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Finally, we consider what the future holds for global land cover mapping.<\/jats:p>","DOI":"10.3390\/rs8121036","type":"journal-article","created":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T04:09:09Z","timestamp":1482466149000},"page":"1036","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Towards an Integrated Global Land Cover Monitoring and Mapping System"],"prefix":"10.3390","volume":"8","author":[{"given":"Martin","family":"Herold","sequence":"first","affiliation":[{"name":"Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2665-7065","authenticated-orcid":false,"given":"Linda","family":"See","sequence":"additional","affiliation":[{"name":"Ecosystem Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4825-1971","authenticated-orcid":false,"given":"Nandin-Erdene","family":"Tsendbazar","sequence":"additional","affiliation":[{"name":"Laboratory of Geo-Information Science and Remote Sensing, Wageningen University, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands"}]},{"given":"Steffen","family":"Fritz","sequence":"additional","affiliation":[{"name":"Ecosystem Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, 2361 Laxenburg, Austria"}]}],"member":"1968","published-online":{"date-parts":[[2016,12,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"974","DOI":"10.1111\/j.1365-2486.2010.02307.x","article-title":"Challenges in using land use and land cover data for global change studies","volume":"17","author":"Verburg","year":"2011","journal-title":"Glob. Chang. Biol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"3141","DOI":"10.1080\/014311698214235","article-title":"Global land cover classifications at 8 km spatial resolution: The use of training data derived from Landsat imagery in decision tree classifiers","volume":"19","author":"DeFries","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1080\/01431160412331291297","article-title":"GLC2000: A new approach to global land cover mapping from earth observation data","volume":"26","author":"Belward","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","unstructured":"Arino, O., Leroy, M., Ranera, F., Gross, D., Bicheron, P., Nino, F., Brockman, C., Defourny, P., Vancutsem, C., and Achard, F. (2007, January 23\u201327). GlobCover\u2014A global land cover service with MERIS. Proceedings of the Envisat Symposium 2007, Montreux, Switzerland."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_6","unstructured":"Land Cover CCI (2014). CCI-LC Product User Guide, UCL-Geomatics."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"15804","DOI":"10.3390\/rs71215804","article-title":"Spatial accuracy assessment and integration of global land cover datasets","volume":"7","author":"Tsendbazar","year":"2015","journal-title":"Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.isprsjprs.2014.06.016","article-title":"Building a hybrid land cover map with crowdsourcing and geographically weighted regression","volume":"103","author":"See","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.isprsjprs.2014.09.002","article-title":"Global land cover mapping at 30m resolution: A pok-based operational approach","volume":"103","author":"Chen","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1080\/01431161.2012.748992","article-title":"Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data","volume":"34","author":"Gong","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/S0034-4257(02)00078-0","article-title":"Global land cover mapping from MODIS: Algorithms and early results","volume":"83","author":"Friedl","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1111\/j.1365-2486.2007.01519.x","article-title":"Identifying and quantifying uncertainty and spatial disagreement in the comparison of global land cover for different applications","volume":"14","author":"Fritz","year":"2008","journal-title":"Glob. Chang. Biol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1080\/13658810500072020","article-title":"Comparison of land cover maps using fuzzy agreement","volume":"19","author":"Fritz","year":"2005","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2538","DOI":"10.1016\/j.rse.2007.11.013","article-title":"Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets","volume":"112","author":"Herold","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_15","unstructured":"Di Gregorio, A. (2005). Land Cover Classification System: Classification Concepts and User Manual: LCCS, Food and Agriculture Organization of the United Nations."},{"key":"ref_16","unstructured":"Herold, M., Hubald, R., and Di Gregorio, A. (2009). Translating and Evaluating Land Cover Legends Using the UN Land Cover Classification System (LCCS), Land Cover Project Office."},{"key":"ref_17","unstructured":"Arnold, S., Kosztra, B., Banko, G., Smith, G., Hazeu, G., Bock, M., and Valcarcel Sanz, N. (2013, January 3\u20136). The EAGLE concept\u2014A vision of a future European land monitoring framework. Proceedings of the 33rd EARSeL Symposium towards Horizon, Matera, Italy."},{"key":"ref_18","unstructured":"Land Cover Climate Change Initiative (2016). Climate Change Initiative: Land Cover Newsletter, Land Cover Climate Change Initiative."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1331","DOI":"10.1080\/014311600210209","article-title":"Global land cover classification at 1 km spatial resolution using a classification tree approach","volume":"21","author":"Hansen","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Manakos, I., and Braun, M. (2014). Land Use and Land Cover Mapping in Europe, Springer.","DOI":"10.1007\/978-94-007-7969-3"},{"key":"ref_21","unstructured":"Strahler, A.H., Boschetti, L., Foody, G.M., Friedl, M.A., Hansen, M.C., Herold, M., Mayaux, P., Morisette, J.T., Stehman, S.V., and Woodcock, C.E. (2006). Global Land Cover Validation: Recommendations for Evaluation and Accuracy Assessment of Global Land Cover Maps, European Communities."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.rse.2012.10.031","article-title":"Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation","volume":"129","author":"Olofsson","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_23","first-page":"124","article-title":"Comparative assessment of thematic accuracy of GLC maps for specific applications using existing reference data","volume":"44","author":"Tsendbazar","year":"2016","journal-title":"Int. J. Appl. Earth Observ. Geoinf."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"L23404","DOI":"10.1029\/2006GL027768","article-title":"Validating land cover maps with degree confluence project information","volume":"33","author":"Iwao","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.techfore.2015.03.002","article-title":"Harnessing the power of volunteers, the Internet and Google Earth to collect and validate global spatial information using Geo-Wiki","volume":"98","author":"See","year":"2015","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.rse.2015.02.011","article-title":"Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and fao statistics","volume":"162","author":"Schepaschenko","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1980","DOI":"10.1111\/gcb.12838","article-title":"Mapping global cropland and field size","volume":"21","author":"Fritz","year":"2015","journal-title":"Glob. Chang. Biol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"167","DOI":"10.5194\/isprsannals-II-3-W5-167-2015","article-title":"Laco-Wiki: An open access online portal for land cover validation","volume":"II-3\/W5","author":"See","year":"2015","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1080\/13658816.2015.1018266","article-title":"Usability of VGI for validation of land cover maps","volume":"29","author":"Fonte","year":"2015","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Antoniou, V., Fonte, C.C., See, L., Estima, J., Arsanjani, J.J., Lupia, F., Minghini, M., Foody, G.M., and Fritz, S. (2016). Investigating the feasibility of geo-tagged photographs as sources of land cover input data. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5050064"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Estima, J., and Painho, M. (2013, January 5). Exploratory analysis of openstreetmap for land use classification. Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information, Orlando, FL, USA.","DOI":"10.1145\/2534732.2534734"},{"key":"ref_32","unstructured":"Global Observations of Forest and Land Cover Dynamics (GOFC-GOLD) GOFC-GOLD Reference Data Portal. Available online: http:\/\/www.gofcgold.wur.nl\/sites\/gofcgold_refdataportal.php."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Tateishi, R., Hoan, N.T., Kobayashi, T., Alsaaideh, B., Tana, G., and Phong, D.X. (2014). Production of global land cover data\u2014GLCNMO2008. J. Geogr. Geol., 6.","DOI":"10.5539\/jgg.v6n3p99"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"5768","DOI":"10.1080\/01431161.2012.674230","article-title":"A global land-cover validation data set, part I: Fundamental design principles","volume":"33","author":"Olofsson","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.isprsjprs.2014.02.008","article-title":"Assessing global land cover reference datasets for different user communities","volume":"103","author":"Tsendbazar","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1080\/014311600210191","article-title":"Development of a global land cover characteristics database and IGBP discover from 1 km AVHRR data","volume":"21","author":"Loveland","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.rse.2006.01.020","article-title":"Exploiting synergies of global land cover products for carbon cycle modeling","volume":"101","author":"Jung","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1111\/geb.12182","article-title":"A global 1-km consensus land-cover product for biodiversity and ecosystem modelling","volume":"23","author":"Tuanmu","year":"2014","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_39","first-page":"1083","article-title":"Implications of land-cover misclassification for parameter estimates in global land-surface models: An example from the simple biosphere model (SiB2)","volume":"65","author":"DeFries","year":"1999","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Castilla, G., Rodrigue, S., Skakun, R., and Hall, R. (2016). Four national maps of broad forest type provide inconsistent answers to the question of what burns in Canada. Remote Sens., 8.","DOI":"10.3390\/rs8070539"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Quaife, T., and Cripps, E. (2016). Bayesian analysis of uncertainty in the GlobCover 2009 land cover product at climate model grid scale. Remote Sens., 8.","DOI":"10.3390\/rs8040314"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Montesano, P., Neigh, C., Sexton, J., Feng, M., Channan, S., Ranson, K., and Townshend, J. (2016). Calibration and validation of landsat tree cover in the taiga\u2212tundra ecotone. Remote Sens., 8.","DOI":"10.3390\/rs8070551"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Lesiv, M., Moltchanova, E., Schepaschenko, D., See, L., Shvidenko, A., Comber, A., and Fritz, S. (2016). Comparison of data fusion methods using crowdsourced data in creating a hybrid forest cover map. Remote Sens., 8.","DOI":"10.3390\/rs8030261"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., Jepsen, M., Kuemmerle, T., Meyfroidt, P., and Mitchard, E. (2016). A review of the application of optical and radar remote sensing data fusion to land use mapping and monitoring. Remote Sens., 8.","DOI":"10.3390\/rs8010070"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Lamarche, C., Santoro, M., Bontemps, S., d\u2019Andrimont, R., Radoux, J., Giustarini, L., Brockmann, C., Militzer, J., Defourny, P., and Arino, O. (2016). Compilation and validation of sar and optical data sets for a complete and global map of inland\/ocean water tailored to the climate modeling community. Remote Sens., in press.","DOI":"10.3390\/rs9010036"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Comber, A., Balzter, H., Cole, B., Fisher, P., Johnson, S., and Ogutu, B. (2016). Methods to quantify regional differences in land cover change. Remote Sens., 8.","DOI":"10.3390\/rs8030176"},{"key":"ref_47","unstructured":"ESA Overview of Sentinel Satellites. Available online: http:\/\/www.esa.int\/Our_Activities\/Observing_the_Earth\/Copernicus\/Overview4."},{"key":"ref_48","unstructured":"Satellite Imaging Corporation Rapideye Satellite Sensor (5m). Available online: http:\/\/www.satimagingcorp.com\/satellite-sensors\/other-satellite-sensors\/rapideye\/."},{"key":"ref_49","unstructured":"Marshall, W., and Boshuizen, C. (2013, January 10\u201315). Planet labs\u2019 remote sensing satellite system. Proceedings of the 27th Small Satellite Conference, Logan, UT, USA."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1080\/17538947.2013.786146","article-title":"Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error","volume":"6","author":"Sexton","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_51","unstructured":"VITO The Proba-V Instrument. Available online: http:\/\/www.esa.int\/Our_Activities\/Space_Engineering_Technology\/Proba_Missions\/Overview2."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.rse.2014.06.012","article-title":"Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change","volume":"152","author":"Zhu","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.rse.2009.08.014","article-title":"Detecting trend and seasonal changes in satellite image time series","volume":"114","author":"Verbesselt","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_54","unstructured":"Australian Geoscience Data Cube (AGDC). Available online: http:\/\/www.datacube.org.au\/."},{"key":"ref_55","unstructured":"USGS-Land Cover Institute (USGS-LCI) Land Cover Insitute, Available online: http:\/\/landcover.usgs.gov\/index.php."},{"key":"ref_56","unstructured":"Global Land Cover Facility. Available online: http:\/\/glcf.umd.edu\/."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1038\/514434c","article-title":"China: Open access to earth land-cover map","volume":"514","author":"Jun","year":"2014","journal-title":"Nature"},{"key":"ref_58","unstructured":"Copernicus Global Land Operations (2016, January 4\u20138). Dynamic land cover: Copernicus global land service. Proceedings of the 2016 GEO BON Open Science Conference & All Hands Meeting, Leipzig, Germany."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1126\/science.1244693","article-title":"High-resolution global maps of 21st-century forest cover change","volume":"342","author":"Hansen","year":"2013","journal-title":"Science"},{"key":"ref_60","unstructured":"Wu, W., Hu, Q., Lu, M., and Chen, D. (2016, January 24\u201327). Framing global cropland dynamics during 2000\u20132010. Proceedings of the 2016 GLP Open Science Meeting, Beijing, China."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/12\/1036\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:28:55Z","timestamp":1760210935000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/12\/1036"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,20]]},"references-count":60,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2016,12]]}},"alternative-id":["rs8121036"],"URL":"https:\/\/doi.org\/10.3390\/rs8121036","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,20]]}}}