Evapotranspiration estimation using a normalized difference vegetation index transformation of satellite data

Abstract

Evapotranspiration of irrigated crops on two irrigation service areas along the lower Colorado River was estimated using a normalized difference vegetation index of satellite data. A procedure was developed which equated the index to crop coefficients. Evapotranspiration estimates for fields for three dates of thematic mapper data were highly correlated with ground estimates. Service area estimates using thematic mapper and Advanced Very High Resolution Radiometer data agreed well with estimates based on US Geological Survey gauging station data.

Annual groundwater evapotranspiration mapped from single satellite scenes

“…Photosynthesis requires leaf conductance for the uptake of carbon dioxide, and during this process water is evaporated to the atmosphere. Because of this chain of related properties, NDVI can be used as a competent surrogate for estimation of both photosynthetic activity (Sellers et al, 1992;Chong et al, 1993); and ET (Kerr et al, 1989;Chong et al, 1993;Kustas et al, 1994;Seevers and Ottmann, 1994;Szilagyi et al, 1998;Szilagyi, 2000Szilagyi, , 2002. As shown by Baugh and Groeneveld (2006) and Groeneveld and Baugh (2007), NDVI provides greatly improved prediction after conversion to NDVI * , a process that removes non-systematic variation.…”

Correcting satellite data to detect vegetation signal for eco-hydrologic analyses

“…1016/j.jhydrol.2007.07.001 large-scale study of hydrology. Calculated from satellite data, normalized difference vegetation index (NDVI) is an indicator of vegetation vigor often used for measurement of environmental response to landscape-scale hydrology, including global climate change (Justice et al, 1998;Running and Nemani, 1991;Stow, 1995), rainfall (Wang et al, 2003;Ji and Peters, 2003) and evapotranspiration (ET) (Kerr et al, 1989;Chong et al, 1993;Kustas et al, 1994;Seevers and Ottmann, 1994;Szilagyi et al, 1998;Szilagyi, 2000Szilagyi, , 2002. Because of the relationship of vegetation vigor to hydrology, ET disposition and water supply, NDVI serves as a surrogate measure of these factors and has direct economic and hydrologic interest at the watershed scale, especially in arid and semi-arid environments.…”

Monitoring Vegetation Phenological Cycles in Two Different Semi-Arid Environmental Settings Using a Ground-Based NDVI System: A Potential Approach to Improve Satellite Data Interpretation

“…5 In both cases, NDVI exhibited higher values during late spring and early summer (May to July) and lower values in mid-summer which continued to the end of September. The greasewood NDVI values from the SNK1 site were 1.3 to 1.8 fold higher than the greasewood NDVI values from the SV1 site during the period from May 5 to June 11.…”

“…Based on traditional remote sensing routines, visible and near-infrared (NIR) based vegetation indices (VIs) have been widely and successfully used in various ET estimation models [5][6][7][8]. The basis of using VIs to estimate a wide range of ecosystem processes is the underlying assumption shared by most of the remote sensing community, that the optical properties of terrestrial vegetation in the visible and NIR regions of the electromagnetic spectrum are key indicators of many physiological and biophysical processes.…”