Estimation and Validation of Land Surface Evaporation Using Remote Sensing and Meteorological Data in North China

There is a growing interest in quantifying regional scale actual evapotranspiration (ET) for water resource management. Using moderate-resolution Imaging spectroradiometer (MODIS) data, in combination with meteorological records, an integrated approach is proposed to estimate daily ET over 1-km grid covering North China. The Surface Energy Balance System (SEBS) is adapted to partition the sensible heat from latent heat. A gap-filling method for ET estimation during cloudy intervals is accomplished by a combination of SEBS outputs and Penman-Monteith equation. The proposed scheme, named ETWatch, is calibrated and evaluated using measurements from four flux sites in the semi-humid regions with different soil types, land cover, and climate conditions in North China. The gap-filling method reproduces observed fluxes with satisfied correlation, yielding about a 22% MAPD in Yucheng agriculture site. The improved method could be used to study the impact of different agricultural water consuming patterns in North China.

[1]  Maosheng Zhao,et al.  Development of a global evapotranspiration algorithm based on MODIS and global meteorology data , 2007 .

[2]  J. Norman,et al.  Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature , 1995 .

[3]  S. Running,et al.  Regional evaporation estimates from flux tower and MODIS satellite data , 2007 .

[4]  Martha C. Anderson,et al.  A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation , 2007 .

[5]  W. Kustas,et al.  A verification of the 'triangle' method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface e , 1997 .

[6]  William P. Kustas,et al.  Using a remote sensing field experiment to investigate flux-footprint relations and flux sampling distributions for tower and aircraft-based observations , 2006 .

[7]  Z. Qin,et al.  A practical split‐window algorithm for retrieving land‐surface temperature from MODIS data , 2005 .

[8]  Daoyi Chen,et al.  Diurnal Variation of Surface Fluxes During Thorough Drying (or Severe Drought) of Natural Prairie , 1996 .

[9]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[10]  Lorraine Remer,et al.  The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..

[11]  Eloise Kendy,et al.  Groundwater Exploitation and Its Impact on the Environment in the North China Plain , 2001 .

[12]  M. Mccabe,et al.  Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data , 2008 .

[13]  Lu Zhang,et al.  Improving water use efficiency of irrigated crops in the North China Plain : measurements and modelling , 2001 .

[14]  Gary D. Clow,et al.  Comparison of aerodynamically and model-derived roughness lengths (z , 2004 .

[15]  Gautam Bisht,et al.  Comparison of evaporative fractions estimated from AVHRR and MODIS sensors over South Florida , 2004 .

[16]  Marc B. Parlange,et al.  Mixture of Time Scales in Evaporation: Desorption and Self-Similarity of Energy Fluxes , 2000 .

[17]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[18]  W. Bastiaanssen,et al.  A remote sensing surface energy balance algorithm for land (SEBAL). , 1998 .

[19]  Z. Su.  The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[20]  Jin Chen,et al.  A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter , 2004 .