A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Highlighting continued uncertainty in global land cover maps for the user community
In the last 10 years a number of new global datasets have been created and new, more sophisticated algorithms have been designed to classify land cover. GlobCover and MODIS v.5 are the most recent global land cover products available, where GlobCover (300 m) has the finest spatial resolution of other comparable products such as MODIS v.5 (500 m) and GLC-2000 (1 km). This letter shows that the thematic accuracy in the cropland domain has decreased when comparing these two latest products. This disagreement is also evident spatially when examining maps of cropland and forest disagreement between GLC-2000, MODIS and GlobCover. The analysis highlights the continued uncertainty surrounding these products, with a combined forest and cropland disagreement of 893 Mha (GlobCover versus MODIS v.5). This letter suggests that data sharing efforts and the provision of more in situ data for training, calibration and validation are very important conditions for improving future global land cover products.
Highlighting continued uncertainty in global land cover maps for the user community
In the last 10 years a number of new global datasets have been created and new, more sophisticated algorithms have been designed to classify land cover. GlobCover and MODIS v.5 are the most recent global land cover products available, where GlobCover (300 m) has the finest spatial resolution of other comparable products such as MODIS v.5 (500 m) and GLC-2000 (1 km). This letter shows that the thematic accuracy in the cropland domain has decreased when comparing these two latest products. This disagreement is also evident spatially when examining maps of cropland and forest disagreement between GLC-2000, MODIS and GlobCover. The analysis highlights the continued uncertainty surrounding these products, with a combined forest and cropland disagreement of 893 Mha (GlobCover versus MODIS v.5). This letter suggests that data sharing efforts and the provision of more in situ data for training, calibration and validation are very important conditions for improving future global land cover products.
Highlighting continued uncertainty in global land cover maps for the user community
Highlighting continued uncertainty in global land cover maps for the user community
Steffen Fritz (author) / Linda See (author) / Ian McCallum (author) / Christian Schill (author) / Michael Obersteiner (author) / Marijn van der Velde (author) / Hannes Boettcher (author) / Petr Havlík (author) / Frédéric Achard (author)
Environmental Research Letters ; 6 ; 044005
2011-10-01
6 pages
Article (Journal)
Electronic Resource
English
Highlighting global road safety
British Library Online Contents | 2007
Uncertainty evaluation approach based on Shannon entropy for upscaled land use/cover maps
| Taylor & Francis Verlag | 2022
| BASE | 2012
Highlighting Scandinavian tunnelling
| Online Contents | 1997