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Environmental evaluation of MODIS-derived land units

Bisquert Mar, Bégué Agnès, Deshayes Michel, Ducrot Danielle. 2017. Environmental evaluation of MODIS-derived land units. GIScience and Remote Sensing, 54 (1) : pp. 64-77.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q2, Sujet : GEOGRAPHY, PHYSICAL / Quartile : Q2, Sujet : REMOTE SENSING

Abstract : A land stratification of the French territory had been previously performed based on time series of vegetation and texture indices. This stratification led to 300 radiometrically homogenous regions that were considered as land units (LUs). In this paper, we present a quantitative analysis of the LUs, with the aim of testing if these LUs are linked to landscape. In this sense, an evaluation of their thematic meaning in terms of environmental variables and land cover was performed. In order to achieve this, we first conducted a statistical analysis at national scale using a set of environmental variables and land cover by means of Moran's autocorrelation index and Spearman rank correlation index. Second, to analyze the quality of the boundaries between neighboring LUs, we developed a method based on the Spearman rank correlation index calculated on test areas across the boundaries. The first analyses showed that the most explanatory variables of the LUs were land cover, topography and parent material. The boundaries analysis was applied at a regional scale (Pyrenean region), and showed that 89% of the boundaries were well explained by the land cover compositions. The results obtained support the hypothesis that time series of broad resolution remote-sensing images can capture landscape identities and produce LUs maps that have an environmental and land occupation sense. (Résumé d'auteur)

Mots-clés Agrovoc : Couverture végétale, Cartographie de l'occupation du sol, Cartographie de l' utilisation des terres, Radiomètre avancé a très haute résolution, Télédétection, Topographie, Utilisation des terres, gestion des ressources naturelles, Méthode statistique, Stratification

Mots-clés géographiques Agrovoc : France

Classification Agris : U30 - Research methods
P31 - Soil surveys and mapping
B10 - Geography
P01 - Nature conservation and land resources
U10 - Computer science, mathematics and statistics

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

Auteurs et affiliations

  • Bisquert Mar, IRSTEA (FRA)
  • Bégué Agnès, CIRAD-ES-UMR TETIS (FRA)
  • Deshayes Michel, IRSTEA (FRA)
  • Ducrot Danielle, CESBIO (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/583971/)

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