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Elevation: {{selectedFeature.elev}} m

Roughness: {{selectedFeature.roughness}}

Slope: {{selectedFeature.slopedeg}} °

Azimuth: {{selectedFeature.azimuth / 100}} °

Potential light (spring): {{selectedFeature.sunspring}} W/m²

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Artificial light: {{selectedFeature.light / 2.55 | number:1}} %

Distance to a road: {{selectedFeature.dst_road}} m

Distance to a rail: {{selectedFeature.dst_rail}} m

Distance to a river: {{selectedFeature.dst_river}} m

Distance to a forest: {{selectedFeature.dst_forest}} m

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Ecotope database v2.10 (2006, 2015) :


Ecotope documentation is available here

The landscape has been divided into ecotopes based on automated delineation taking remote sensing data and topography as input variables. More details are available in this paper.

The v2.7 dataset has been validated. The results have been published in "Good practices for Object-based Accuracy assessment" (2017), which also documents the thematic legend.

The land cover proportions inside ecotopes are based on a 2-m pixel based classification. The v2.10 validation has not been published but a point-based accuracy assessment was performed on the input land cover data, revealing a 94.5 percent overall accuracy (2015). More details in this technical report.

The raw pixel-based classifications can be downloaded for 2006 and 2015.

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