Remote Sens. 2013, 5(5), 2327-2347; doi:10.3390/rs5052327
Article

Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation Treatments

1 Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO 80523, USA 2 Northern Colorado Water Conservancy District, Berthoud, CO 80513, USA
* Author to whom correspondence should be addressed.
Received: 11 March 2013; in revised form: 9 May 2013 / Accepted: 9 May 2013 / Published: 14 May 2013
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Abstract: Optical and thermal remote sensing data were acquired at ground level over several turfgrass species under different soil and irrigation treatments in northern Colorado, USA. Three vegetation indices (VIs), estimated based on surface spectral reflectance, were sensitive to the effect of reduced water application on turfgrass quality. The temperature-based Grass Water Stress Index (GWSI) was also estimated by developing non-transpiring and non-water-stressed baselines. The VIs and the GWSI were all consistent in (i) having a non-linear relationship with the water application depth; and, (ii) revealing that the sensitivity of studied species to water availability increased in order from warm season mix to Poa pratensis L. and then Festuca spp.. Implemented soil preparation treatments had no significant effect on turfgrass quality and water stress. The differences between GWSI-based estimates of water use and the results of a complex surface energy balance model (METRIC) were not statistically significant, suggesting that the empirical GWSI method could provide similar results if the baselines are accurately developed under the local conditions of the study area.
Keywords: turfgrass; remote sensing; vegetation index; water stress; water use

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MDPI and ACS Style

Taghvaeian, S.; Chávez, J.L.; Hattendorf, M.J.; Crookston, M.A. Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation Treatments. Remote Sens. 2013, 5, 2327-2347.

AMA Style

Taghvaeian S, Chávez JL, Hattendorf MJ, Crookston MA. Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation Treatments. Remote Sensing. 2013; 5(5):2327-2347.

Chicago/Turabian Style

Taghvaeian, Saleh; Chávez, José L.; Hattendorf, Mary J.; Crookston, Mark A. 2013. "Optical and Thermal Remote Sensing of Turfgrass Quality, Water Stress, and Water Use under Different Soil and Irrigation Treatments." Remote Sens. 5, no. 5: 2327-2347.

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