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References

  • Adler, R,F,, Huffman, G.J. and Keehn, P.R., 1994. Global rain estimates from microwave-adjusted geosynchronous IR data. Remote Sensing Reviews, 11: 125–152.

    Google Scholar 

  • Arkin, P.A., Joyce, R. and Janowiak, J.E., 1994. IR techniques: GOES precipitation index. Remote Sensing Reviews, 11: 107–124.

    Google Scholar 

  • Bullock, P.R., 1992. Operational estimates of Western Canadian grain production using NOAA AVHRR LAC data. Canadian Journal of Remote Sensing, 18: 23–28.

    Google Scholar 

  • Chong, D.L.S., Mougin, E. and Gastellu-Etchegorry, J.P., 1993. Relating the global vegetation index to net primary productivity and actual evapo transpiration over Africa. International Journal of Remote Sensing, 14: 1517–1546.

    Google Scholar 

  • FEWS, 2000. Annual performance and monitoring report for the Year 2000: FEWS NET, Chemonics International, Washington DC.

    Google Scholar 

  • Field, J.O., 1991. Beyond relief: Toward improved management of famine. In: H.G. Bohle, T.Cannon, G.I. Hugo and F.N. Ibrahim (Editors), Famine and Food Security in Africa and Asia: Indigenous Response and External Intervention to Avoid Hunger. Verlag, Bayreuth, Germany, pp.151–166.

    Google Scholar 

  • Funk, C. and Budde, M., 2007. National MODIS NDVI-based production anomaly estimates for Zimbabwe. University of California, Santa Barbara.

    Google Scholar 

  • Funk, C.C. and Brown, M.E., 2006. Intra-seasonal NDVI change projections in semi-arid Africa. Remote Sensing of Environment, 101: 249–256.

    Article  Google Scholar 

  • Groten, S.M.E., 1993. NDVI-crop monitoring and early yeild assessment of Burkina Faso. Remote Sensing of Environment 14: 1495–1515.

    Google Scholar 

  • Hielkema, J.U., Prince, S.D. and Astle, W.L., 1986. Rainfall and Vegetation Monitoring in the Savanna Zone of the Sudan using the NOAA AVHRR. International Journal of Remote Sensing, 7: 1499–1513.

    Article  Google Scholar 

  • Huffman, G.J., Adler, R.F., Rudolf, B., Schneider, U. and Keehn, P.R., 1995. Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information. Journal of Climate, 8: 1284–1295.

    Article  Google Scholar 

  • Hutchinson, C.F., 1998. Social science and remote sensing in famine early warning. In: D.Liverman, E.F. Moran, R.R. Rindfuss and P.C. Stern (Editors), People and Pixels: Linking Remote Sensing and Social Science. National Academy Press, Washington DC, pp.189–196.

    Google Scholar 

  • Ji, L. and Peters, A.J., 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment, 87:85–98.

    Article  Google Scholar 

  • Kerr, Y.H., Imbernon, J., Dedieu, G., Hautecoeur, O., Lagouarde, J.P. and Seguin, B., 1989. NOAA AVHRR and Its Uses for Rainfall and Evapotranspiration Monitoring. International Journal of Remote Sensing, 10: 847–854.

    Article  Google Scholar 

  • Linthicum, K.J., Anyamba, A., Tucker, C.J., Kelley, P.W., Myers, M.F. and Peters, C.J., 1999. Climate and satellite indicators to forecast rift Valley fever epidemics in Kenya. Science, 285: 397–400.

    Article  CAS  Google Scholar 

  • Los, S.O., 1998. Estimation of the ratio of sensor degradation between NOAA AVHRR channels 1 and 2 from monthly NDVI composites. IEEE Transactions on Geoscience and Remote Sensing, 36: 206–213.

    Article  Google Scholar 

  • Love, T.B., Kumar, V., Xie, P. and Thiaw, W.M., 2004. 20-Year Daily Africa Precipitation Climatology using Satellite and Gauge Data, American Meteorological Society, USA., pp.5.4–5.7.

    Google Scholar 

  • Potter, C.S., Klooster, S. and Brooks, V., 1999. Interannual variability in terrestrial net primary production: Exploration of trends and controls on regional to global scales. Ecosystems, 2:36–48.

    Article  Google Scholar 

  • Rasmussen, M.S., 1992. Assessment of millet yields and production in northern Burkina Faso using integrated NDVI from the AVHRR. International Journal of Remote Sensing, 13: 3431–3442.

    Article  Google Scholar 

  • Reynolds, C., 2007. Results from a USDA/USAID crop tour of Zimbabwe.

    Google Scholar 

  • Richard, Y. and Poccard, I., 1998. A Statistical Study of NDVI sensitivity to Seasonal and Interannual Rainfall Variations in Southern Africa. International Journal of Remote Sensing, 19: 2907–2920.

    Article  Google Scholar 

  • Rojas, O., 2007. Operational maize yield development and validation based on remote sensing and agro-meteorological data in Kenya. International Journal of Remote Sensing,28.

    Google Scholar 

  • Senay, G.B. and Verdin, J., 2003. Characterization of Yield Reduction in Ethiopia Using a GIS-Based Crop Water Balance Model. Canadian Journal of Remote Sensing, 29: 687–692.

    Google Scholar 

  • Swets, D.L., Marko, S.E., Rowland, J. and Reed, B.C., 1999. Statistical Methods for NDVI Smoothing. Proceedings, American Society for Photogramity and Remote Sensing.

    Google Scholar 

  • Tucker, C.J., Vanpraet, C.L., Sharman, M.J. and van Ittersum, G., 1985. Satellite Remote Sensing of Total Herbaceous Biomass Production in the Senegalese Sahel: 1980–1984. Remote Sensing of Environment, 17: 233–249.

    Google Scholar 

  • Unganai, L.S. and Kogan, F.N., 1998. Drought Monitoring and Corn Yield Estimation in Southern Africa from AVHRR Data. Remote Sensing of Environment, 63: 219–232.

    Article  Google Scholar 

  • Verdin, J. and Klaver, R., 2002. Grid cell based crop water accounting for the Famine Early Warning System. Hydrological Processes, 16: 1617–1630.

    Article  Google Scholar 

  • Verdin, J.P., Funk, C.C., Senay, G. and Choularton, R., 2005. Climate science and famine early warning. Philosophical Transactions of the Royal Society B, 360: 2155–2168.

    Article  Google Scholar 

  • Xie, P. and Arkin, P.A., 1997. Global Precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bulletin American Meteorological Society, 78: 2539–2558.

    Article  Google Scholar 

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Brown, M.E. (2008). Zimbabwe’s Crisis of 2006–2007. In: Famine Early Warning Systems and Remote Sensing Data. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75369-8_16

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