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The Surface Energy Balance Algorithm for Land (SEBAL) uses the surface energy balance to estimate aspects of the hydrological cycle. SEBAL maps evapotranspiration, biomass growth, water deficit and soil moisture. Its main creator is Prof. Dr. W.G.M. Bastiaanssen 〔(【引用サイトリンク】title=Precious Resources: Water and Landsat’s Thermal Band )〕 == Model background == The basis of SEBAL is the energy balance: the energy driving the hydrological cycle is equal to the incoming energy minus: #the energy going to heating of the soil and air, and #the energy reflected back to space. SEBAL quantifies the energy balance using satellite data as an input.〔Irmak (Kilic), A., R.G. Allen, J. Kjaersgaard, J. Huntington, B. Kamble, R. Trezza, and I. Ratcliffe. 2012. Operational Remote Sensing of ET and Challenges. Chapter 21 in Evapotranspiration – Remote Sensing and Modeling (A. Irmak (Kilic), editor), Publisher: InTech. (【引用サイトリンク】title=Evapotranspiration - Remote Sensing and Modeling )〕 Land surface characteristics such as surface albedo, leaf area index, vegetation index and surface temperature are derived from satellite imagery. In addition to satellite images, the SEBAL model requires meteorological data, such as wind speed, humidity, solar radiation and air temperature. It uses meteorological data from the moment of the recording of the satellite data to solve the 'instantaneous' energy balance, and uses extrapolation to calculate daily evapotranspiration. Using a time series of satellite and meteorological data, periodic cumulative (e.g. weekly, monthly, yearly) evapotranspiration data can be calculated.〔(【引用サイトリンク】title=A scientific description of SEBAL procedure )〕 The SEBAL model uses the energy balance, as opposed to in hydrology common water balance to solve for evapotranspiration. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「SEBAL」の詳細全文を読む スポンサード リンク
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