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Proceedings Paper

Application of remote sensing technology for estimating soil roughness for hydrological modeling and their integration into GIS
Author(s): Naima Aqid; B. Slak; M. D. Hasnaoui; A. Touzani; D. Ouazar; G. Marcelloni
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Paper Abstract

The knowledge of the resistance of overland flow is an integral and necessary part of modeling runoff in arid land. The arid overland flow is affected by land cover especially composed by stubs and variability of stone cover. Radar SAR images and Optics remotely sensed data offer spatial and temporal information of large variety of environmental procedures which determine land surface process. An experiment aimed at evaluating the potential of these technology is arid area was carried out within the framework of the EC project FLAUBERT (Flood in Arid Unites By Earth Remote sensing Techniques). The measurements of soil irregularities by the mean of a pin profilometer have permitted the evaluation of the Manning roughness resistance which is an important input to hydrological models (Kineros, etc). Analysis of coherence maps showed a separation between few land classes and to point out some variations due to vegetation cycles. Geographical Information System GIS technologies offer many new opportunities for hydrological modeling. These technologies are used to increase the degree of definition of spatial subunits numbers and description details and to form spatially distributed models of watershed. GIS-hydrological model coupling offers also the potential of multidisciplinary data management and provide interface between the models and their users.

Paper Details

Date Published: 28 January 2002
PDF: 8 pages
Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); doi: 10.1117/12.454213
Show Author Affiliations
Naima Aqid, Univ. Mohammed V (Morocco)
B. Slak, Ecole Mohammadia d'Ingenieurs (Morocco)
M. D. Hasnaoui, Direction Generale d'Hydraulique (Morocco)
A. Touzani, Ecole Mohammadia d'Ingenieurs (Monaco)
D. Ouazar, Ecole Mohammadia d'Ingenieurs (Morocco)
G. Marcelloni, Univ. degli Studi di Firenze (Italy)


Published in SPIE Proceedings Vol. 4542:
Remote Sensing for Agriculture, Ecosystems, and Hydrology III
Manfred Owe; Guido D'Urso, Editor(s)

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