Menu des cours. Calendrier des cours · Cours de Télédétection · Cours de SIG · Cours de GPS. Course. No course has been selected. Please selected a course . Lillesand T.M. and Kiefer R.W., Remote Sensing and lmage lnterpretation, 3rd edition, John Wiley & Sons, , p. Monget J.-M., Cours de teledetection. Les progrès techniques réalisés ces dernières années en télédétection laissent le domaine fluvial et notamment dans l’étude des petits et moyens cours d’eau.

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Tools in Fluvial Geomorphology. Table des illustrations Titre Fig.

This reach contains two injection sites: Here we illustrate two key applications of high-resolution airborne data: This structural difference provides a partial explanation to the spatial distribution of woody debris. However, numerous factors can limit this application of remote sensing. For example, we discuss a study of morphological change following a sediment management program aiming to redress the reach scale sediment deficit resulting from the construction of dams.

Hydrological Sciences Journal Our objective is to use SPOT 5 imagery in order to identify origin and retention points for the entire catchment. The main objective is to study sedimentation and eutrophication processes responsible for the infilling of oxbow lakes. Validation of this model is shown in fig.

This ground work was planned using QuickBird satellite data which has sufficiently high resolution to identify mature individual tree crowns. Le principe retenu repose sur le calcul de la semi-variance. Bel Hadj Ali A.

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Photogrammetric Record 16, GIS and remote sensing analyses. Satellite remote sensing data can only be successful if certain threshold conditions are met.

Using both satellite data SPOT, Landsat and QuickBird and UAV data, the paper will examine a range of temporal and spatial scales from river reaches exceeding ten kilometres to smaller reaches where human impacts have been diagnosed. This has allowed for a sediment budget of the reach to be established tab.

Abridged English version

The example follows the progress of this sediment through a 5 km reach. These maps have also allowed us to measure that the distance travelled by the sediment is between m to m thus demonstrating the use of imagery for the evaluation of river management works.

In the case of river environments, only UAS have the low deployment cost and required flexibility. Once again we use high-resolution imagery obtained from the Pixy UAS. Remote Sensing of Environment First, we discuss the lower Ain valley.

CERSAT – Cours de télédétection spatiale

La dynamique temporelle des corridors fluviaux. Remote Sensing of the Environment 43, This imagery shows well-defined, homogeneous grain-size patches present on the exposed gravel bars fig.

Agrandir Original png, 65k. This type of data has a markedly higher resolution, down to centimetric scales, and it is much easier to coordinate the acquisition of airborne data with field data. In general, small-scale river surfaces are characterised with airborne data. Water Resources ResearchArticle No.


Hydrological Processes Furthermore, satellite data can now be complemented by catchment scale high resolution airborne orthorectified imagery often collected by national agencies such as the IGN. Second, we show an example of grain-size mapping.

Cours de télédétection spatiale

Earth Surface Processes and Landforms 22, Remote sensing is increasingly used in order to characterise river corridors. Gravel Bed Rivers 6. Group, London, April, poster unpublished. Following established methods Carbonneau et al. Deux exemples illustrent ces propos.

This result illustrates the downstream structures for each dominant class and allows us to identify two principal domains: Geomorphology 55, Paper presented at the Braided Rivers Teledetecttion, Br. When satellite data is unsuitable, airborne images can be used fig.

These threshold conditions insure that the remotes sensing data if of sufficient spatial and temporal resolution to adequately characterise the river and the surrounding floodplain. Recent progress in remote sensing is promising significant advances in fluvial sciences particularly in the study of small and medium rivers.

Celle-ci permet le calcul de la semi-variance 2D. Using well-established methods Carbonneau et al.