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Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors

Bulgin, C. E. and Merchant, Christopher and Ghent, Darren and Klüser, Lars and Popp, Thomas and Poulson, Caroline and Sogacheva, Larisa (2018) Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors. Remote Sensing, 10 (4), pp. 1-20. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs10040616. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/10/4/616


Item URL in elib:https://elib.dlr.de/122825/
Document Type:Article
Title:Quantifying Uncertainty in Satellite-Retrieved Land Surface Temperature from Cloud Detection Errors
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bulgin, C. E.Reading universityUNSPECIFIEDUNSPECIFIED
Merchant, ChristopherReading universityUNSPECIFIEDUNSPECIFIED
Ghent, DarrenUniversity of LeicesterUNSPECIFIEDUNSPECIFIED
Klüser, LarsUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Popp, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-1970-8733UNSPECIFIED
Poulson, CarolineRALUNSPECIFIEDUNSPECIFIED
Sogacheva, LarisaUniv. of Helsinki, FinlandUNSPECIFIEDUNSPECIFIED
Date:2018
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI:10.3390/rs10040616
Page Range:pp. 1-20
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:Satellitenretrieval, Fehlerrechnung, Wolkenmasken, Land surface temperature
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Atmosphere
Deposited By: Popp, Dr.rer.nat Thomas
Deposited On:12 Nov 2018 11:33
Last Modified:09 Nov 2020 14:36

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