Title: Monitoring Regional Evapotranspiration Using SEBAL Approach and MODIS Time-Series Data in the Center of Rice Producing Regions in West Java - Indonesia
Abstract: Irrigated agriculture is one of the biggest consumers of fresh water. Considering the growing water scarcity, it is essential to use irrigation water more efficiently. Evapotranspiration from irrigated land is a useful indicator to evaluate the adequacy and reliability of irrigation as well as the equity in water use. Conventional methods to compute evapotranspiration are based on climate data and only provide point estimates. Better regional estimation of evapotranspiration can be retrieved from satellite remote sensing. Such methods provide a powerful means to compute actual evapotranspiration (ET a ) from individual pixel to an entire image. One of the most popular remote sensing algorithms in the retrieval of ET a is SEBAL (Surface Energy Balance Algorithm on Land). In SEBAL, ET a is evaluated as the residual when net radiation, soil heat flux, and sensible heat flux are retrieved with satellite data combined with some surface observations. SEBAL has been used operationally in many countries since 1990’s, but its application in Indonesia was very limited. This study aims to evaluate spatio-temporal variation of ET a of paddy field in the northern West Java as one of the most important rice-producing regoins in Indonesia. We used SEBAL approach to monitor ET a in the region. Time-series MODIS (MOderate resolution Imaging Spectroradiometer) data of May-August 2004 have been used to evaluate daily and seasonal ET a over paddy field in study area. This paper presents the findings of the study.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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