Mesoscale modeling of evapotranspiration using remote sensing data

Wolfram Mauser

doi:10.1117/12.264259

17 January 1997 Mesoscale modeling of evapotranspiration using remote sensing data

Wolfram Mauser

Proceedings Volume 2959, Remote Sensing of Vegetation and Sea; (1997) https://doi.org/10.1117/12.264259
Event: Satellite Remote Sensing III, 1996, Taormina, Italy

Abstract

For the purpose of spatial modeling of actual evapotranspiration (aET) at different scales from the field- to the landscape-scale the PROMET model-family has been developed. It is based on a gridded approach which allows the easy integration of parameters derived from remote sensing data. The model consists of a kernel for the process description and a spatial parameter modeler, which provides and organizes the spatial input data at different scales from the field- to the mesoscale. It is shown, that the results of the kernel-model at filed scale compares well with measured aET for different land-uses. After verification on the field scale the model is run on a 100 X 150 km mesoscale test-site at a resolution of 1 km. Fractional land-cover was determined using time-series of NOAA-AVHRR data and an unmixing procedure for forest, grassland, agriculture, urban areas and water. It is shown, that this unmixed land-use information corresponds well with a LANDSAT land-use classification conducted in the test region. A digital elevation model and a soil map, interpolated meteorological data from the German Weather Service and data on the development of LAI and plant height was added to the data set. The model was run over one growing season on an hourly basis. To verify the spatial pattern of the modelled aET the model results of one date were compared with surface temperature distributions measured from NOAA/AVHRR at the same time. Both are in good agreement.

Citation Download Citation

Wolfram Mauser "Mesoscale modeling of evapotranspiration using remote sensing data", Proc. SPIE 2959, Remote Sensing of Vegetation and Sea, (17 January 1997); https://doi.org/10.1117/12.264259

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available