Estimating water stress in plants using hyperspectral sensing

ASAE Annual International Meeting 2004

Volumn , Issue , 2004, Pages 4075-4084

  Jones, Carol L ^a   Weckler, Paul R ^b   Maness, Niels O ^b   Stone, Marvin L ^b   Jayasekara, Roshani ^b  

^a Oklahoma State University   (United States)

^b OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

Cops; Hyperspectral; Moisture content; Plants; Reflectance; Spectral indices; Spectroradiometer; Water stress

Indexed keywords

COPS; HYPERSPECTRAL; SPECTRAL INDICES; SPECTRORADIOMETER; WATER STRESS;

IRRIGATION; MOISTURE; REFLECTION; REMOTE SENSING; WATER;

PLANTS (BOTANY);

IRRIGATION; MOISTURE; PLANTS; REFLECTANCE; REMOTE SENSING; WATER;

EID: 30044448203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Allen, S. E. 1989. Analysis of vegetation and other organic materials. In Chemical analysis of ecological materials, edited by S. E. Allen. 46-61. Oxford: Vlackwell Scientific Publications.
2. Carter, G. A. 1991. Primary and secondary effects of water concentration on the spectral reflectance of leaves. American Journal of Botany 78:916-924.
3. Chandler, C., P. Cheney, P. Thomas, L. Trabaud, and D. Williams. 1983. Fire in forestry. Forest Fire Behaviour and Effects Vol 1.
4. Danson, F. M., M. D. Steven, T. J. Malthus, and J. A. Clark. 1992. High-spectral resolution data for determining leaf water concentration. International Journal of Remote Sensing 13:461-470.
5. Hatfield, J. L., and P. J. Pinter Jr. 1993. Remote sensing for crop protection. Crop Protection 12:403-414.
6. Jackson, R. D. 1984. Remote sensing of vegetation characteristics for farm management. SPIE 475:81-96.
7. Palmer, K. F., and D. Williams. 1974. Optical properties of water in the near infrared. Journal of the Optical Society of America 64:1107-1110.
8. Penuelas, J., F. Baret, and I. Filella. 1995. Semi-empirical indices to assess carotenoids/chlorophyll a ratio from leaf spectral reflectance. Photosynthetica 31:221-230.
9. Penuelas, J., I. Filella, C. Biel, L. Serrano, and R. Save. 1993. The reflectance at the 950-970 nm region as an indicator of plant water status. International Journal of Remote Sensing 14:1887- 1905.
10. Penuelas, J., I. Filella, L. Serrano, and R. Save. 1996. Cell wall elasticity and water index (r970nm/r900nm) in wheat under different nitrogen availabilities. International Journal of Remote Sensing 17:373-382.
11. Penuelas, J., J. Pinol, R. Ogaya, and I. Filella. 1997. Estimation of plant water concentration by the reflectance water index wi (r900/r970). International Journal of Remote Sensing 18 (13):2869-2875.
12. Pierce, L. L., S. W. Running, and G. A. Riggs. 1990. Remote detection of canopy water stress in soniferous forests using the ns001 thematic mapper simulator and thermal infrared multispectral scanner. Photogrammetric Engineering and Remote Sensing 56:173-186.
13. Riggs, G. A., and S. W. Running. 1991. Detection of canopy water stress in conifers using the airborne imaging spectrometer. Remote Sensing of Environment 35:51-68.
14. Rouse, J. W., R. H. Hass, J. A. Schell, D. W. Deering, and J. C. Harlan. 1974. Monitoring the vernal advancement of retrogradation of natural vegetation. Final Report, NASA/GSFC, Greenbelt, MD.
15. SAS Institute. 1999. SAS/STAT Procedures. Release 8.02. Statistical Analysis System Institute Inc., Cary, NC.
16. Sims, D. A., and J. A. Gamon. 2003. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid water and chlorophyll absorption features. Remote Sensing of Environment 84 (2003):526-537.
17. Strachan, I. B., E. Pattey, and J. B. Boisvert. 2002. Impace of nitrogen and environmental conditions on corn as detected by hyperspectral reflectance. Remote Sensing of Environment 80 (2) :213-224.