elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Kontakt | English
Schriftgröße: [-] Text [+]

TiSeG – A flexible software tool for time series generation of MODIS data utilizing the quality assessment science data set

Colditz, Rene und Conrad, Christopher und Wehrmann, Thilo und Schmidt, Michael und Dech, Stefan (2008) TiSeG – A flexible software tool for time series generation of MODIS data utilizing the quality assessment science data set. IEEE Transactions on Geoscience and Remote Sensing, 46 (10), Seiten 3296-3308. IEEE. DOI: 10.1109/TGRS.2008.921412. ISSN 0196-2892.

Dieses Archiv kann nicht den gesamten Text zur Verfügung stellen.

Kurzfassung

Time series generated from remotely sensed data are important for regional to global monitoring, estimating long-term trends, and analysis of variations due to droughts or other extreme events such as El Nino Temporal vegetation patterns including phenological states, photosynthetic activity, or biomass estimations are an essential input for climate modeling or the analysis of the carbon cycle. However, long-term analysis requires accurate calibration and error estimation, i.e., the quality of the time series determines its usefulness. Although previous attempts of quality assessment have been made with NOAA-AVHRR data, a first rigorous concept of data quality and validation was introduced with the MODIS sensors. This paper presents the time-series generator (TiSeG), which analyzes the pixel-level quality-assurance science data sets of all gridded MODIS land (MODLand) products suitable for time-series generation. According to user-defined settings, the tool visualizes the spatial and temporal data availability by generating two indices, the number of invalid pixels and the maximum gap length. Quality settings can be modified spatially and temporally to account for regional and seasonal variations of data quality. The user compares several quality settings and masks or interpolates the data gaps. This paper describes the functionality of TiSeG and shows an example of enhanced vegetation index time-series generation with numerous settings for Germany. The example indicates the improvements of time series when the quality information is employed with a critical weighting between data quality and the necessary quantity for meaningful interpolation.

Dokumentart:Zeitschriftenbeitrag
Titel:TiSeG – A flexible software tool for time series generation of MODIS data utilizing the quality assessment science data set
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Colditz, Renerene.colditz@conabio.gob.mx
Conrad, ChristopherChristopher.Conrad@uni-wuerzburg.de
Wehrmann, ThiloThilo.Wehrmann@dlr.de
Schmidt, MichaelMichael.Schmidt@dlr.de
Dech, Stefanstefan.dech@dlr.de
Datum:13 Oktober 2008
Erschienen in:IEEE Transactions on Geoscience and Remote Sensing
Referierte Publikation:Ja
In Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:46
DOI :10.1109/TGRS.2008.921412
Seitenbereich:Seiten 3296-3308
Verlag:IEEE
ISSN:0196-2892
Status:veröffentlicht
Stichwörter:MODIS, Time series generation, Software development
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W EO - Erdbeobachtung
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Deutsches Fernerkundungsdatenzentrum > Umwelt und Sicherheit
Hinterlegt von: Dr.rer.nat. Thilo Wehrmann
Hinterlegt am:06 Mär 2009
Letzte Änderung:23 Apr 2013 11:17

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Copyright © 2008-2013 Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.