Remote-sensing-based analysis of landscape change in the desiccated seabed of the Aral Sea—a potential tool for assessing the hazard degree of dust and salt storms

Author:

Löw F.,Navratil P.,Kotte K.,Schöler H. F.,Bubenzer O.

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Reference54 articles.

1. Atkinson, P. M., & Tatnall, A. R. L. (1997). Neural networks in remote sensing. International Journal of Remote Sensing, 18(4), 699–709.

2. Breckle, S. W., & Geldyeva, G. V. (2012). Dynamics of the Aral Sea in geological and historical times. In: Breckle, S.-W., Wucherer, W., Dimeyeva, L. A., & Ogar, N. P. (Eds.) Aralkum—a Man-Made Desert: The desiccated Floor of the Aral Sea (Central Asia), Ecological Studies. Berlin: Springer, 218:13–35.

3. Breckle, S.-W., & Wucherer, W. (2012). Climatic conditions in the Aralkum. In: Breckle, S.-W., Wucherer, W., Dimeyeva, L. A. & Ogar, N. P. (Eds.) Aralkum—a Man-Made Desert: The Desiccated Floor of the Aral Sea (Central Asia), Ecological Studies. Berlin: Springer, 218:49–72.

4. Breckle, S.-W., Wucherer, W., Agachanjanz, O., & Geldyer, B. (2001). The Aral Sea Crisis Region. In S.-W. Breckle, M. Veste, & W. Wucherer (Eds.), Sustainable land use in deserts (pp. 27–37). Berlin: Springer.

5. Briem, G. J., Benediktsson, J. A., & Sveinsson, J. R. (2002). Multiple classifiers applied to multisource remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 40(10), 2291–2299.

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