Remote sensing and GIS techniques for land degradation monitoring and assessment in Niger

Claudio Conese; M. Benvenuti; Paola Grande; Maurizio Romani

doi:10.1117/12.332743

11 December 1998 Remote sensing and GIS techniques for land degradation monitoring and assessment in Niger

Claudio Conese, M. Benvenuti, Paola Grande, Maurizio Romani

Proceedings Volume 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology; (1998) https://doi.org/10.1117/12.332743
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

This work presents the results of the PEICRE project, which monitors desertification in Niger. A previous project (PIK), carried out various interventions between 1984 and 1996, in the region of the Keita village in Niger, in order to reduce the effects of the desertification and land degradation processes. The CeSIA Institute evaluated whether the field interventions achieved the expected results. A Landsat Thematic Mapper image of 1984 and a Spot Multispectral image of 1995, were used to compare the two different types of vegetation coverage. A second aspect of the developed work concerned the erosion analysis, using GIS techniques and multisource data integration models. Particularly, satellite, meteorological and terrain data were fused to estimate the potential erosion in the studied area in relation to different years. Accordingly, both the image processing and spectral classification procedures and the developed hydrological models will be described. The models were applied to data collected both before and after the project development and the results will be discussed in this paper, considering the effects of the project in the land degradation processes.

Citation Download Citation

Claudio Conese, M. Benvenuti, Paola Grande, and Maurizio Romani "Remote sensing and GIS techniques for land degradation monitoring and assessment in Niger", Proc. SPIE 3499, Remote Sensing for Agriculture, Ecosystems, and Hydrology, (11 December 1998); https://doi.org/10.1117/12.332743

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KEYWORDS

Vegetation

Earth observing sensors

Satellites

Atmospheric modeling

Geographic information systems

Data modeling

Image processing

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