Land Use Cover Mapping, Modelling and Validation. A Background

  1. García-Álvarez, David
  2. Camacho Olmedo, María Teresa
  3. Mas, Jean-François
  4. Paegelow, Martin
Libro:
Land Use Cover Datasets and Validation Tools

ISBN: 9783030909970 9783030909987

Año de publicación: 2022

Páginas: 21-33

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-030-90998-7_2 GOOGLE SCHOLAR lock_openAcceso abierto editor

Información de financiación

Referencias bibliográficas

  • Abreu CG, Ralha CG (2017) Uncertainty Assessment in Agent-Based Simulation: An Exploratory Study. In: Negotiation and Argumentation in Multi-Agent Systems. pp 36–50
  • Anderson JR, Hardy EE, Roach JT, Witmer RE (1976) A Land Use and Land Cover Classification System for Use with Remote Sensor Data
  • Antoni JP, Judge V, Vuidel G, Klein O (2018) Constraint Cellular Automata for Urban Development Simulation: An Application to the Strasbourg-Kehl Cross-Border Area. pp 293–306
  • Barber C (2019) Monitoring Land Change with USGS LCMAP Science Products. In: American Geophysical Union, Fall Meeting 2019
  • Bastin L, Buchanan G, Beresford A et al (2013) Open-source mapping and services for Web-based land-cover validation. Ecol Inform 14:9–16. https://doi.org/10.1016/j.ecoinf.2012.11.013
  • Belward AS, Skøien JO (2015) Who launched what, when and why; trends in global land-cover observation capacity from civilian earth observation satellites. ISPRS J Photogramm Remote Sens 103:115–128. https://doi.org/10.1016/j.isprsjprs.2014.03.009
  • Elzbieta B, Agnieszka J (2019) Intellectual Structure of CORINE Land Cover Research Applications in Web of Science: A Europe-Wide Review. Remote Sens 11:2017. https://www.mdpi.com/2072-4292/11/17/2017
  • Bontemps S, Herold M, Kooistra L et al (2012) Revisiting land cover observation to address the needs of the climate modeling community. Biogeosciences 9:2145–2157. https://doi.org/10.5194/bg-9-2145-2012
  • Brovelli MA, Minghini M, Molinari ME et al (2018) Capacity building for high-resolution land cover intercomparison and validation: What is available and what is needed. Int Arch Photogramm Remote Sens Spat Inf Sci - ISPRS Arch 42:15–22. https://doi.org/10.5194/isprs-archives-XLII-4-W8-15-2018
  • Brown DG, Verburg PH, Pontius RG Jr, Lange MD (2013) Opportunities to improve impact, integration, and evaluation of land change models. Curr Opin Environ Sustain 5:452–457. https://doi.org/10.1016/j.cosust.2013.07.012
  • Brown G (2013) The relationship between social values for ecosystem services and global land cover: An empirical analysis. Ecosyst Serv 5:58–68. https://doi.org/10.1016/j.ecoser.2013.06.004
  • Bruzzone L, Demir B (2014) A Review of Modern Approaches to Classification of Remote Sensing Data. In: Manakos I, Braun M (eds) Land Use and Land Cover Mapping in Europe. Springer, Practices & Trends, pp 127–143
  • Bürgi M, Hersperger AM, Schneeberger N (2005) Driving forces of landscape change - current and new directions. Landsc Ecol 19:857–868. https://doi.org/10.1007/s10980-005-0245-3
  • Burnicki AC, Brown DG, Goovaerts P et al (2010) Propagating error in land-cover-change analyses: impact of temporal dependence under increased thematic complexity. Int J Geogr Inf Sci 24:1043–1060. https://doi.org/10.1080/13658810903279008
  • Camacho Olmedo MT, Paegelow M, Mas JF, Escobar F (2018) Geomatic Approaches for Modeling Land Change Scenarios. An Introduction. Springer, Cham, Switzerland
  • Campbell JB (1983) Mapping the land: aerial imagery for land use information
  • Campbell JB, Wynne RH (2011) Introduction to remote sensing, 5th edn. The Guilford Press, New York, London
  • Carlson TN, Traci Arthur S (2000) The impact of land use - Land cover changes due to urbanization on surface microclimate and hydrology: A satellite perspective. Glob Planet Change 25:49–65. https://doi.org/10.1016/S0921-8181(00)00021-7
  • Castilla G, Hay GJ (2007) Uncertainties in land use data. Hydrol Earth Syst Sci 11:1857–1868. https://doi.org/10.5194/hess-11-1857-2007
  • Cebecauer T, Hofierka J (2008) The consequences of land-cover changes on soil erosion distribution in Slovakia. Geomorphology 98:187–198. https://doi.org/10.1016/j.geomorph.2006.12.035
  • Chrisman N (2010) Development in the Treatment of Spatial Data Quality. Fundam Spat Data Qual:21–30https://doi.org/10.1002/9780470612156.ch1
  • Chuvieco E (2016) Fundamentals of Satellite Remote Sensing. An environmental approach, 2 edition. CRC Press, Boca Raton
  • Clarke KC (2004) The limits of simplicity: toward geocomputational honesty in urban modeling. In: Atkinson P, Foody G, Darby S, Wu F (eds) Geodynamics. CRC Press, Boca Raton, pp 215–232
  • Collier, 2009.aCollier P (2009a) Mapping, Topographic. Int Encycl Hum Geogr 409–420https://doi.org/10.1016/B978-008044910-4.00073-0
  • Collier P (2009b) Photogrammetry/Aerial Photography. In: International Encyclopedia of Human Geography. pp 151–156
  • Comber A, Fisher P, Wadsworth R (2005) What is land cover? Environ Plan B Plan Des 32:199–209. https://doi.org/10.1068/b31135
  • Comber AJ (2008) The separation of land cover from land use using data primitives. J Land Use Sci 3:215–229. https://doi.org/10.1080/17474230802465173
  • Congalton RG, Gu J, Yadav K et al (2014) Global land cover mapping: A review and uncertainty analysis. Remote Sens 6:12070–12093. https://doi.org/10.3390/rs61212070
  • Conway TM (2009) The impact of class resolution in land use change models. Comput Environ Urban Syst 33:269–277. https://doi.org/10.1016/j.compenvurbsys.2009.02.001
  • Crone GR (2000) Historia de los mapas. Fondo de Cultura Económica, Madrid
  • Crooks AT, Heppenstall AJ (2012) Introduction to agent-based modelling. In: Heppenstall A, Crooks AT, See LM, Batty M (eds) Agent-Based Models of Geographical Systems. Springer, Dordrecht, Heidelberg, London, New York, pp 85–105
  • Cuo L, Lettenmaier DP, Alberti M, Richey JE (2009) Effects of a century of land cover and climate change on the hydrology of the Puget Sound basin. Hydrol Process 23:907–933. https://doi.org/10.1002/hyp.7228
  • Devillers R, Jeansoulin R (2006) Spatial Data Quality: Concepts. In: Fundamentals of Spatial Data Quality. ISTE, London, UK, pp 31–42
  • Di Gregorio A, Jansen LJ (1998) Land Cover Classification System (LCCS): Classification Concepts and User Manual. FAO, Rome
  • Di Gregorio A, Latham J (2003) Africover Land Cover Classification and Mapping Project. In: Encyclopedia of Life Support Systems (EOLSS). pp 236–254
  • Diogo V, Koomen E (2016) Land Cover and Land Use Indicators: Review of available data
  • Eastman JR, Toledano J (2018) A Short Presentation of CA_MARKOV. In: Camacho Olmedo MT, Paegelow M, Mas J-F, Escobar F (eds) Geomatic Approaches for Modeling Land Change Scenarios. Springer, Cham, Switzerland, pp 481–484
  • Emery W, Camps A (2017) Introduction to Satellite Remote Sensing. Elsevier, Atmosphere, Ocean, Cryosphere and Land Applications
  • Escobar F, Van Delden H, Hewitt R (2018) LUCC Scenarios. In: Camacho Olmedo MT, Paegelow M, Mas J-F, Escobar F (eds) Geomatic Approaches for Modeling Land Change Scenarios. Springer, Cham, Switzerland, pp 81–97
  • Fassnacht KS, Cohen WB, Spies TA (2006) Key issues in making and using satellite-based maps in ecology: A primer. For Ecol Manage 222:167–181. https://doi.org/10.1016/j.foreco.2005.09.026
  • Feranec J, Hazeu G, Christensen S, Jaffrain G (2007) Corine land cover change detection in Europe (case studies of the Netherlands and Slovakia). Land Use Policy 24:234–247. https://doi.org/10.1016/j.landusepol.2006.02.002
  • Ferchichi A, Boulila W, Farah IR (2017) Reducing uncertainties in land cover change models using sensitivity analysis. Knowl Inf Syst. https://doi.org/10.1007/s10115-017-1102-9
  • Fisher P, Unwin D (2005) Land Use and land cover: Contradiction or Complement. In: Fisher P (ed) Re-Presenting GIS. Wiley, pp 85–98
  • Fonte CC, Bastin L, See L et al (2015) Usability of VGI for validation of land cover maps. Int J Geogr Inf Sci 29:1269–1291. https://doi.org/10.1080/13658816.2015.1018266
  • Fritz S, See L, Mccallum I et al (2015) Mapping global cropland and field size. Glob Chang Biol 21:1980–1992. https://doi.org/10.1111/gcb.12838
  • Fuller R, Groom GB, Jones AR (1994) The land cover map of Great Britain: an automated classification of Landsat TM data. Photogramm Eng Remote Sensing 60:553–562
  • Gallardo M (2014) Cambios de usos del suelo y simulación de escenarios en la Comunidad de Madrid. Universidad Complutense de Madrid https://eprints.ucm.es/id/eprint/25253/
  • García-Álvarez D (2018a) Aproximación al estudio de la incertidumbre en la modelización del Cambio de Usos y Coberturas del Suelo (LUCC). Universidad de Granadan https://digibug.ugr.es/handle/10481/52908
  • García-Álvarez D (2018b) The influence of scale in LULC modelling. A comparison between two different LULC maps (SIOSE and CORINE). In: Camacho Olmedo MT, Paegelow M, Mas J-F, Escobar F (eds) Geomatic Approaches for Modeling Land Change Scenarios. Springer, Cham, Switzerland, pp 187–213
  • García-Álvarez D, Camacho Olmedo MT (2017) Changes in the methodology used in the production of the Spanish CORINE: Uncertainty analysis of the new maps. Int J Appl Earth Obs Geoinf 63:55–67. https://doi.org/10.1016/j.jag.2017.07.001
  • García-Álvarez D, Camacho Olmedo MT, Paegelow M (2019a) Sensitivity of a common Land Use Cover Change (LUCC) model to the Minimum Mapping Unit (MMU) and Minimum Mapping Width (MMW) of input maps. Comput Environ Urban Syst 78:. https://doi.org/10.1016/j.compenvurbsys.2019.101389
  • García-Álvarez D, Van Delden H, Camacho Olmedo MT, Paegelow M (2019) Uncertainty Challenge in Geospatial Analysis: An Approximation from the Land Use Cover Change Modelling Perspective. In: Koutsopoulos K, de Miguel GR, Donert K (eds) Geospatial Challenges in the 21st Century. Springer, pp 289–314
  • Geoghegan J (1998) “Socializing the Pixel” and Pixelizing the Social” in Land-Use and Land-Cover Change. In: National Research Council (ed) People and Pixels: Linking Remote Sensing and Social Science. National Academies Press, pp 51–69
  • Giri CP (2016a) Remote sensing of land use and land cover: Principles and applications
  • Giri CP (2016b) Brief overview of remote sensing of land cover. In: Remote Sensing of Land Use and Land Cover: Principles and Applications. pp 3–12
  • Gong P, Yu L, Li C et al (2016) A new research paradigm for global land cover mapping. Ann GIS 22:87–102. https://doi.org/10.1080/19475683.2016.1164247
  • Green GM, Schweik CM, Randolph JC (2005) Linking Disciplines across Space and Time: Useful Concepts and Approaches for Land-Cover Change Studies. In: Moran EF, Ostrom E (eds) Seeing the Forest and the Trees: Human-environment Interactions in Forest Ecosystems. MIT Press
  • Grekousis G, Mountrakis G, Kavouras M (2015) An overview of 21 global and 43 regional land-cover mapping products. Int J Remote Sens 36:5309–5335. https://doi.org/10.1080/01431161.2015.1093195
  • Grinblat Y, Gilichinsky M, Benenson I (2016) Cellular Automata Modeling of Land-Use/Land-Cover Dynamics: Questioning the Reliability of Data Sources and Classification Methods. Ann Am Assoc Geogr 106:1299–1320. https://doi.org/10.1080/24694452.2016.1213154
  • Gutman G, Byrnes R, Masek J et al (2008) Towards monitoring land-cover and land-use changes at a global scale: The global land survey 2005. Photogramm Eng Remote Sensing 74:6–10
  • Gutman G, C. Janetos A, Cochrane COJ, et al (2012a) Land Change Science. Observing, Monitoring and Understanding Trajectories of Change on the Earth’s Surface. Springer Netherlands, Dordrecht
  • Gutman G, Justice C, Sheffner E, Loveland T (2012b) The NASA Land Cover and Land Use Change Program. In: Gutman G, C. Janetos A, Cochrane COJ, et al. (eds) Land Change Science. Remote Sensing and Digital Image Processing. Springer, pp 17–29
  • Herold M, Di Gregorio A (2012) Evaluating land-cover legends using the un land cover classification system. In: P. Giri C (ed) Remote Sensing of Land Use and Land Cover. Principles and Applications. CRC Press, pp 65–89
  • Herold M, See L, Tsendbazar NE, Fritz S (2016) Towards an integrated global land cover monitoring and mapping system. Remote Sens 8:1–11. https://doi.org/10.3390/rs8121036
  • Hewitt R, Van Delden H, Escobar F (2014) Participatory land use modelling, pathways to an integrated approach. Environ Model Softw 52:149–165. https://doi.org/10.1016/j.envsoft.2013.10.019
  • Houet T, Vacquié L, Sheeren D (2015) Evaluating the spatial uncertainty of future land abandonment in a mountain valley (Vicdessos, Pyrenees - France): Insights from model parameterization and experiments. J Mt Sci 12:1095–1112. https://doi.org/10.1007/s11629-014-3404-7
  • Hu H, Liu W, Cao M (2008) Impact of land use and land cover changes on ecosystem services in Menglun, Xishuangbanna, Southwest China. Environ Monit Assess 146:147–156. https://doi.org/10.1007/s10661-007-0067-7
  • Jacob BG, Regens JL, Mbogo CM et al (2003) Occurrence and Distribution of Anopheles (Diptera: Culicidae) Larval Habitats on Land Cover Change Sites in Urban Kisumu and Urban Malindi, Kenya. J Med Entomol 40:777–784. https://doi.org/10.1603/0022-2585-40.6.777
  • Janetos AC (2012) Research Directions in Land-Cover and Land-Use Change. In: Gutman G, C. Janetos A, Cochrane COJ, et al. (eds) Land Change Science. Remote Sensing and Digital Image Processing. Springer, pp 449–457
  • Jcgm JCFGIM (2008) Evaluation of measurement data — Guide to the expression of uncertainty in measurement. Int Organ Stand Geneva ISBN 50:134. https://doi.org/10.1373/clinchem.2003.030528
  • Johnson GD, Patil GP (1998) Quantitative multiresolution characterization of landscape patterns for assessing the status of ecosystem health in watershed management areas. Ecosyst Heal 4:177–187. https://doi.org/10.1046/j.1526-0992.1998.00091.x
  • Khatami R, Mountrakis G, Stehman SV (2016) A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research. Remote Sens Environ 177:89–100. https://doi.org/10.1016/j.rse.2016.02.028
  • Kolb M, Mas J-F, Galicia L (2013) Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico. Int J Geogr Inf Sci 27:1804–1827. https://doi.org/10.1080/13658816.2013.770517
  • Krüger C (2016) Uncertainties in land change modeling
  • Lawler JJ, O’Connor RJ, Hunsaker CT et al (2004) The effects of habitat resolution on models of avian diversity and distributions: A comparison of two land-cover classifications. Landsc Ecol 19:517–532. https://doi.org/10.1023/B:LAND.0000036151.28327.01
  • Lawrence PJ, Feddema JJ, Bonan GB et al (2012) Simulating the biogeochemical and biogeophysical impacts of transient land cover change and wood harvest in the Community Climate System Model (CCSM4) from 1850 to 2100. J Clim 25:3071–3095. https://doi.org/10.1175/JCLI-D-11-00256.1
  • Leyk S, Boesch R, Weibel R (2005) A conceptual framework for uncertainty investigation in map-based land cover change modelling. Trans GIS 9:291–322. https://doi.org/10.1111/j.1467-9671.2005.00220.x
  • Li H, Wu J (2006) Uncertainty analysis in ecological studies: an overview. In: Wu J, Jones KB, Li H, Loucks OL (eds) Scaling and Uncertainty Analysis in Ecology: Methods and Applications. Springer, Dordrecht, pp 45–66
  • Lloyd CD (2014) Exploring Spatial Scale in Geography. Wiley, Chichester
  • Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2011) Geographical Information Systems and Science, 2nd edn. Wiley, Chichester
  • Loveland TR (2016) History of land-cover mapping. In: P. Giri C (ed) Remote Sensing of Land Use and Land Cover: Principles and Applications. CRC Press, pp 13–22
  • Lu D, Mausel P, Brondízio E, Moran E (2004) Change detection techniques. Int J Remote Sens 25:2365–2401. https://doi.org/10.1080/0143116031000139863
  • Manakos I, Braun M (2014) Land Use and Land Cover Mapping in Europe. Practices & Trends. Springer, Dordrecht, Heidelberg, New York, London
  • Marshall CH, Pielke RA, Steyaert LT, Willard DA (2004) The impact of anthropogenic land-cover change on the Florida Peninsula Sea Breezes and warm season sensible weather. Mon Weather Rev 132:28–52. https://doi.org/10.1175/1520-0493(2004)132%3c0028:TIOALC%3e2.0.CO;2
  • Mas J-F, Kolb M, Paegelow M et al (2014) Inductive pattern-based land use/cover change models: A comparison of four software packages. Environ Model Softw 51:94–111. https://doi.org/10.1016/j.envsoft.2013.09.010
  • Mas J-F, Pérez-Vega A, Ghilardi A et al (2014) A Suite of Tools for Assessing Thematic Map Accuracy. Geogr J 2014:1–10. https://doi.org/10.1155/2014/372349
  • Mas J-F, Paegelow M, Camacho Olmedo MT (2018) LUCC modeling approaches to calibration. In: Camacho Olmedo MT, Paegelow M, Mas J-F, Escobar F (eds) Geomatic Approaches for Modeling Land Change Scenarios. Springer, Cham, Switzerland, pp 1–15
  • Mora B, Tsendbazar N-E, Herold M, Arino O (2014) Global Land Cover Mapping: Current Status and Future Trends. In: Manakos I, Braun M (eds) Land Use and Land Cover Mapping in Europe. Practices & Trends. Springer, Dordrecht, Heidelberg, New York, London, pp 11–30
  • Morain SA (1998) A brief history of remote sensing applications, with emphasis on Landsat. In: National Research Council (ed) People and Pixels: Linking Remote Sensing and Social Science. The National Academies, Washington, DC, pp 28–50
  • Morales-Barquero L, Lyons M, Phinn S, Roelfsema C (2019) Trends in Remote Sensing Accuracy Assessment Approaches in the Context of Natural Resources. Remote Sens 11:2305. https://doi.org/10.3390/rs11192305
  • Moran EF, Skole DL, Turner BL (2012) The Development of the International Land-Use and Land-Cover Change (LUCC) Research Program and Its Links to NASA’s Land-Cover and Land-Use Change (LCLUC) Initiative. In: Gutman G, Janetos AC, Justice CO et al (eds) Land Change Science. Springer, Netherlands, pp 1–15
  • Müller D, Munroe DK (2014) Current and future challenges in land-use science. J Land Use Sci 9:133–142. https://doi.org/10.1080/1747423X.2014.883731
  • Murayama Y (2012) Introduction: Geospatial Analysis. In: Progress in Geospatial Analysis. pp 1–9
  • National Research Council (2014) Advancing Land Change Modeling: Opportunities and Research Requirements. National Academies Press, Washington, D.C.
  • Nienkemper P, Menz G (2016) Thematic resolution in conservation monitoring - Assessment of the impact of classification detail on landscape analysis using the example of a biosphere reserve. Erdkunde 70:237–253. https://doi.org/10.3112/erdkunde.2016.03.03
  • O’Sullivan D, Perry GLW (2013) Spatial Simulation: Exploring Pattern and Process. Wiley, Chichester
  • Olofsson P, Foody GM, Stehman SV, Woodcock CE (2013) Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote Sens Environ 129:122–131. https://doi.org/10.1016/j.rse.2012.10.031
  • Oxley T, Jeffrey P, Lemon M (2002) Policy Relevant Modelling: Relationships Between Water, Land Use, and Farmer Decision Processes. Integr Assess 3:30–49. https://doi.org/10.1076/iaij.3.1.30.7413
  • Paegelow M, Camacho Olmedo MT (2008) Advances in geomatic simulations for environmental dynamics. In: Paegelow M, Camacho Olmedo MT (eds) Modelling Environmental Dynamics. Springer, Berlin, Heidelberg, pp 3–54
  • Plata Rocha W (2010) Descripción, análisis y simulación del crecimiento urbano mediante tecnologías de la información geográfica. El caso de la Comunidad de Madrid. Universidad de Alcalá, Departamento de Geografía
  • Pontius RG Jr, Huffaker D, Denman K (2004) Useful techniques of validation for spatially explicit land-change models. Ecol Modell 179:445–461. https://doi.org/10.1016/j.ecolmodel.2004.05.010
  • Pontius RG Jr, Malanson J (2005) Comparison of the structure and accuracy of two land change models. Int J Geogr Inf Sci 19:243–265. https://doi.org/10.1080/13658810410001713434
  • Prestele R, Alexander P, Rounsevell MDA et al (2016) Hotspots of uncertainty in land-use and land-cover change projections: a global-scale model comparison. Glob Chang Biol 22:3967–3983. https://doi.org/10.1111/gcb.13337
  • Rindfuss RR, Walsh SJ, Turner BL et al (2004) Developing a science of land change: challenges and methodological issues. Proc Natl Acad Sci U S A 101:13976–13981. https://doi.org/10.1073/pnas.0401545101
  • Rochel X, Abadie J, Avon C, et al (2017) Quelles sources cartographiques pour la définition des usages anciens du sol en France ? Rev For Française:353.https://doi.org/10.4267/2042/67866
  • Sang L, Zhang C, Yang J et al (2011) Simulation of land use spatial pattern of towns and villages based on CA–Markov model. Math Comput Model 54:938–943
  • Sinha P, Kimar L (2013) Markov Land Cover Change Modeling Using Pairs of Time-Series Satellite Images. Photogramm Eng Remote Sens 79:1–15. https://doi.org/10.14358/PERS.79.11.1037
  • Soares-Filho BS, Nepstad DC, Curran LM et al (2006) Modelling conservation in the Amazon basin. Nature 440:520–523
  • Sohl TL, Sleeter BM (2012) Role of Remote Sensing for Land-Use and Land-Cover Change Modeling. In: P. Giri C (ed) Remote Sensing and Land Cover: Principles and Applications. CRC Press, pp 225–239
  • Sohl TL, Wimberly MC, Radeloff VC et al (2016) Divergent projections of future land use in the United States arising from different models and scenarios. Ecol Modell 337:281–297. https://doi.org/10.1016/j.ecolmodel.2016.07.016
  • Sophie B, Pierre D, Eric VB, et al (2011) Producing global land cover maps consistent over time to respond the needs of the climate modelling community. 2011 6th Int Work Anal Multi-Temporal Remote Sens Images, Multi-Temp 2011 - Proc 161–164. https://doi.org/10.1109/Multi-Temp.2011.6005073
  • Stehman SV., Foody GM (2019) Key issues in rigorous accuracy assessment of land cover products. Remote Sens Environ 231:111199.https://doi.org/10.1016/j.rse.2019.05.018
  • Steiner D (1965) Use of air photographs for interpreting and mapping rural land use in the United States. Photogrammetria 20:65–80. https://doi.org/10.1016/0031-8663(65)90035-9
  • Strahler AH, Boschetti L, Foody GM, et al (2006) Global Land Cover Validation: Recommendations for Evaluation and Accuracy Assessment of Global Land Cover Maps
  • Strand GH (2013) The Norwegian area frame survey of land cover and outfield land resources. Nor Geogr Tidsskr 67:24–35. https://doi.org/10.1080/00291951.2012.760001
  • Szantoi Z, Geller GN, Tsendbazar NE et al (2020) Addressing the need for improved land cover map products for policy support. Environ Sci Policy 112:28–35. https://doi.org/10.1016/j.envsci.2020.04.005
  • Thackway R, Lymburner L, Guerschman JP (2013) Dynamic land cover information: Bridging the gap between remote sensing and natural resource management. Ecol Soc 18.https://doi.org/10.5751/ES-05229-180102
  • Toro Balbotín D (2014) Analyse de la détérioration de la forêt de la cordillère de la Costa dans le sud chilien: géomatique et modélisation prospective appliquée sur une forêt patrimoniale de la province d’Osorno (41° 15’ - 41° 00’ latitude Sud). Université Toulouse 2 Le Mirail. Laboratorie GEODE
  • Tsendbazar N (2016) Global land cover map validation, comparison and integration for different user communities. Wageningen University
  • Tsendbazar NE, de Bruin S, Herold M (2015) Assessing global land cover reference datasets for different user communities. ISPRS J Photogramm Remote Sens 103:93–114. https://doi.org/10.1016/j.isprsjprs.2014.02.008
  • Tuanmu MN, Jetz W (2014) A global 1-km consensus land-cover product for biodiversity and ecosystem modelling. Glob Ecol Biogeogr 23:1031–1045. https://doi.org/10.1111/geb.12182
  • Turner BL (2017) Land Change Science. International Encyclopedia of Geography: People, the Earth. Environment and Technology. John Wiley & Sons Ltd., Oxford, UK, pp 1–6
  • Turner BL, Lambin EF, Reenberg A (2007) The emergence of land change science for global environmental change and sustainability. Proc Natl Acad Sci 104:20666–20671. https://doi.org/10.1073/pnas.0704119104
  • Unwin DJ (1995) Geographical information systems and the problem of “error and uncertainty.” Prog Hum Geogr 19:549–558. https://doi.org/10.1177/030913259501900408
  • Van Asselt MBA (2000) Perspectives on Uncertainty and Risk - the PRIMA Approach to Decision Support. Kluwer Academic Publishers, Boston, Dordrecht, London
  • Van Delden H, Van Vliet J, Rutledge DT, Kirkby MJ (2011) Comparison of scale and scaling issues in integrated land-use models for policy support. Agric Ecosyst Environ 142:18–28. https://doi.org/10.1016/j.agee.2011.03.005
  • Van Vliet J, Bregt AK, Brown DG et al (2016) A review of current calibration and validation practices in land-change modeling. Environ Model Softw 82:174–182. https://doi.org/10.1016/j.envsoft.2016.04.017
  • Van Vliet J, Bregt AK, Hagen-Zanker A (2011) Revisiting Kappa to account for change in the accuracy assessment of land-use change models. Ecol Modell 222:1367–1375. https://doi.org/10.1016/j.ecolmodel.2011.01.017
  • Verburg PH, Neumann K, Nol L (2011) Challenges in using land use and land cover data for global change studies. Glob Chang Biol 17:974–989. https://doi.org/10.1111/j.1365-2486.2010.02307.x
  • Verburg PH, Schot P, Dijst M, Veldkamp A (2004) Land use change modelling: current practice and research priorities. GeoJournal 61:309–324. https://doi.org/10.1007/s10708-004-4946-y
  • Verburg PH, Tabeau A, Hatna E (2013) Assessing spatial uncertainties of land allocation using a scenario approach and sensitivity analysis: A study for land use in Europe. J Environ Manage 127:S132–S144. https://doi.org/10.1016/j.jenvman.2012.08.038
  • Verburg PH, van de Steeg J, Veldkamp A, Willemen L (2009) From land cover change to land function dynamics: A major challenge to improve land characterization. J Environ Manage 90:1327–1335. https://doi.org/10.1016/j.jenvman.2008.08.005
  • Villa G, Valcarcel N, Caballlero ME, et al (2008) Land Cover Classifications: An Obsolete Paradigm. In: Chen J, Jiang J, Nayak S (eds) The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS, Beijing, pp 609–614
  • Wallis H (1981) The History of Land Use Mapping. Cartogr J 18:45–48. https://doi.org/10.1179/caj.1981.18.1.45
  • White R, Engelen G, Uljee I (2015) Modeling cities and regions as complex systems: from theory to planning applications. The MIT Press, Cambridge, Massachusetts, London, England
  • Wulder MA, Coops NC, Roy DP et al (2018) Land cover 2.0. Int J Remote Sens 39:4254–4284. https://doi.org/10.1080/01431161.2018.1452075
  • Yeh AG-O, Li X (2006) Errors and uncertainties in urban cellular automata. Comput Environ Urban Syst 30:10–28. https://doi.org/10.1016/j.compenvurbsys.2004.05.007
  • Yu L, Liang L, Wang J et al (2014) Meta-discoveries from a synthesis of satellite-based land-cover mapping research. Int J Remote Sens 35:4573–4588. https://doi.org/10.1080/01431161.2014.930206
  • Yuan K, O’Neil P, Torrejon D (2020) Landsat’s past paves the way for data democratization in earth science. In: Data Democracy. pp 147–161
  • Zhang Z, Wang X, Zhao X et al (2014) A 2010 update of National Land Use/Cover Database of China at 1:100000 scale using medium spatial resolution satellite images. Remote Sens Environ 149:142–154. https://doi.org/10.1016/j.rse.2014.04.004
  • Zimmermann P, Tasser E, Leitinger G, Tappeiner U (2010) Effects of land-use and land-cover pattern on landscape-scale biodiversity in the European Alps. Agric Ecosyst Environ 139:13–22. https://doi.org/10.1016/j.agee.2010.06.010