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A satellite-based disturbance index algorithm for monitoring mitigation strategies effects on desertification change in an arid environment

  • Nasem Badreldin
  • Rudi Goossens
Original Article

Abstract

This research focuses on monitoring the desertification change as a result of mitigation and adaptation strategies in arid environmental condition. Exploring environmental hazards, specifically desertification development, is important for understanding loss of productivity in dry lands. Developing a new satellite-based algorithm for monitoring desertification in an arid environment delivers information useful in protecting the environment and mitigating natural hazards. A multi-temporal remote sensing data of MODerate resolution Imaging Spectroradiometer (MODIS) were used for estimating the Soil-Adjusted Vegetation Index (SAVI) and Land Surface Temperature (LST), based on monthly data during the years 2002, 2005, 2008 and 2011. The MODIS-based disturbance index (MBDI) was improved by estimating the long-term variation in the ratio of annual maximum composite LST and SAVI on a pixel-by-pixel basis. A significant correlation (r = −0.88; P < 0.001) was found between the mean-maximum SAVI and mean-maximum LST in the dry season. The response of the MBDI to land degradation was assessed by comparing the obtained soil salinity data to the algorithm outcomes. The results showed that the proposed new satellite-based algorithm has a high potential to detect the spatial extent of prime land degradation in an arid environment. Also, this algorithm was able to recognize the difference between the natural variability and instantaneous/non-instantaneous desertification symptoms in an arid environment. The mitigation strategies in the case study decreased the desertification development and combat the land degradation in the last decade.

Keywords

MODIS-based disturbance index algorithm Desertification Remote sensing Mitigation strategies effects Sinai Peninsula 

Notes

Acknowledgments

This research was supported by Agricultural Research and Development Fund (ARDF) in Egypt. We gratefully acknowledge U.S. National Aeronautics and Space Administration (NASA) and Earth Observing System (EOS) for the data support. We thank Dr. Constance Ellwood, Mrs. Christina Thomas and ir. Ali Youssef for their valuable suggestions, and the anonymous reviewers for their criticism that improved the manuscript.

References

  1. Aboelghar M, Ali A-R, Arafat S (2012) Spectral wheat yield prediction modeling using SPOT satellite imagery and leaf area index. Arab J Geosci. doi: 10.1007/s12517-012-0772-6 Google Scholar
  2. Adamo SB, Crews-Meyer KA (2006) Aridity and desertification: exploring environmental hazards in Jáchal, Argentina. Appl Geogr 26:61–85CrossRefGoogle Scholar
  3. Armah FA, Odoi JO, Yengoh GT et al (2010) Food security and climate change in drought-sensitive savanna zones of Ghana. Mitig Adapt Strateg Glob Chang 16:291–306CrossRefGoogle Scholar
  4. Badreldin N, Goossens R (2013) Monitoring land use/land cover change using multi-temporal Landsat satellite images in an arid environment: a case study of El-Arish, Egypt. Arab J Geosci. doi: 10.1007/s12517-013-0916-3 Google Scholar
  5. Bannari A, Morin D, Bonn F, Huete AR (1995) A review of vegetation indices. Remote Sens Rev 13:95–120CrossRefGoogle Scholar
  6. Carrow RN, Duncan RR (2012) Best management practices for saline and sodic turfgrass soils: assessment and reclamation. CRC Press, Taylor & Francis Group, FL, p 486Google Scholar
  7. Ci L, Yang X (2009) Desertification and its control in China. Higher Education Press and Springer, Beijing and Dordrecht, p 533Google Scholar
  8. Coops NC, Wulder MA, Iwanicka D (2009) Large area monitoring with a MODIS-based Disturbance Index (DI) sensitive to annual and seasonal variations. Remote Sens Environ 113:1250–1261CrossRefGoogle Scholar
  9. Dames, Moore (1981) Sinai development study—phase 1: land classification and capability in Sinai. 167Google Scholar
  10. Dawelbait M, Morari F (2012) Monitoring desertification in a Savannah region in Sudan using Landsat images and spectral mixture analysis. J Arid Environ 80:45–55CrossRefGoogle Scholar
  11. Diouf A, Lambin EF (2001) Monitoring land-cover changes in semi-arid regions: remote sensing data and field observations in the Ferlo, Senegal. J Arid Environ 48:129–148CrossRefGoogle Scholar
  12. D’Odorico P, Bhattachan A, Davis KF et al (2013) Global desertification: drivers and feedbacks. Adv Water Resour 51:326–344CrossRefGoogle Scholar
  13. FAO (2005) Fertilizer use by crop in Egypt, land and plant nutrition management service land and water development division. Rome, p 62Google Scholar
  14. Galal ME (2004) Estimating soil hydraulic parameters in El-Tina plain using RETC program. International Conf. on Water Resources & Arid Environment. p 5Google Scholar
  15. Grainger A, Smith MS, Squires VR, Glenn EP (2000) Desertification and climate change: the case for greater convergence. Mitig Adapt Strateg Glob Chang 5:361–377CrossRefGoogle Scholar
  16. Greenwood NH (1997) The Sinai: a physical geography. University of Texas Press, Austin, p 148Google Scholar
  17. Gunderson LH (2000) Ecological resilience—in theory and application. Annu Rev Ecol Syst 31:425–439. doi: 10.1146/annurev.ecolsys.31.1.425 CrossRefGoogle Scholar
  18. Hall FG, Townshend JR, Engman ET (1995) Status of remote sensing algorithms for estimation of land surface state parameters. Remote Sens Environ 51:138–156CrossRefGoogle Scholar
  19. Harris N (2003) Atlas of the world’s deserts. Taylor and Francis, New York, p 359Google Scholar
  20. Hassan MAE-RAE-A (2002) Environmental studies on coastal zone soils of the north Sinai peninsula (Egypt) using remote sensing techniques. Technischen Universität Carolo-Wilhelmina, p 247Google Scholar
  21. Hermas E, Leprince S, El-Magd IA (2012) Retrieving sand dune movements using sub-pixel correlation of multi-temporal optical remote sensing imagery, northwest Sinai Peninsula, Egypt. Remote Sens Environ 121:51–60CrossRefGoogle Scholar
  22. Herrmann SM, Anyamba A, Tucker CJ (2005) Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Global Environ Chang 15:394–404CrossRefGoogle Scholar
  23. Huete A (1988) A soil-adjusted vegetation index (SAVI). Remote Sens Environ 25:295–309CrossRefGoogle Scholar
  24. Kaiser MF (2009) Environmental changes, remote sensing, and infrastructure development: the case of Egypt’s East Port Said harbour. Appl Geogr 29:280–288CrossRefGoogle Scholar
  25. Kassas M (1977) Arid and semi-arid lands: problems and prospects. Agro-Ecosystems 3:185–204CrossRefGoogle Scholar
  26. Kassas M (1995) Desertification: a general review. J Arid Environ 30:115–128CrossRefGoogle Scholar
  27. Kepner WG, Rubio JL, Mouat DA, Pedrazzini F (2006) Desertification in the Mediterranean Region. A Security Issue. Proceedings of the NATO Mediterranean Dialogue Workshop on Desertification in the Mediterranean Region. A Security Issue. Springer, Dordrecht, p 606CrossRefGoogle Scholar
  28. Kottek M, Grieser J, Beck C et al (2006) World Map of the Köppen-Geiger climate classification updated. Meteorol Z 15:259–263CrossRefGoogle Scholar
  29. Laity J (2008) Deserts and desert environments. Wiley, Chichester, p 357Google Scholar
  30. Mildrexler DJ, Zhao M, Heinsch FA, Running SW (2007) A new satellite-based methodology for continental-scale disturbance detection. Ecol Appl Publ Ecol Soc Am 17:235–250Google Scholar
  31. Misra A (2013) Climate change impact, mitigation and adaptation strategies for agricultural and water resources, in Ganga Plain (India). Mitig Adapt Strateg Glob Chang 18:673–689CrossRefGoogle Scholar
  32. Natural Resources Conservation Service (NRCS) (1999) Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys, 2nd ed. United States Department of Agriculture (USDA), Washington, p 871Google Scholar
  33. Nawar S, Reda M, Farag F, El-nahry A (2011) Mapping soil salinity in El-Tina plain in Egypt using geostatistical approach. Geoinformatics Forum, Salzburg, pp 81–90Google Scholar
  34. Nemani R, Running S (1997) Land cover characterization using multitemporal red, near-IR, and thermal-IR data from NOAA/AVHRR. Ecol Appl 7:79–90CrossRefGoogle Scholar
  35. North Sinai Governorate (2011) North Sinai (Arabic), El-Arish, Egypt, p 20Google Scholar
  36. Othman AA, Rabeh SA, Fayez M et al (2012) El-Salam canal is a potential project reusing the Nile Delta drainage water for Sinai desert agriculture: Microbial and chemical water quality. J Adv Res 3:99–108CrossRefGoogle Scholar
  37. Peel MC, Finlayson BL, Mcmahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrol Earth Syst Sci 11:1633–1644Google Scholar
  38. Pickett STA, White PS (1987) The ecology of natural disturbance and patch dynamics. Academic, New York, p 472Google Scholar
  39. Rengasamy P (2006) World salinization with emphasis on Australia. J Exp Bot 57:1017–1023CrossRefGoogle Scholar
  40. Richards JA (2013) Remote sensing digital image analysis: an Introduction, 5th edn. Springer, Heidelberg, p 494CrossRefGoogle Scholar
  41. Salinas C, Mendieta J (2012a) The cost of mitigation strategies for agricultural adaptation to global change. Mitig Adapt Strateg Glob Chang :1–9. doi:  10.1007/s11027-012-9400-8
  42. Salinas CX, Mendieta J (2012b) Effectiveness of the strategies to combat land degradation and drought. Mitig Adapt Strateg Glob Chang. doi: 10.1007/s11027-012-9421-3 Google Scholar
  43. Salinas CX, Mendieta J (2012c) Mitigation and adaptation investments for desertification and climate change: an assessment of the socioeconomic return. Mitig Adapt Strateg Glob Chang. doi: 10.1007/s11027-012-9380-8 Google Scholar
  44. Stiles D (1984) Desertification: the time for action. Environmentalist 4:93–96CrossRefGoogle Scholar
  45. Thomas DSG (2011) Arid environments: their nature and extent. Arid Zone Geomorphology. John Wiley & Sons, Ltd, pp 1–16Google Scholar
  46. Tilman D (1985) The resource-ratio hypothesis of plant succession. Am Nat 125:827–852CrossRefGoogle Scholar
  47. U.S. Geological Survey (2011a) Vegetation indices monthly L3 global 1km. URL. https://lpdaac.usgs.gov/products/modis_products_table/mod13a3
  48. U.S. Geological Survey (2011b) Surface reflectance 8-day L3 global 250m. URL. https://lpdaac.usgs.gov/products/modis_products_table/mod09Q1
  49. U.S. Geological Survey (2011c) Global multi-resolution terrain elevation data 2010 (GMTED2010). URL. http://eros.usgs.gov/#/Find_Data/Products_and_Data_Available/GMTED2010
  50. U.S. Salinity Laboratory (1954) Diagnosis and Improvement of saline and alkali soils, handbook 6. U.S. Government Printing Office, Washington, p 172Google Scholar
  51. Wang XD, Zhong XH, Liu SZ et al (2008) Regional assessment of environmental vulnerability in the Tibetan Plateau: development and application of a new method. J Arid Environ 72:1929–1939CrossRefGoogle Scholar
  52. Weng Q (2002) Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and stochastic modelling. J Environ Manage 64:273–284CrossRefGoogle Scholar
  53. WFP (2006) Country programme-Egypt (2007–2011). Rome, p25Google Scholar
  54. Yang J, Weisberg PJ, Bristow NA (2012) Landsat remote sensing approaches for monitoring long-term tree cover dynamics in semi-arid woodlands: comparison of vegetation indices and spectral mixture analysis. Remote Sens Environ 119:62–71CrossRefGoogle Scholar
  55. Zahran MA, Willis AJ (2009) The vegetation of Egypt, 2nd edn. Springer, Heidelberg, p 451Google Scholar
  56. Zar JH (2010) Biostatistical analysis, 5th edn. Prentice Hall, New Jersey, p 960Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of GeographyGhent UniversityGhentBelgium

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