u00e7\u00e3o do Solo em Portugal Continental Avalia\u00e7\u00e3o e Cen\u00e1rio Futuros Projeto Landyn, DGT."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/j.agee.2005.10.019","article-title":"Random and systematic land-cover transitions in northern Ghana","volume":"113","author":"Braimoh","year":"2006","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_101","unstructured":"Centro de Socioeconomia e Planejamento Agr\u00edcola\u2014Epagri\/Cepa (2022, January 12). Infoagro\u2014Produ\u00e7\u00e3o Florestal, Available online: https:\/\/www.infoagro.sc.gov.br\/index.php\/safra\/producao-florestal."},{"key":"ref_102","unstructured":"Pillar, V.D.P., M\u00fcller, S.C., de Castilhos, S.Z.M., and Jacques, A.V.A. (2009). Campos Sulinos\u2014Conserva\u00e7\u00e3o e Uso Sustent\u00e1vel da Biodiversidade, MMA."},{"key":"ref_103","unstructured":"(2022, January 25). Brasil. Lei no 12.651, de 25 de Maio de 2012. Estabelece o C\u00f3digo Florest. Bras, Available online: http:\/\/www.planalto.gov.br\/ccivil_03\/_ato2011-2014\/2012\/lei\/l12651.htm."},{"key":"ref_104","unstructured":"Centro de Socioeconomia e Planejamento Agr\u00edcola\u2014Epagri\/Cepa (2022, January 12). Com\u00e9rcio Exterior, Available online: https:\/\/cepa.epagri.sc.gov.br\/index.php\/produtos\/comercio-exterior\/."}],"container-title":["Sustainability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2071-1050\/14\/7\/4038\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:45:45Z","timestamp":1760136345000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2071-1050\/14\/7\/4038"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,29]]},"references-count":104,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2022,4]]}},"alternative-id":["su14074038"],"URL":"https:\/\/doi.org\/10.3390\/su14074038","relation":{},"ISSN":["2071-1050"],"issn-type":[{"value":"2071-1050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,29]]}}}