Operational maize yield model development and validation based on remote sensing and agro-meteorological data in Kenya

International Journal of Remote Sensing

Volumn 28, Issue 17, 2007, Pages 3775-3793

  Rojas, O ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; CULTIVATION; EVAPOTRANSPIRATION; LINEAR REGRESSION; MEAN SQUARE ERROR; SAMPLING; SOIL MOISTURE; WEATHER FORECASTING;

CROP YIELD MONITORING; CROP-SPECIFIC WATER BALANCE MODEL; NORMALIZED DIFFERENCE VEGETATION INDEX; SPECTRAL INDICES;

REMOTE SENSING;

AGROMETEOROLOGY; CROP PRODUCTION; CROP YIELD; EVAPOTRANSPIRATION; MAIZE; MULTIPLE REGRESSION; NDVI; NEAR INFRARED; REMOTE SENSING; SPECTRAL ANALYSIS; SPOT;

AFRICA; EAST AFRICA; KENYA; SUB-SAHARAN AFRICA;

ZEA MAYS;

EID: 34548309577     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160601075608     Document Type: Article

References (26)

1. Curry, R. B. (1971) Dynamic simulation of plant growth. I. Development of model. Transactions of the ASAE, 14, pp. 946-949.
2. de Wit, C. T., Brouwer, R. and de Vries, F. W. T. Penning (1970) The simulation of photosynthetic systems.pp. 47-70. Pudoc, Wageningen, Netherlands
3. de Wit, C. T. and Goudriaan, J. (1974) Simulation of Ecological Processes, Centre for Agricultural Publishing and Documentation, Wageningen, Netherlands
4. Gregorio, A. Di and Jansen, L. (2000) Land Cover Classification System (LCCS). Classification Concepts and User Manual. Publication of the FAO Environment and Natural Resources Service-AFRICOVER Project, FAO, Rome
5. Doorenbos, J. and Pruitt, W. (1977) Guidelines for Predicting Crop Water Requirements, FAO Irrigation and Drainage Paper No. 24, FAO, Rome
6. Frère, M. and Popov, G. (1979) Agrometeorological Crop Monitoring and Forecasting. FAO Plant Production and Protection, Paper No. 17, FAO, Rome
7. Genovese, G., Vignolles, C., Negre, T. and Passera, G. (2001) A methodology for a combined use of Normalized Difference Vegetation Index and CORINE land cover data for crop yield monitoring and forecasting. A case study on Spain. Agronomie, 21, pp. 91-111.
8. Gommes, R. (1993) FAOINDEX, Version 2.1. Agrometeorology Group, FAO, Rome
9. Gó, T., Demidowicz, G., Deputat, T., Gorska, K., Marcinkowska, I., Spoz-Pac, W. and Krakowiak, A. (1994) Agrometeorological quantification of agricultural year in Poland. Zeszyty Problemowe Postepw Nauk Rolniczych, 405, pp. 81-87.
10. Hastings, D. A. (2005) Africa's climate observed: Perspectives on monitoring and management of floods, drought and desertification. Climate Change and Africa, pp. 50-59. Cambridge University Press, Cambridge
11. Hastings, D. A. and Emery, W. J. (1992) The Advanced Very High Resolution Radiometer (AVHRR): A brief reference guide. Photogrammetric Engineering and Remote Sensing, 58, pp. 1183-1888.
12. Hochheim, K. P. and Barber, D. G. (1998) Spring wheat yield estimation for western Canada using NOAA NDVI data. Canadian Journal of Remote Sensing, 24, pp. 17-27.
13. Hoefsloot, P. (2005) Agrometshell Version 1.5, FAO, Rome
14. Lewis, J. E., Rowland, J. and Nadeau, A. (1998) Estimating maize production in Kenya using NDVI: Some statistical considerations. International Journal of Remote Sensing, 13, pp. 2609-2617.
15. Loomis, R. S. (1970) Dynamics of development of photosynthetic systems. Prediction and Measurement of Photosynthetic Productivity, pp. 137-141. Pudoc, Wageningen, Netherlands
16. Manjunath, K. R. and Potdar, M. B. (2002) Large area operational wheat yield model development and validation based on spectral and meteorological data. International Journal of Remote Sensing, 23, pp. 3023-3038.
17. McCree, K. J. (1970) An equation for the rate of respiration of white clover plants grown under controlled conditions. Prediction and Measurement of Photosynthetic Productivity, pp. 221-230. Pudoc, Wageningen, Netherlands
18. Meyer-Roux, J. and Vossen, P. (1994) The first phase of the MARS project, 1988-1993. Overview, methods and results. Proceedings of the Conference on The MARS Project, Overview and Perspectives, pp. 33-81. Office for the Official Publications of the EC, Space Applications Institute, JRC Ispra, Luxembourg
19. Monsi, M. and Saeki, T. (1953) Über den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung uf̈r die Stoffproduction. Japanese Journal of Botany, 14, pp. 22-52.
20. Negre, T., Rembold, F. and Gregorio, A. di (2001) AFRICNDVI: An advanced tool for real-time crop monitoring in Africa. Proceedings of the International Symposium Arid Regions Monitored by Satellites
21. Perdigao, V. and Annoni, A. (1997) Technical and Methodological Guide for Updating CORINE Land Cover Data base. Publication of the European Commission Joint Research Centre, Environmental European Agency EUR 172888 EN, Brussels
22. Potdar, M. B., Manjunath, K. R. and Purohit, N. L. (1999) Multi-season atmospheric normalization of NOAA AVHRR derived NDVI for crop yield modeling. Geocarto International, 14, pp. 51-56.
23. Rojas, O., Rembold, F., Royer, A. and Negre, T. (2005) Real-time agrometeorological crop yield monitoring in Eastern Africa. Agronomie, 25, pp. 1-15.
24. Rudorff, B. F. T. and Batista, G. T. (1990) Yield estimation of sugarcane based on agrometeorological-spectral models. Remote Sensing of Environment, 33, pp. 183-192.
25. Van Velthuizen, H., Verelst, L. and Santacroce, P. (1995) Crop Production System Zones of the IGADD Sub-Region, Agrometeorology Working Paper Series No. 10, FAO, Rome
26. Wang, J., Rich, P. M., Price, K. P. and Kettle, W. D. (2005) Relations between NDVI, grassland production, and crop yield in the Central Great Plains. Geocarto International, 20, pp. 1-7.