Table of Contents
Remote Sens., Volume 8, Issue 3 (March 2016)
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Cover Story (view full-size image) This paper presents the preliminary results of two classification exercises assessing the [...] Read more. This paper presents the preliminary results of two classification exercises assessing the capabilities of pre-operational (August 2015) Sentinel-2 (S2) data for mapping crop types and tree species. The maps were produced at 10 m spatial resolution by using the full spectral resolution of S2 (ten spectral bands). A supervised classifier was deployed and trained with appropriate ground truth. In both case studies, S2 data confirmed its expected capabilities to produce reliable land cover maps. Cross-validated overall accuracies ranged between 65% (tree species) and 76% (crop types). As only single date acquisitions were available for this first study, the full potential of S2 data could not be assessed. The two S2 satellites offer global coverage every five days and therefore can concurrently exploit unprecedented spectral and temporal information with high spatial resolution. View this paper