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  Downscaling Land Surface Temperature in an Urban Area: A Case Study for Hamburg, Germany

Bechtel, B., Zaksek, K., & Hoshyaripour, G. (2012). Downscaling Land Surface Temperature in an Urban Area: A Case Study for Hamburg, Germany. Remote Sensing, 4(10), 3184-3200. doi:10.3390/rs4103184.

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 Urheber:
Bechtel, Benjamin1, Autor           
Zaksek, Klemen2, Autor
Hoshyaripour, Gholamali1, Autor           
Affiliations:
1B 5 - Urban Systems - Test Bed Hamburg, Research Area B: Climate Manifestations and Impacts, The CliSAP Cluster of Excellence, External Organizations, Bundesstraße 53, 20146 Hamburg, DE, ou_1863485              
2external, ou_persistent22              

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Schlagwörter: HEAT-ISLAND ANALYSIS; VEGETATION INDEX; SPATIAL-RESOLUTION; AIR-TEMPERATURE; IMAGE FUSION; TIME-SERIES; TM DATA; SATELLITE; CLASSIFICATION; URBANIZATIONland surface temperature; downscaling; urban heat island; Hamburg;
 Zusammenfassung: Monitoring of (surface) urban heat islands (UHI) is possible through satellite remote sensing of the land surface temperature (LST). Previous UHI studies are based on medium and high spatial resolution images, which are in the best-case scenario available about four times per day. This is not adequate for monitoring diurnal UHI development. High temporal resolution LST data (a few measurements per hour) over a whole city can be acquired by instruments onboard geostationary satellites. In northern Germany, geostationary LST data are available in pixels sized 3,300 by 6,700 m. For UHI monitoring, this resolution is too coarse, it should be comparable instead to the width of a building block: usually not more than 100 m. Thus, an LST downscaling is proposed that enhances the spatial resolution by a factor of about 2,000, which is much higher than in any previous study. The case study presented here (Hamburg, Germany) yields promising results. The latter, available every 15 min in 100 m spatial resolution, showed a high explained variance (R-2: 0.71) and a relatively low root mean square error (RMSE: 2.2 K). For lower resolutions the downscaling scheme performs even better (R-2: 0.80, RMSE: 1.8 K for 500 m; R-2: 0.82, RMSE: 1.6 K for 1,000 m).

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Sprache(n): eng - English
 Datum: 2012-10
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 000313914100015
DOI: 10.3390/rs4103184
 Art des Abschluß: -

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Titel: Remote Sensing
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 4 (10) Artikelnummer: - Start- / Endseite: 3184 - 3200 Identifikator: ISSN: 2072-4292