Application of remote sensing technology for estimating soil roughness for hydrological modeling and their integration into GIS

Naima Aqid; B. Slak; M. D. Hasnaoui; A. Touzani; D. Ouazar; G. Marcelloni

doi:10.1117/12.454213

28 January 2002 Application of remote sensing technology for estimating soil roughness for hydrological modeling and their integration into GIS

Naima Aqid, B. Slak, M. D. Hasnaoui, A. Touzani, D. Ouazar, G. Marcelloni

Author Affiliations +

Proceedings Volume 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III; (2002) https://doi.org/10.1117/12.454213
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

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.

Citation Download Citation

Naima Aqid, B. Slak, M. D. Hasnaoui, A. Touzani, D. Ouazar, and G. Marcelloni "Application of remote sensing technology for estimating soil roughness for hydrological modeling and their integration into GIS", Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); https://doi.org/10.1117/12.454213

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