Quantifying spatial complexity in submerged aquatic vegetation landscapes using remote sensing: Lessons from simulated and real landscapes
Arthur de Grandpré,
Christophe Kinnard,
Andrea Bertolo
Abstract:The spatial organization of vegetation has been shown to be a strong indicator of ecological state in multiple ecosystems. In this study, we analyze the relationships between spatial complexity metrics in submerged aquatic vegetation (SAV) landscapes, and we explore the potential of satellite remote sensing to quantify these metrics in submerged environments. To do so, we estimated an array of complexity metrics over both simulated and real SAV landscapes of contrasted spatial organization. All these landscape… Show more
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