@inproceedings{96bdf7cc79d24737a14c6b4d8533b7ec,
title = "Two different remote sensing techniques for monitoring crop coefficient and water requirement of cotton",
abstract = "Crop coefficient of cotton is estimated using two remote sensing techniques: an energy balance approach (SEBAL) and a reflectance-based method (Kcbrf). The results are compared with tabulated values in the FAO-56 paper, as well as the Kc values developed by the US Bureau of Reclamation (USBR) to be used in the {"}Lower Colorado River Accounting System (LCRAS).{"} Crop coefficients from all four sources (SEBAL, K cbrf, FAO-56, and LCRAS) are analysed to approximate daily and seasonal water requirement of cotton for the growing season of 2008. The results show that both FAO-56 and LCRAS underestimate cotton irrigation demand due to assuming a shorter growing season and ignoring a heavy pre-irrigation event. Remotely sensed estimates of water requirement were also validated using actual irrigation depth data.",
keywords = "Cotton, Crop coefficient, Evapotranspiration, FAO-56, LCRAS, SEBAL, Southern California, USA",
author = "Saleh Taghvaeian and Neale, {Christopher M.U.} and {Dos Santos}, {Carlos A.C.} and Doyle Watts and John Osterberg and Sritharan, {Subramania I.}",
year = "2012",
language = "English (US)",
isbn = "9781907161278",
series = "IAHS-AISH Publication",
pages = "89--93",
booktitle = "Remote Sensing and Hydrology",
note = "Remote Sensing and Hydrology Symposium ; Conference date: 27-09-2010 Through 30-09-2010",
}