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ARS Home » Research » Publications at this Location » Publication #120607
Title: DETERMINING CANOPY TEMPERATURE AND WATER STRESS USING MULTISPECTRAL REMOTE SENSING

Author
item MAAS, STEPHAN - TEXAS TECH. INSTITUTE
item Fitzgerald, Glenn
item Detar, William

Submitted to: Agronomy Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 11/3/1999
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: A study was conducted during 1998 and 1999 to test a procedure for determining cotton canopy temperature and water stress using multispectral remote sensing. A 0.7-ha field planted to the Acala cotton variety "MAXXA' was divided into six test plots. Two of the plots were adequately irrigated over the entire season; the remaining four plots received either an early or a late stress treatment. Ground cover was measured weekly in each plot. Plant canopy and bare soil temperature were continuously monitored using miniature IRT's. Information from ground measurements was compared with remote sensing observations obtained using the Shafter Airborne Multispectral Remote Sensing System (SAMRSS). SAMRSS obtained imagery in the visible, near-IR, and thermal IR. Imagery was obtained daily during the water stress treatments. Remote sensing data were used to unmix a linear mixture model of surface temperature to estimate canopy temperature and plant stress.