Not undercover but on the cover: We were selected as cover story of the ISPRS International Journal of Geo-Information, Volume 6, Issue 11.
In our research on “Historic Low Wall Detection via Topographic Parameter Images Derived from Fine-Resolution DEM“, we apply rapid landscape line detection to extract historic vegetable garden walls based on topographic information from a LiDAR-derived high-resolution digital elevation model (DEM). The spatial information on slope, curvature, and openness enables the identification of the location of anthropogenic landscape features. Three rapid processes used in this study include the derivation of topographic parameters, line extraction and aggregation. Results show that wall line detection with multiple topographic parameter images is a simple means of obtaining essential historic wall feature information. The aggregation of three individual detection results from slope, curvature, and openness increases the accuracy of identification of historic anthropogenic features. Further research will consider the unmanned aerial vehicle for collecting point clouds and spectral information of image photos. View the paper