Determination of maize water requirement using remote sensing data and SEBAL algorithm
作者: Mohammad Ismaeil KamaliRouzbeh Nazari
作者单位: 1Water Engineering Department, Ferdowsi University of Mashhad, Iran
2Civil and Environmental Engineering Department, Rowan University, USA
刊名: Agricultural Water Management, 2018, Vol.209 , pp.197-205
来源数据库: Elsevier Journal
DOI: 10.1016/j.agwat.2018.07.035
关键词: EvapotranspirationCrop coefficientLandsatGISInterpolation
原始语种摘要: Abstract(#br)Efficient agricultural water demand management in arid and semi-arid regions is key in continuing crop production in a changing climate. As such, there’s a need for further investigation on various crops to identify the optimum water requirements to avoid water wasting in regions that are already facing water shortage. The focus of this work is to determine water requirement maize farming Mazandaran Province in Northern Iran, located on the southern side of the Caspian Sea, using Landsat satellite data. In order to use SEBAL algorithm, the images were atmospheric calibrated. Evapotranspiration maps with RMSE values equals to 0.73, 1.38 and 0.74 mm/day were produced and compared to Reference Book (RB), National Water Document (NWD) and FAO56 values. Furthermore, by computing...
全文获取路径: Elsevier  (合作)
影响因子:2.203 (2012)

  • requirement 要求
  • maize 玉米
  • water 
  • values 价值观
  • atmospheric 大气的
  • Landsat 陆地卫星
  • province 
  • coefficient 系数
  • algorithm 算法
  • farming 农事