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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
Campbell JB (2007) Introduction to remote sensing. Taylor & Francis, New York, 626 p
Abdellaoui A (1989) Développement et télédétection des ressources naturelles au Maghreb Central Télédétection en francophonie. AUPELF-UREF John Libbey Eurotext, Paris. Linsenbarth A (1996) A
Lyalko VI, Popov MO (eds) (2006) Multi-spectral remote sensing for nature management. Naukova dumka, Kiev, 360 p
Web 1 (2010) http://www.crts.gov.ma/desertification/forma_suivi_global.pdf
Web 2 (2010) http://www.ucam.ac.ma/cners/
Web 3 (2010) http://doc.abhatoo.net.ma/doc/img/pdf/desertification-2.pdf
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 32:416–426
Chauhan N (2002) Soil moisture inversion at L-band using dual-polarization technique: A model based sensitive analysis. Int J Remote Sens 23:3209–3227
Sakhatsky AI (2006) Satellite data application for the water exchange modeling in geosystems (Ukrainian). Proc NAS Ukraine 4:118–126
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 4730:319–323
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)
Acknowledgement
This research was supported by the NATO Science for Peace and Security (SPS) Programme, Grant Reference SPS MD SFP 984085.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer Science+Business Media B.V.
About this paper
Cite this paper
Popov, M.A., Stankevich, S.A., Sakhatsky, A.I., Bah, M.O.E., Mezzane, D., Luk’yanchuk, I.A. (2011). Satellite Desertification Monitoring in Sahara. In: Kogan, F., Powell, A., Fedorov, O. (eds) Use of Satellite and In-Situ Data to Improve Sustainability. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9618-0_27
Download citation
DOI: https://doi.org/10.1007/978-90-481-9618-0_27
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-9617-3
Online ISBN: 978-90-481-9618-0
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)