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      KCI등재후보

      Multi-spectral Reflectance of Warm-Season Turfgrasses as Influenced by Deficit Irrigation

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      https://www.riss.kr/link?id=A104194395

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      다국어 초록 (Multilingual Abstract)

      Remote sensing using multispectral radiometry may be a useful tool to detect drought stress in turf. The objective of this research was to investigate the correlation between drought stress and multispectral reflectance (MSR) from the turf canopy. St. Augustinegrass (Stenotaphrum secundatum[Walt.] Kuntze.) cultivars ‘Floratam’ and ‘Palmetto’, ‘SeaIsle 1’ seashore paspalum (Paspalum vaginatum Swartz.), ‘Empire’ zoysiagrass (Zoysia japonica Steud.), and ‘Pensacola’ bahiagrass (Paspalum notatumFlugge) were established in lysimeters in the University of Florida Envirotron greenhouse facility in Gainesville. Irrigation was applied at 100%, 80%, 60%, or 40% of evapotranspiration (ET). Weekly evaluations included: a) shoot quality, leaf rolling, leaf firing b) soil moisture, chlorophyll content index; c) photosynthesis and d) multispectral reflectance. All the measurements were correlated with MSR data. Drought stress affected the infrared spectral region more than the visible spectral region. Reflectance sensitivity to water content of leaves was higher in the infrared spectral region than in the visible spectral region. Grasses irrigated at 100% and 80% of ET had no differences in normalized difference vegetation indices (NDVI), leaf area index (LAI), and stress indices. Grasses irrigated at 60% and 40% of ET had differences in NDVI, LAI, and stress indices. All measured wavelengths except 710nm were highly correlated (P < 0.0001) with turf visual quality, leaf firing, leaf rolling, soil moisture, chlorophyll content index, and photosynthesis. MSR could detect drought stress from the turf canopy.
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      Remote sensing using multispectral radiometry may be a useful tool to detect drought stress in turf. The objective of this research was to investigate the correlation between drought stress and multispectral reflectance (MSR) from the turf canopy. St....

      Remote sensing using multispectral radiometry may be a useful tool to detect drought stress in turf. The objective of this research was to investigate the correlation between drought stress and multispectral reflectance (MSR) from the turf canopy. St. Augustinegrass (Stenotaphrum secundatum[Walt.] Kuntze.) cultivars ‘Floratam’ and ‘Palmetto’, ‘SeaIsle 1’ seashore paspalum (Paspalum vaginatum Swartz.), ‘Empire’ zoysiagrass (Zoysia japonica Steud.), and ‘Pensacola’ bahiagrass (Paspalum notatumFlugge) were established in lysimeters in the University of Florida Envirotron greenhouse facility in Gainesville. Irrigation was applied at 100%, 80%, 60%, or 40% of evapotranspiration (ET). Weekly evaluations included: a) shoot quality, leaf rolling, leaf firing b) soil moisture, chlorophyll content index; c) photosynthesis and d) multispectral reflectance. All the measurements were correlated with MSR data. Drought stress affected the infrared spectral region more than the visible spectral region. Reflectance sensitivity to water content of leaves was higher in the infrared spectral region than in the visible spectral region. Grasses irrigated at 100% and 80% of ET had no differences in normalized difference vegetation indices (NDVI), leaf area index (LAI), and stress indices. Grasses irrigated at 60% and 40% of ET had differences in NDVI, LAI, and stress indices. All measured wavelengths except 710nm were highly correlated (P < 0.0001) with turf visual quality, leaf firing, leaf rolling, soil moisture, chlorophyll content index, and photosynthesis. MSR could detect drought stress from the turf canopy.

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      참고문헌 (Reference)

      1 Wiegand, C. L., "Vegetation indices in crop assessments" 35 : 105-119, 1991

      2 Horler, D. N. H., "The red edge of plant leaf reflectance" 4 : 273-288, 1983

      3 Lee, J. H., "Technology for irrigation scheduling for ST. Augustinegrass" 319-321, 2003

      4 SAS Institure, "SAS user’s guide: Statistics" SAS Inst., Cary, NC. 1987

      5 Carter, G. A., "Responses of leaf spectral reflectance to plant stress" 80 (80): 239-243, 1993

      6 Trenholm, L E., "Relationship of multispectral radiometry data to qualitative data in turfgrass research" 39 : 763-769, 1999

      7 Carter, G. A., "Primary and secondary effects of water content on the spectral reflectance of leaves" 78 : 916-924, 1991

      8 Knipling,E. B., "Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation" 1 : 155-159, 1970

      9 Carter, G. A., "Narrow-band reflectance imagery compared with thermal imagery for early detection of plant stress" 148 : 515-522, 1996

      10 Tucker, C. J., "Monitoring corn and soybean crop development with hand-held radiometer spectral data" 13 : 461-474, 1979

      1 Wiegand, C. L., "Vegetation indices in crop assessments" 35 : 105-119, 1991

      2 Horler, D. N. H., "The red edge of plant leaf reflectance" 4 : 273-288, 1983

      3 Lee, J. H., "Technology for irrigation scheduling for ST. Augustinegrass" 319-321, 2003

      4 SAS Institure, "SAS user’s guide: Statistics" SAS Inst., Cary, NC. 1987

      5 Carter, G. A., "Responses of leaf spectral reflectance to plant stress" 80 (80): 239-243, 1993

      6 Trenholm, L E., "Relationship of multispectral radiometry data to qualitative data in turfgrass research" 39 : 763-769, 1999

      7 Carter, G. A., "Primary and secondary effects of water content on the spectral reflectance of leaves" 78 : 916-924, 1991

      8 Knipling,E. B., "Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation" 1 : 155-159, 1970

      9 Carter, G. A., "Narrow-band reflectance imagery compared with thermal imagery for early detection of plant stress" 148 : 515-522, 1996

      10 Tucker, C. J., "Monitoring corn and soybean crop development with hand-held radiometer spectral data" 13 : 461-474, 1979

      11 Perry, C. A., "Functional equivalence of spectral vegetation indices" 14 : 169-182, 1984

      12 Lee, J. H., "Evaluating methods of predicting irrigation needs of warm-season turfgrasses" 2005

      13 Asrar, G., "Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat" 76 : 300-306, 1984

      14 Carter, G. A., "Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands" 50 : 295-302, 1994

      15 Kenna, M. P., "Detecting turf stress with remote sensing" 10 : 17-20, 1995

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      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2012-12-04 학술지명변경 한글명 : Asian Journal of Turfgrass Science -> Weed & Turfgrass Science
      외국어명 : Asian Journal of Turfgrass Science -> Weed & Turfgrass Science
      KCI등재
      2011-06-07 학술지명변경 한글명 : 한국잔디학회지 -> Asian Journal of Turfgrass Science
      외국어명 : KOREAN JOURNAL OF TURFGRASS SCIENCE -> Asian Journal of Turfgrass Science
      KCI등재
      2010-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2009-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2007-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.53 0.53 0.56
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.52 0.44 0.596 0.1
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