References

Aggarwal, P.K. 1993. Agro-ecological zoning using crop growth simulation models: characterization of wheat environments of India, pages 97-109. In: Systems Approaches for Agricultural Development, Vol. 2. (Penning de Vries, F.W.T., Teng, P. and Metselaar, K. eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands.

Aggarwal, P.K., Kalra, N., Bandhyopadhyay, S.K., Pathak, H., Sehgal, V.K., Kaur, R., Rajput, T.B.S., Joshi, H.C., Choudhary, R. and Roetter, R. 1998. Exploring agricultural land use options for the State of Haryana: Biophysical modelling, pages 59-65. In: Exchange of methodologies in land use planning (Roetter, R., Hoanh, C.T., Luat, N.V., van lttersum, M.K. and van Laar, H.H. eds.), SysNet Research Paper Series No. 1, IRRI, Los Banos, Philippines.

Bacsi, Z., Thorton, P.K. and Dent, J.B. 1991. Impacts of future climate change on Hungarian crop production: An application of crop growth simulation models. Agric. Sys., 37: 435-450.

Badhwar, G. D., MacDonald, R.B., and Mehta, N.C. 1986. Satellite-derived LAI and vegetation maps as input to global cycle models-a hierarchical approach. Int. J. Remote Sensing, 7: 265-281.

Bouman, B.A.M. 1995. Crop modelling and remote sensing for yield prediction. Netherland J. Agric. Sci., 43: 143-161.

Bouman, B.A.M., van Dipen, C.A., Vossen, P. and van Der Wal, T. 1997. Simulation and systems analysis tools for crop yield forecasting, pages 325-340. In: Applications of Systems Approaches at the Farm and Regional Levels, Vol. 1. (Teng, P.S., Kropff, M.J., ten Berge, H.F.M., Dent, J.B., Lansigan, F.P. and van Laar, H.H. eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands.

Bouman, B.A.M., van Kraalingen, D.W.G., Stol, W. and van Leeuwen, H.J.C. 1999. An ecological modeling approach to explain ERS SAR radar backscatter of agricultural crops. Remote Sens. Environ., 67: 137-146.

Burrough, P.A. and McDonnell, R.A. 1998. Principles of geographic information systems. Oxford University Press, Oxford, UK, pp. 10-16.

Burrough, P.A. 1996. Environmental modelling with geographical information system, pages 56-59. In: Models in Action, Quantitative Approaches in Systems Analysis (Stein, A., Penning de Vries, F.W.T. and Schotman, P.J. eds.), No 6, AB-DLO, Wageningen, The Netherlands.

Calixte, J.P., Beinroth, F.J., Jones, J.W. and Lai, H. 1992. Linking DSSAT to a geographic information system. Agrotechnology Transfer, 15: 1-7.

Carter, T.R. and Saariko, R.A. 1996. Estimating regional crop potential in Finland under a changing climate. Agric. For. Meteorol., 79: 301-313.

Chen, J.M. and Cihlar, J. 1996. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sens.Environ., 55: 153-162.

Chen, J.M., Pavlic, G., Brown, L., Cihlar, J., Leblanc, S.G., White, H.P., Hall, R.J., Peddle, D.R., King, D.J., Trofymow, J.A., Swift, E., Van der Sanden, J., Pellikka, P.K.E. 2002. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sens. Environ., 80: 165-184.

Clevers, J.G.P.W., Buker, C., van Leeuwen, H.J.C. and Bouman, B.A.M. 1994. A framework for monitoring crop growth by combining directional and spectral remote sensing information. Remote Sens. Environ., 50: 161-170.

Clevers, J.G.P.W. and van Leeuwen, H.J.C. 1996. Combined use of optical and microwave remote sensing data for crop growth monitoring. Remote Sens. Environ., 56: 42 - 51.

Dadhwal, V.K. 1999. Remote Sensing and GIS for agricultural crop acreage and yield estimation. Internat. Arch. Photogramm. & Remote Sensing, XXXII, 7-W9, 58-67.

Dadhwal, V.K. and Ray, S.S. 2000. Crop Assessment using remote sensing - Part II: Crop condition and yield assessment. Indian J. Agric. Economics, 55 (2, Suppl.), 55-67.

Dadhwal, V.K., Sehgal, V.K., Singh, R.P. and Rajak, D.R. 2003. Wheat yield modeling using satellite remote sensing with weather data: Recent Indian experience. Mausum, 54(1): 253-262.

Delecolle, R. and Guerif, M. 1988. Introducing spectral data into a plant process model for improving its prediction ability. Proceedings of the 4th International Colloquium Signatures Spectrales d'Objects en Teledetection, 18-22 Jan, 1988, Aussois, France, pp. 125-127.

Delecolle, R., Maas, S.J., Guerif., M. and Baret, F. 1992. Remote sensing and crop production models: present trends. ISPRS J. Photogramm. Remote Sens., 47:145-161.

Engel, T., Hoogenboom, G., Jones, J.W. and Wilkens, P.W. 1997. AEGIS/WIN - a program for the application of crop simulation models across geographic areas. Agronomy J., 89: 919-928.

Gao, W. and Lesht, B.M. 1997. Model inversion of satellite measured reflectances to obtain surface biophysical and bi-directional reflectance characteristics of grassland. Remote Sens. Environ., 59: 461-471.

Guerif, M. and Duke, C. 1998. Calibration of SUCROS emergence and early growth module for sugar beet using optical remote sensing data assimilation. European J. Agronomy, 9: 127-136.

Han, S., Evans, R.G., Hodges, T. and Rawlins, S.L. 1995. Linking geographic information system with a potato simulation model for site-specific crop management. J. Environ.

Hartkamp, D.A., White, J.W. and Hoogenboom, G. 1999. Interfacing geographic information systems with agronomic modeling: A review. Agron. J., 91: 761-772.

Horie, T., Yajima, M. and Nakagawa, H. 1992. Yield forecasting. Agric. For. Meteorol., 40: 211-236.

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 Sci., 1(4): 269-279.

Jones, J.W. 1993. Decision support systems for agricultural development, pages 459-471. In: Systems Approaches for Agricultural Development, Vol. 2. (Penning de Vries, F.W.T., Teng, P. and Metselaar, K. eds.), Kluwer Academic Publishers, Dordrecht, The Netherlands.

Knyazikhin, Y., Martonchik, J.V., Myneni, R.B., Diner, D.J. and Running, S.W. 1998. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data. J. Geophys. Res., 103: 32257-32275.

Maas, S.J. 1988a. Use of remotely sensed information in agricultural crop growth models. Ecol. Modelling, 41: 247-268.

Maas, S.J. 1988b. Using satellite data to improve model estimates of crop yield. Agron. J., 80: 655-662.

Maracchi, G., Perarnaud, V. and Kleschenko, A.D. 2000. Applications of geographical information systems and remote sensing in agrometeorology. Agric. ForestMeteorol., 103: 119-136.

Meyer-Roux, J. and Vossen, P. 1994. The first phase of the MARS project, 1988-1993: overview, methods and results, pp. 33 - 85. In: Proceedings of the Conference on the MARS Project: Overview and Perspectives. Commission of the European Communities, Luxembourg.

Moulin, S. and Guerif, M. 1999. Impacts of model parameter uncertainties on crop reflectance estimates: a regional case study on wheat. Int. J. Remote Sens., 20(1): 213-218.

Moulin, S., Bondeau, A. and Delecolle, R. 1998. Combining agricultural crop models and satellite observations: from field to regional scales. Int. J. Remote Sens., 19(6): 10211036.

Myneni, R.B., Nemani, R.R. and Running, S.W. 1997. Estimation of global leaf area index and absorbed PAR using radiative transfer models. IEEE Trans. on Geosc. and Rem. Sensing, 35(6): 1380-1393.

Nain, A.S., Dadhwal, V.K. and Singh, T.P. 2004. Use of CERES-Wheat model for wheat yield forecast in central Indo-Gangetic plains of India. J. Agricultural Science (camb.), 142: 59-70.

Pandya, M.R., Chaudhari, K.N., Singh, R.P., Sehgal, V.K., Bairagi, G.D., Sharma, R. and Dadhwal, V.K. 2003. Leaf area index retrieval using IRS LISS-III sensor data and validation of MODIS LAI product over Madhya Pradesh. Current Science, 85(12): 1777-1782.

Price, J.C. 1993. Estimating leaf area index from satellite data. IEEE Trans. Geoscience Remote Sensing, 31: 727-734.

Qiu, J., Gao, W. and Lesht, B.M. 1998. Inverting optical reflectance to estimate surface properties of vegetation canopies. Int. J. Remote Sens., 19: 641-656.

Rastogi, A., Kalra, N., Agarwal, P.K., Sharma, S.K., Harit, R.C., Navalgund, R.R. and Dadhwal, V.K. 2000. Estimation of wheat leaf area index from satellite data using Price model. International J. Remote Sensing, 21(15): 2943- 2949.

Richardson, A.J., Wiegand, C.L., Arkin, G.F., Nixon, P.R. and Gerbermann, A.H. 1982. Remotely sensed spectral indicators of sorghum development and their use in growth modelling. Agric. Meteorol., 26: 11-23.

Satya, P., Shibasaki, R. and Ochi, S. 1998. Modelling Spatial Crop Production: A GIS approach. In: Proceedings of the 19th Asian Conference on Remote Sensing, 16-20 Nov., 1998, Manila, pp. A-9-1 - A-9-6.

Sehgal, V.K., Rajak, D.R. and Dadhwal, V.K. 2001a. Issues in linking remote sensing inputs in a crop growth monitoring system: results of a case study. In: Proc. of the ISRS National Symposium, Dec 11-13, 2001, Ahmedabad, India.

Sehgal, V.K., Sastri, C.V.S., Kalra, N. and Dadhwal, V.K. 2001b. Farm level yield mapping for precision crop management under Indian conditions using a simple approach of linking remote sensing information and crop simulation model. In: Proc. of the ISRS National Symposium, Dec 11-13, 2001, Ahmedabad, India.

Sehgal, V.K., Rajak, D.R., Chaudhary, K.N. and Dadhwal, V.K. 2002. Improved regional yield prediction by crop growth monitoring system using remote sensing derived crop phenology. Internat. Arch. Photogramm. Remote Sens. & Spatial Inf. Sci., 34 (7): 329334.

Thornton, P.K., Bowen, W.T., Ravelo, A.C., Wilkens, P.W., Farmer, G., Brock, J. and Brink, J.E. 1997. Estimating millet production for famine early warning: an application of crop simulation modelling using satellite and ground-based data in Burkina Faso. Agric. For. Meteorol, 83: 95-112.

Tim, U.S. 1996. Coupling vadose zone models with GIS: Emerging trends and potential bottlenecks. J. Environ. Qual., 25: 535-544.

Vossen, P. 1995. Early assessment of national yields: the approach developed by the MARSSTAT project on behalf of European Commission, pages 327-347. In: Proceedings of the Seminar on Yield Forecasting, 24-27 Oct., 1995, Villerfranche-sur-Mer, France.

Wade, G., Mueller, R., Cook, P.W. and Doraiswamy, P.C. 1994. AVHRR Map products for Crop Condition Assessment: A Geographic Information Systems Approach. Photogrammetric Engineering & Remote Sensing, 60(9): 1145-1150.

Wiegand, C.L., Richardsons, A.J. and Kanemasu, E.T. 1979. Leaf area index estimates for wheat from LANDSAT and their implications for evapotranspiration and crop modeling. Agronomy J., 71: 336-342.

0 0

Post a comment