A Multisensor Approach to Global Retrievals of Land Surface Albedo

Riihelä, Aku; Manninen, Terhikki; Key, Jeffrey; Sun, Qingsong; Sütterlin, Melanie Beatrice; Lattanzio, Alessio; Schaaf, Crystal (2018). A Multisensor Approach to Global Retrievals of Land Surface Albedo. Remote sensing, 10(848), pp. 1-24. Molecular Diversity Preservation International MDPI 10.3390/rs10060848

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Satellite-based retrievals offer the most cost-effective way to comprehensively map the surface albedo of the Earth, a key variable for understanding the dynamics of radiative energy interactions in the atmosphere-surface system. Surface albedo retrievals have commonly been designed separately for each different spaceborne optical imager. Here, we introduce a novel type of processing framework that combines the data from two polar-orbiting optical imager families, the Advanced Very High-Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS). The goal of the paper is to demonstrate that multisensor albedo retrievals can provide a significant reduction in the sampling time required for a robust and comprehensive surface albedo retrieval, without a major degradation in retrieval accuracy, as compared to state-of-the-art single-sensor retrievals. We evaluated the multisensor retrievals against reference in situ albedo measurements and compare them with existing datasets. The results show that global land surface albedo retrievals with a sampling period of 10 days can offer near-complete spatial coverage, with a retrieval bias mostly comparable to existing single sensor datasets, except for bright surfaces (deserts and snow) where the retrieval framework shows degraded performance because of atmospheric correction design compromises. A level difference is found between the single sensor datasets and the demonstrator developed here, pointing towards a need for further work in the atmospheric correction, particularly over bright surfaces, and inter-sensor radiance homogenization. The introduced framework is expandable to include other sensors in the future.

Item Type:

Journal Article (Original Article)


08 Faculty of Science > Institute of Geography > Physical Geography > Unit Remote Sensing
08 Faculty of Science > Institute of Geography
08 Faculty of Science > Institute of Geography > Physical Geography

UniBE Contributor:

Sütterlin, Melanie Beatrice


500 Science > 550 Earth sciences & geology
900 History > 910 Geography & travel




Molecular Diversity Preservation International MDPI




Helga Weber

Date Deposited:

18 Jun 2018 17:35

Last Modified:

24 Oct 2019 04:17

Publisher DOI:






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