Advertisement

Satellite Desertification Monitoring in Sahara

  • Mikhail A. PopovEmail author
  • Sergey A. Stankevich
  • Alexei I. Sakhatsky
  • Menny O. El Bah
  • Daoud Mezzane
  • Igor A. Luk’yanchuk
Conference paper
Part of the NATO Science for Peace and Security Series C: Environmental Security book series (NAPSC)

Abstract

Combating desertification in Sahara is important due to immense ­territory and lack of infrastructure. The objective of this article is the application of RS satellite methods for desertification monitoring in Sahara countries Mauritania and Morocco. It was demonstrated that RS methods is a useful tools to monitor desertification in Mauritania and Morocco. They require: dynamic nonlinear model of the ecosystem for long-time desertification forecast; database of the multi­spectral satellite images, thematic maps correlated with other geo-meteo-data; and passive microwave and optical satellite data fusion procedures.

Keywords

Desertification monitoring Microwave and optical data fusion 

Notes

Acknowledgement

This research was supported by the NATO Science for Peace and Security (SPS) Programme, Grant Reference SPS MD SFP 984085.

References

  1. ORMVAT Office of agriculture (2007) Monographie agricole de la region Meknès – Rafilalet”. http://www.aui.ma/enhanced/regionmeknes/html/monogr_de_la_rmt_oct_2007.pdf
  2. Campbell JB (2007) Introduction to remote sensing. Taylor & Francis, New York, 626 pGoogle Scholar
  3. Abdellaoui A (1989) Développement et télédétection des ressources naturelles au Maghreb Central Télédétection en francophonie. AUPELF-UREF John Libbey Eurotext, Paris. Linsenbarth A (1996) AGoogle Scholar
  4. Lyalko VI, Popov MO (eds) (2006) Multi-spectral remote sensing for nature management. Naukova dumka, Kiev, 360 pGoogle Scholar
  5. Chauhan N, LeVine D, Lang R (1994) Discrete scatter model for radar and radiometer response to corn: comparison of theory and data. IEEE Trans Geosci Remote Sens 32:416–426CrossRefGoogle Scholar
  6. Chauhan N (2002) Soil moisture inversion at L-band using dual-polarization technique: A model based sensitive analysis. Int J Remote Sens 23:3209–3227CrossRefGoogle Scholar
  7. Sakhatsky AI (2006) Satellite data application for the water exchange modeling in geosystems (Ukrainian). Proc NAS Ukraine 4:118–126Google Scholar
  8. Liu L, Zhang B, Xu G, Zheng L, Tong Q (2002) Vegetation classification and soil moisture ­calculation using land surface temperature (LST) and vegetation index (VI). Proc SPIE 4730:319–323CrossRefGoogle Scholar
  9. Popov MA, Stankevich SA, Sakhatsky AI, Kozlova AA (2008) Land cover contextual ­classification using space imagery for wetland and forest monitoring. Proceedings of the United Nations/Austria/European Space Agency Symposium Space Tools and Solutions for Monitoring the Atmosphere and Land Cover, Graz (Austria)Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Mikhail A. Popov
    • 1
    Email author
  • Sergey A. Stankevich
    • 1
  • Alexei I. Sakhatsky
    • 1
  • Menny O. El Bah
    • 2
  • Daoud Mezzane
    • 3
  • Igor A. Luk’yanchuk
    • 4
  1. 1.Scientific Centre for Aerospace Research of the Earth NAS of UkraineKievUkraine
  2. 2.University of NouakchottNouakchottMauritania
  3. 3.Cadi, Ayyad UniversityMarrakechMorocco
  4. 4.University of PicardyAmiensFrance

Personalised recommendations