Paper
5 August 2013 A spatial downscaling procedure of MODIS derived actual evapotranspiration using Landsat images at central Greece
M. Spiliotopoulos, N. Adaktylou, A. Loukas, H. Michalopoulou, N. Mylopoulos, L. Toulios
Author Affiliations +
Proceedings Volume 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013); 879508 (2013) https://doi.org/10.1117/12.2027536
Event: First International Conference on Remote Sensing and Geoinformation of Environment, 2013, Paphos, Cyprus
Abstract
In this study, the Surface Energy Balance Algorithm for Land (SEBAL) was used to derive daily actual evapotranspiration (ETa) distributions from Landsat and MODIS images separately. The study area is the Lake Karla basin in Thessaly, Central Greece. Meteorological data from the archive of Center for Research and Technology, Thessaly (CERETETH) have also been used. The methodology was developed using satellite and ground data for the period of summer 2007. Landsat and MODIS imagery were combined in order to have data with high temporal and spatial resolution (downscaling). The downscaling technique applied is the output downscaling with regression between images. This technique disaggregates imagery by applying linear regression between two MODIS products to the previous or subsequent Landsat product. After the calculation of a first order linear regression between two MODIS-derived ETa maps the next step is the regression to the ETa map derived from the prior Landsat image to predict the disaggregated subsequent Landsat ETa map. The results are satisfactory, giving the general trend of ETa derived from the original SEBAL procedure.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Spiliotopoulos, N. Adaktylou, A. Loukas, H. Michalopoulou, N. Mylopoulos, and L. Toulios "A spatial downscaling procedure of MODIS derived actual evapotranspiration using Landsat images at central Greece ", Proc. SPIE 8795, First International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2013), 879508 (5 August 2013); https://doi.org/10.1117/12.2027536
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Cited by 9 scholarly publications.
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KEYWORDS
Earth observing sensors

Landsat

MODIS

Spatial resolution

Satellites

Heat flux

Algorithm development

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