Caracterización de bases de datos de usos y coberturas del suelo desde la escala global hasta la regional (andalucía):Una “carrera de obstáculos” para los usuarios

  1. María Teresa Camacho Olmedo 1
  2. Sabina Florina Nanu 2
  3. David García-Álvarez 2
  1. 1 Departamento de Análisis Geográfico Regional y Geografía Física, Universidad de Granada.España
  2. 2 Departamento de Geografía, Universidad Complutense de Madrid. España
Revista:
Geofocus: Revista Internacional de Ciencia y Tecnología de la Información Geográfica

ISSN: 1578-5157

Año de publicación: 2022

Número: 30

Páginas: 93-133

Tipo: Artículo

Otras publicaciones en: Geofocus: Revista Internacional de Ciencia y Tecnología de la Información Geográfica

Resumen

Los avances en el campo de los Sistemas de Información Geográfica (SIG) y la Teledetección han llevado a la producción de un número significativo de bases de datos de usos y coberturas del suelo (Land Use Cover, LUC). Estas bases de datos muestran una gran diversidad en cuanto a su extensión, escala y resolución espacial, o resolución temporal y temática, entre otros. En este artículo analizamos 33 bases de datos LUC generales (no temáticas) que cubren diferentes extensiones (desde la escala global hasta la regional) y que están actualmente disponibles para Andalucía (España) o lo estarán en un futuro. De estas bases de datos, 17 tienenuna extensión global, 10 son europeas, 3 cubren España y 3 el territorio andaluz. El objetivo es analizar los parámetros espaciales, temporales y temáticos de estas bases de datos para que los usuarios puedan elegir la que mejor se adapte a sus propósitos. Los parámetros espaciales incluyen el formato, la resolución espacial, la escala cartográfica, Minimum Mapping Unit (MMU) y Minimum Mapping Width (MMW); los parámetros temporales se centran en la resolución temporal o marco temporal (una única fecha o una serie cronológica), es decir, la duración en el tiempo y el número de fechas disponibles. Los parámetros temáticos incluyen el número de clases y su naturaleza, aquellas leyendas que sean compatibles y los grupos de clases. Este análisis comparativo muestra que, a partir de estas 33 bases de datos, están disponibles, al menos, 217 productos/mapas diferentes. Esta amplia variedad de mapas es una fuente importante de incertidumbre y provoca que el camino para elegir la mejor base de datos LUC sea una verdadera "carrera de obstáculos" para los usuarios

Referencias bibliográficas

  • Belward, A.S., Skøien, J.O. (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
  • Bratic, G., Vavassori, A., Brovelli, M.A. (2021). "Review of High-Resolution Global Land Cover", in XXIV ISPRS Congress (2021 Edition), pp. 175–182.
  • Brown, D.G., Walker, R., Manson, S., Seto, K. (2012). “Modeling Land Use and Land Cover Change”, in Abrams, M., Curran, P., Dekker, A., de Jong, V., Schaepman, M. (Ed.): Remote Sensing and Digital Image Processing, Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-2562-4_23
  • Camacho, M.T., García-Álvarez, D., Gallardo, M., Mas, J.F., Paegelow, M., Castillo-Santiago, M.A., Molinero-Parejo, R. (2022). "Validation of Land Use Cover Maps: A Guideline", in García-Álvarez, D., Camacho Olmedo, M.T., Paegelow, M., Mas, J.F. (Ed.): Land Use Cover Datasets and Validation Tools. Springer, Cham. pp. 35–46. https://doi.org/10.1007/978-3-030-90998-7_3
  • Castilla, G., Hay, G.J. (2007). "Uncertainties in land use data", Hydrology and Earth System Science, 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
  • Chen, B., Xu, B., Zhu, Z., Yuan, C., Suen, H.P., Guo, J., Xu, N., Li, W., Zhao, Y., Yang, J., et al. (2019). "Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017", Sci. Bull.
  • Comber, A.J. (2008). "The separation of land cover from land use using data primitives", Journal of Land Use Science, 3, 215–229. https://doi.org/10.1080/17474230802465173
  • Congalton, R.G., Gu, J., Yadav, K., Thenkabail, P., Ozdogan, M. (2014). "Global land cover mapping: A review and uncertainty analysis", Remote Sens., 6, 12070–12093. https://doi.org/10.3390/rs61212070
  • Diogo, V., Koomen, E. (2016). "Land Cover and Land Use Indicators: Review of available data", OECD Green Growth Papers, No. 2016/03, OECD Publishing, Paris. https://doi.org/10.1787/5jlr2z86r5xw-en
  • Equipo Técnico Nacional SIOSE (2020). Sistema de Información de Ocupación del Suelo en España de Alta Resolución (SIOSE AR). https://www.siose.es/SIOSEthemetheme/documentos/pdf/Documento_Tecnico_SIOSE_AR_v1.pdf
  • Escobar, F. (2022). "Visualization and Communication of LUC Data", in García-Álvarez, D., Camacho Olmedo, M.T., Paegelow, M., Mas, J.F. (Ed.): Land Use Cover Datasets and Validation Tools. Springer, Cham. https://doi.org/10.1007/978-3-030-90998-7_5
  • European Environment Agency (2007). CLC2006 technical guidelines. EEA Technical Report No. 17/2007 ISSN 1725–2237. https://land.copernicus.eu/user-corner/technical-library/techrep89.pdf
  • European Environment Agency (2021). Copernicus Land Monitoring Service – Local Component: Coastal Zones Monitoring Nomenclature Guideline. https://land.copernicus.eu/user-corner/technicallibrary/coastal-zones-nomenclature-and-mapping-guideline.pdf
  • Ferchichi, A., Boulila, W., Farah, I.R. (2017). "Reducing uncertainties in land cover change models using sensitivity analysis", Knowl Inf Syst. https://doi.org/10.1007/s10115-017-1102-9
  • Fritz, S., See, L., Bayas, J.C.L., Waldner, F., Jacques, D., Becker-Reshef, I., Whitcraft, A., Baruth, B., Bonifacio, R., Crutchfield, J., Rembold, F., Rojas, O., Schucknecht, A., Van der Velde, M., Verdin, J., Wu, B., Yan, N., You, L., Gilliams, S., Mücher, S., Tetrault, R., Moorthy, I., McCallum, I. (2019). "A comparison of global agricultural monitoring systems and current gaps", Agric. Syst. 168, 258–272. https://doi.org/10.1016/j.agsy.2018.05.010
  • Fuchs, R. (2015). A data-driven reconstruction of historic land cover/use change of Europe for the period 1900 to 2010. Thesis for PhD.
  • Fuchs, R., Verburg, P.H., Clevers, J.G.P.W., Herold, M. (2015). "The potential of old maps and encyclopaedias for reconstructing historic European land cover/use change", Applied Geography, 59, 43– 55. https://doi.org/10.1016/j.apgeog.2015.02.013
  • Gallardo, M., Martínez-Vega, J. (2016). "Three decades of land-use changes in the region of Madrid and how they relate to territorial planning", European Planning Studies, 24 (5), 1016-1033. https://doi.org/10.1080/09654313.2016.1139059
  • García-Álvarez, D., Camacho Olmedo, M.T. (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, M.T. (2018). "Fuentes para el estudio de los cambios de usos y coberturas del suelo. Estado de la Cuestión", in I Congreso Internacional de Las Montañas, Sierra Nevada, pp. 215–231.
  • García-Álvarez, D., Nanu, S.F. (2022). "Land Use Cover Datasets: a review", in García-Álvarez D, Camacho Olmedo MT, Paegelow M and JF Mas (Ed.): Land Use Cover Data and Validation Tools. Springer Nature. ISBN: eBook: 978-3-030-90998-7.
  • García-Álvarez, D., Lara Hinojosa, J., Quintero Villaraso, J. (2022). "Global general Land Use Cover datasets with a single date", in García-Álvarez D, Camacho Olmedo MT, Paegelow M and JF Mas (Ed.): Land Use Cover Data and Validation Tools. Springer Nature. ISBN: eBook: 978-3-030-90998-7.
  • García-Álvarez, D., Lara Hinojosa, J., Jurado Pérez, F.J., Quintero Villaraso, J. (2022a). "Global general Land Use Cover datasets with a timeseries of maps" in García-Álvarez D, Camacho Olmedo MT, Paegelow M and JF Mas (Ed.): Land Use Cover Data and Validation Tools. Springer Nature. ISBN: eBook: 978-3-030-90998-7.
  • García-Álvarez, D., Lara Hinojosa, J., Jurado Pérez, F.J., Quintero Villaraso, J. (2022b). "General Land Use Cover datasets for Europe", in García-Álvarez D, Camacho Olmedo MT, Paegelow M and JF Mas (Ed.): Land Use Cover Data and Validation Tools. Springer Nature. ISBN: eBook: 978-3-030-90998-7.
  • Gong, P., Wang, J., Yu, L., Zhao, Yongchao, Zhao, Yuanyuan, Liang, L., Niu, Z., Huang, X., Fu, H., Liu, S., Li, C., Li, X., Fu, W., Liu, C., Xu, Y., Wang, X., Cheng, Q., Hu, L., Yao, W., Zhang, Han, Zhu, P., Zhao, Z., Zhang, Haiying, Zheng, Y., Ji, L., Zhang, Y., Chen, H., Yan, A., Guo, J., Yu, Liang, Wang, L., Liu, X., Shi, T., Zhu, M., Chen, Y., Yang, G., Tang, P., Xu, B., Giri, C., Clinton, N., Zhu, Z., Chen, J., Chen, J. (2013). "Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data", Int. J. Remote Sens, 34, 2607–2654. https://doi.org/10.1080/01431161.2012.748992
  • Gonzalez-Guerrero, O., Pons, X. (2020). "The 2017 Land Use/Land Cover Map of Catalonia based on Sentinel-2 images and auxiliary data", Revista de Teledetección, 55, 81-92. https://doi.org/10.4995/raet.2020.13112
  • Grekousis, G., Mountrakis, G., Kavouras, M. (2015). "An overview of 21 global and 43 regional landcover mapping products", Int J Remote Sens, 36:5309–5335. https://doi.org/10.1080/01431161.2015.1093195
  • Gutman, G., Janetos, A., Cochrane, C.O.J., et al. (2012). Land Change Science. Observing, Monitoring and Understanding Trajectories of Change on the Earth’s Surface. Springer Netherlands, Dordrecht
  • 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
  • Klotz, M., Kemper, T., Geiß, C., Esch, T., Taubenböck, H. (2016). "How good is the map? A multi-scale cross-comparison framework for global settlement layers: Evidence from Central Europe", Remote Sens. Environ., 178, 191–212. https://doi.org/10.1016/j.rse.2016.03.001
  • Lambin, E.F., Geist, H. (2006). Land-Use and Land-Cover Change: Local Processes and Global Impacts. Springer, Verlag, Berlin Heidelberg.
  • Liu, L., Zhang, X., Gao, Y., Chen, X., Shuai, X., Mi, J. (2021). "Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects", J. Remote Sens, 2021, 1–38. https://doi.org/10.34133/2021/5289697
  • Manakos, I., Braun, M. (2014). Land Use and Land Cover Mapping in Europe. Practices & Trends. Springer, Dordrecht, Heidelberg, New York, London. https://doi.org/10.1007/978-94-007-7969-3
  • Mora, B., Tsendbazar, N.E., Herold, M., Arino, O. (2014). "Global Land Cover Mapping: Current Status and Future Trends", in Manakos, I., Braun, M. (Ed.): Land Use and Land Cover Mapping in Europe. Practices & Trends. Springer, Dordrecht, Heidelberg, New York, London, pp. 11–30. https://doi.org/10.1007/978-94-007-7969-3_2
  • Moran, E.F., Skole, D.L., Turner, B.L. (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, A.C., Justice, C.O. et al. (Ed.): Land Change Science. Springer Netherlands, pp 1–15.
  • Moreira Madueño, J.M. (2007). Mapa de usos y coberturas vegetales del suelo de Andalucía: guía técnica. Consejería de Medio Ambiente.
  • Nachtergaele, F., Petri, M. (2013). Mapping Land Use Systems at global and regional scales for Land Degradation Assessment Analysis. Version 1.1, Population English Edition.
  • Olaya, V. (2020). Sistemas de Información Geográfica. https://volaya.github.io/libro-sig/
  • Padial-Iglesias, M., Serra, P., Ninyerola, M., Pons, X. (2021) "A Framework of Filtering Rules over Ground Truth Samples to Achieve Higher Accuracy in Land Cover Maps". Remote Sensing. 13, 2662. https://doi.org/10.3390/rs13142662
  • Potere, D., Schneider, A., Angel, S., Civco, D.L. (2009). "Mapping urban areas on a global scale: Which of the eight maps now available is more accurate?", Int. J. Remote Sens., 30, 6531–6558. https://doi.org/10.1080/01431160903121134
  • Sohl, T.L., Sleeter, B.M. (2012). "Role of Remote Sensing for Land-Use and Land-Cover Change Modeling", in Giri, P.C. (Ed.): Remote Sensing and Land Cover: Principles and Applications. CRC Press, pp 225–239.
  • Sophie, B., Pierre, D., Eric, V.B. et al. (2011). "Producing global land cover maps consistent over time to respond the needs of the climate modelling community", in 6th Int Work Anal Multi-Temporal Remote Sens.
  • Sulla-Menashe, D., Gray, J.M., Abercrombie, S.P., Friedl, M.A. (2019). "Hierarchical mapping of annual global land cover 2001 to present: the MODIS collection 6 land cover product", Remote Sens Environ, 222:183–194. https://doi.org/10.1016/j.rse.2018.12.013
  • Valcárcel Sanz, N., Castaño Fernández, S. (2012). Cartografía de ocupación del suelo en España. Proyecto SIOSE. CNIG, Madrid. https://doi.org/http://dx.medra.org/10.7419/162-6882
  • Verburg, P.H., Schot, P.P., Dijst, M.J. et al. (2004). "Land use change modelling: current practice and research priorities", GeoJournal, 61, 309–324. https://doi.org/10.1007/s10708-004-4946-y
  • Verburg, P.H., 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
  • Vidal-Macua, J.J., Zabala, A., Ninyerola, M., Pons, X. (2017). "Developing spatially and thematically detailed backdated maps for land cover studies", International Journal of Digital Earth, 10:2, 175-206, DOI: 10.1080/17538947.2016.1213320
  • Xu, Y., Yu, L., Feng, D., Peng, D., Li, C., Huang, X., Lu, H., Gong, P. (2019). "Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLCAfrica30", Int. J. Remote Sens., 40, 6185–6202. https://doi.org/10.1080/01431161.2019.1587207
  • Yang, Y., Xiao, P., Feng, X., Li, H. (2017). "Accuracy assessment of seven global land cover datasets over China", ISPRS J. Photogramm. Remote Sens., 125, 156–173. https://doi.org/10.1016/j.isprsjprs.2017.01.016
  • Belward, A.S., Estes, J.E., Kline, K.D. (1999). “The IGBP-DIS global 1-km land-cover data set DISCover: A project overview”, Photogramm Eng Remote Sensing, 65:1013–1020.
  • Bicheron, P., Defourny, P., Brockmann, C. et al. (2008). GLOBCOVER. Products Description and Validation Report. http://due.esrin.esa.int/files/GLOBCOVER_Products_Description_Validation_Report_I2.1.1.pdf
  • Bontemps, S., Defourny, P., Van Bogaert, E. et al. (2009). “GlobCorine–A joint EEA-ESA project for operational land dynamics monitoring at pan-European scale”, in The 33rd International Symposium on Remote Sensing of Environment. Stresa, Italy
  • Bontemps, S., Defourny, P., Van Bogaert, E. et al. (2011). GLOBCOVER 2009 Products Description and Validation Report. http://due.esrin.esa.int/files/GLOBCOVER_Products_Description_Validation_Report_I2.1.1.pdf
  • Bossard, M., Feranec, J., Otahel, J. (2000). CORINE land cover technical guide: Addendum 2000. EEA Technical Report No. 40. https://land.copernicus.eu/user-corner/technical-library/tech40add.pdf
  • Brown, J.F., Loveland, T.R., Ohlen, D.O., Zhu, Z.L. (1999). “The global land-cover characteristics database: The users’ perspective”, Photogramm Eng Remote Sensing, 65:1069–1074,
  • Buchhorn, M., Bertels, L., Smets, B. et al. (2020a). Copernicus Global Land Service: Land Cover 100m: Version 3 Globe 2015-2019: Algorithm Theoretical Basis Document. https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_ATBD_LC100V3_I3.3. pdf
  • Buchhorn, M., Lesiv, M., Tsendbazar, N.E. et al. (2020b). “Copernicus global land cover layers-collection 2”, Remote Sens, 12. doi: 10.3390/rs12061044
  • Buchhorn, M., Smets, B., Bertels, L. et al. (2020c). Copernicus Global Land Service: Land Cover 100m: Version 3 Globe 2015-2019: Product User Manual. https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_PUM_LC100mV3_I3.3.pdf
  • Buck, O., Büscher, O. (2018). NOMENCLATURE and MAPPING GUIDELINE Copernicus Land Monitoring Service Local Component : Natura 2000 Mapping. https://land.copernicus.eu/usercorner/technical-library/N2K_Nomenclature_Guidelines.pdf
  • Buck, O., Kocjan, S. (2021). “Nomenclature and mapping guideline, nomenclature guideline”, in Sousa, A. (Ed.): Production of Very High Resolution Land cover/Land use datasets in selected Natura 2000 sites. Reference year 2018 including change layer 2012-2018.
  • Büttner, G., Feranec, J., Jaffrain, G. (2002). Corine land cover update 2000 Technical Guidelines. http://www.eea.europa.eu/publications/technical_report_2007_17
  • Büttner, G., Kosztra, B. (2011). Manual of CORINE Land Cover changes. https://land.copernicus.eu/user-corner/technical-library/manual_of_changes_final_draft.pdf
  • Büttner, G., Kosztra, B., Maucha, G., Pataki, R. (2012). Implementation and achievements of CLC 2006. https://land.copernicus.eu/user-corner/technical-library/CLCFinalrep_revised_finaldraft.pdf
  • Büttner, G., Soukup, T., Kosztra, B. (2014). CLC2012. Addendum to CLC2006 Technical Guidelines. https://land.copernicus.eu/user-corner/technical-library/Addendum_finaldraft_v2_August_2014.pdf
  • Caballero, Mª.E., Delgado, J., Benito, Mª.A., Fernández, X., Porcuna, A. (2012). El Proyecto SIOSE. Cartografía de Ocupación del Suelo en España. Proyecto SIOSE. Catálogo general de publicaciones oficiales. http://dx.medra.org/10.7419/162-6882
  • Ceballos, L. (1966). Mapa Forestal de España. Ministerio de Agricultura.
  • Champeaux, J.L., Mucher, C.A., Steinnocher, K. et al. (2000). “PELCOM Project: A 1-km pan-European land cover database for environmental monitoring and use in meteorological models”, Int Geosci Remote Sens Symp, 5:1915–1917. doi: 10.1109/igarss.2000.858165
  • Chen, J., Chen, X., Cui, X., Chen, J. (2011b). “Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection”, IEEE Geosci Remote Sens Lett, 8:317–321. doi: 10.1109/LGRS.2010.2068537
  • Chen, J., Chen, J., Liao, A. et al. (2014). “Global land cover mapping at 30 m resolution: A POK-based operational approach”, ISPRS J Photogramm Remote Sens, 103:7–27. doi: 10.1016/j.isprsjprs.2014.09.002
  • Chen, X., Chen, J., Shi, Y., Yamaguchi, Y. (2012). “An automated approach for updating land cover maps based on integrated change detection and classification methods”, ISPRS J Photogramm Remote Sens, 71:86–95. doi: 10.1016/j.isprsjprs.2012.05.006
  • Chen, F., Chen, J., Wu, H. et al. (2016). “A landscape shape index-based sampling approach for land cover accuracy assessment”, Sci China Earth Sci, 59:2263–2274. doi: 10.1007/s11430-015-5280-5
  • Chen, B., Xu, B., Zhu, Z. et al. (2019). “Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017”, Sci Bull.
  • Chen, J., Zhu, X., Imura, H., Chen, X. (2010). “Consistency of accuracy assessment indices for soft classification: Simulation analysis”, ISPRS J Photogramm Remote Sens, 65:156–164. doi: 10.1016/j.isprsjprs.2009.10.003
  • Chen, J., Zhu, X., Vogelmann, J.E. et al. (2011a). “A simple and effective method for filling gaps in Landsat ETM+ SLC-off images”, Remote Sens Environ, 115:1053–1064. doi: 10.1016/j.rse.2010.12.010
  • Copernicus Programme (2020). Mapping Guide v6.1 for an European Urban Atlas. https://land.copernicus.eu/user-corner/technicallibrary/urban_atlas_2012_2018_mapping_guide_v6-1.pdf
  • Defourny, P., Bontemps, S., Van Bogaert, E. (2010). GlobCorine. Product Description Manual. http://due.esrin.esa.int/files/p114/GLOBCORINE_LC_PDM_2.2.pdf
  • Defourny, P., Bontemps. S,, Van Bogaert, E. et al. (2010a). GlobCorine 2009. Product Description Manual. http://due.esrin.esa.int/files/p114/GLOBCORINE2009_DVR_2.1.pdf
  • Defourny, P., Bontemps, S., Van Bogaert, E. et al. (2010b). GlobCorine. Validation report. http://due.esrin.esa.int/files/p114/GLOBCORINE_VR_2.1_20100406.pdf
  • Equipo Técnico Nacional SIOSE (2015). Sistema de Información de Ocupación del Suelo en España, Documento técnico SIOSE 2005. Dirección General del Instituto Geográfico Nacional.
  • Equipo Técnico Nacional SIOSE (2018). Sistema de Información de Ocupación del Suelo en España, Documento técnico SIOSE 2014. Dirección General del Instituto Geográfico Nacional.
  • Equipo Técnico Nacional SIOSE (2020). Sistema de Información de Ocupación del Suelo en España de Alta Resolución (SIOSE AR). Dirección General del Instituto Geográfico Nacional.
  • European Environment Agency (1994). CORINE Land cover. ISSN 92-826-2579-6. https://www.eea.europa.eu/publications/COR0-landcover
  • European Environment Agency (2006a). CORINE land cover nomenclature illustrated guide. https://land.copernicus.eu/user-corner/technical-library/Nomenclature.pdf
  • European Environment Agency (2006b). The thematic accuracy of Corine land cover 2000. Assessment using LUCAS (land use/cover area frame statistical survey). EEA Technical Report No. 7/2006 ISSN 1725-2237. https://land.copernicus.eu/user-corner/technical-library/technical_report_7_2006.pdf
  • European Environment Agency (2007). CLC2006 technical guidelines. EEA Technical Report No. 17/2007 ISSN 1725–2237. https://land.copernicus.eu/user-corner/technical-library/techrep89.pdf
  • European Environment Agency (2021). Copernicus Land Monitoring Service –Local Component: Coastal Zones Monitoring Nomenclature Guideline. https://land.copernicus.eu/user-corner/technicallibrary/coastal-zones-nomenclature-and-mapping-guideline.pdf
  • European Space Agency (2017). Land Cover CCI. Product User Guide. Version 2.0. http://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf
  • Friedl, M.A., McIver, D.K., Hodges, J.C.F. et al. (2002). “Global land cover mapping from MODIS: algorithms and early results”, Remote Sens Environ, 83:287–302. doi: 10.1016/S0034-4257(02)00078-0
  • Friedl, M.A., Sulla-Menashe, D. (2019). User Guide to Collection 6 MODIS Land Cover (MCD12Q1 and MCD12C1) Product. https://lpdaac.usgs.gov/documents/101/MCD12_User_Guide_V6.pdf
  • Friedl, M.A., Sulla-Menashe, D., Tan, B. et al. (2010). “MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets”, Remote Sens Environ, 114:168–182. doi: 10.1016/j.rse.2009.08.016
  • Fuchs, R., Herold, M., Verburg, P.H., Clevers, J.G.P.W. (2013). “A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe”, Biogeosciences, 10:1543–1559. doi: 10.5194/bg-10-1543-2013
  • Fuchs, R., Herold, M., Verburg, P.H. et al. (2015a). “Gross changes in reconstructions of historic land cover/use for Europe between 1900 and 2010”, Glob Chang Biol, 21:299–313. doi: 10.1111/gcb.12714
  • Fuchs, R., Verburg, P.H., Clevers, J.G.P.W., Herold, M. (2015b). “The potential of old maps and encyclopaedias for reconstructing historic European land cover/use change”, Appl Geogr, 59:43–55. doi: 10.1016/j.apgeog.2015.02.013
  • Gallaun, H. (2017). Urban Atlas 2012 Validation Report. https://land.copernicus.eu/usercorner/technical-library/ua-2012-validation-report
  • Gromny, E., Lewiński, S., Rybicki, M. et al. (2019a). “Creation of training dataset for Sentinel-2 land cover classification”, in Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019. Wiga, Poland
  • Gromny, E., LewiÅnski, S., Rybicki, M. et al. (2019b). “Post-processing tools for land cover classification of Sentinel-2”, in Proc. SPIE 11176, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2019. Wiga, Poland
  • Gong, P., Wang, J., Yu, L. et al. (2013). “Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data”, Int J Remote Sens, 34:2607–2654. doi: 10.1080/01431161.2012.748992
  • Hansen, M.C., Defries, R.S., Townshend, J.R.G., Sohlberg, R. (2000). “Global land cover classification at 1 km spatial resolution using a classification tree approach”, Int J Remote Sens, 21:1331–1364. doi: 10.1080/014311600210209
  • Hirschmugl, M., Pennec, A., Lhernould, A. et al. (2018). Urban Atlas 2012 extension to Western Balkan and Turkey validation report. https://land.copernicus.eu/user-corner/technical-library/urban-atlas2012-extension-to-western-balkan-and-turkey-validation-report
  • Hua, T., Zhao, W., Liu, Y. et al. (2018). “Spatial consistency assessments for global land-cover datasets: A comparison among GLC2000, CCI LC, MCD12, GLOBCOVER and GLCNMO”, Remote Sens, 10. doi: 10.3390/rs10111846
  • Jaffrain, G. (2017). CORINE Land Cover 2012. Final validation report. https://land.copernicus.eu/usercorner/technical-library/clc-2012-validation-report-1
  • Junta de Andalucía (2013). Guía Técnica SIOSE Andalucía 2013. Consejería de Agricultura, Ganadería, Pesca y Medio Ambiente.
  • Junta de Andalucía (2019). Memoria técnica de la actividad: Sistema de Información del Patrimonio Natural de Andalucía (SIPNA). Consejería de Agricultura, Ganadería, Pesca y Medio Ambiente.
  • Karra, K. et al. (2021). “Global land use/land cover with Sentinel-2 and deep learning”, in IGARSS 2021- 2021 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2021.
  • Kobayashi, T., Tateishi, R., Alsaaideh, B., Sharma, R.C., Wakaizumi, T., Miyamoto, D., Bai, X., Long, B.D., Gegentana, G., Maitiniyazi, A., Cahyana, D., Haireti, A., Morifuji, Y., Abake, G., Pratama, R., Zhang, N., Alifu, Z., Shirahata, T., Mi, L., Iizuka, K., Yusupujiang, A., Rinawan, F.R., Bhattarai, R., Phong, D.X. (2017). “Production of Global Land Cover Data – GLCNMO2013”, J. Geogr. Geol., 9, 1. https://doi.org/10.5539/jgg.v9n3p1
  • Kosztra, B., Büttner, G., Hazeu, G., Arnold, S. (2019). Updated CLC illustrated nomenclature guidelines. https://land.copernicus.eu/user-corner/technical-library/corine-land-cover-nomenclatureguidelines/docs/pdf/CLC2018_Nomenclature_illustrated_guide_20190510.pdf
  • Kukawska, E., Lewinski, S., Krupinski, M. et al. (2017). “Multitemporal Sentinel-2 data Remarks and observations”, in 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017.
  • Latham, J., Cumani, R., Rosati, I., Bloise, M. (2014). Global Land Cover SHARE (GLC-SHARE) database Beta-Release Version 1.0. http://www.fao.org/uploads/media/glc-share-doc.pdf
  • Loveland, T.R., Belward, A.S. (1997). “The igbp-dis global 1km land cover data set, discover: First results”, Int J Remote Sens, 18:3289–3295. doi: 10.1080/014311697217099
  • Loveland, T., Reed, B., Brown, J, Ohlen, D, Zhu, J., Yang, L., Merchant, J. (2000). “Development of a Global Land Cover Characteristics Database and IGBP DISCover from 1-km AVHRR Data”, International Journal of Remote Sensing, 21 (6/7), 1303-1330.
  • Liu, H., Gong, P., Wang, J. et al. (2020). “Annual dynamics of global land cover and its long-term changes from 1982 to 2015”, Earth Syst Sci Data, 12:1217–1243. doi: 10.5194/essd-12-1217-2020
  • Malinowski, R., Lewinski, S., Rybicki, M. et al. (2019). Deliverable 1.2. Final report. http://users.cbk.waw.pl/~mkrupinski/S2GLC_Phase2_FinalReport.pdf
  • McCallum, I., Obersteiner, M., Nilsson, S., Shvidenko, A. (2006). “A spatial comparison of four satellite derived 1 km global land cover datasets”, Int J Appl Earth Obs Geoinf, 8:246–255. doi: 10.1016/j.jag.2005.12.002
  • Moreira Madueño, J.M. (2007). Mapa de usos y coberturas vegetales del suelo de Andalucía: guía técnica. Consejería de Medio Ambiente.
  • Mücher, C.A. (2000). PELCOM. Final report. http://www.geoinformatie.nl/projects/pelcom/download/FINALREP.zip
  • Mücher, S., Steinnocher, K., Champeaux, J.-L., Griguolo, S., Wester, K., Heunks, C., Van Katwijk, V. (2000). “Establishment of a 1-km pan-European land cover database for environmental monitoring”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. ISPRS Archives, 33.
  • Nachtergaele, F., Petri, M. (2013). Mapping Land Use Systems at global and regional scales for Land Degradation Assessment Analysis. Version 1.1, Population English Edition.
  • Neumann, K., Herold, M., Hartley, A., Schmullius, C. (2007). “Comparative assessment of CORINE2000 and GLC2000: Spatial analysis of land cover data for Europe”, Int J Appl Earth Obs Geoinf, 9:425–437. doi: 10.1016/j.jag.2007.02.004
  • Nowakowski, A., Rybicki, M., Kukawska, E. et al. (2017). “Aggregation of Sentinel-2 time series classifications as a solution for multitemporal analysis”, in Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104270B.
  • Pérez-Hoyos, A., García-Haro, F.J., San-Miguel-Ayanz, J. (2012). “Conventional and fuzzy comparisons of large scale land cover products: Application to CORINE, GLC2000, MODIS and GlobCover in Europe”, ISPRS J Photogramm Remote Sens, 74:185–201. doi: 10.1016/j.isprsjprs.2012.09.006
  • Reed, B.C., Brown, J.F., Ohlen, O. et al. (2000). “Development of a Global Land Cover Characteristics Database and IGBP DISCover from 1-km AVHRR Data”, Int J Remote Sens, 21:1303–1330
  • Schultz, M., Voss, J., Auer, M. et al. (2017). “Open land cover from OpenStreetMap and remote sensing”, Int J Appl Earth Obs Geoinf, 63:206–213. doi: 10.1016/j.jag.2017.07.014
  • See, L., Schepaschenko, D., Lesiv, M. et al. (2015). “Building a hybrid land cover map with crowdsourcing and geographically weighted regression”, ISPRS J Photogramm Remote Sens, 103:48–56. doi: 10.1016/j.isprsjprs.2014.06.016
  • Silva, F.B., Poleman, H. (2016). Mapping population density in Functional Urban Areas. https://publications.europa.eu/en/publication-detail/-/publication/8568b1b3-b864-11e6-9e3c01aa75ed71a1
  • Silva, F.B., Poelman, H., Martens, V., Lavalle, C. (2013). Population Estimation for the Urban Atlas Polygons. https://ec.europa.eu/jrc/en/publication/eur-scientific-and-technical-researchreports/population-estimation-urban-atlas-polygons
  • Soukup, T., Sousa, A., Langanke, T. (2017). CLC2018 Technical Guidelines. https://land.copernicus.eu/user-corner/technical-library/clc2018technicalguidelines_final.pdf
  • Sulla-Menashe, D., Gray, J.M., Abercrombie, S.P., Friedl, M.A. (2019). “Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product”, Remote Sens Environ, 222:183–194. doi: 10.1016/j.rse.2018.12.013
  • Tang, P., Zhang, H., Zhao, Y. et al. (2014). “Practice and thoughts of the automatic processing of multispectral images with 30 m spatial resolution on the global scale”, J Remote Sens, 18:231–253. doi: 10.11834/jrs.20143287
  • Tateishi, R., Hoan, N.T., Kobayashi, T. et al. (2014). “Production of Global Land Cover Data – GLCNMO2008”, J Geogr Geol, 6:99–122. doi: 10.5539/jgg.v6n3p99
  • Tateishi, R., Uriyangqai, B., Al-Bilbisi, H. et al. (2011). “Production of global land cover data – GLCNMO”, Int J Digit Earth, 4:22–49. doi: 10.1080/17538941003777521
  • Tchuenté, A.T.K., Roujean, J.L., de Jong, S.M. (2011). “Comparison and relative quality assessment of the GLC2000, GLOBCOVER, MODIS and ECOCLIMAP land cover data sets at the African continental scale”, Int J Appl Earth Obs Geoinf, 13:207–219. doi: 10.1016/j.jag.2010.11.005
  • Tsendbazar, N.E., Herold, M., Tarkom A, et al. (2019). Copernicus Global Land Service: Land Cover 100m: Version 2: Validation Report. https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_VR_LC100mV2.0_I1.00.pdf
  • Tsendbazar, N.E., Tarko, A., Linlin, L. et al. (2020). Copernicus Global Land Service: Land Cover 100m: Version 3 Globe 2015-2019: Validation Report. https://land.copernicus.eu/global/sites/cgls.vito.be/files/products/CGLOPS1_VR_LC100mV3.0_I1.00.pdf
  • Vallejo Bombín, R. (2005). “El mapa forestal de España escala 1:50.000 (MFE50) como base del tercer inventario forestal nacional”, Cuadernos De La Sociedad Española De Ciencias Forestales, 19:205-210. https://doi.org/10.31167/csef.v0i19.9507
  • Vandeputte, R., Lhernould, A., Pennec, A. et al. (2018). Riparian Zones Land Cover / Land Use extension to Strahler 2 validation report. https://land.copernicus.eu/user-corner/technical-library/riparianzones-land-cover-land-use-validation-report
  • Wang, J., Zhao, Y., Li, C. et al. (2015). “Mapping global land cover in 2001 and 2010 with spatialtemporal consistency at 250m resolution”, ISPRS J Photogramm Remote Sens, 103:38–47. doi: 10.1016/j.isprsjprs.2014.03.007
  • Weissteiner, C.J., Ickerott, M., Ott, H. et al. (2016). “Europe’s green arteries-A continental dataset of riparian zones”, Remote Sens, 8. doi: 10.3390/rs8110925
  • Xie, H., Tong, X., Meng, W. et al. (2015). “A Multilevel Stratified Spatial Sampling Approach for the Quality Assessment of Remote-Sensing-Derived Products”, IEEE J Sel Top Appl Earth Obs Remote Sens, 8:4699–4713. doi: 10.1109/JSTARS.2015.2437371
  • Yu, L., Wang, J., Gong, P. (2013). “Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: A segmentation-based approach”, Int J Remote Sens, 34:5851–5867. doi: 10.1080/01431161.2013.798055
  • Yu, L., Wang, J., Li, X. et al. (2014). “A multi-resolution global land cover dataset through multisource data aggregation”, Sci China Earth Sci, 57:2317–2329. doi: 10.1007/s11430-014-4919-z
  • Zhu, X., Chen, J., Gao, F. et al. (2010). “An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions”, Remote Sens Environ, 114:2610–2623. doi: 10.1016/j.rse.2010.05.032