Surface morphological attributes derived from an Unmanned Aerial Vehicle (UAV)
datasetposted on 01.01.2017, 00:00 authored by MV Peppa, JP Mills, P Moore, PE Miller, JE Chambers
Data repository in support of Peppa et al. (2017) "Brief communication: Landslide motion from cross correlation of UAV-derived morphological attributes", Nat. Hazards Earth Syst. Sci. An analysis of image-cross-correlation with surface morphological attributes firstly with synthetic datasets and then with real observations is presented in this paper. The data included here are: 1) Synthetic DEMs and surface morphological grids of shaded relief, slope, openness and curvature; 2) Signal-to-Noise Ratio (SNR) grids over stable terrain derived from COSI-Corr with synthetic datasets; 3) 2-D displacements at sample points and 2-D displacements generated from COSI-Corr with openness; 4) Surface horizontal displacements and elevation differences over a landslide; 5) DEMs and openness grids for UAV campaigns.