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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Using both satellite data Cohrs, 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.

Cours de télédétection spatiale

Recent progress in remote sensing is promising significant advances in fluvial sciences particularly in the study of small teleddetection medium rivers. We present three examples.

A multispectral supervised classification has allowed for the production of a spatial distribution map of conifers along a 7 km river reach fig. Despite this progress, df studies have applied satellite remote sensing to a detailed characterisation of fluvial forms owing to still insufficient spatial resolution.

Therefore, this data clearly localises the impact of the dam on vegetation health. Remote Sensing of Environment Celle-ci permet le calcul de la teledetectoin 2D. Teeldetection order to assess antecedent structures, dendrochronological surveys were required. Bel Hadj Ali A. Supervised classification was used to segment the SPOT 5 image in three classes: Indeed, sensor resolutions are improving markedly thus allowing for narrower channels to be imaged and acquisition frequencies for airborne methods have also improved thus allowing for multi-annual surveys.


Agrandir Original png, 20k.

This has allowed for a sediment budget of the reach to be established tab. Gravel Bed Rivers 6. Earth Surface Processes and Landforms 31, Photogrammetric Record 16, Remote sensing is increasingly used in order to characterise river corridors.

For example, we discuss a study of morphological change following a sediment management teledetectiin aiming to redress the reach scale sediment deficit resulting from the construction of dams. Freshwater Biology 29, Le principe retenu repose sur le calcul de la semi-variance. Second, we show an example of grain-size mapping. Given the resolution of Landsat data it is not possible to detect individual trledetection units. When satellite data is unsuitable, airborne images can be used fig.

Following established methods Carbonneau et al. First, we discuss the lower Ain valley.

Furthermore, the temporal acquisition rate of data must be capable of sampling rapid change, sometimes on the order of a few hours post-flood. Earth Surface Processes and Landforms 32, This result illustrates the downstream structures for each dominant class and allows us to identify two principal domains: Annexe Abridged English version Remote sensing is increasingly used in order to characterise river corridors.

However, numerous factors can limit this application of remote sensing.

Once again we use high-resolution imagery obtained from the Pixy UAS. In general, small-scale river surfaces are characterised with airborne data. Our objective is to understand the geographic and geomorphologic drivers of this distribution. Satellite remote sensing data can only be successful if certain threshold conditions are met.

These field surveys confirm the presence of favourable conditions to the presence of woody debris fig. Etat de teledftection bande active en In the case of river environments, only UAS have the low deployment cost and required flexibility. However, the threshold conditions can be met xours we add additional data layers. These threshold conditions teleddtection that the remotes sensing data if of sufficient spatial and temporal resolution to adequately characterise the river and the surrounding floodplain.


In recent years, new satellite data has begun to offer data on metric e. Agrandir Original png, 17k.

CU-SIGETA | Centre universitaire SIG et Teledetection au Burkina Faso

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. Table des illustrations Titre Fig. Remote Sensing of the Environment 43, Our objective is to use SPOT 5 imagery in order to identify origin and retention points for the entire catchment. Active channel in Here we illustrate two key applications of high-resolution airborne data: GIS and remote sensing analyses.

Multitemporal data acquisitions have their own specific limitations which have resulted in very few studies.

NDVI longitudinal variation profile coefficient of variation calculated on ash and poplar data coverage on an image B. Tools in Fluvial Geomorphology.