Evaluation of Wavelet Model for Estimating Evapotranspiration Using Satellite Images Data (Stations: Anar, Kerman, Rafsanjan and Shahrebabak)

Abstract

Reference evapotranspiration is one of the necessary parameters to determine crop water requirements and irrigation planning. Having accurate estimates of this parameter is essential for planning and managing of water resources. Several experimental models have been proposed to estimate evapotranspiration. According to the spatial variability of climatic parameters, using remote sensing method that considers these changes is very favorable. Among the most widely used models that accurately estimate evapotranspiration using remote sensing, can be mentioned wavelet model. In this regard, the purpose of present study is to evaluate the accuracy of wavelet models to estimate the reference evapotranspiration using parameters derived from satellite images contains the Earth's surface temperature and amount of water vapor in the atmosphere. In this study, used atmospheric and satellite images data of four station contains Anar, Kerman, Rafsanjan and Shahrebabak to develop and evaluate wavelet models. In the first scenario, temperature, in the second scenario, atmosphere water vapor parameter and in third scenario, both parameters simultaneously was used as the model input. Results of this study showed that despite the high accuracy of models in different scenarios, the wavelet model use two-parameters, temperature and steam simultaneously (third scenario), with a coefficient of 90% compared to other models had the more accurate.

Keywords

• atmosphere water vapor
• crop water requirement
• modis sensor
• temperature
• terra spacecraft