首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Estimation of crop evapotranspiration of irrigation command area using remote sensing and GIS
Institution:1. Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Brazil;2. IHE Delft Institute for Water Education, Delft, Netherlands;3. Google Inc., CA, United States;4. Earth Science Division, NASA Ames Research Center, CA, United States;5. Department of Applied Environmental Science, California State University, CA, United States;1. FutureWater, Cartagena, Spain;2. Comunidad de Regantes del Campo de Cartagena, Cartagena, Spain;3. Universidad Politécnica de Cartagena, Cartagena, Spain;1. Department of Irrigation and Reclamation Engineering, University of Tehran, Iran;2. National center for satellite observation, Iranian space agency, Alborz, Iran;3. Department of Water Engineering, University of Guilan, Iran;1. Department of Water Resources, Faculty of Civil Engineering, K. N. Toosi University of Technology, Tehran, Iran;2. Department of GIS and RS, Faculty of Environmental and Energy, Islamic Azad University, science and Research Branch, Iran
Abstract:This paper describes the use of satellite-based remote sensing (RS) data and geographic information system (GIS) tools for estimating seasonal crop evapotranspiration in Mahi Right Bank Canal (MRBC) command area of Gujarat, India. Crop coefficients (Kc) for various major crops grown in MRBC were estimated, empirically, from the RS derived soil adjusted vegetation index (SAVI) values. A reference crop evapotranspiration (ET0) map was generated from point meteorological observations. The Kc and ET0 maps were combined to generate seasonal crop evapotranspiration (ETcrop) map which highlighted spatial variation in ETcrop ranging from more than 600 mm for healthy tobacco crops to less than 150 mm for very poor wheat crops.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号