An operational method to estimate evapotranspiration using MODIS data during winter wheat growing season
International Journal of Remote Sensing
The Penman–Monteith (P-M) model has been widely used to estimate actual evapotranspiration (ET). However, its application is mainly constrained to within field scales because the surface resistance under water stress at large scales is difficult to define. The Normalized Difference Water Index (NDWI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data was shown to be sensitive to the crop water content and water deficit, and used to estimate the surface resistance in the P-M model. The modelled latent heat fluxes matched well with the eddy correlation observations, and the spatial distributions also showed a similar pattern as the results from the one-layer model in an irrigated area at the downstream of Yellow River. To reduce the influence of cloud and other atmospheric disturbances, the daily surface resistance was retrieved from 8-day temporal composite MODIS NDWI. The modelled daily ET showed consistent temporal changes with the observations during the wheat growing season. This method showed advantages over the other remote sensing models, for example, the one-layer model, which required daily radiative temperature inputs and cannot be implemented under cloudy conditions.
© 2011 Taylor & Francis
Yi, Y., and Yang D. (2011). An operational method to estimate evapotranspiration using MODIS data during winter wheat growing season. International Journal of Remote Sensing, 32(17): 4915-4932, doi: 10.1080/01431161.2010.492252