Journal Name:
- Anadolu Tarım Bilimleri Dergisi
Publication Year:
- 2007
Keywords (Original Language):
Author Name | University of Author | Faculty of Author |
---|---|---|
- 3
- Turkish
REFERENCES
Abdul-Jabbar, A.S, Lugg, D.G., Sammis, T.W., Gay, L.W. 1985. Relationships between crop water stress index and Alfalfa yield and evapotranspiration. Trans. ASAE. Pp:454-461.
Alderfasi, A.A., Nielsen, D.C. 2001. Use of crop water stress index for monitoring water status and scheduling irrigation in whet. Agricultural Water Management, 47:69-75.
Allen, R. G. Tasumi, M., Morse, A., Trezza, R., 2005. A Landsat-based energy balance and evapotrapiration model in Western US water rights regulation and planning. Irriggation and Drainage Sysytms, 19:251¬268.
Allen, R.G., Pereira, L.S., Raes, D., Smith, M. 1998. Crop evapotranspiration, FAO, 300, Rome.
Allen, R.G., Tasumi, M., Morse, A., Trezza, R., Kramber, W., Lorite, I. and Robison, W. 2006. Water management applications using evapotranpiration maps from satellite - based energy balance. International Symposium on Water and Land Management for Sustainable Irrigated Agriculture. Adana. Turkey.
Alves, I., Pereira, L.S. 2000. Non-water-stressed baselines for irrigation scheduling with infrared thermometers: A new approach. Irrigation Science, 19:101-106.
Aparicio, N., Viellegas, D., Royo, C., Casadesus, J., Araus, J.L. 2004. Effect of sensor view angle on the assessment of agronomic traits by ground level hyper-spectral reflectance measurements in durum wheat under contrasting Mediterranean conditions. Int. J. Remote sensing, 25(6):1131-1152.
ASCE - EWRI., 2005. The ASCE Standardized reference
evapotranspiration equation. ASCE-EWRI
Standardization of Reference Evapotranspiration Task Comm. Report. Available from URL: http://www.kimberly.uidaho.edu/water/asceewri/
Asrar,
G.
, Myneni, R.B., Li, Y., Kanemasu, E.T. 1989. Measuring and modeling spectral characteristics of tall grass prairie. Remote Sens. Environ., 27:143-155.
Bastiaanssen, W. G. M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J. F. Roerink, G. J., van der Wal, T., 1998a. A remote sensing surface energy balance algorithm for land (SEBAL) 1.Formulation. Journal of Hydrology 212-213:213-229.
Bastiaanssen, W. G. M., Pelgrum, H., Wang, J., Ma, Y., Moreno, J. F. Roerink, G. J., van der Wal, T., 1998b. A
remote sensing surface energy balance algorithm for
land (SEBAL) 2.Validation. Journal of Hydrology 212¬213:213-229.
Blad, B. L., Rosenberg, N. J. 1975. Measurement of crop temperature by leaf thermocouple, infrared thermometry and remotely sensed thermal imagery, Agronomy J.l,
65:635-641.
Boegh, E., Soegaard, H., Broge, A., Hasager, C.B., Jensne,
N.O., Schelde, K., Thomsen, A. 2002. Airborne
multispectral data for quantifying leaf area index, nitrogen concentration and photosynthetic efficiency in agriculture. Remote Sens. Environ., 81:179-193.
Bowman, W.D. 1989. The relationship between leaf water status, gas exchange, and spectral reflectance in cotton leaves. Remote Sens. Environ. 30:249-255.
Brown, K.W., Rosenberg, N.J. 1973. A resistance model to predict evapotranspiration and its application to a sugar beet field. Agronomy J., 65(3):341-347.
Carter, G. A. 1993. Responses of leaf reflectance to plant stress. American J. Botany, 80:239-243.
Carter, G. A.. 1991. Primary and secondary effects of water content on the spectral reflectance of leaves. American J. Botany, 78:916-924.
Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., Gregoire, J.M. 2001. Detecting vegetation leaf water content using reflectance in the optical domain, Remote Sens. Environ., 77:22-33.
Chenbouni, A., Nouvellon, Y, Kerr, Y.H., Moran, M.S., Watts, C., Prevot, L., Goodrich, D.C., Rembal, S. 2001. Directional effect on radiative surface temperature measurements over a semiarid grassland site. Remote Sens. Environ., 76:360-372.
Choudhury, B.J., Idso, S.B. 1984. Simulating sunflower canopy temperatures to infer root-zone soil water potential. Agricultural and Forest Meteorology, 31:69¬78.
Choudhury, B.J., Idso, S.B., Reginato, R.J. 1986 Analysis of a resistance-energy balance method for estimating daily evaporation from wheat plots using one-time-of-day infrared temperature observations. Remote Sens. Environ., 19:253-268.
Cohen, W.B. 1991. Temporal versus spatial variation in leaf reflectance under changing water stress conditions. Int. J. Remote Sens. 12:1865-1876.
Cure, W. W., Flagler, R., B., Heagle, A.S. 1989. Correlations between canopy reflectance and leaf temperature in irrigated and droughted soybeans. Remote Sens. Environ. 29:273-280.
Danson, M., Steven M. D., Malthus, T. J., Clark, J.A. 1992. High-spectral resolution data for determining leaf water content, Int. J. Remote Sensing, 13:461-470.
Ehrler, W.L., Idso, S.B., Jackson, R.D., Reginato, R.J. 1978. Diurnal changes in plant water potential and canopy temperature of wheat as affected by drought. Agronomy
J.,70:999-1009.
Fitzgerald, G.J., Hunsaker, D.J., Barnes, E.M., Clarke, T.R., Lesch, S.M., Roth, R., Pinter Jr, P.J. 2003. Estimating Cotton Crop Water Use From Multispectral Aerial Imagery. In Irrigation Associations Exposition And Technical Conference, San Diego, Ca, Nov. 18-20. PP.138-148.
Fucs, M., Tanner, C.B. 1966. Infrared thermometry of vegetation. Agronomy J., 58:597-601.
Fucs, M., Kanemasu, E.T., Kerr, J.P., Tanner, C.B. 1967. Effect of viewing angle on canopy temperature measurements with infrared thermometers. Agronomy
J., 59:494-496.
313
Sulama suyu yönetiminde uzaktan algılama tekniklerinin kullanımı
Hatfield, J.L. 1979. Canopy temperatures: The usefulness and reliability of remote measurements. Agronomy
J,71:889-892.
Hatfield, J.L., Kanemasu, E.T., Asrar, G., Jackson, R.D., Pinter, P.J., Jr., Reginato, R.J., Idso, S.B. 1985. Leaf-area estimation from spectral measurements over various planting dates of wheat. Int. J. Remote Sensing, 6(1):167-175.
Hatfield,
J.L.
, Reginato, R.J., Idso, S.B. 1984. Evaluation of canopy temperature-evapotranspiration models over various crops. Agriculural and Forest Meteorology,
32:41-53.
Hattendorf, M.J., Carlson, R.E., Halim, R.A., Buxton, D.R.
1988. Crop water stress index and yield of water-deficit-
stressed alfalfa. Agronomy Journal, 80:871-875. Howell, T.A., Hatfield, J.L., Yamada, H., Davis, K.R. 1984.
Evaluation of cotton canopy temperature to detect crop
water stress. Transact. ASAE.Pp:84-88. Howell, T.A., Musick, J.T., Tolk, J.A. 1986. Canopy
temperature of irrigated winter wheat. Transact. ASAE.
Pp:1692-1698.
Hunsaker, D. J., Pinter Jr, P.J., Kimball, B.A., 2005. Wheat
Basal Crop Coefficients Determined By Normalized Difference Vegetation Index. Irrigation Science. 24:1¬14.
Hunsaker, D.J., Pinter Jr, P.J., Fitzgerald, G.J., Clarke, T.R.,
Kimball, B.A., Barnes, E.M. 2003b. Tracking Spatial
And Temporal Cotton Dt Patterns With A Normalized Difference Vegetation Index. Irrigation Associations Exposition And Technical Conference Proceedings. Pp. 126-137.
Hunsaker, D.J., Pinter, Jr. P.J., Barnes E. M., Kimball, B.A. 2003a. Estimating cotton evapotranspiration crop coefficients with a multispectral vegetation index. Irrig.
Sci.22: 95-104.
Idso, S.B., Jackson, R.D., Pinter, P.J., Jr., Reginato, R.J.,
Hatfield, J.L. 1981. Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology, 24:45-55. Idso, S.B., Pinter, Jr., P.J., Reginato, R.J. 1990. Non-water stressed baselines: the importance of site selection for air temperature and air vapour pressure deficit measurements. Agricultural and Forest Meteorologh,
53:73-80.
Irmak, S.,
Haman
, D.Z., Bastug, R. 2000. Determination of crop water stress index for irrigation timing and yield estimation of corn. Agronomy Journal. 92:1221-1227.
Jackson, R. D., Pinter, Jr., P.J., Reginato, R.J., Idso, S.B. 1986. Detection and evaluation of plant stress for crop management decisions. IEEE Transactions on Geoscience and Remote Sensing, 24(1):99-106.
Jackson, R. D., Pinter, Jr., P.J., Reginato, R.J., Idso, S.B. 1980. Hand - held radiometry. A set of notes developed for use at the workshop on hand-held radiometry. Phoenix, Ariz., February 25 -26, 1980.
Jackson, R.D. 1984. Remote sensing of vegetation characteristics for farm management. Reprinted from SPIE Vol.475-Sixth in the SPIE Critical Reviews of Technology Series: Remote Sensing, 475:81-96.
Jackson, R.D., Hatield, J. L., Reginato, R.J., Idso, S.B., Pinter, P.J., Jr., 1983. Estimation of daily evapotranspiration from one time-of-day measurements. Agricaltural Water Management., 7:51-362.
Jackson, R.D., Idso, S.B., Reginato, R.J. 1977a. Remote sensing of crop canopy temperatures for scheduling irrigations and estimating yields. Proc.Symp. On
Remote Sensing of Natural Resources, Utah State
University. Logan. UT. Jackson, R.D., Idso, S.B., Reginato, R.J., Pinter, P.J. 1981.
Canopy temperature as a crop water stress indicator.
Water Resources Research, 17(4):1133-1138. Jackson, R.D., Reginato, R.J., Idso, S.B. 1977b. Wheat
canopy temperature: A practical tool for evaluating
water requirements, Water Resources Research,
13(3):651-656.
Kamat, D. S., Gopalan, S. K. A., Shashikumar, N. M., Sinha, K. S., Chaturvedi, S. G., Singh, K. A. 1985. Assessment of water stress effects on crops, Int J.
Remote Sensing, 6:577-589.
Kayam, Y. ve
Beyazgül
, M. 2001. Infrared termometre tekniğinin pamuk sulamasında kullanılma olanakları. Toprak ve Su Kaynakları Araştırma Yıllığı 2000. Köy Hizmetleri Genel Müdürlüğü, Toprak ve Su Kaynakları Şube Müdürlüğü, yayın No: 117. 312-326, Ankara.
Kırnak, H. ve Gencoğlan, C. 2001. Bitki su stresi indeksi (CWSI) tekniğinin ikinci ürün mısır bitkisinin sulamasında kullanımı. HR.Ü.Z.F. Dergisi. 5(3-4):67-75.
Kimura, R., Okada, S., Miura, H., Kamichika, M. 2004.
Relationships among the leaf area index, moisture availability, and spectral reflectance in an upland rice field. Agricultural Water Management, 69:83-100.
Kleman, J., Fagerlund, E. 1987. Influence of different nitrogen and irrigation treatments on the spectral reflectance of barley. Remote Sens. Environ., 21: 1-14.
Köksal, E.S., Üstün, H., İlbeyi, A., Akgül, A.
2006
. Effect of different irrigation treatments on the spectral reflectance characteristic of green bean. International Symposium on Water and Land Management for Sustainable Irrigated Agriculture. Adana. Turkey.
Kumar, P.V., Ramakrishna, Y.S., Ramana Rao, B.V., Khandgonda, I.R., Victor, U.S., Srivastava, N.N., Rao, G.G.S.N. 1999. Assessment of plant-extractable soil water in castor beans (Ricinus communis L.) using infrared thermometry. Agricultural Water Management,
39:69-83.
Kustas,
W.P.
, Daughtry, C.S.T., 1990. Estimation of the soil heat flux/net radiation ratio from spectral data. Agricultural and Forest Meteorology. 49:205-223.
Luquet, D., Begue, A., Vidal, A., Clouvel, P., Dauzat, J., Olioso, A., Gu, X.F., Tao, Y. 2003. Using multidirectional thermography to characterize water status of cotton. Remote Sens. Environ., 84:411-421.
Monteith J. L., Unsworth M. H., 1990. Principles of Environmental Physics. Second edition. 291 p.
Moran, M.S., Clarke, T.R., Inoue, Y., Vidal, A. 1994.
Estimating crop water deficit using the relation between surface - air temperature and spectral vegetation index. Remote Sens. Environ., 49:246-263. Moran, M.S., Inou, Y., Barnes, E.M. 1997. Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sens. Environ.,
61:319-346.
Moran, M.S., Pinter, P.Jr., Clothier, B.E., Allen, S.G. 1989.
Effect of water stres on the canopy architecture and spectral indices of irrigated alfalfa. Remote Sens.
Environ., 29:251-261. Moran, M.S., Rahman, A.F., Washburne, J.C., Goodrich, D.C:, Waltz, M.A., Kustas, W.P. 1996. Combining the
Penman-Monteith equation with measurements of surface temperature and reflectance to estimate evaporation rates of semiarid grassland. Agricultural and
Forest Meteorology, 80:87-109.
314
E. S.
Köksal
Nielsen, D.C. 1990. Scheduling irrigation for soybeans with the crop water stress index (CWSI). Field Crops Res.
23:103-116.
Nielsen, D.C., Anderson, R.L. 1989. Infrared thermometry to measure single leaf temperatures for quantification of water stress in sunflower. Agronomy Journal. 81:840¬842.
Nielsen, D.C., Clawson, K.L., Blad, B.L. 1983. Effect of
solar azimuth and Infrared thermometer view direction on measured soybean canopy temperature. Agronomy J,
76:607-610.
Olufayo, A., Baldy, C., Ruelle, P. 1996. Sorghum yield,
water use and canopy temperatures under different levels of irrigation. Agricultural Water Management.
30:77-90.
Orta, A.H., Erdem, T. ve Erdem, Y. 2001. İnfrared termometre tekniği ile ayçiçeğinde bitki su stresi indeksi (CWSI) ve sulama zamanının belirlenmesi. Birinci ulusal sulama kogresi bildirileri., s. 145-153, 8-11
Kasım
2001
, Antalya. Penuelas, J., Filella, I., Biel, C., Serrano, L., Save, R., 1993,
The reflectance at the 950-970 nm region as an indicator of plant water status. Int. J. Remote Sensing,
14(10):1887-1905.
Penuelas, J., Gamon, J.A., Fredeen, A.L., Merino, J., Field, C.B. 1994. Reflectance Indices Associated with physiological changes in nitrogen-and water - limited sunflower leaves. Remote Sens. Environ., 48:135-146.
Penuelas, J., Pinol, J., Ogaya, R.,, Fiella, I. 1997. Estimation of plant water concentration by the reflectance Water
Index WI (R900/R970), Int. J. Remote Sensing 18:2869¬2875.
Pinol, J., Filella, I., Ogaya, R., Penuelas, J. 1998. Ground-
based spectroradiometric estimation of live fine fuel moisture of Mediterranean plants. Agricultural and
Forest Meteorology., 90:173-186.
Pinter, P.J. JR. 1983. Monitoring the effect of water stress on the growth of alfalfa via remotely sensed observations of canopy reflectance and temperature. 18th Conference on Agriculture and Forest
Meteorology, April 26-28, 1983. Boston Pp:91-94.
Pinter, P.J. JR., Hatfield, J.L., Schepers, J.S., Barnes, E.m.,
Moran, S.M., Daughtry, C.S.T., Upchurch, D.R. 2003.
Remote sensing for crop management. Photogrammetric Engineering&Remote Sensing, 69(6):647-664. Qi, J., Huete, A.R., Moran, M.S., Chehbouni, A., Jackson, R. D. 1993. Interpretation of vegetation indices derived from Multi-temporal SPOT images. Remote Sens.
Environ., 44:89-101. Raun, W. R., Solie, J.B, Johnson, G.V., Stone, M.L.,
Lukina, E.V., Thomason, W.E., Schepers, J.S. 2001. In-Season of potential grain yield in winter wheat using canopy reflectance. Agronomy Journal., 93:131-138. Reginato, R.J. 1983. Field quantification of crop water
stress. Transac. ASAE. Pp:772-781.
Riggs, G.A., Running, S.W. 1991. Detection of canopy water stress in conifers using the airborne imaging spectrometer. Remote Sens. Environ. 35:51-68.
Sadler, E.J., Bauer, P.J., Busscher, W.J., Millen, J.A. 2000.
Site-specific analysis of a drought corn crop: II.Water use and stress. Agronomy J., 92:403-410.
Saha,
S.K.
, Gopalan, A.A.K.S., Kamat, D.S. 1986. Relation between remotely sensed canopy temperature, crop water stress, air vapour pressure deficit and evapotranspiration in chickpea. Agricultural and Forest Meteorology. 38:17-26.
Seguin, B., Courault, D., Guerif, M. 1994. Surface temperature and evapotranspiration: Application of local scale methods to regional scales using satellite data.
Remote Sens. Environ., 49:287-295. Sepaskhah, A.R., Kashefipour, S.M. 1994. Relationships between leaf water potential, CWSI, yield and fruit quality of sweet lime under drip irrigation. Agricultural Water Management. 25:13-22.
Shibayama, M., Takahashi, W., Morinaga, S., Akiyama, T., 1993. Canopy water deficit detection in paddy rice using a high resolution field spectroradiometer. Remote Sens.
Environ., 45:117-126.
Smith, R.C.G., Prathapar, S.A., Barrs, H.D. 1989. Use of thermal scanner image of water stressed crop to study soil spatial variability. Remote Sens. Environ., 29:111¬120.
Stone, L.R., Horton M.L. 1974. Estimating Evapotranspiration using canopy temperatures: Field evaluation, Agronomy J., 66:450-454.
Stricevic, R., Caki, E. 1997. Relationships between available soil water and indicators of plan water status of sweet sorghum to be applied in irrigation scheduling. Irrigation Science, 18:17-21
Tassumi, M., Trezza, R., Allen, R.G. 2005. Operational aspects of satellite-based energy balance models for irrigated crops in the semi-arid U.S. Irriggation and Drainage Sysytms, 19:355-376.
Thenkabail, P.S., Smith, R.B., Pauw, E.D. 2000.
Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sens. Environ.,71:158-182.
Thomas, J.R., Namken, L.N., Oether, G.F., Brown, R.G.
1971. Estimating leaf water content by reflectance measurements. Agronomy Journal., 63:845-847. Tucker, C.J. 1980. Remote sensing of leaf water content in the near infrared. Remote Sens. Environ., 10:23-32.
Walker, G.K., Hatfield, J.L. 1979. test of stress-degree-day concept using multiple planting dates of red kidney beans. Agronomy J.,71:967-971.
Wiegand, C.L., Namken, L.N. 1966. Influences of plant moisture stress, solar radiation, and air temperature on cotton leaf temperature. Agronomy J.,58:582-586.
Yazar,
A.
, Howell, T.A., Dusek, D.A., Copeland, S. 1999. Evaluation of crop water stress index for LEPA irrigated corn, Irrigation Science, 18:171-180.
Yuan, G., Luo, Y., Sun, X., Tang, D. 2004. Evaluation of a crop water stress index for detecting water stress in winter wheat in the North China Plain. Agricultural Water Management, 64:29-40.
Yunhao, C., Xiaobing, L., Jıng, L., Peijun, S., Wen, D. 2005. Estimation of daily evapotranspiration using a two-layer remote sensing model. Int. J. Remote Sensing, 26(8):1755-1762.