| Title | Land Cover Mapping of North and Central America - Global Land Cover 2000 |
| Download | Downloads (Preprint) |
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| Licence | Please note the adoption of the Open Government Licence - Canada
supersedes any previous licences. |
| Author | Latifovic, R; Zhu, Z L; Cihlar, J; Giri, C; Olthof, I |
| Source | Remote Sensing of Environment vol. 89, issue 1, 2004 p. 116-127, https://doi.org/10.1016/j.rse.2003.11.002 |
| Image |  |
| Year | 2004 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043192 |
| Publisher | Elsevier BV |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Area | Canada; United States of America; Mexico |
| Subjects | geophysics; environmental geology; remote sensing; mapping techniques; vegetation; land use; environmental studies; SPOT 4 VEGETATION (VGT); MODIS |
| Illustrations | flow charts; location maps; tables; satellite images |
| Released | 2004 01 01 |
| Abstract | This paper describes the development of a Land Cover Map for North and Central America for the year 2000. The map is a land cover classification product, prepared as a regional component within the
Global Land Cover 2000 project. It also describes the phases involved in transforming the satellite measurements into land cover information for North and Central America: (1) conversion of SPOT4/ VEGETATION (VGT) S01 data into ten-day composite
products; (2) post-seasonal correction and refinement of apparent surface reflectance in single and ten day composite images; and (3) extraction of land cover information from the composite images. Furthermore, preliminary accuracy assessment results
over limited area and some issues related to product accuracy due to thematic and spatial data limitations are analysed and discussed.It was found that coarse resolution data with ~1km pixel size have certain limitations in mapping heterogeneous
landscapes. The product is also compared on both areal and per-pixel bases against other coarse resolution global land cover products. The results show significant differences among maps. |
| GEOSCAN ID | 219994 |
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