HAMSTER: Hyperspectral Albedo Maps dataset with high Spatial and TEmporal Resolution
Giulia Roccetti, Luca Bugliaro, Felix G\"odde, Claudia Emde, Ulrich, Hamann, Mihail Manev, Michael Sterzik, Cedric Wehrum

TL;DR
This paper introduces HAMSTER, a hyperspectral albedo dataset with high spatial, spectral, and temporal resolution, generated using PCA regression to enhance climate modeling and Earth's energy budget calculations.
Contribution
It presents a novel method combining laboratory measurements and MODIS data to produce daily hyperspectral albedo maps from 400 to 2500 nm.
Findings
Hyperspectral albedo maps with 10 nm spectral resolution and daily updates.
Improved classification of land surface types and their seasonal variability.
Enhanced data for climate simulations and Earth's energy budget analysis.
Abstract
Surface albedo is an important parameter in radiative transfer simulations of the Earth's system, as it is fundamental to correctly calculate the energy budget of the planet. The Moderate Resolution Imaging Spectroradiometer (MODIS) instruments on NASA's Terra and Aqua satellites continuously monitor daily and yearly changes in reflection at the planetary surface. The MODIS Surface Reflectance black-sky albedo dataset (MCD43D, version 6.1) gives detailed albedo maps in seven spectral bands in the visible and near-infrared range. These albedo maps allow us to classify different Lambertian surface types and their seasonal and yearly variability and change, albeit only in seven spectral bands. However, a complete set of albedo maps covering the entire wavelength range is required to simulate radiance spectra, and to correctly retrieve atmospheric and cloud properties from Earth's remote…
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