Paul D. Colaizzi

TL;DR: A water by nitrogen experiment was conducted during the 1999 cotton season near Phoenix, Arizona, where one objective was to test the ability of remotely sensed data to distinguish between water and nitrogen stress as mentioned in this paper.

TL;DR: In this paper, a literature review was done to evaluate numerous commonly used remote sensing based algorithms for their ability to estimate regional evapotranspiration (ET) accurately, reported estimation accuracy varied from 67 to 97% for daily ET and above 94% for seasonal ET indicating that they have the potential to estimate local ET accurately.

TL;DR: In this article, several strategies to reduce groundwater withdrawals from the Ogallala Aquifer were reviewed without any reductions in irrigated land area or crop productivity, and the most promising evaluated were: increasing weather-based irrigation scheduling using the Texas High Plains Evapotranspiration Network (TXHPET); converting gravity-irrigated land (27% of total) to center pivot irrigation; and replacing high-water to lower-water demand crops (i.e., corn to cotton).

TL;DR: In this article, two versions of the TSEB were evaluated, where a single TR measurement was used (TSEB-TR) and separate measurements of soil (TS) and canopy (TC) surface temperatures were used to solve the energy budgets of these layers separately.

TL;DR: In this paper, a literature review is done to evaluate numerous remote sensing based algorithms for their ability to accurately estimate regional evapotranspiration (ET) for on-farm irrigation scheduling purposes, especially at the field scale.