Multitemporal classification of TerraSAR-X data for wetland vegetation mapping

Betbeder Julie, Rapinel Sébastien, Corpetti Thomas, Pottier Eric, Corgne Samuel, Hubert-Moy Laurence. 2014. Multitemporal classification of TerraSAR-X data for wetland vegetation mapping. Journal of Applied Remote Sensing, 8 (1):083648, 17 p.

https://doi.org/10.1117/1.JRS.8.083648

Article de revue ; Article de recherche ; Article de revue à facteur d'impact

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Quartile : Q3, Sujet : IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY / Quartile : Q3, Sujet : ENVIRONMENTAL SCIENCES / Quartile : Q4, Sujet : REMOTE SENSING

Résumé : This paper is concerned with wetland vegetation mapping using multitemporal synthetic aperture radar imagery. Although wetlands play a key role in controlling flooding and nonpoint source pollution, sequestering carbon and providing an abundance of ecological services, knowledge of the flora and fauna of these environments is patchy, and understanding of their ecological functioning is still insufficient for a reliable functional assessment on areas larger than a few hectares. The aim of this paper is to evaluate multitemporal TerraSAR-X imagery to precisely map the distribution of vegetation formations considering flood duration. A series of six dual-polarization TerraSAR-X images (HH-VV) was acquired in 2012 during dry and wet seasons. One polarimetric parameter, the Shannon entropy (SE), and two intensity parameters (σ° HH and σ° VV), which vary with wetland flooding status and vegetation roughness, were first extracted. These parameters were then classified using support vector machine techniques based on a specific kernel adapted to the comparison of time-series data, K-nearest neighbors, and decision tree (DT) algorithms. The results show that the vegetation formations can be identified very accurately (kappa index=0.85) from the classification of SE temporal profiles derived from the TerraSAR-X images. They also reveal the importance of the use of polarimetric parameters instead of backscattering coefficients alone (HH or VV) or combined (HH and VV).

Mots-clés Agrovoc : terre humide, végétation, écologie, imagerie par satellite, télédétection, Radar à synthèse d'ouverture, plaine d'inondation

Mots-clés géographiques Agrovoc : Bretagne, France

Mots-clés libres : Wetlands, Synthetic aperture radar, TerraSAR-X imagery, Multitemporal classifications, Support vector machine classifier

Classification Agris : F40 - Écologie végétale
U30 - Méthodes de recherche
P01 - Conservation de la nature et ressources foncières

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

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