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Environmental evaluation of MODIS-derived land units

Bisquert M., Bégué A., Deshayes M., Ducrot D.. 2017. GIScience and Remote Sensing, 54 (1) : p. 64-77.

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 : stratification; méthode statistique; gestion des ressources naturelles; utilisation des terres; topographie; télédétection; radiomètre avancé a très haute résolution; cartographie de l' utilisation des terres; cartographie de l'occupation du sol; couverture végétale; france

Thématique : Méthodes de relevé; Levée et cartographie des sols; Géographie; Conservation de la nature et ressources foncières; Méthodes mathématiques et statistiques

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