eprintid: 14371 rev_number: 14 eprint_status: archive userid: 5 dir: disk0/00/01/43/71 datestamp: 2017-02-03 13:00:23 lastmod: 2022-10-19 05:00:43 status_changed: 2017-02-03 13:00:23 type: article metadata_visibility: show creators_name: Herold, M. creators_name: See, L. creators_name: Tsendbazar, N.-E. creators_name: Fritz, S. creators_id: 8571 creators_id: 8130 creators_orcid: 0000-0002-2665-7065 creators_orcid: 0000-0003-0420-8549 title: Towards an Integrated Global Land Cover Monitoring and Mapping System ispublished: pub divisions: prog_esm abstract: Global land cover mapping has evolved in a number of ways over the past two decades including increased activity in the areas of map validation and inter-comparison, which is the main focus of this Special Issue in Remote Sensing. Here we describe the major trends in global land cover mapping that have occurred, followed by recent advances as exemplified by the papers in the Special Issue. Finally, we consider what the future holds for global land cover mapping. date: 2016-12-20 date_type: published publisher: MDPI AG id_number: 10.3390/rs8121036 creators_browse_id: 276 creators_browse_id: 98 full_text_status: public publication: Remote Sensing volume: 8 number: 12 pagerange: 1036 refereed: TRUE issn: 2072-4292 projects: Harnessing the power of crowdsourcing to improve land cover and land-use information (CROWDLAND, FP7 617754) projects: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring (LANDSENSE, H2020 689812) coversheets_dirty: FALSE fp7_project: yes fp7_project_id: info:eu-repo/grantAgreement/EC/FP7/617754/EU//CROWDLAND; info:eu-repo/grantAgreement/EC/H2020/689812/EU//LANDSENSE fp7_type: info:eu-repo/semantics/article access_rights: info:eu-repo/semantics/openAccess citation: Herold, M., See, L. ORCID: https://orcid.org/0000-0002-2665-7065 , Tsendbazar, N.-E., & Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549 (2016). Towards an Integrated Global Land Cover Monitoring and Mapping System. Remote Sensing 8 (12) p. 1036. 10.3390/rs8121036 . document_url: https://pure.iiasa.ac.at/id/eprint/14371/1/remotesensing-08-01036.pdf