Skip to main content
ARS Home » Plains Area » Bushland, Texas » Conservation and Production Research Laboratory » Soil and Water Management Research » Research » Publications at this Location » Publication #240261

Title: Remote sensing for crop water use management: Present status and challenge

item Gowda, Prasanna
item CHAVEZ, JOSE - Colorado State University
item Colaizzi, Paul
item Howell, Terry

Submitted to: ASA-CSSA-SSSA Annual Meeting Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 10/15/2009
Publication Date: 11/1/2009
Citation: Gowda, P., Chavez, J.L., Colaizzi, P.D., Howell, T.A. 2009. Remote sensing for crop water use management: Present status and challenge [abstract]. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America 2009 Annual Meeting Abstracts, November 1-5, 2009, Pittsburgh,Pennsylvania. 2009 CD ROM.

Interpretive Summary:

Technical Abstract: Evapotranspiration (ET) is an essential component of the water balance and a major consumptive use of irrigation water and precipitation on cropland. Remote sensing based agrometeorological models are presently most suited for estimating crop water use at both field and regional scales. Numerous ET models have been developed in the last three decades to make use of visible, near-infrared (NIR), shortwave infrared (SWIR), and most importantly, thermal data acquired by sensors on airborne and satellite platforms. Remote sensing based models have the potential to accurately estimate regional ET; however, there are numerous opportunities to further improve them. The spatial and temporal resolution of currently available remote sensing data from the existing set of earth-observing satellite platforms are insufficient to be used in the estimation of spatially distributed ET for on-farm irrigation scheduling purposes, especially at the field scale (~10 to 200 ha). This will be constrained further if the thermal sensors on future Landsat satellites are abandoned. Research opportunities exist to improve the spatial and temporal resolution of ET by developing algorithms to sharpen or enhance the spatial resolution of surface temperature data derived from satellites with lower resolutions like ASTER/MODIS thermal images using same/other-sensor high-resolution visible, NIR, and SWIR images. Two large-scale, multinstitutional research experiments — Bushland Evapotranspiration and Agricultural Remote Sensing Experiment (BEAREX07 & 08) — were conducted at the USDA-ARS Conservation and Production Research Laboratory located at Bushland, Texas, during the 2007 and 2008 cropping seasons to further examine these possibilities.