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Verlagsausgabe
DOI: 10.5445/IR/1000088432
Veröffentlicht am 17.12.2018
Originalveröffentlichung
DOI: 10.3390/rs10111842
Scopus
Zitationen: 1

Long-term and high-resolution global time series of brightness temperature from copula-based fusion of SMAP enhanced and SMOS data

Lorenz, C.; Montzka, C.; Jagdhuber, T.; Laux, P.; Kunstmann, H.

Abstract:
Long and consistent soil moisture time series at adequate spatial resolution are key to foster the application of soil moisture observations and remotely-sensed products in climate and numerical weather prediction models. The two L-band soil moisture satellite missions SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture and Ocean Salinity) are able to provide soil moisture estimates on global scales and in kilometer accuracy. However, the SMOS data record has an appropriate length of 7.5 years since late 2009, but with a coarse resolution of 25km only. In contrast, a spatially-enhanced SMAP product is available at a higher resolution of 9 km, but for a shorter time period (since March 2015 only). Being the fundamental observable from passive microwave sensors, reliable brightness temperatures (Tbs) are a mandatory precondition for satellite-based soil moisture products. We therefore develop, evaluate and apply a copula-based data fusion approach for combining SMAP Enhanced (SMAP_E) and SMOS brightness Temperature (Tb) data. The approach exploits both linear and non-linear dependencies between the two satellite-based Tb prod ... mehr


Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung - Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 2072-4292
URN: urn:nbn:de:swb:90-884326
KITopen-ID: 1000088432
HGF-Programm 12.02.03 (POF III, LK 01)
Erschienen in Remote sensing
Band 10
Heft 11
Seiten Art. Nr.: 1842
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Schlagworte brightness temperature, soil moisture, copula, data fusion, SMAP, SMOS
Nachgewiesen in Scopus
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