Persistent Link:
http://hdl.handle.net/10150/276995
Title:
Remote measurement of turf water stress and turf biomass
Author:
Kelly, Harold Lorain Jr., 1958-
Issue Date:
1989
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Increasing irrigation efficiency on turfgrass could help reduce water consumption on large turf facilities. Two experiments were conducted using perennial ryegrass (Lolium perenne (L.) Derby) to evaluate the potential of using remote sensing to estimate turf water status, predict daily evapotranspiration (ET), and estimate turf biomass. In the first experiment a crop water stress index, utilizing remotely sensed canopy temperature, were used to schedule irrigations on 6 of 10 drainage lysimeters. Three of the remaining lysimeters were irrigated used on meteorological estimates of ET calculated using a modified Penman equation. The results of this experiment were inconclusive due to inconsistent lysimeter drainage characteristics. The second experiment was conducted on a turf green with multiple heights to evaluate the potential for using canopy radiance to estimate turf biomass. These results showed that turf biomass could be estimated from a vegetative index (Red Ratio = Near Infrared/Red radiance) obtained through measurements of canopy radiance (r2 = 0.91).
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Soil moisture -- Measurement -- Instruments.; Lysimeter.; Turf management -- Arizona.; Irrigation -- Management.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Plant Sciences
Degree Grantor:
University of Arizona
Advisor:
Kopec, David M.; Mancino, Charles F.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleRemote measurement of turf water stress and turf biomassen_US
dc.creatorKelly, Harold Lorain Jr., 1958-en_US
dc.contributor.authorKelly, Harold Lorain Jr., 1958-en_US
dc.date.issued1989en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractIncreasing irrigation efficiency on turfgrass could help reduce water consumption on large turf facilities. Two experiments were conducted using perennial ryegrass (Lolium perenne (L.) Derby) to evaluate the potential of using remote sensing to estimate turf water status, predict daily evapotranspiration (ET), and estimate turf biomass. In the first experiment a crop water stress index, utilizing remotely sensed canopy temperature, were used to schedule irrigations on 6 of 10 drainage lysimeters. Three of the remaining lysimeters were irrigated used on meteorological estimates of ET calculated using a modified Penman equation. The results of this experiment were inconclusive due to inconsistent lysimeter drainage characteristics. The second experiment was conducted on a turf green with multiple heights to evaluate the potential for using canopy radiance to estimate turf biomass. These results showed that turf biomass could be estimated from a vegetative index (Red Ratio = Near Infrared/Red radiance) obtained through measurements of canopy radiance (r2 = 0.91).en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectSoil moisture -- Measurement -- Instruments.en_US
dc.subjectLysimeter.en_US
dc.subjectTurf management -- Arizona.en_US
dc.subjectIrrigation -- Management.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplinePlant Sciencesen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorKopec, David M.en_US
dc.contributor.advisorMancino, Charles F.en_US
dc.identifier.proquest1336697en_US
dc.identifier.oclc22918675en_US
dc.identifier.bibrecord.b17534562en_US
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