Drought monitoring in food-insecure areas of Ethiopia by using satellite technologies

Climate Change Management

Volumn , Issue , 2011, Pages 183-200

  Berhan, Getachew ^a   Tadesse, Tsegaye ^b   Atnafu, Solomon ^a   Hill, Shawndra ^c  

^a ADDIS ABABA UNIVERSITY   (Ethiopia)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Drought monitoring; Geospatial information; Knowledge discovery; Satellite images

Indexed keywords

EID: 84971601055     PISSN: 16102002     EISSN: 16102010     Source Type: Book Series    
DOI: 10.1007/978-3-642-22315-0_11     Document Type: Chapter

References (44)

1. Anyamba A, Tucker C (2003) Analysis of sahelian vegetation dynamics using NOAA-AVHRR NDVI data from 1981–2003. J Arid Environ 63:569–614
2. Benedetti R, Rossinni 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 Sens Environ 45:311–326
3. Budd T (2000) Understanding object-oriented programming with Java, reading. Addison Wesley, Mass
4. Cooper P, Dimes J, Rao K, Shapiro B, Twomlow S (2008) Coping better with current climatic variability in the rain-fed farming systems of Sub-Saharan Africa: an essential first step in adapting to future climate change? Agric Ecosyst Environ 126(1-2):24–35
5. EUMETSAT (2005) Meteosat Second Generation In Orbit—In Use, ISBN 92-9110-071-4 MSG.02 Version 1, Am Kavalleriesand 31, 64295 Darmstadt, Germany, Web: http://www.eumetsat.int
6. Fensholt R, Sandholt I, Stisen S, Tucker C (2006) Vegetation monitoring with the geostationary meteosat second-generation SEVIRI sensor. Remote Sens Environ 101:212–229
7. FEWS NET (2009) United Nations’ FEWS (famine early-warning systems) program, http://www.fews.net/Pages/default.aspx?l=en, verified on 8 December 2009
8. Gregor S (2006) The nature of theory in information systems. MIS Q 30(3):611–642
9. Gregor S, Jones D (2007) The anatomy of a design theory. J Assoc Inf Syst 85:312–335 Article 2
10. Hayes J, O’ Rourke P, Terjung W, Todhunter P (1982) Yield: A numerical crop yield model of irrigated and rainfed agriculture. Publ Climatol 35(2)
11. Hevner A, March ST, Park J, Ram S (2004) Design science in information systems research. MIS Q 1(28):75–105
12. Holben BN (1986) Characteristics of maximum-value composite images from temporal data. Int J Remote Sens 7:1417–1434
13. Jain SK, Keshiri R, Goswami A, Sarkar A, Chaudhry A (2009) Identification of drought-vulnerable areas using NOAA AVHRR data. Int J Remote Sens 30:2653–2668
14. Ji L, Peters AJ (2003) Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices. Remote Sens Environ 87:85–98
15. Kogan F, Gitelson A, Zakarin E, Spivak L, Lebed L (2003) AVHRR-based spectral vegetation index for quantitative assessment of vegetation state and productivity:calibration and validation. Photogramm Eng Remote Sens 69:899–906
16. Mckee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. 8th Conference on applied climatology, Anaheim, CA, USA, 17–22 January, pp 179–148
17. Mishra AK, Desai VR (2005) Spatial and temporal drought analysis in Kansabati river basin, India. Int J River Basin Manag 3:31–41
18. Myneni R, Asrar G (1994) Atmospheric effects and spectral vegetation indices. Remote Sens Environ 47(3):390–402
19. Nicholson S (1994) Recent rainfall fluctuations in Africa and their relationship to past conditions over the continent. Holocene 4(2):121–134
20. NMSA (National Meteorological Services Agency) (1996) Assessment of drought in Ethiopia. Meteorological research reports series, no. 2, Addis Ababa, Ethiopia
21. Obasi GP (1994) WMO’s role in international decade for natural disaster reduction. Bull Am Meteorol Soc 75(1):1655–1661
22. Prasad A, Singh R, Tare V, Kafatos M (2007) Use of vegetation index and meteorological parameters for the prediction of crop yield in India. Int J Remote Sens 28:5207–5235
23. Quarmby N, Milnes M, Hindle T, Silcos N (1993) The use of multi temporal NDVI measurements from AHRR data for crop yield estimation and prediction. Int J Remote Sens 14:199–210
24. Rulinda CM, Bijker W, Stein A (2009) Image mining for drought monitoring in eastern Africa using Meteosat SEVIRI data. Int J Appl Earth Observ Geoinform doi:10.1016/j.jag.2009.10.008
25. Simon HA (1996) The sciences of the artificial, 3rd edn. MIT Press, Cambridge, MA
26. Singh RP, Roy S, Kogan F (2003) Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India. Int J Remote Sens 24:4393–4402
27. Smakhtin V, Hughes D (2004) Review, Automated estimation and analysis of drought indices in South Asia. W.P. 83, Sri Lanka, International Water Management Institute
28. Smith PM, Kalluri S, Prince S, Defries R (1997) The NOAA NASA pathfinder AVHRR 8 km land data set. Photogramm Eng Remote Sens 63:12–31
29. Stein A (2008) Modern developments in image mining, science in China Series E. Technol Sci 51:13–25
30. Stein A, Hamm NAS, Ye Q (2009) Handling uncertainties in image mining for remote sensing studies. Int J Remote Sens 30:5365–5382
31. Swenson S, Wahr J (2009) Monitoring the water balance of lake Victoria, east Africa, from space. J Hydrol 370:123–176
32. Tadesse T, Brown JF, Hayes MJH (2005) A new approach for predicting drought-related vegetation stress: integrating satellite, climate, and biophysical data over the U.S. central plains. ISPRS J Photogramm Remote Sens 59(4):244–253
33. Tadesse T, Haile M, Senay G, Brian D, Cody W, Knutson L (2008) The need for integration of drought monitoring tools for proactive food security management in sub-saharan Africa. Nat Res Forum 32:265–279
34. Thiruvengadachari S, Gopalkrishana HR (1993) An integrated PC environment for the assessment of drought. Int J Remote Sens 14:3201–3208
35. Thorton P, Jones P, Alagarswamy G, Andresen J (2009) Spatial variation of crop yield response to climate change in East Africa. Glob Environ Change 19:54–65
36. Tucker C (1979) Red and photographic infrared linear combinations for monitoring vegetations. Remote Sens Environ 8:127–150
37. Tucker C, Stenseth NC (2005) Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends Ecol Evol 20(9):503–510
38. UNCCD (United Nations Convention to Combat Desertification) (1999) Article 1. United Nations, Bonn, Germany
39. UNEP (United Nations Environment Programme) (2006) Climate Change and Variability in the Sahel Region: Impacts and Adaptation Strategies in the Agricultural Sector http://www.unep.org/Themes/Freshwater/Documents/pdf/ClimateChangeSahelCombine.pdf, verified on July 12, 2010
40. Ungani L, Kogan F (1998) Drought monitoring and corn yield estimation in southern Africa from AVHRR data. Remote Sens Environ 63:219–232
41. UNISDR (United Nations Secretariat of the International Strategy for Disaster Reduction) (2009) Drought risk reduction framework and practices. Contributing to the implementation of the hyogo framework for action. Geneva, Switzerland
42. Wilhite DA (2000) Drought as a natural hazard: Concepts and definition. In: Wilhite DA (ed) Drought: a global assessment, natural hazard and disasters series. Routledge Publishers, London, pp 3–18
43. Wilhite DA (2005) Drought and water crisis: science, technology and management issues. Taylor and Francis Group, London
44. Worboys M, Hilary M, Hearnshaw M, Maguire D (1990) Object-oriented data modeling for spatial databases. Int J Geogr Inf Syst 4:369–383