Download Remote sensing for fuelwood resources and land degradation studies in Kordofan, the Sudan (Meddelanden fran Lunds universitets Geografiska institution) epub
by Katarina Olsson
Meddelanden fran Lunds Universitets Geografiska Institution, Avhandlingar (100): 182. 1985.
Meddelanden fran Lunds Universitets Geografiska Institution, Avhandlingar (100): 182. During 1981/82 a project, 'Monitoring wood resources and land degradation in Kordofan, the Sudan' was started at the Department of Physical Geography, University of Lund. One goal of the project was to work out a methodology, to a large extent based on remote sensing technology, for quantitative assessment of woody biomass in arid and semi-arid environments.
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LULC changes North Kordofan Sudan Remote sensing Landsat NDVI classification. Olsson K (1985) Remote Sensing for Fuelwood Resources and Land Degradation Studies in Kordofan, The Sudan. Adam R, Adams M, Willens A (1978) Dry lands: man and plants. The Architectural Press Ltd, LondonGoogle Scholar. Type, Lund University, LundGoogle Scholar. Robinson I (2012) Quasi Crop and Food Supply Assessment Mission to Sudan.
Land degradation is commonly perceived to be severe in many parts of semi arid China
Land degradation is commonly perceived to be severe in many parts of semi arid China. The transition towards market economy since the 1978 reforms, have set marginal dry lands under added pressure in the form of increased livestock numbers and expanding cultivation on erosive soils. For reasons like these, knowledge is described as the most important resource, and learning the most important process, for firms and organizations, as well as nations and regions, to become and remain competitive. In parallel with the forces of globalization there are however also strong forces of localization.
Remote sensing for fuelwood resources and land degradation studies in. Kordofan, the Sudan. Avhandlingar C: Meddelande från Lunds Universitets Geografiska. Pal, . & Mather, P. M. (2005). Support vector machines for classification in remote sensing. International Journal of Remote Sensing, 26(5), 1007-1011. (2006). Some issues in the classification of DAIS hyperspectral data. International Journal of Remote Sensing, 27(14), 2895-2916. Pal, N. & Pal, S. K. (1993).
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Remote Sensing Proceedings of the International Conference of GIS and Remote Sensing in Hydrology, Water Resources and Environment.
Remote Sensing Using remote sensing and GIS. advertisement. Proceedings of the International Conference of GIS and Remote Sensing in Hydrology, Water Resources and Environment, Three Gorges Dam site, China, 16-19 September 2003. Symeonakis, E. and N. Drake. Monitoring desertification and land degradation over sub-Saharan Africa. International Journal of Remote Sensing, 25, 3: 573-592. Symeonakis, . Calvo, A. and Arnau, . in press.
Author: Katarina Olsson
Publisher: Royal University of Lund, Sweden, Dept. of Geography (1985)
Pages: 182 pages
ePUB size: 1120 kb
FB2 size: 1932 kb
Other Formats: lrf mobi lit lrf