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HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution
This dataset contains 365 hyperspectral albedo maps of Earth, one for each day of the year. The hyperspectral albedo maps are built from a 10-year average of the MODIS Surface Reflectance dataset (MCD43D 42-48, version 6.1). Using a Principal Component Analysis (PCA) regression algorithm we combine different hyperspectral laboratory and in-situ measurements spectra of various dry soils, vegetation surfaces and mixure of both to reconstruct the albedo maps in the entire wavelength range from 400 to 2500 nm, with a spectral resolution of 10 nm. The hyperspectral albedo maps have a spatial resolution of 0.05° in latitude and longitude. Additional hyperspectral albedo maps with a coarser spatial or spectral resolution are available upon request. Access to dataData files are available for download at: https://opendata.physik.lmu.de/kXZksootPPjK6XC
- Federal Office of Meteorology and Climatology Switzerland
- German Aerospace Center Germany
- Ludwig-Maximilians-Universität München Germany
- European Southern Observatory Chile
- European Southern Observatory Germany
seasonal variability, MODIS, radiative transfer, Earth System Models, energy budget, albedo
seasonal variability, MODIS, radiative transfer, Earth System Models, energy budget, albedo
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
