1. Anbumozhi, V., Yamaji, E. and Tabuchi, T. (1998). Rice crop growth and yield as influenced by changes in ponding water depth, water regime and fertigation level. Agricultural Water Management 37, 241-253.
2. Aplin, P., Atkinson, P. M. and Curran, P. J. (1998). Identifying missing field boundaries to increase the accuracy of per-field classification of fine spatial resolution satellite sensor imagery. 27th International Symposium on Remote Sensing of Environment, Tromso, Norway, 399-402.
3. Atkinson, P. M. and Lewis, P. (2000). Geostatistical classification for remote sensing: an introduction. Computers and Geosciences 26, 361-371.
4. Badhwar, G. D. (1984a). Automatic corn-soybean classification using Landsat MSS data. I. Near-harvest crop proportioin estimation. Remote Sensing of Environment 14, 15-29.
5. Badhwar, G. D. (1984b). Automatic corn-soybean classification using Landsat MSS data. II. Early season crop proportioin estimation. Remote Sensing of Environment 14, 31-37.
6. Badhwar, G. D., Carnes, J. G. and Austin, W. W. (1982). Use of Landsat-derived temporal profiles for corn-soybean feature extraction and classification. Remote Sensing of Environment 12, 57-79.
7. Badhwar, G. D. and Henderson, K. E. (1985). Application of Thematic Mapper data to corn and soybean development stage estimation. Remote Sensing of Environment 17, 197-201.
8. Bailey, J. S., Wang, K., Jordan, C. and Higgins, A. (2001). Use of precision agriculture technology to investigate spatial variability in nitrogen yields in cut grassland. Chemosphere 42, 131-140.
9. Barbosa, P. M., Casterad, M. A. and Herrero, J. (1996). Performance of several Landsat 5 Thematic Mapper (TM) image classification methods for crop extent estimates in an irrigation district. International Journal of Remote Sensing 17, 3665-3674.
10. Baret, F. and Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment 35, 161-173.
11. Barrs, H. D. and Prathapar, S. A. (1994). An inexpensive and effective basis for monitoring rice areas using GIS and remote sensing. Australian Journal of Experimental Agriculture 34, 1079-1083.
12. Barrs, H. D. and Prathapar, S. A. (1996). Use of satellite remote sensing to estimate summer crop areas in the Coleambally Irrigation Area, NSW. CSIRO, Division of Water Resources Consultancy Report 96/17, pp. 35.
13. Bechini, L., Ducco, G., Donatelli, M. and Stein, A. (2000). Modelling, interpolation and stochastic simulation in space and time of global solar radiation. Agriculture, Ecosystems and Environment 81, 29-42.
14. Benedetti, R. and Rossini, S. (1993). On the use of NDVI profiles as a tool for agricultural statistics: the case study of wheat yield estimate and forecast in Emilia Romagna. Remote Sensing of Environment 45, 311-326.
15. Bosma, W. J. P., Marinussen, M. P. J. C. and van der Zee, S. E. A. T. M. (1994). Simulation and areal interpolation of reactive solute transport. Geoderma 62, 217-231.
16. Brennan, J. P., Lewin, L. G., Marshall, G. R. and Reinke, R. F. (1994). An economic assessment of rice breeding in New South Wales. Australian Journal of Experimental Agriculture 34, 889-896.
17. Brennan, J. P., Singh, I. P. and Lewin, L. G. (1997). Identifying international rice research spillovers in New South Wales. Agricultural Economics 17, 35-44.
18. Burgess, W. and Pairman, D. (1997). Bidirectional reflectance effects in NOAA AVHRR data. International Journal of Remote Sensing 18, 2815-2825.
19. Campbell, J. B. (1981). Spatial correlation effects upon accuracy of supervised classification of land cover. Photogrammetric Engineering and Remote Sensing 47, 355-363.
20. Cao, Z. H. and Hu, Z. Y. (2000). Copper contamination in paddy soils irrigated with wastewater. Chemosphere 41, 3-6.
21. Carlson, T. N., Gillies, R. R. and Perry, E. M. (1994). A method to make use of thermal infrared temperatures and NDVI measurements to infer soil water content and fractional vegetation cover. Remote Sensing Reviews 9, 161-173.
22. Carlson, T. N., Perry, E. M. and Schmugge, T. J. (1990). Remote Estimation of Soil Moisture Availability and Fractional Vegetation Cover for Agricultural Fields. Agricultural and Forest Meteorology 52, 45-69.
23. Casanova, D., Epema, G.F. and Goudriaan, J. (1998). Monitoring rice reflectance at field level for estimating biomass and LAI. Field Crops Research 55, 8392.
24. Chavez, P. S. (1988). An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24, 459-479.
25. Choudhury, B. J. and DiGirolamo, N. E. (1995). Quantifying the effect of emissivity on the relation between AVHRR split window temperature difference and atmospheric precipitable water over land surface. Remote Sensing of Environment 54, 313-323.
26. Christen, E. W. and Skehan, D. (1999). Design and management of subsurface drainage for improved water quality: a field investigation. CSIRO Land and Water Technical Report 6/99, pp. 65.
27. Congalton, R. G. (1991). A Review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37, 35-46.
28. Cook, S. E. and Bramley, R. G. V. (1998). Precision agriculture - opportunities, benefits and pitfalls of site-specific crop management in Australia. Australian Journal of Experimental Agriculture 38, 753-763.
29. Cook, S. E., Corner, R. J., Groves, P. R. and Grealish, G. J. (1996). Use of airborne gamma radiometric data for soil mapping. Australian Journal of Soil Research 34, 183-194.
30. Curran, P. J., Dungan, J. L. and Gholz, H. L. (1992). Seasonal LAI in Slash Pine Estimated with Landsat TM. Remote Sensing of Environment 39, 3-13.
31. Deering, D. W. (1989). Field measurements of bidirectional reflectance: In Theory and Application of Optical Remote Sensing (Ed, Asrar, G.) John Wiley and Sons, New York, pp. 14-65.
32. Doorenbos, J. and Pruitt, W. O. (1977). Guidelines for predicting crop water requirements: In FAO Irrigation and Drainage Paper, Vol. No. 24 Rome, pp. 34.
33. Dunin, F. X. (1991). Extrapolation of 'point' measurements of evaporation: some issues of scale. Vegetatio 91, 39-47.
34. Dwivedi, R. S. (1992). Monitoring and the study of the effects of image scale on delineation of salt-affected soils in the Indo-Gangetic plains. International Journal of Remote Sensing 13, 1527-1536.
35. Ennaffah, B., Bouslim, F., Benkirane, R., Ouazzani Touhami, A. and Douira, A. (1997). Helminthosporium spiciferum, foliar parasite of rice in Morocco. Agronomie 17, 299-300.
36. Erskine, W. D., Turner, L. M., Terrazzolo, N. and Warner, R. F. (1999). Recovery of the Snowy River: politics and river rehabilitation. Australian Geographical Studies 37, 330-336.
37. Eymard, L. and Taconet, O. (1995). The methods for inferring surface fluxes from satellite data, and their use for atmosphere model validation. International Journal of Remote Sensing 16, 1907-1930.
38. Fang, H. L., Wu, B. F., Liu, H. Y. and Huang, X. (1998). Using NOAA AVHRR and Landsat TM to estimate rice area year-by-year. International Journal of Remote Sensing 19, 521525.
39. Fischer, A., Kergoat, L. and Dedieu, G. (1997). Coupling satellite data with vegetation functional models: review of different approaches and perspective suggested by the assimilation strategy. Remote Sensing Reviews 15, 283-303.
40. Fischer, A., Louahala, S., Maisongrande, P., Kergoat, L. and Dedieu, G. (1996). Satellite data for monitoring, understanding and modelling of ecosystem functioning: In Global Change and Terrestrial Ecosystems (Eds, Walker, B. and Steffen, W.) Cambridge University Press, Cambridge, pp. 566-591.
41. Flerchinger, G. N., Kustas, W. P. and Weltz, M. A. (1998). Simulating surface energy fluxes from radiometric surface temperatures for two arid vegetation communities using the SHAW model. Journal of Applied Meteorology 37, 449-460.
42. Fox Strand, J. (2000). Some agrometeorological aspects of pest and disease management for the 21st century. Agricultural and Forest Meteorology 103, 73-82.
43. French, R. J. and Schultz, J. E. (1984a). Water use efficiency of wheat in a Mediterranean-type environment. I. The relation between yield, water use and climate. Australian Journal of Agricultural Research 35, 743-64.
44. French, R. J. and Schultz, J. E. (1984b). Water use efficiency of wheat in a Mediterranean-type environment. II. Some limitations to efficiency. Australian Journal of Agricultural Research 35, 765-775.
45. Frere, M. and Popov, G. F. (1979). Agrometeorological crop monitoring and forecasting. FAO FAO Plant Production and Protection Paper 17, pp. 64.
46. Gale, S. J. (1999). The Snowy Water Inquiry: food, power, politics and the environment. Australian Geographical Studies 37, 301-313.
47. Gandah, M., Stein, A., Brouwer, J. and Bouma, J. (2000). Dynamics of spatial variability of millet growth and yields at three sites in Niger, West Africa and implications for precision agriculture research. Agricultural Systems 63, 123-140.
48. Gausman, H. W. (1974). Leaf reflectance of near-infrared. Photogrammetric Engineering and Remote Sensing 40, 183-191.
49. Gillies, R. R., Carlson, T. N., Cui, J., Kustas, W. P. and Humes, K. S. (1997). A verification of the `triangle' method for obtaining surface soil water content and energy fluxes from the remote measurements of the Normalized Difference Vegetation Index (NDVI) and surface radiant temperature. International Journal of Remote Sensing 18, 3145-3166.
50. Gillies, R. R. and Carslon, T. N. (1995). Thermal remote sensing of surface soil water content with partial vegetation cover for incorporating into climate models. Journal of Applied Meteorology 34, 745-756.
51. Gong, P., Ledrew, E. F. and Miller, J. R. (1992). Registration-noise reduction in difference images for change detection. International Journal of Remote Sensing 13, 773-779.
52. Harrison, B. A. and Jupp, D. L. B. (1989) Introduction to remotely sensed data, CSIRO Publications.
53. Harrison, B. A., Jupp, D. L. B., Ibrahim, A. A. and Angus, J. F. (1984). The use of Landsat data for monitoring growth of irrigated crops. Third Australasian Remote Sensing Conference, Queensland, 36-43.
54. Heuvelink, G. B. M. and Pebesma, E. J. (1999). Spatial aggregation and soil process modelling. Geoderma 89, 47-65.
55. Hoare, C. P. (1999). Murrumbidgee Irrigation Limited. Australian Geographical Studies 37, 322-324.
56. Hobbs, T. J. (1997). Atmospheric correction of NOAA-11 NDVI data in the arid rangelands of Central Australia. International Journal of Remote Sensing 18, 1051-1058.
57. Honghui, L., Xiaohuan, Y. and Naibin, W. (1999). Remote sensing based estimation system for winter wheat yield in North China Plain. Chinese Geographical Journal 9, 40-48.
58. Hope, A. S. (1988). Estimation of wheat canopy resistance using combined remotely sensed spectral reflectance and thermal observations. Remote Sensing of Environment 24, 369-383.
59. Huete, A. R. (1987). Soil and sun angle interactions on partial canopy spectra. International Journal of Remote Sensing 8, 1307-1317.
60. Huete, A. R. (1988). A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment 25, 295-309.
61. Huete, A. R. and Escadafal, R. (1991). Assessment of biophysical soil properties through spectral decomposition techniques. Remote Sensing of Environment 35, 149-159.
62. Huete, A. R., Hua, G., Qi, J., Chehbouni, A. and Leeuwen, W. J. D. v. (1992). Normalization of multidirectional red and NIR reflectances with the SAVI. Remote Sensing of Environment 41, 143-154.
63. Huete, A. R. and Jackson, R. D. (1987). Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands. Remote Sensing of Environment 23, 213-232.
64. Huete, A. R., Jackson, R. D. and Post, D. F. (1985). Spectral response of a plant canopy with different soil backgrounds. Remote Sensing of Environment 17, 37-53.
65. Huete, A. R. and Warrick, A. W. (1990). Assessment of vegetation and soil water regimes in partial canopies with optical remotely sensed data. Remote Sensing of Environment 32, 115-167.
66. Hume, I. H., Beecher, H. G. and Dunn, B. W. (1999). EM to estimate groundwater recharge from rice growing. Rural Industries Research and Development Corporation RIRDC RIRDC-98, pp. 37.
67. Humphreys, E., Meyer, W. S., Prathapar, S. A. and Smith, D. J. (1994a). Estimation of evapotranspiration from rice in southern New South Wales: a review. Australian Journal of Experimental Agriculture 34, 1069-1078.
68. Humphreys, L., Van Der Lely, A., Muirhead, W. and Hoey, D. (1994b). The development of on-farm restrictions to minimise recharge from rice in New South Wales. Australian Journal of Soil and Water Conservation 7, 11-20.
69. Hunsaker, D. J., Kimball, B. A., Pinter, P. J. J., Wall, G. W., LaMorte, R. L., Adamsen, F. J., Leavitt, S. W., Thompson, T. L., Matthias, A. D. and Brooks, T. J. (2000). CO2 enrichment and soil nitrogen effects on wheat evapotranspiration and water use efficiency. Agricultural and Forest Meteorology 104, 85-105.
70. Idso, S. B., Jackson, R. D., Pinter Jr., P. J., Reginato, R. J. and Hatfield, J. L. (1981). Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology 24, 45-55.
71. Inoue, Y., Moran, M. S. and Horie, T. (1998). Analysis of spectral measurements in paddy field for predicting rice growth and yield based on a simple crop simulation model. Plant Production Science 1, 269-279.
72. Islam, Z. and Karim, A. N. M. R. (1997). Whiteheads associated with stem borer infestation in modern rice varieties: an attempt to resolve the dilemma of yield losses. Crop Protection 16, 303-311.
73. Jackson, R. D. (1982). Soil moisture inferences from thermal infra-red measurements of vegetation temperatures. IEEE Transactions on Geoscience and Remote Sensing 20, 282-286.
74. Jackson, R. D., Hatfield, J. L., Reginato, R. J., Idso, S. B. and Pinter Jr., P. J. (1983). Estimation of daily evapotranspiration from one time-of-day measurements. Agricultural Water Management 7, 351-362.
75. Jackson, R. D., Idso, S. B., Reginato, R. J. and Pinter Jr., P. J. (1981). Canopy temperature as a crop water stress indicator. Water Resources Research 17, 1133-1138.
76. Jensen, J. R. (1986) Introductory digital image processing: A remote sensing perspective, Prentice-Hall, Englewood Cliffs.
77. Karimi, M. M. and Siddique, K. H. M. (1992). The relationship between grain and yield of spring wheat and rainfall distribution in Western Australia using regression models. Iran Agricultural Research 11, 1-23.
78. Kaufman, Y. J. and Tanre, D. (1992). Atmospherically resistant vegetation index (ARVI) for EOS-MODIS. IEEE Transactions on Geoscience and Remote Sensing 30, 261-270.
79. Khush, G. S. (1987). Rice breeding: Past, present and future. Journal of Genetics 66, 195-216.
80. Kimes, D. S. (1983). Dynamics of directional reflectance factor distributions for vegetation canopies. Applied Optics 22, 1364-1372.
81. Kirk, J. A., Miles, M. W. and Ralph, R. L. (1999). Monitoring and assessment of change in irrigation districts. Final report for the development of a GIS for Riverland Irrigation Districts. Information and Data Analysis Branch, Planning SA, Department for Transport, Urban Planning and the Arts and the Central Irrigation Trust Final Report pp. 289.
82. Knipling, E. B. (1970). Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation. Remote Sensing of Environment 1, 155-159.
83. Kurosu, T., Fujita, M. and Chiba, K. (1997). The identification of rice fields using multi-temporal ERS-1 C band SAR data. International Journal of Remote Sensing 18, 2953-2965.
84. Kustas, W. P., Choudhury, B. J., Moran, M. S., Reginato, R. J., Jackson, R. D., Gay, L. W. and Weaver, H. L. (1989). Determination of sensible heat flux over sparse canopy using thermal infrared data. Agricultural and Forest Meteorology 44, 197-216.
85. Kustas, W. P., Moran, M. S., Jackson, R. D., Gay, L. W., Duell, L. F. W., Kunkel, K. E. and Matthias, A. D. (1990). Instantaneous and daily values of the surface energy balance over agricultural fields using remote sensing and a reference field in an arid environment. Remote Sensing of Environment 32, 125-141.
86. Kustas, W. P. and Norman, J. M. (1996). Use of remote sensing for evapotranspiration monitoring over land. Hydrological Sciences Journal des Sciences Hydrologiques 41, 495-516.
87. Lamb, D. W. (2000). The use of qualitative airborne multispectral imaging for managing agricultural crops - a case study in south-eastern Australia. Australian Journal of Experimental Agriculture 40, 725-738.
88. Lamb, D. W., Weedon, M. M. and Rew, L. J. (1999). Evaluating the accuracy of mapping weeds in seedling crops using airborne digital imaging: Avena spp. in seedling triticale. Weed Research 39, 481-492.
89. Langran, G. (1992) Time in geographic information systems, Taylor and Francis, London.
90. Le Hegarat-Mascle, S., Quesney, A. and Vidal-Madjar, D. (2000). Land cover discrimination from multitemporal ERS images and multispectral Landsat images: a study case in an agricultural area in France. International Journal of Remote Sensing 21, 435-456.
91. Le Toan, T., Ribbes, F., Wang, L., Floury, N., Ding, K., Kong, J. A., Fujita, M. and Kurosu, T. (1997). Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results. IEEE Transactions on Geoscience and Remote Sensing 35, 41-56.
92. Lelong, C. C. D., Pinet, P. C. and Poilve, H. (1998). Hyperspectral imaging and stress mapping in agriculture: A case study on wheat in Beauce (France). Remote Sensing of Environment 66, 179-191.
93. Leprieur, C., Kerr, Y. H. and Pichon, J. M. (1996). Critical assessment of vegetation indices from AVHRR in a semi-arid environment. International Journal of Remote Sensing 17, 2549-2563.
94. Li, Y., Demetriades-Shah, T. H., Kanemasu, E. T., Shultis, J. K. and Kirkham, M. B. (1993). Use of second derivatives of canopy reflectance for monitoring prairie vegetation over different soil backgrounds. Remote Sensing of Environment 44, 81-87.
95. Loaiciga, H. A., Valdes, J. B., Vogel, R., Garvey, J. and Schwarz, H. (1996). Global warming and the hydrologic cycle. Journal of Hydrology 174, 83-127.
96. Lund, H. G. and Iremonger, S. (2000). Omissions, commissions, and decisions: the need for integrated resource assessments. Forest Ecology and Management 128, 3-10.
97. Luo, Y., Teng, P. S., Fabellar, N. G. and TeBeest, D. O. (1998). Risk analysis of yield losses caused by rice leaf blast associated with temperature changes above and below for five Asian countries. Agriculture, Ecosystems and Environment 68, 197-205.
98. Maas, S. J. (1988). Use of remotely-sensed information in agricultural crop growth models. Ecological Modelling 41, 247-268.
99. Maas, S. J. (2000). Linear mixture modeling approach for estimating cotton canopy ground cover using satellite multispectral imagery. Remote Sensing of Environment 72, 304-308.
100. Martin, R. D. J. and Heilman, J. L. (1986). Spectral reflectance patterns of flooded rice. Photogrammetric Engineering and Remote Sensing 52, 1885-1890.
101. Maselli, F., Conese, C., Petkov, L. and Gilabert, M. (1992). Use of NOAA-AVHRR NDVI data for environmental monitoring and crop forecasting in the Sahel. Preliminary Results. International Journal of Remote Sensing 13, 2743-2749.
102. McCloy, K. R., Smith, F. R. and Robinson, M. R. (1987). Monitoring rice areas using Landsat MSS data. International Journal of Remote Sensing 8, 741-749.
103. McVicar, T. R. and Jupp, D. L. B. (1998). The current and potential operational uses of remote sensing to aid decisions on Drought Exceptional Circumstances in Australia: A Review. Agricultural Systems 57, 399- 468.
104. McVicar, T. R. and Jupp, D. L. B. (1999a). Estimating one-time-of-day meteorological data from standard daily data as inputs to thermal remote sensing based energy balance models. Agricultural and Forest Meteorology 96, 219-238.
105. McVicar, T. R. and Jupp, D. L. B. (1999b). Using AVHRR data and meteorological surfaces to spatially interpolate moisture availability in the Murray-Darling Basin. CSIRO Land and Water Technical Report 50/99 pp. 45.
106. McVicar, T. R. and Jupp, D. L. B. (2000). Using covariates to spatially interpolate moisture availability in the Murray-Darling Basin: a novel use of remotely sensed data. Remote Sensing of Environment (In Print), .
107. McVicar, T. R., Jupp, D. L. B., Reece, P. H. and Williams, N. A. (1996a). Relating LANDSAT TM vegetation indices to in situ leaf area index measurements. CSIRO, Division of Water Resources Technical Memorandum 96.14, pp. 80.
108. McVicar, T. R., Jupp, D. L. B. and Williams, N. A. (1996b). Relating AVHRR vegetation indices to LANDSAT TM leaf area index estimates. CSIRO, Division of Water Resources Technical Memorandum 96.15, pp. 33.
109. McVicar, T. R., Walker, J., Jupp, D. L. B., Pierce, L. L., Byrne, G. T. and Dallwitz, R. (1996c). Relating AVHRR vegetation indices to in situ leaf area index. CSIRO, Division of Water Resources Technical Memorandum 96.5, pp. 54.
110. McVicar, T. R., Zhang, G., Bradford, A. S., Wang, H., Dawes, W. R., Zhang, L. and Lingtao, L. (2000). Developing a spatial information system to monitor regional agricultural water use efficiency for Hebei Province on the North China Plain. CSIRO Land and Water Technical Report 31/00 pp. 55.
111. Medhavy, T. T., Sharma, T., Dubey, R. P., Hooda, R. S., Mothikumar, K. E., Yadav, M., Manchanda, M. L., Ruhal, D. S., Khera, A. P. and Jarwal, S. D. (1993). Crop classification accuracy as influenced by training strategy, data transformation and spatial resolution of data. Journal of the Indian Society of Remote Sensing 21, 21-28.
112. Mitasova, H., Mitas, L., Brown, W. M., Gerdes, D. P., Kosinovsky, I. and Baker, T. (1995). Modelling spatially and temporally distributed phenomena: new methods and tools for GRASS GIS. International Journal of Geographic Information Science 9, 433-446.
113. Monteith, J. L. and Unsworth, M. H. (1990) Principles of Environmental Physics, Edward Arnold, London.
114. Moody, A. (1997). Using landscape spatial relationships to improve estimates of land-cover area from coarse resolution remote sensing. Remote Sensing of Environment 64, 202-220.
115. Moran, M. S., Clarke, T. R., Inoue, Y. and Vidal, A. (1994). Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index. Remote Sensing of Environment 49, 246-263.
116. Moran, M. S., Inoue, Y. and Barnes, E. M. (1997). Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sensing of Environment 61, 319-346.
117. Moran, M. S., Rahman, A. F., Washburne, J. C., Goodrich, D. C., Weltz, M. A. and 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.
118. Murthy, C. S., Thiruvengadachari, S., Raju, P. V. and Jonna, S. (1996). Improved ground sampling and crop yield estimation using satellite data. International Journal of Remote Sensing 17, 945-956.
119. Nemani, R. R., Pierce, L. L., Running, S. W. and Goward, S. N. (1993). Developing satellite derived estimates of surface moisture status. Journal of Applied Meteorology 32, 548-557.
120. Nemani, R. R. and Running, S. W. (1989a). Estimation of regional surface resistance to evapotranspiration from NDVI and thermal-IR AVHRR data. Journal of Applied Meteorology 28, 276-284.
121. Nemani, R. R. and Running, S. W. (1989b). Testing a theoretical climate-soil-leaf area hydrologic equilibrium of forests using satellite data and ecosystem simulation. Agricultural and Forest Meteorology 44, 245-260.
122. Okamoto, K. and Kawashima, H. (1999). Estimation of rice -planted area in the tropical zone using a combination of optical and microwave satellite sensor data. International Journal of Remote Sensing 20, 1045-1048.
123. Panigrahy, S., Chakraborty, M., Sharma, S. A., Kundu, N., Ghose, S. C. and Pal, M. (1997). Early estimation of rice area using temporal ERS-1 synthetic aperture radar data-a case study for the Howrah and Hughly districts of West Bengal, India. International Journal of Remote Sensing 18, 1827-1833.
124. Panigrahy, S., Manjunath, K. R., Chakraborty, M., Kundu, N. and S.Parihar, J. (1999). Evaluation of RADARSAT standard beam data for identification of potato and ice crops in India. ISPRS Journal of Photogrammetry and Remote Sensing 54, 254262.
125. Patel, N. K., Ravi, N., Navalgund, R. R., Dash, R. N., Das, K. C. and Patnaik, S. (1991). Estimation of rice yield using IRS-1A digital data in coastal tract of Orissa. International Journal of Remote Sensing 12, 2259-2266.
126. Pax-Lenney, M. and Woodcock, C. E. (1997a). The effect of spatial resolution on the ability to monitor the status of agricultural lands. Remote Sensing of Environment 61, 210-220.
127. Pax-Lenney, M. and Woodcock, C. E. (1997b). Monitoring agricultural lands in Egypt with multitemporal Landsat TM imagery: how many images are needed? Remote Sensing of Environment 59, 522-529.
128. Pereira, L. S. (1999). Higher performance through combined improvements in irrigation methods and scheduling: a discussion. Agricultural Water Management 40, 153-169.
129. Perry, C. R., Jr. and Lautenschlager, L. F. (1984). Functional equivalence of spectral vegetation indices. Remote Sensing of Environment 14, 169-182.
130. Peuquet, D. J. (1994). It's about time: A conceptual framework for the representation of spatiotemporal dynamics in geographic information systems. Annals of the Association of American Geographers 84, 441-461.
131. Peuquet, D. J. (1995). An event-based spatiotemporal data model (ESTDM) for temporal analysis of geographical data. International Journal of Geographic Information Science 9, 7-24.
132. Pinter Jr., P. J., Jackson, R. D., Idso, S. B. and Reginato, R. J. (1981). Multidate spectral reflectance as predictors of yield in water stressed wheat and barley. International Journal of Remote Sensing 2, 43-48.
133. Prata, A. J., Caselles, V., Coll, C., Ottle, C. and Sobrino, J. (1995). Thermal remote sensing of land surface temperature from satellites: Current status and future prospects. Remote Sensing Reviews 12, 175-224.
134. Price, J. C. (1990). Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE Transactions on Geoscience and Remote Sensing 28, 940-948.
135. Qi, J., Huete, A. R., Moran, M. S., Chehbouni, A. and Jackson, R. D. (1993). Interpretation of vegetation indices derived from multi-temporal SPOT images. Remote Sensing of Environment 44, 89-101.
136. Quarmby, N., Milnes, M., Hindle, T. and Silleos, N. (1993a). The use of multi-temporal NDVI measurements from AVHRR data for crop yield estimation and prediction. International Journal of Remote Sensing 14, 199-210.
137. Quarmby, N. A., Milnes, M., Hindle, T. L. and Silleos, N. (1993b). The use of multi-temporal NDVI measurements from AVHRR data for crop yield estimation and prediction. International Journal of Remote Sensing 14, 199-210.
138. Quarmby, N. A., Townshend, J. R. G., Settle, J. J., White, K. H., Milnes, M., Hindle, T. L. and Silleos, N. (1992). Linear mixture modelling applied to AVHRR data for crop area estimation. International Journal of Remote Sensing 13, 415-425.
139. Rao, B. R. M., Ravi Sankar, T., Dwivedi, R. S., Thammappa, S. S. and Venkataratnam, L. (1995). Spectral behaviour of salt-affected soils. International Journal of Remote Sensing 16, 2125-2136.
140. Rasmussen, M. S. (1992). Assessment of millet yields and production in northern Burkina Faso using integrated NDVI from AVHRR. International Journal of Remote Sensing 13, 3431-3442.
141. Rasmussen, M. S. (1997). Operational yield forecast using AVHRR NDVI data: reduction of environmental and inter-annual variability. International Journal of Remote Sensing 18, 1059-1077.
142. Rasmussen, M. S. (1998a). Developing simple, operational, consistent NDVI-vegetation models by applying environmental and climatic information: Part I: Assessment of net primary productivity. International Journal of Remote Sensing 19, 97-117.
143. Rasmussen, M. S. (1998b). Developing simple, operational, consistent NDVI-vegetation models by applying environmental and climatic information: Part II: Crop yield assessment. International Journal of Remote Sensing 19, 119-139.
144. Raupach, M. R., Finkele, K. and Zhang, L. (1997). SCAM: A soil-canopy-atmosphere model: description and comparisons with field data. CSIRO Centre for Environmental Mechanics Technical Report 132, pp. 81.
145. Reinke, R. F., Lewin, L. G. and Williams, R. L. (1994). Effect of sowing time and nitrogen on rice cultivars of differing growth duration in New South Wales 1. Yield and yield components. Australian Journal of Experimental Agriculture 34, 933-938.
146. Ribbes, F. and Toan, T. l. (1999). Rice field mapping and monitoring with RADARSAT data. International Journal of Remote Sensing 20, 745-765.
147. Richards, J. A. (1996). Classifier performance and map accuracy. Remote Sensing of Environment 57, 161-166.
148. Richardson, A. J. and Wiegland, C. L. (1977). Distinguishing vegetation from soil background information. Photogrammetric Engineering and Remote Sensing 43, 1541-1552.
149. Ritchie, J. T. (1983). Efficient water use in crop production: generality of relations between biomass production and evapotranspiration: In Limitations to Efficient Water Use in Crop Production (Eds, Taylor, H. M., Jordan, W. R. and Sinclair, T. R.) American Society of Agronomy, Madison, pp. 29-44.
150. Rosenthal, W. D., Hammer, G. L. and Butler, D. (1998). Predicting regional grain sorghum production in Australia using spatial data and crop simulation modelling. Agricultural and Forest Meteorology 91, 263-274.
151. Savary, S., Srivastava, R. K., Singh, H. M. and Elazegui, F. A. (1997). A characterisation of rice pests and quantification of yield losses in the rice-wheat system of India. Crop Protection 16, 387-398.
152. Schuepp, P. H., Desjardins, R. L., Macpherson, J. I., Boisvert, J. and Austin, L. B. (1987). Airborne determination of regional water use efficiency and evapotranspiration: present capabilities and initial field tests. Agricultural and Forest Meteorology 41, 1-19.
153. Seaton, P. L. (1999). Sins of the fathers, opportune for the sons. Australian Geographical Studies 37, 328-329.
154. Seddon, G. S. (1999). Saving the throwaway river. Australian Geographical Studies 37, 314-321.
155. Sellers, P. J. (1985). Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing 6, 1335-1372.
156. Sellers, P. J. (1987). Canopy reflectance, photosynthesis and transpiration. II. The role of biophysics in the linearity of their interdependence. Remote Sensing of Environment 21, 143-183.
157. Senanayake, N., Naylor, R. E. L., De Datta, S. K. and Thomson, W. J. (1994). Variation in development of contrasting rice cultivars. Journal of Agricultural Science, Cambridge 123, 35-39.
158. Sharma, R. C. and Bhargava, G. P. (1988). Landsat imagery for mapping saline soils and wet lands in north-west India. International Journal of Remote Sensing 9, 39-44.
159. Sinclair, T. R., Tanner, C. B. and Bennett, J. M. (1984). Water-use efficiency in crop production. BioScience 34, 36-40.
160. Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing 10, 989-1003.
161. Slater, P. N. and Jackson, R. D. (1982). Atmospheric effects on radiation reflected from soil and vegetation as measured by orbital sensors using various scanning directions. Applied Optics 21, 3923- 3931.
162. Smith, M., Allen, R., Monteith, J. L., Perrier, A., Santos Pereira, L. and Segeren, A. (1991). Expert consultation on procedures for revision of FAO guidelines for prediction of crop water requirements. FAO Land and Water Development Division pp. 54.
163. Smith, R. C. G., Adams, J., Stephens, D. J. and Hick, P. T. (1995). Forecasting Wheat Yield in a Mediterranean-type environment from the NOAA Satellite. Australian Journal of Agricultural Research 46, 113-125.
164. So, H. B. and Ringrose-Voase, A. J. (2000). Management of clay soils for rainfed lowland rice-based cropping systems: an overview. Soil and Tillage Research 56, 3-14.
165. Stanhill, G. (1986). Water use efficiency. Advances in Agronomy 39, 53-85.
166. Stein, A., Staritsky, I. G., Bouma, J., Van Eijsbergen, A. C. and Bgegt, A. K. (1991). Simulation of moisture deficits and areal interpolation by universal cokriging. Water Resources Research 27, 1963-1973.
167. Story, M. and Congalton, R. G. (1986). Accuracy assessment: A user's perspective. Photogrammetric Engineering and Remote Sensing 52, 397-399.
168. Stuckens, J., Coppin, P. R. and Bauer, M. E. (2000). Integrating contextual information with per-pixel classification for improved land cover classification. Remote Sensing of Environment 71, 282-296.
169. Tanner, C. B. and Sinclair, T. R. (1983). Efficient water use in crop production: research or re-search ?: In Limitations to Efficient Water Use in Crop Production (Eds, Taylor, H. M., Jordan, W. R. and Sinclair, T. R.) American Society of Agronomy, Madison, pp. 1-28.
170. Tennakoon, S. B., Murty, V. N. and Eiumnoh, A. (1992). Estimation of cropped area and grain yield of rice using remote sensing. International Journal of Remote Sensing 13, 427-439.
171. Thenkabail, P. S., Smith, R. B. and De Pauw, E. (2000). Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. Remote Sensing of Environment 71, 158-182.
172. Thenkabail, P. S., Ward, A. D. and Lyon, J. G. (1994a). Landsat-5 Thematic Mapper models of soybean and corn crop characteristics. International Journal of Remote Sensing 15, 49-61.
173. Thenkabail, P. S., Ward, A. D., Lyon, J. G. and Merry, C. J. (1994b). Thematic Mapper vegetation indices for determining soybean and corn growth parameters. Photogrammetric Engineering and Remote Sensing 60, 437-442.
174. Tian, G. L. (1989). Spectral signatures and vegetation indices of crops. CSIRO Division of Water Resources Divisional Report 89/4, pp. 42.
175. Tolk, J. A., Howell, T. A. and Evett, S. R. (1999). Effect of mulch, irrigation, and soil type on water use and yield of maize. Soil and Tillage Research 50, 137-147.
176. Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8, 127-150.
177. Tucker, C. J., Elgin, J. H., McMurtrey, J. E. and Fan, C. J. (1979). Monitoring corn and soybean crop development with hand-held radiometer spectral data. Remote Sensing of Environment 8, 237-248.
178. Tuong, T. P. and Bhuiyan, S. I. (1999). Increasing water-use efficiency in rice production: farm-level perspectives. Agricultural Water Management 40, 117-122.
179. Turner, N. C. (1986). Crop water deficits: a decade of progress. Advances in Agronomy 39, 1-51.
180. Turner, N. C. (1997). Further progress in crop water relations. Advances in Agronomy 58, 293-338.
181. van Leeuwen, W. J. D., Huete, A. R., Walthail, C. L., Prince, S. D., Begue, A. and Roujean, J. L. (1997). Deconvolution of remotely sensed spectral mixtures for retrieval of LAI, fAPAR and soil brightness. Journal of Hydrology 188-189, 697-724.
182. Van Niel, T. G. and McVicar, T. R. (2000). Assessing and improving positional accuracy and its effects on areal estimation at Coleambally Irrigation Area. Cooperative Research Centre for Sustainable Rice Production Technical Report 101/00, pp. 101.
183. Viscarra Rossel, R. A. and McBratney, A. B. (1998). Soil chemical analytical accuracy and costs: implications from precision agriculture. Australian Journal of Experimental Agriculture 38, 765-775.
184. Watson, A. S. (1999). Murray Irrigation Limited. Australian Geographical Studies 37, 325-327.
185. Wiegand, C., Anderson, G., Lingle, S. and Escobar, D. (1996). Soil salinity effects on crop growth and yield - illustration of an analysis and mapping methodology for sugarcane. Journal of Plant Physiology 148, 418-424.
186. Woodcock, C. E. and Strahler, A. H. (1987). The factor of scale in remote sensing. Remote Sensing of Environment 21, 311-332.
187. Yang, X., Zhou, Q. and Melville, M. (1997). Estimating local sugarcane evapotranspiration using LANDSAT TM image and a VITT concept. International Journal of Remote Sensing 18, 453-459.
188. Yu-liang, Q. (1996). An application of aerial remote sensing to monitor salinization at Xinding Basin. Advances in Space Research 18, 133-139.
189. Zhang, L., Lemeur, R. and Goutorbe, J. P. (1995). A one-layer resistance model for estimating regional evapotranspiration using remote sensing data. Agricultural and Forest Meteorology 77, 241-261.
190. Zoebl, D. (2000). Patterns of input-output relations in agro-ecosystems. Agriculture, Ecosystems and Environment 79, 233-244.