Abstract
Since 2001, the MARS Unit of the Joint Research Centre of the European Commission has developed a system for crop monitoring and forecasting in food insecure regions. This communication first provides an overall description of the system and then focuses on one monthly bulletin prepared and published by FOOD-SEC action of the MARS Unit in East Africa. The main example is taken from Ethiopia. Basic data, models and information are presented as well as some important parameters for crop monitoring.
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References
AFRICOVER (1995) AFRICOVER project of United-Nations Food and Agriculture Organization. http://www.africover.org/. Accessed on May 2010
Di Gregorio A, Jansen L (2000) Land cover classification system (LCCS). Classification concepts and user manual. FAO, Rome
FAO (2009) The state of food insecurity in the world. Economic crises, impacts and lessons learned. FAO, Rome
Frere M, Popov G (1979) Agrometeorological crop monitoring and forecasting. FAO Plant Production and Protection Paper No. 17. FAO, Rome
Genovese G, Vignolles C, Negre T et al (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 21:91–111
Gommes R (1993) FAOINDEX Version 2.1. Agrometeorology Group. Environment and Natural Resources Service, SDRN. FAO, Rome
Hoefsloot P (2005) Agrometshell Version 1.5. Agrometeorology Group, Environment and Natural Resources Service, SDRN. FAO, Rome
Reynolds C (2007) Crop Tour report for Niger, Burkina Faso and Ethiopia, FAS-USDA. http://www.pecad.fas.usda.gov/highlights/2007/12/Ethiopia_BF-Niger/. Accessed on May 2010
Rojas O, Rembold F, Royer A et al (2005) Real-time agrometeorological crop yield monitoring in Eastern Africa. Agronomie 25:63–77
Rojas O (2007) Operational maize yield model development and validation based on remote sensing and agro-meteorological data in Kenya. Int J Remote Sens 28(17):3775–3793
Rojas O, Vrieling A, Rembold F (2009a) Assessing drought probability for agricultural areas in Africa with remote sensing. Submitted to Remote Sens Environ
Rojas O, Rembold F, Delincé J et al (2009b) Using NDVI as auxiliary data for rapid quality assessment of rainfall estimates in Africa. Submitted to Int J Remote Sens
Rouse JW, Haas RW, Schell JA, Deering DH, Harlan JC (1974) Monitoring the vernal advencement and retrogradation (Greewave affect) of natural vegetation. Greenbelt, MD. USA: NASA/GSFC
Senay G, Verdin J (2002) Evaluating the performance of a crop water balance model in estimating regional crop production. In: Proceedings of the Pecora 15 Symposium, Denver, CO
Senay G, Verdin J (2003) Characterization of yield reduction in Ethiopia using a GIS-based crop water balance model. Can J Remote Sens 29(6):687–692
Van Velthuizen H, Verelst L, Santacroce P (1995) Crop production system zones of the IGADD sub-region. Agrometeorology Working Paper Series No. 10, FAO Rome
Vrieling A, de Beurs KM, Brown ME (2009) Phenological characterization and variability of African farming systems with NDVI time series. Submitted to Climatic Change
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Massart, M., Rembold, F., Rojas, O., Leo, O. (2010). The Use of Remote Sensing Data and Meteorological Information for Food Security Monitoring, Examples in East Africa. In: Chuvieco, E., Li, J., Yang, X. (eds) Advances in Earth Observation of Global Change. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9085-0_15
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DOI: https://doi.org/10.1007/978-90-481-9085-0_15
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