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dc.contributor.authorRodríguez-Jeangros, Nicolás
dc.contributor.authorHering, Amanda S.
dc.contributor.authorKaiser, Timothy
dc.contributor.authorMcCray, John E.
dc.coverage.spatialProjection: Albers Conic Equal Area: East limit: -1237845; West limit: -690105; North limit: 2129145; South limit: 1323154
dc.coverage.temporal2004
dc.date2004
dc.date.accessioned2017-04-03T22:09:41Z
dc.date.accessioned2022-02-02T14:45:49Z
dc.date.available2017-04-03T22:09:41Z
dc.date.available2022-02-02T14:45:49Z
dc.identifier.urihttps://hdl.handle.net/11124/170770
dc.identifier.urihttp://dx.doi.org/10.25676/11124/170770
dc.description.abstractSCaMF-RM fuses the information of six land intermediate to high resolution land cover products in the Rocky Mountains (RM) at two high spatial resolutions, 30 and 50 meters, and a yearly frequency for the period 1983 – 2012. The development of the fused products is based on the Spatiotemporal Categorical Map Fusion (SCaMF) methodology
dc.description.tableofcontentsLand cover classification: 1. Open water -- 2. Perennial ice/snow -- 3. Developed - Low Intensity -- 4. Developed - Medium/High Intensity -- 5. Barren -- 6. Forest - Deciduous -- 7. Forest - Evergreen -- 8. Forest - Mixed -- 9. Shrubland -- 10. Herbaceous -- 11. Agricultural - Pasture -- 12. Agricultural - Crops -- 13. Wetland - Herbaceous -- 14. Wetland - Woody
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado School of Mines. Arthur Lakes Library
dc.relation.isreferencedbyRodríguez-Jeangros N., Hering, A. S., Kaiser T., and McCray J. Fusing multiple existing space-time land cover products, Environmetrics. 2016; e2429. http://dx.doi.org/10.1002/env.2429
dc.relation.isreferencedbyRodríguez-Jeangros N., Hering, A. S., Kaiser T., and McCray J. SCaMF-RM: A Fused High-Resolution Land Cover Product of the Rocky Mountains, 2017. http://dx.doi.org/10.3390/rs9101015
dc.rightsCopyright of the original work is retained by the author.
dc.subjectbig data
dc.subjectland cover product
dc.subjectparallel computing
dc.subjectspatiotemporal categorical data
dc.title2004 land cover maps with 30m and 50m spatial resolution
dc.typeStillImage
dc.contributor.institutionColorado School of Mines. Department of Civil and Environmental Engineering
dc.contributor.institutionColorado School of Mines. Research and High Performance Computing
dc.contributor.institutionBaylor University. Department of Statistical Science


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