Surface morphological attributes derived from an Unmanned Aerial Vehicle (UAV)
datasetposted on 01.01.2017 by MV Peppa, JP Mills, P Moore, PE Miller, JE Chambers
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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.