Supplement 1. A vector file of polygon fragment boundaries used in this study in KML format.

Abstract

<h2>File List</h2><div> <p><a href="CAO_kipuka_boundaries_20131204.kml">CAO_kipuka_boundaries_20131204.kml</a> (MD5: 9cd3a0afdd95797b21e41515140be36d) A polygon vector GIS layer of the fragment boundaries.</p> </div><h2>Description</h2><div> <p><b>Description</b></p> <p>These boundaries were computed using utilities packaged with the GDAL library (<a href="http://www.gdal.org/">http://www.gdal.org</a>) under the following methodology:</p> <ol> <li>We used gdalwarp and gdal_translate to stack the computed vegetation height and NDVI images onto the same grid at 2.0m resolution. Cubic spline interpolation as used.</li> <li>We used gdal_calc.py create a binary mask of cells meeting the following thresholds: Canopy height > 3.0 and NDVI > 0.7.</li> <li>We used gdal_sieve.py to groups less than 50 cells (0.02ha) with 8-connectedness.</li> <li>The remaining groups were polygonized using the utility gdal_polygonize.py</li> <li>Finally, the boundaries of these groups were rounded slightly using the -simplify flag of the ogr2ogr utility. Tolerance value (maximum distance segment can move when removing a node) was 2.0.</li> </ol> </div

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