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Suitability of split window algorithms for AVHRR LST processing using updated parameter sets

Frey, Corinne und Künzer, Claudia (2015) Suitability of split window algorithms for AVHRR LST processing using updated parameter sets. 35th EARSeL Symposium 2015, 2015-06-15 - 2015-06-19, Stockholm.

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Kurzfassung

In the context of the TIMELINE project, which deals with time series processing of AVHRR data, a LST processor ‘SurfTemp’ is being developed to estimate land surface temperatures (LST) from the thermal channels of AVHRR. The SurfTemp processor aims to produce LST with highest possible accuracy given the constraints of old data and missing information about atmospheric composition in the past. Each pixel of the product shall be accompanied by an uncertainty and an accuracy measure. This requirement asks for a strict algorithm choice and method development. Many – but not all - of the AVHRR sensors flying on NOAA satellites feature two thermal channels, enabling the application of a split window algorithm to retrieve LST. Six different split window formulations are being extensively tested, by generating new parameter sets for each equation, selected atmospheric, viewing, and surface conditions, and each AVHRR sensor. The parameter generation is executed by least square minimization with simulated brightness temperatures, which were provided by varying radiative transfer model runs with MODTRAN using a precompiled atmospheric profile database. The parameters are derived three fold: a) for four different view angles, b) additionally for eight ranges of columnar water vapour, and c) additionally for four ranges of surface temperatures, resulting in three parameter sets for each formulation. Furthermore, the parameter sets are split to daytime and nighttime conditions. The six split window formulations with the newly generated parameters are then being compared in terms of a) accuracy of the resulting LST – derived from comparison with other simulated data – and b) the formulations sensitivity on their input parameter (e.g. emissivity or columnar water vapor). The analysis of sensitivity is considered as necessary, as the quality of additional input data besides the AVHRR thermal channels into LST retrieval may form a critical limitation to the accuracy of the final output product. The results are discussed in terms of suitability of each of the formulations together with the new parameter sets to time series processing of AHRR data.

elib-URL des Eintrags:https://elib.dlr.de/98294/
Dokumentart:Konferenzbeitrag (Vortrag)
Titel:Suitability of split window algorithms for AVHRR LST processing using updated parameter sets
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Frey, Corinnecorinne.frey (at) dlr.dehttps://orcid.org/0000-0002-9879-9732NICHT SPEZIFIZIERT
Künzer, ClaudiaClaudia.Kuenzer (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2015
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:LST, accuracy, AHVRR, split window algorithm
Veranstaltungstitel:35th EARSeL Symposium 2015
Veranstaltungsort:Stockholm
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:15 Juni 2015
Veranstaltungsende:19 Juni 2015
Veranstalter :EARSeL
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - Vorhaben Fernerkundung der Landoberfläche (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Landoberfläche
Hinterlegt von: Frey, Dr. Corinne
Hinterlegt am:04 Nov 2015 11:12
Letzte Änderung:24 Apr 2024 20:03

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