Comparison of land cover spatial trend model and real land cover changes: case study of Slovak Republic

References

• Aburas MM, Abdullah SH, Ramli MF, Ash'aari ZH, Ahamad MSS. 2018. Simulating and monitoring future land-use trends using CA-Markov and LCM models. IOP Conf Ser: Earth Environ Sci. 169:012050. doi:10.1088/1755-1315/169/1/012050.
   Google Scholar
• Anand J, Gosain AK, Khosa R. 2018. 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. Sci Total Environ. 644:503–519.
   PubMed Web of Science ®Google Scholar
• Anand V, Oinam B. 2020. Future land use land coverprediction with special emphasis on urbanization and wetlands. Remote Sens Lett. 11(3):225–234.
   Web of Science ®Google Scholar
• Azari M, Billa L, Chan A. 2022. Multi-temporal analysis of past and future land cover change in the highly urbanized state of Selangor, Malaysia. Ecol Process. 11(2). doi:10.1186/s13717-021-00350-0.
   Google Scholar
• Badreldin N, Goossens R. 2014. Monitoring land use/land cover change using multi-temporal Landsat satellite images in an arid environment: A case study of El-Arish, Egypt. Arab J Geosci. 7(5):1671–1681.
   Web of Science ®Google Scholar
• Beardsley K, Thorne JH, Roth NE, Gao S, McCoy MC. 2009. Assessing the influence of rapid urban growth and regional policies on biological resources. Landsc Urban Plan. 93(3-4):172–183. 3
   Web of Science ®Google Scholar
• Benhizia R, Kouba Y, Szabó G, Négyesi G, Ata B. 2021. Monitoring the spatiotemporal evolution of the Green Dam in Djelfa Province, Algeria. Sustainability. 13(14):7953.
   Web of Science ®Google Scholar
• Corine Land Cover. 2021. [accessed 2021 august 10]. https://land.copernicus.eu/pan-european/corine-land-cover.
   Google Scholar
• de Noblet-Ducoudré N, Boisier J-P, Pitman A, Bonan GB, Brovkin V, Cruz F, Delire C, Gayler V, van den Hurk BJJM, Lawrence PJ, et al. 2012. Determining robust impacts of land-use-induced land cover changes on surface climate over North America and Eurasia: results from the first set of LUCID experiments. J Climate. 25(9):3261–3281.
   Web of Science ®Google Scholar
• Dewan AM, Yamaguchi Y, Ziaur Rahman M. 2012. Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka metropolitan, Bangladesh. Geojournal. 77(3):315–330.
   Google Scholar
• Eastman JR. 2016. IDRISI terrset manual. Worcester (MA): Clark Labs, Clark University.
   Google Scholar
• Evenden E, Pontius RG. Jr 2021. Encoding a categorical independent variable for input to TerrSet’s multi-layer perceptron. IJGI. 10(10):686.
   Google Scholar
• Falťan V, Pazúrová Z. 2010. Hodnotenie poškodenia vegetácie veternou kalamitou na rôznych typoch geotopov v okolí Danielovho domu (Vysoké Tatry). Geografický Časopis. 62:75–88.
   Google Scholar
• Gibson L, Münch Z, Palmer A, Mantel S. 2018. Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management. Heliyon. 4(7):e00693.
   PubMed Web of Science ®Google Scholar
• Gupta R, Sharma LK. 2020. Efficacy of Spatial Land Change Modeler as a forecasting indicator for anthropogenic change dynamics over five decades: a case study of Shoolpaneshwar Wildlife Sanctuary, Gujarat, India. Ecol Indicator. 112:106171.
   Web of Science ®Google Scholar
• Halmy MWA, Gessler PE, Hicke JA, Salem BB. 2015. Land use/land cover change detection and prediction in the north-western coastal desert of Egypt using Markov-CA. Appl Geogr. 63:101–112.
   Web of Science ®Google Scholar
• Han H, Yang C, Song J. 2015. Scenario simulation and the prediction of land use and land cover change in Beijing, China. Sustainability. 7(4):4260–4279.
   Web of Science ®Google Scholar
• Han J, Kamber M. 2001. Data mining: concepts and techniques.San Francisco (CA): Morgan Kaufmann Publishers.
   Google Scholar
• Hasan S, Shi W, Zhu X, Abbas S, Khan HUA. 2020. Future simulation of land use changes in rapidly urbanizing South China based on land change modeler and remote sensing data. Sustainability. 12(11):4350.
   Web of Science ®Google Scholar
• Heistermann M, Muller C, Ronneberger K. 2006. Land in sight? Achievements, deficits, and potentials of continental to global scale land-use modeling. Agric Ecosyst Environ. 114(2-4):141–158.
   Web of Science ®Google Scholar
• Hubacek K, Sun L. 2001. A scenario analysis of China’s land use and land cover change: incorporating biophysical information into input–output modeling. Struct Econ Dynam. 12(4):367–397.
   Google Scholar
• Iacono M, Levinson D, El-Geneidy A, Wasfi R. 2015. A Markov chain model of land use change in the Twin Cities, 1958–2005. Tema J Land Use Mobil Environ. 8(3):263–276.
   Google Scholar
• Khoi DD, Murayama Y. 2011. Modeling deforestation using a neural network-Markov model. In Murayama Y, Thapa RB, editors. Spatial analysis and modeling in geographical transformation process: GIS-based applications. New York (NY): Springer.
   Google Scholar
• Khoshnood Motlagh S, Sadoddin A, Haghnegahdar A, Razavi S, Salmanmahiny A, Ghorbani K. 2021. Analysis and prediction of land cover changes using the land change modeler (LCM) in a semiarid river basin, Iran. Land Degrad Dev. 32(10):3092–3105.
   Web of Science ®Google Scholar
• Khoshnoodmotlagh S, Verrelst J, Daneshi A, Mirzaei M, Azadi H, Haghighi M, Hatamimanesh M, Marofi S. 2020. Transboundary basins need more attention: anthropogenic impacts on land cover changes in Aras River Basin, monitoring and prediction. Remote Sens. 12(20):3329.
   Google Scholar
• Kidron GJ, Karnieli A, Benenson I, Grinblat Y. 2015. Simulating land-use degradation in West Africa with the ALADYN model. J Arid Environ. 112:52–63.
   Web of Science ®Google Scholar
• Kim OS. 2010. An assessment of deforestation models for reducing emissions from deforestation and forest degradation (REDD). Trans GIS. 14(5):631–654.
   Web of Science ®Google Scholar
• Kityuttachai K, Tripathi NK, Tipdecho T, Shrestha R. 2013. CA-Markov analysis of constrained coastal urban growth modeling: Hua Hin Seaside City, Thailand. Sustainability. 5(4):1480–1500.
   Web of Science ®Google Scholar
• Kolb M, Mas JF, Galicia L. 2013. Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico. Int J Geograph Inform Sci. 27(9):1804–1827.
   Web of Science ®Google Scholar
• Kruhlov I, Thom D, Chaskovskyy O, Keeton W, Scheller R. 2018. Future forest landscapes of the Carpathians: vegetation and carbon dynamics under climate change. Reg Environ Change. 18(5):1555–1513.
   Web of Science ®Google Scholar
• Kumar KS, Bhaskar PU, Padmakumari K. 2015. Application of land change modeler for prediction of future land use land cover: a case study of Vijayawada city. Int J Adv Technol Eng Sci. 3:773–783.
   Google Scholar
• Lambin EF, Geist HJ. 2008. Land-use and land-cover change: local processes and global impacts. Berlin/Heidelberg: Springer-Verlag.
   Google Scholar
• Leta MK, Demissie TA, Tränckner J. 2021. Modeling and prediction of land use land cover change dynamics based on land change modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia. Sustainability. 13(7):3740.
   Web of Science ®Google Scholar
• Liu T, Yang X. 2015. Land change modeling: status and challenges. In Li J, Yang X., editors. Monitoring and modeling of global changes: a geomatics perspective. Springer Remote Sensing/Photogrammetry. Dordrecht: Springer, p. 3–16.
   Google Scholar
• Luo GP, Feng YX, Zhang BP, Chen WM. 2010. Sustainable land-use patterns for arid lands: A case study in the northern slope areas of the Tianshan Mountains. J Geogr Sci. 20(4):510–524.
   Web of Science ®Google Scholar
• MacCracken M. 2001. Prediction versus projection–forecast versus possibility. Weather Zine 26. [accessed 2021 August 28]. https://sciencepolicy.colorado.edu/zine/archives/1-29/26/guest.html.
   Google Scholar
• Manson SM. 2007. Challenges in evaluating models of geographic complexity. Environ Plann B Plann Des. 34(2):245–260.
   Google Scholar
• Mas J, Kolb M, Paegelow M, Camacho O, María T, Houet T. 2014. Inductive pattern-based land use/cover change models: A comparison of four software packages. Environ Model Softw. 51:94–111.
   Web of Science ®Google Scholar
• Megahed Y, Cabral P, Silva J, Caetano M. 2015. Land cover mapping analysis and urban growth modelling using remote sensing techniques in greater Cairo Region—Egypt. IJGI. 4(3):1750–1769.
   Google Scholar
• Mejean R, Paegelow M, Saqalli M, Kaced D. 2020. Improving business-as-usual scenarios in land change modelling by extending the calibration period and integrating demographic Data. In Kyriakidis P. Hadjimitsis D. Skarlatos D. Mansourian A. (eds) Geospatial technologies for local and regional development. AGILE 2019. Lecture Notes in Geoinformation and Cartography. Springer, Cham.
   Google Scholar
• Messina JP, Evans TP, Manson SM, Shortridge AM, Deadman PJ, Verburg PH. 2008. Complex systems models and the management of error and uncertainty. J Land Use Sci. 3(1):11–25.
   Google Scholar
• Mihailescu D, Cîmpeanu SM. 2019. Multi-temporal analysis of land cover changes in Oltenia plain, using Terrset Land Change Modeler. AgroLife Sci J. 8:82–91.
   Google Scholar
• Nourqolipour R, Mohamed Shariff ARB, Balasundram SK, Ahmad NB, Sood AM, Buyong T, Amiri F. 2015. A GIS-based model to analyze the spatial and temporal development of oil palm land use in Kuala Langat district, Malaysia. Environ Earth Sci. 73(4):1687–1700.
   Web of Science ®Google Scholar
• Pazúr R, Bolliger J. 2017. Land changes in Slovakia: past processes and future directions. Appl Geograph. 85:163–175.
   Web of Science ®Google Scholar
• Pickard B, Gray J, Meentemeyer R. 2017. Comparing quantity, allocation and configuration accuracy of multiple land change models. Land. 6(3):52.
   Web of Science ®Google Scholar
• Pinos J, Dobešová Z. 2019. ATTA converter: software for converting data between ArcGIS and TerrSet. Earth Sci Inform. 12(1):117–127.
   Web of Science ®Google Scholar
• Pontius RG, Jr, Petrova S. 2010. Assessing a predictive model of land change using uncertain data. Environ Model Softw. 25(3):299–309.
   Web of Science ®Google Scholar
• Prestele R, Alexander P, Rounsevell MD, Arnet A, Calvin K, Doelman J, Eitelberg D, Engström K, Fujimori S, Hasegawa N, et al. 2016. Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison. Glob Chang Biol. 22(12):3967–3983.
   PubMed Web of Science ®Google Scholar
• Rawart JS, Biswas V, Kumar M. 2013. Changes in land use/cover using geospatial techniques: a case study of Ramnagar town area, district Nainital, Uttarakhand, India. Egypt J Remote Sens Space Sci. 16:111–117.
   Google Scholar
• Sangermano F, Toledano J, Eastman JR. 2012. Land cover change in the Bolivian Amazon and its implications for REDD + and endemic biodiversity. Landscape Ecol. 27(4):571–584.
   Web of Science ®Google Scholar
• Schaldach R, Alcamo J, Koch J, Kölking C, Lapola DM, Schüngel J, Priess JA. 2011. An integrated approach to modelling land-use change on continental and global scales. Environ Model Softw. 26(8):1041–1051.
   Web of Science ®Google Scholar
• Schulp CJE, Levers C, Kuemmerle T, Tieskens KF, Verburg PH. 2019. Mapping and modelling past and future land use change in Europe’s cultural landscapes. Land Use Policy. 80:332–344.
   Web of Science ®Google Scholar
• Seidl R, Schelhaas MJ, Lexer MJ. 2011. Unraveling the drivers of intensifying forest disturbance regimes in Europe. Global Change Biol. 17(9):2842–2852.
   Web of Science ®Google Scholar
• Seidl R, Schelhaas MJ, Rammer W, Verkerk PJ. 2014. Increasing forest disturbances in Europe and their impact on carbon storage. Nat Clim Chang. 4(9):806–810.
   PubMed Web of Science ®Google Scholar
• Shahi E, Karimi S, Jafari HR. 2020. Monitoring and modeling land use/cover changes in Arasbaran protected Area using and integrated Markov chain and artificial neural network. Model Earth Syst Environ. 6(3):1901–1911.
   Web of Science ®Google Scholar
• Sharma R, Nehren U, Rahman SA, Meyer M, Rimal B, Aria Seta G, Baral H. 2018. Modeling land use and land cover changes and their effects on biodiversity in Central Kalimantan, Indonesia. Land. 7(2):57.
   Web of Science ®Google Scholar
• Shooshtarian MR, Dehghani M, Margherita F, Gea OC, Mortezazadeh S. 2018. Land use change and conversion effects on ground water quality trends: an integration of land change modeler in GIS and a new Ground Water Quality Index developed by fuzzy multi-criteria group decision-making models. Food Chem Toxicol. 114:204–214.
   PubMed Web of Science ®Google Scholar
• Sinha RK, Eldho TI, Subimal G. 2020. Assessing the impacts of historical and future land use and climate change on the streamflow and sediment yield of a tropical mountainous river basin in South India. Environ Monit Assess. 192(11):2097–2115.
   Web of Science ®Google Scholar
• Sohl TL, Wimberly MC, Radeloff VC, Theobald DM, Sleeter BM. 2016. Divergent projections of future land use in the United States arising from different models and scenarios. Ecol Model. 337:281–297.
   Web of Science ®Google Scholar
• Stepanov O, Câmara G, Verstegen JA. 2020. Quantifying the effect of land use change model coupling. Land. 9(2):52.
   Web of Science ®Google Scholar
• Twisa S, Buchroithner MF. 2019. Land-use and land-cover (LULC) change detection in Wami River Basin, Tanzania. Land. 8(9):136.
   Web of Science ®Google Scholar
• van Asselen S, Verburg PH. 2013. Land cover change or land-use intensification: simulating land system change with a global-scale land change model. Glob Chang Biol. 19(12):3648–3667.
   PubMed Web of Science ®Google Scholar
• van Vliet J, Bregt AK, Brown DG, van Delden H, Heckbert S, Verburg PH. 2016. A review of current calibration and validation practices in land-change modeling. Environ Model Softw. 82:174–182.
   Web of Science ®Google Scholar
• Verburg PH, Eickhout B, Meijl HV. 2008. A multi-scale, multi-model approach for analyzing the future dynamics of European land use. Ann Reg Sci. 42(1):57–77.
   Web of Science ®Google Scholar
• Verburg PH, Schot PP, Dijst MJ, Veldkamp A. 2004. Land use change modelling: Current practice and research priorities. Geojournal. 61(4):309–324.
   Google Scholar
• Verburg PH. 2006. Simulating feedbacks in land use and land cover change models. Landscape Ecol. 21(8):1171–1183.
   Web of Science ®Google Scholar
• Zabihi M, Moradi H, Gholamalifard M, Khaledi Darvishan A, Fürst C. 2020. Landscape management through change processes monitoring in Iran. Sustainability. 12(5):1753.
   Web of Science ®Google Scholar
• Žoncová M, Hronček P, Gregorová B. 2020. Mapping of the land cover changes in high mountains of Western Carpathians between 1990–2018: case study of the Low Tatras National Park (Slovakia). Land 9. 9(12):483.
   Web of Science ®Google Scholar
• Žoncová M. 2020. Land cover changes in protected areas of Slovakia between 1990 and 2018. AGS. 60(2):71–89.
   Google Scholar