Environmental Research Letters · 2011 · 196 citations · 25 references
ComputingGeographyGeoinformaticsGeographic Information ScienceGeographic Information SystemsRemote SensingLand Cover Change DetectionLand Cover ClassificationLand Cover MappingLand Surface MonitoringLand UseRemote Sensing Change DetectionClassification Accuracy AssessmentLand Cover AnalysisLand Cover AssessmentLand Cover Classification SchemesLand Cover Classification ValidationLand Cover DataRemote Sensing UncertaintyThematic Accuracy Evaluation
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.
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Global land-use implications of first and second generation biofuel targets
Peter Havlík, Uwe A. Schneider, Erwin Schmid et al. · Energy Policy · 2010 · 809 citations · Full text