Two different remote sensing techniques for monitoring crop coefficient and water requirement of cotton

Saleh Taghvaeian, Christopher M.U. Neale, Carlos A.C. Dos Santos, Doyle Watts, John Osterberg, Subramania I. Sritharan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationRemote Sensing and Hydrology
Pages89-93
Number of pages5
StatePublished - 2012
Externally publishedYes
EventRemote Sensing and Hydrology Symposium - Jackson Hole, WY, United States
Duration: Sep 27 2010Sep 30 2010

Publication series

NameIAHS-AISH Publication
Volume352
ISSN (Print)0144-7815

Conference

ConferenceRemote Sensing and Hydrology Symposium
Country/TerritoryUnited States
CityJackson Hole, WY
Period9/27/109/30/10

Keywords

  • Cotton
  • Crop coefficient
  • Evapotranspiration
  • FAO-56
  • LCRAS
  • SEBAL
  • Southern California
  • USA

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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