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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Hydrological Processes This structural difference provides a partial explanation to the spatial distribution of woody debris.

Cours de télédétection spatiale

In the case of river environments, only UAS have the low deployment cost and required flexibility. The example follows the progress of this sediment through a 5 km reach. Tools in Fluvial Geomorphology. GIS and remote vours analyses. Once again we use high-resolution imagery obtained from the Pixy UAS.

Agrandir Original png, k.

Agrandir Ckurs png, 29k. When satellite data is unsuitable, airborne images can be used fig. Landsat 7 TM data is used to examine the impact of a series of hydropower dams on the growth rates of riparian vegetation. Water Resources ResearchArticle No.


NDVI longitudinal variation profile coefficient of variation calculated on ash and poplar data coverage on an image B. 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. Remote Sensing of Environment In order to offset this limitation, field surveys were conducted in order courx localise woody debris.

This demonstrates an important downstream trend where incised, upstream, sectors are clearly distinct from the downstream, un-incised, sectors. Our objective is to understand the geographic and geomorphologic drivers of this distribution.

Abridged English version

As a result of these limitations, satellite remote sensing has only been teledeetction to large rivers and their catchments Muller et al. Multitemporal data acquisitions have their own specific limitations which have resulted in very few studies. Table des illustrations Titre Fig. The main objective is to study sedimentation and eutrophication processes responsible for the infilling of oxbow lakes.

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This new high-resolution data is available and better suited to the characterisation of intra-fluvial landscapes.

Therefore, this data clearly localises the impact of the dam on vegetation coues. However, the threshold conditions can be met if we add additional data layers. Deux exemples illustrent ces propos.

Validation of this model is shown in fig. Photogrammetric Record 16, Supervised classification was used to segment the SPOT 5 image in three classes: First, we discuss couurs lower Ain valley.

CERSAT – Cours de télédétection spatiale

Remote sensing is increasingly used in order to characterise river corridors. Freshwater Biology 29, Furthermore, the temporal acquisition rate of data must be capable of sampling rapid change, sometimes on the order of a few hours post-flood. Photogrammetric Engineering end remote sensing 67, Le principe retenu repose sur le calcul de la semi-variance.