Wheat crop production estimation using satellite data

Journal of the Indian Society of Remote Sensing

Volumn 30, Issue 4, 2002, Pages 213-219

  Bairagi, G D ^a   Hassan, Zia Ul ^b  

^a Madhya Pradesh Council of Science & Technology Bhopal   (India)

^b Saifia Post Graduate Science College   (India)

Author keywords

[No Author keywords available]

Indexed keywords

TRITICUM AESTIVUM;

EID: 42049089021     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/BF03000364     Document Type: Article

References (23)

1. Bannari, A., Morin, D. and Bonn, F. (1995). A review of vegetation indices. Remote Sensing Reviews, 13:95-120.
2. Colwell, J. (1985). Agriculture Applications. In manual of Remote Sensing, II (Virginia: American Society of photogrommetry), pp.2211-2218
3. Dawbin, K. W. and Evans, J. C. (1988). Large area crop classification in New South Wales, Australia, using Landsat data. Int. J. Remote Sensing, 9:295-301.
4. Dadam, J. M. (1978). On the prediction of reference crop evapotranspiration and consumptive use of different crops. Annals of Arid Zone, 17(1):99-111.
5. Datta, S., Patel, N. K., Medhavi, T. T., Shrivastava, S. K., Mishra, N. and Singh K. R. P. (1998). Wheat crop classification using multi-date IRS LISS-I data. J. Indian Soc. Remote Sensing, 26(1&2):7-14.
6. Hall Konyves, K. (1990). Crop monitoring in Sweden. Int. J. Remote Sensing, 11: 461-484.
7. Kalubarme, M. H., Hooda, R. S., Yadav, M; Saroha, G. P., Arya, V. S., Bhatt, H. P., Ruhal, D. S., Khera, A. P. Hooda, I. S. and Singh, C. P. (1998). Cotton production forecasting using remote sensing data and agrometeorological yield models in Haryana. Proc. Nat. Syrup. On Remote Sensing and Geog. Inf. System for Natural Resource Management, pp. 133-147.
8. MacDonald, R. B. and Hall, F. G. (1980), Global forecasting. Science, 208:670-679.
9. MacDonald, R. B. (1984). A summary of the history of the development of automated Remote Sensing for agriculture applications. IEEE Trans. Geo-Science Remote Sensing GE-22:473-481.
10. Manjunath, K. R., Kundu, H. and Panigrahy, S. (1999). Evaluation of spectral bands and spatial resolution of LISS Il and LISS lll sensors onboard IRS satellite for crop identification. J. Indian Soc. Remote Sensing, 26(4): 196-208.
11. Mutreja, K. N. (1986). Applied Hydrology. Tata McGraw-Hill Pub. New Delhi. pp. 314-321.
12. Oza, M. P., Nita Bhagia, Patel, J. H., Datta, S. and Dadhwal, V. K. (1996) National Wheat acreage estimation for 1995-96, Using Multi-date IRS-1C WiFS data. J. Indian Soc. Remote Sensing, 24 (4):243-254.
13. Premalatha, M. and Nageshwara Rao, P. P. N. (1994). Crop acreage estimation using ERS-1 SAR data. J. Indian Soc. Remote Sensing, 22(3):139-147.
14. Purohit, N. L., Joshi, F. K. Sankhla, D. S. Ravi, N., Sudha Ravindranath and Dadhwal, V. K. (1997). Accuracy of mustard and wheat inventory at village-level using LISS II digital data in Pall district Rajasthan. J. Indian Soc. Remote Sensing, 25 (3): 163-168.
15. Ray, S. S., Pokharna, S. S. and Ajai (1994). Cotton Production estimation using IRS IB and meteorological data, Int. J. Remote Sensing, 15 (5): 1085-1090.
16. Saha, S. K. and Jonna, S. (1994). Paddy acreage and yield estimation and irrigated crop land inventory using satellite and agrometeorological data. Asian-Pacific J. Remote Sensing, 6(2):79-87.
17. Sahai, B. and Ajay (1990). Application of Remote Sensing techniques in dry land agriculture and technology. (Ed. Somary, L.L.) D.J. Prakashan, Jodhpur, pp. 5-53.
18. Sahai, B. and Dadhwal, V. K. (1990). Remote Sensing in Agriculture. In technology Blending and agrarian prosperity, by J.P. Verma and A. Verma (New Delhi: Malhotra Publishers), pp. 83-98.
19. Sharma, S. A., Bhatt, H. P., Ajay, and Sandeep Nanavaty (1991). Rapeseed mustard acreage estimation using IRS LISS-II data. J. Indian Soc. Remote Sensing, 19(1):59-65.
20. Singh, R., Goyal, R. C., Saha, S. K. and Chhikara, R. S. (1992). Use of satellite spectral data in crop yields estimation surveys. Int. J. Remote Sensing, 13(14):2583-2592.
21. Singh, R and Ibrahim, A. E. I. (1996). Use of spectral data in Markov Chain model for crop yield forecasting. J. Indian Soc. Remote Sensing, 24 (3):145-152.
22. Sridhar, V. N., Dadhwal, V. K. Chaudhari, K. N.; Sharma, R., Bairagi, G. D. and Sharma, A. K. (1994). Wheat production forecasting for a predominantly unirrigated region in Madhya Pradesh (India). Int. J. Remote Sensing, 15:1307-1316.
23. Vittum, M. T., Dethier, B. E. and Lesser, R. C. (1965). Estimating Growing Degree Days. Proc. American. Soc. Hort. Sci., 87:449-452.