Mapping return levels of absolute NDVI variations for the assessment of drought risk in Ethiopia

International Journal of Applied Earth Observation and Geoinformation

Volumn 18, Issue 1, 2012, Pages 564-572

  Tonini, Francesco ^a   Lasinio, Giovanna Jona ^b   Hochmair, Hartwig H ^a  

^a UNIVERSITY OF FLORIDA   (United States)

^b SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Drought risk spot vegetation ndvi autocorrelation return levels extreme value distributions

Indexed keywords

AUTOCORRELATION; CROP PRODUCTION; DROUGHT; HAZARD ASSESSMENT; MAPPING METHOD; NATURAL DISASTER; NDVI; VEGETATION;

ETHIOPIA; TIGRAY;

EID: 84864516638     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.03.018     Document Type: Article

References (51)

1. Al-Bakri, J.T., Taylor, J.C., 2003. Application of NOAA AVHRR for monitoring vegetation conditions and biomass in Jordan. Journal of Arid Environments 54 (3), 579-593.
2. Balkema, A., de Haan, L., 1974. Residual life time at great age. Annals of Probability 2, 792-804.
3. Boegh, E., Soegaard, H., Hanan, H., Kabat, P., Lesch, L., 1998. A remote sensing study of the NDVI-Ts relationship and the transpiration from sparse vegetation in the Sahel based on high resolution data. Remote Sensing of Environment 69, 224-240.
4. Box, G.E.P., Jenkins, G.M., 1976. Time Series Analysis: Forecasting and Control. Holden-Day, Oakland, CA, U.S.A.
5. Chumo, A.T., 2011. The Horn of Africa Drought: The Endless Plight., http://foreignpolicyblogs.com/2011/07/10/horn-africa-drought-endlessplight/(accessed 21.03.12).
6. Coles, S., 2001. An Introduction to Statistical Modeling of Extreme Values. Springer Series in Statistics.
7. Efthymiadis, D., Goodess, C.M., Jones, P.D., 2011. Trends in Mediterranean gridded temperature extremes and large-scale circulation influences. Natural Hazards and Earth System Sciences 11, 2199-2214.
8. Fawcett, L., Walshaw, D., 2007. Improved estimation for temporally clustered extremes. Environmetrics 18 (2), 173-188.
9. Fisher, R.A., Tippett, L.H.C., 1928. Limiting forms of the frequency distribution of the largest or smallest member of a sample. Mathematical Proceedings of the Cambridge Philosophical Society 24, 180-190.
10. Food and Agriculture Organization, 2011. Drought-related food insecurity: a focus on the Horn of Africa. In: Emergency Ministerial-level Meeting, 25 July.
11. Frere, M., Popov, G., 1986. Early agrometeorological crop yield assessment. FAO Plant Production and Protection Paper No. 73, 144. Food and Agriculture Organization (FAO), Rome, Italy.
12. Gibbs, W.J., Maher, J.V., 1967. Rainfall Deciles as Drought Indicators. Bureau of Meteorology, Melbourne, Australia, Bulletin no. 48.
13. Guttman, N.B., 1998. Comparing the Palmer drought severity index and the standardized precipitation index. Journal of the American Water Resources Association 34 (1), 113-121.
14. Hayes, M.J., Svoboda, M., Wilhite, D.A., Vanyarkho, O.V., 1999. Monitoring the 1996 drought using the Standardized Precipitation Index. Bulletin of the American Meteorological Society 80 (3), 429-438.
15. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., Ferreira, L.G., 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of Environment 83, 195-213.
16. Jensen, J.R., 2005. Introductory Digital Image Processing: A Remote Sensing Perspective, 3rd ed. Prentice Hall, Upper Saddle River, NJ, U.S.A.
17. Ji, L., Peters, A.J., 2003. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sensing of Environment 87 (1), 85-98.
18. Justice, O., Digdale, G., Townshen, D.Y., Nallacott, A.S., Kumar, M., 1991. Synergism between NOAA/AVHRR and Meteosat data for studying vegetation development in semi-arid West Africa. International Journal of Remote Sensing 12, 1349-1368.
19. Karl, T.R., 1986. The sensitivity of the Palmer Drought Severity Index and Palmer's Z-Index to their calibration coefficients including potential evapotranspiration. Journal of Climate and Applied Meteorology 25, 77-86.
20. Karnieli, A., Bayasgalan, M., Bayarjargal, Y., Agam, N., Khudulmur, S., Tucker, C.J., 2006. Comments on the use of the Vegetation Health Index over Mongolia. International Journal of Remote Sensing 27 (10), 2017-2024.
21. Keyantash, J., Dracup, A.J., 2002. The quantification of drought: an evaluation of drought indices. Bulletin of the American Meteorological Society 83 (8), 1167-1180.
22. Kogan, F.N., 1995. Droughts of the late 1980 in the United States as derived from NOAA polar-orbiting satellite data. Bulletin of the American Meteorological Society 76 (5), 655-668.
23. Kogan, F.N., 1997. Global drought watch from space. Bulletin of the American Meteorological Society 78, 621-636.
24. Malevergne, Y., Pisarenko, V., Sornette, D., 2006. On the power of generalized extreme value (GEV) and generalized Pareto distribution (GPD) estimators for empirical distributions of stock returns. Applied Financial Economics 16 (3), 271-289.
25. MARS, 2008. Crop Monitoring in Ethiopia. MARS Agrometeorological Bulletin, vol. 2., http://reliefweb.int/node/275887/pdf (accessed 26.03.012).
26. MARS, 2009. Crop Monitoring in Ethiopia. MARS Agrometeorological Bulletin, vol. 2., http://reliefweb.int/node/13648/pdf (accessed 26.03.12).
27. MARS, 2010. Crop Monitoring in Ethiopia. MARS Agrometeorological Bulletin, vol. 1., http://reliefweb.int/node/367467/pdf (accessed 26.03.12).
28. McKee, T.B., Doesken, N.J., Kleist, J., 1993. The relationship of drought frequency and duration to time scales. In: 8th Conference on Applied Climatology, Anaheim, CA, U.S.A., 17-22 January, pp. 179-184.
29. Nagarajan, R., 2009. Drought Assessment. Springer.
30. NASA Earth Observatory, 2011. Drought: The Creeping Distaster., http://earthobservatory.nasa.gov/Features/DroughtFacts/(accessed 10.10.11).
31. Nidumolu, U., Sadras, V., Hayman, P., Crimp, S., 2008. Comparison of NDVI seasonal trajectories and modelled crop growth dynamics. In: Proceedings of the 14th Australian Agronomy Conference, Adelaide, South Australia, 21-25 September.
32. NOAA National Climatic Data Center, 2011. Satellite-based Drought Indicators., http://www.ncdc.noaa.gov/climate-monitoring/dyk/satellite-drought (accessed 10.10.11).
33. Palmer, W.C., 1968. Keeping track of crop moisture conditions, nationwide: the new crop moisture index. Weatherwise 21 (4), 156-161.
34. Palmer, W.C., 1965. Meteorological Drought. Research paper No. 45. U.S. Department of Commerce Weather Bureau, Washington, D.C., U.S.A.
35. Persendt, F.C., 2009. Drought risk assessment using remote sensing and GIS to alleviate poverty. A case study of the Oshikoto region in Namibia. In: Conference on Applied Geoinformatics for Society and Environment (AGSE), Stuttgart University of Applied Sciences, Germany, 20-21 August.
36. Pickands, J., 1975. Statistical inference using extreme order statistics. Annals of Statistics 3, 119-131.
37. R Development Core Team, 2011. A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria.
38. Richard, Y., Poccard, I., 1998. A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa. International Journal of Remote Sensing 19 (15), 2907-2920.
39. Robeson, S.M., 2008. Applied climatology: drought. Progress in Physical Geography 32 (3), 303-309.
40. Sanabria, L.A., Cechet, R.P., 2010. Extreme value analysis for gridded data. In: International Congress on Environmental Modelling and Software Modelling for Environment's Sake, Fifth Biennial Meeting, Ottawa, Canada.
41. Sewonet, A., 2002. Significant Meher Harvest Reductions in the Northeastern Lowlands of Tigray and Amhara Regions Expected., http://reliefweb.int/node/107396 (accessed 10.10.11).
42. Shafer, B.A., Dezman, L.E., 1982. Development of a Surface Water Supply Index (SWSI) to assess the severity of drought conditions in snowpack runoff areas. In: Proceedings of the Western Snow Conference, Fort Collins, CO, U.S.A, pp. 164-175.
43. Shaheen, A., Baig, M.A., 2011. Drought severity assessment in arid area of Thal Doab using remote sensing and GIS. International Journal of Water Resources and Arid Environments 1 (2), 92-101.
44. Steinemann, A.C., Hayes, M.J., Cavalcanti, L.F.N., 2005. Drought indicators and triggers. In: Wilhite, D.A. (Ed.), Drought and Water Crises: Science, Technology, and Management Issues. CRC Press.
45. The World Bank, http://go.worldbank.org/AH71AI0FS0, 2011 (accessed 10.10.11).
46. Tucker, C.J., 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment 8, 127-150.
47. United Nations World Food Programme, 2011. Food Security Analysis., http://www.wfp.org/food-security (accessed 10.10.11).
48. VEGETATION, 2011. Products - Vegetation System., http://www.spot-vegetation.com/(accessed 10.10.11).
49. Wang, Q., Tenhunen, J., 2004. Vegetation mapping with multitemporal NDVI in North Eastern China Transect (NECT). International Journal of Applied Earth Observation and Geoinformation 6 (1), 17-31.
50. Wardlow, D., 2009. Remote sensing and drought monitoring - an overview, options for Mali, and future directions. In: Drought Monitor Workshop, Bamako, Mali, 14-17 September.
51. Xie, P., Arkin, A., 1997. A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bulletin of the American Meteorological Society 78, 2539-2558.