{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T16:13:50Z","timestamp":1740154430052,"version":"3.37.3"},"reference-count":60,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2018,5,29]],"date-time":"2018-05-29T00:00:00Z","timestamp":1527552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["287399"],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"NASA","doi-asserted-by":"crossref","award":["NNX14AI73G"],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"crossref"}]},{"name":"CM SAF"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"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.<\/jats:p>","DOI":"10.3390\/rs10060848","type":"journal-article","created":{"date-parts":[[2018,5,30]],"date-time":"2018-05-30T07:04:27Z","timestamp":1527663867000},"page":"848","source":"Crossref","is-referenced-by-count":3,"title":["A Multisensor Approach to Global Retrievals of Land Surface Albedo"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6581-8792","authenticated-orcid":false,"given":"Aku","family":"Riihel\u00e4","sequence":"first","affiliation":[{"name":"Finnish Meteorological Institute, Erik Palm\u00e9nin aukio 1, FI-00560 Helsinki, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8945-9122","authenticated-orcid":false,"given":"Terhikki","family":"Manninen","sequence":"additional","affiliation":[{"name":"Finnish Meteorological Institute, Erik Palm\u00e9nin aukio 1, FI-00560 Helsinki, Finland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6109-3050","authenticated-orcid":false,"given":"Jeffrey","family":"Key","sequence":"additional","affiliation":[{"name":"National Oceanic and Atmospheric Administration (NOAA), 1225 West Dayton Street, Madison, WI 53706, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7710-2123","authenticated-orcid":false,"given":"Qingsong","family":"Sun","sequence":"additional","affiliation":[{"name":"School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USA"}]},{"given":"Melanie","family":"S\u00fctterlin","sequence":"additional","affiliation":[{"name":"University of Bern, Institute of Geography, Hallerstrasse 12, 3012 Bern, Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1730-8450","authenticated-orcid":false,"given":"Alessio","family":"Lattanzio","sequence":"additional","affiliation":[{"name":"EUMETSAT, Eumetsat Allee 1, D-64295 Darmstadt, Germany"}]},{"given":"Crystal","family":"Schaaf","sequence":"additional","affiliation":[{"name":"School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USA"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,29]]},"reference":[{"key":"ref_1","unstructured":"GCOS Secretariat\/World Meteorological Organization (2018, January 29). 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