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Detection and characterization of hedgerows using TerraSAR-X imagery

Betbeder Julie, Nabucet Jean, Pottier Eric, Baudry Jacques, Corgne Samuel, Hubert-Moy Laurence. 2014. Detection and characterization of hedgerows using TerraSAR-X imagery. Remote Sensing, 6 (5) : pp. 3752-3769.

Journal article ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
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Quartile : Q1, Sujet : REMOTE SENSING

Abstract : Whilst most hedgerow functions depend upon hedgerow structure and hedgerow network patterns, in many ecological studies information on the fragmentation of hedgerows network and canopy structure is often retrieved in the field in small areas using accurate ground surveys and estimated over landscapes in a semi-quantitative manner. This paper explores the use of radar SAR imagery to (i) detect hedgerow networks; and (ii) describe the hedgerow canopy heterogeneity using TerraSAR-X imagery. The extraction of hedgerow networks was achieved using an object-oriented method using two polarimetric parameters: the Single Bounce and the Shannon Entropy derived from one TerraSAR-X image. The hedgerow canopy heterogeneity estimated from field measurements was compared with two backscattering coefficients and three polarimetric parameters derived from the same image. The results show that the hedgerow network and its fragmentation can be identified with a very good accuracy (Kappa index: 0.92). This study also reveals the high correlation between one polarimetric parameter, the Shannon entropy, and the canopy fragmentation measured in the field. Therefore, VHSR radar images can both precisely detect the presence of wooded hedgerow networks and characterize their structure, which cannot be achieved with optical images.

Mots-clés Agrovoc : Haie, Plante de haie, Couvert, Écologie, Paysage, Imagerie par satellite, Radar à synthèse d'ouverture, Télédétection

Mots-clés géographiques Agrovoc : France, Bretagne

Mots-clés complémentaires : Bocage

Mots-clés libres : Linear hedgerow network, Canopy structure, Radar-SAR imagery, Very high resolution, Shannon entropy index

Classification Agris : K01 - Forestry - General aspects
U30 - Research methods
F40 - Plant ecology

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

Auteurs et affiliations

  • Betbeder Julie, Université de Rennes 2 (FRA) - auteur correspondant
  • Nabucet Jean, Université de Rennes 2 (FRA)
  • Pottier Eric, Université de Rennes I (FRA)
  • Baudry Jacques, INRA (FRA)
  • Corgne Samuel, Université de Rennes 2 (FRA)
  • Hubert-Moy Laurence, Université de Rennes 2 (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/595141/)

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