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Satellite remote sensing as a tool for spatial evapotranspiration estimation in vegetated areas

Bibliographic Data

ID9849560
AuthorsCharlotte Bay Hasager (0000-0002-2124-5651, a Meteorology and Wind Energy Department, Risø National Laboratory , DK-4000 , Roskilde, corresponding author)
Year1993
Volume93
Issue1
Pages56-62
Publication date1993-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGeografisk Tidsskrift-Danish Journal of Geography (JOURNAL)
Journal identifiersISSN: 0016-7223 • E-ISSN: 1903-2471
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00167223.1993.10649336
OpenAlexW2150883882
LanguageEN
References cited2

Hasager, Charlotte Bay: Satellite remote sensing as a tool for spatial evapotranspiration estimation in vegetated areas. Geografisk Tidsskrift 93:56–62. Copenhagen 1993. The present paper outlines and tests a method for satellite mapping of evapotranspiration based on the canopy resistance theory. The dataset used for the analysis was obtained during a field campaign conducted in an agricultural region east of Viborg, Jutland, April to August 1990. Scale between low-resolution NOAA satellite images and ground truth values were tested with a single high-resolution Landsat satellite image. The results are found to be in accordance with field observations. In accordance with canopy resistance theory, a simple empirical algorithm was found effective for evapotranspiration estimation using satellite data. This approach also produced better defined differences between fields than a model based on net radiation, air temperature, and satellite-derived surface temperature

Cartography · Evapotranspiration · Geography · Ground truth · Image resolution · Meteorology · Remote sensing · Satellite · Satellite imagery · Scale (ratio · Artificial Intelligence · Climate variability and models · Computer Science · Environmental Science · Hydrology and Watershed Management Studies · Plant Water Relations and Carbon Dynamics

  • Estimation of the Spatial Variation in Evapotranspiration based on Landsat TM and Noaa Satellite Imagery

    Henrik Søgaard•Geografisk Tidsskrift-Danish…•1992

Citation velocityhistorical
Highly citedNo

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