Improved ground sampling and crop yield estimation using satellite data

International Journal of Remote Sensing

Volumn 17, Issue 5, 1996, Pages 945-956

  Murthy, C S ^a   Thiruvengadachari, S ^a   Raju, P V ^a   Jonna, S ^a  

^a NATIONAL REMOTE SENSING AGENCY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

CROP YIELD ESTIMATION; GROUND TRUTH; SAMPLING DESIGN; SATELLITE DATA;

INDIA, KARNATAKA, DAVANGERE;

CROPS; MATHEMATICAL MODELS; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SAMPLING;

CROP CUTTING EXPERIMENTS; CROP YIELD ESTIMATES; NORMALIZED DIFFERENCE VEGETATION INDEX;

REMOTE SENSING;

EID: 0029667613     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169608949057     Document Type: Article

References (23)

1. BES, 1992, Manual on crop estimation surveys on food and nonfood crops in Andhra Pradesh, Published by the Bureau of Economics and Statistics, Hyderabad, Government of A.P., India.
2. Barthlome, E., 1988, Radiometric measurements and crop yield forecasting-some observations over millet and sorghum experimental plots in Mali. International Journal of Remote Sensing, 9, 1539-1552.
3. Bauman, B. A. M., 1992, Linking physical remote sensing models with crop growth simulation models applied for sugarbeet, International Journal of Remote Sensing, 14, 2565-2581.
4. Beneditti, R., and Rossini, P., 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.
5. Cochran, W. G., 1977, Sampling Techniques (New York: John Wiley).
6. Groten, S. M. E, 1993, NDVI-crop monitoring and early yield assessment of Burkino Faso. International Journal of Remote Sensing, 8, 1495-1515.
7. Hatfield, J. K., 1983, Remote sensing estimators of potential and actual crop yield. Remote Sensing of Environment, 13, 301-311.
8. Idso, S. B., Pinter, P. J. Jr, Jackson, R. D., and Reginato, R. J., 1980, Estimation of grain yields by remote sensing of crop senescence rates. Remote Sensing of Environment, 9, 87-91.
9. Estes J. E., Jensen, J. R., and Tinney L. R., 1978, Remote sensing of agricultural water demand information, a California study, Water Resources Research, 2, 170-176.
10. Jonna, S., Raju, P. V., Murthy, C. S., Chari, S. T., and Abdul Hakeem, K., 1994, Satellite monitoring and evaluation of typical canal command areas-a case study of Bhadra reservoir project. Proceedings of International Conference on Remote Sensing & GIS, Hybcrabad. India, 3-6 December (New Delhi: TATA McGraw Hill)pp. 287-291.
11. Murthy, C. S., Jonna, S., Raju, P. V., Thiruvengadachari, S., and Hakeem, K. A., 1994, Crop yield prediction in command areas using satellite data. Proceedings of the 15th Asian Conference on Remote Sensing, Bangalore, India, 17-24 November (Bangalore: 1SRO) pp. 141-146.
12. Nageswara Rao, P. P., Mohan Kumar, A., and Chandrasekhar, M. G, 1990, Crop land inventory in the command area of Krishnarajasagar Project using satellite data. Proceedings of the National Symposium on Remote Sensing for Agricultural Applications, Dehradun, 6-8 December (New Delhi: Indian Society of Remote Sensing), pp. 10-17.
13. Newbold, P., 1984, Statistics for Business on Economics (Englewood Cliffs NJ: Prentice-Hall).
14. Pinter, P. J. Jr., Jackson, R. D., Idso, S. B., Reginato, R. J., 1981, Multi date spectral reflectance as predictors of yield in water stressed wheat and barley. International Journal of Remote Sensing, 2, 43-48.
15. Potdar, M. B., 1993, Sorghum yield modelling based on crop growth parameters determined from visible and near 1R channel NOAA AVHRR data. International Journal of Remote Sensing, 14, 895-905.
16. Quamby, N. A., Milnes, M., Hindle, T. L., and Silloos, N., 1993, The use of multitemporal NDVI measurements from AVHRR data for crop yield estimation and prediction. International Journal of Remote Sensing, 14, 199-210.
17. Rasmussen, M. S., 1992, Assessment of millets yields and production in northern Burkino Faso using integral NDVI from the AVHRR. International Journal of Remote Sensing, 18, 3431-3442.
18. SAC., 1990, Status report on crop acreage and production estimation, Technical report, ISRO, Ahmedabad, India, RSAM/SAC/CAPE/SR/25/90.
19. Saha, S. K., and Jonna, S., 1994, Paddy acreage and yield estimation and irrigated crop land inventory using satellite and agrometorological data. Asian Pacific Remote Sensing Journal, 2, 79-87.
20. Singh, R., Goyal, R. C., Saha, S.K, and Chhikara, R. S., 1992, Use of satellite spectral data in crop yield estimation surveys. International Journal of Remote Sensing, 14, 2583-2592.
21. Tennakoon S. B., Murthy, V. V. N., and Eiumnoh, A., 1992, Estimation of cropped area and grain yield of rice using remote sensing data. International Journal of Remote Sensing, 13, 427-439.
22. Thiruvengadachari, S., Jonna, S., Raju, P. V., Murthy, C. S., and Harikishan, J., 1994, Irrigation water management in canal command areas; can remote sensing help?. Proceedings of the International Conference on Remote Sensing & GIS, Hyderabad, India, 3-6 December, (New Delhi: TATA McGraw Hill), pp. 202-207.
23. Tucker, C. J., Holben B. N., and Murtrey, Me. J. E., 1980, Relationship of spectral data to grain yield variations. Photogrammatic Engineering and Remote Sensing, 46, 657-666.