SIMULATION OF SENTINEL-2A RED EDGE BANDS WITH RPAS BASED MULTISPECTRAL DATA

摘要

Very high spatial and spectral resolution multispectral data was collected over the Hallormsta?ur test site in eastern Iceland using a fixed wing remotely piloted aerial system as part of the EU FP7 project North State (www.northstatefp7.eu). The North State project uses forest variable estimates derived from optical and radar satellite data as either input or validation for carbon flux models. The RPAS data from the Hallormssta?ur forest test site in Iceland is here used to simulate Landsat and Sentinel-2A data and to explore the advantages of the new Sentinel-2A red edge bands for forest vegetation mapping. Simple supervised classification shows that the inclusion of the red edge bands improves the tree species classification considerably.