Assessment of evapotranspiration using remote sensing data and grid computing and application

The estimation of evapotranspiration (ET) plays an essential role in all activities related to water resources management. In this study we developed a procedure to calculate the spatial distribution of evapotranspiration using remote sensing data. What distinguishes it from other procedures is the use of Grid Computing technique to calculate the evapotranspiration at regional scale and to manage the distributed data sets. One other merit is that it requires a small number of inputs, all other data such net radiation, soil heat flux, albedo, etc., were obtained from remote sensing data. This procedure calculates also the NDVI (Normalized Difference Vegetation Index) and LST (Land Surface Temperature) and offer as a result the corresponding thematic maps. A Web-based client interface has been also built in order to provide the application with Internet-based accessibility. The procedure has been applied to the Dobrogea region located in the south-east of Romania, using a Landsat ETM+ image acquired in 7th June 2000. The evapotranspiration was retrieved during satellite overpass and integrated for 24 hours on pixel-by-pixel base for daily estimation. The estimated evapotranspiration has been compared with local measurements. The results obtained are promising and appear to provide acceptable estimation over the study area.

[1]  B. Markham,et al.  Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .

[2]  X. Jia,et al.  A Ground-Based Method for Calibrating Remotely Sensed Surface Temperature for use in Estimating Evapotranspiration , 2009 .

[3]  Bunkei Matsushita,et al.  Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test , 2009 .

[4]  P. Chavez.  Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[5]  Vijay P. Singh,et al.  EVALUATION AND GENERALIZATION OF 13 MASS‐TRANSFER EQUATIONS FOR DETERMINING FREE WATER EVAPORATION , 1997 .

[6]  S. Islam,et al.  Estimation of surface evaporation map over Southern Great Plains using remote sensing data , 2001 .

[7]  José A. Sobrino,et al.  Land surface temperature retrieval from LANDSAT TM 5 , 2004 .

[8]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[9]  C. Maftei,et al.  Statistical Analysis of Climate Evolution in Dobrudja Region , 2008 .

[10]  José A. Sobrino,et al.  A Comparative Study of Land Surface Emissivity Retrieval from NOAA Data , 2001 .

[11]  P. Chavez.  An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[12]  T. Kerh,et al.  Modeling reference evapotranspiration by generalized regression neural network in semiarid zone of Africa , 2008 .

[13]  S. Liang.  Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .

[14]  Sheng-yang Li,et al.  Remote sensing image deblurring based on grid computation , 2006 .