Lidar-derived snow depth maps along the Chilean Extratropical Andes, winter 2018

<p>All the files included here contain the data produced for the manuscript &quot;<strong>Spatial distribution and scaling properties of lidar-derived snow depth in the extratropical Andes</strong>&quot;, submitted for possible publication in Water Resources Research.&nbsp;Lidar measurements for snow-covered conditions were conducted on September 4th, August 9th, and October 25th 2018 in Tascadero, Las Bayas and Valle Hermoso, respectively. Each data acquisition was conducted using a Riegl VZ6000 long range scanner on dates with and without snow, using an angular resolution of 0.01&deg;.</p> <p>Lidar-derived maps are contained in the following files:</p> <p>SiteName_SD_TPI.txt (SiteName: Tascadero, Las Bayas, VH East or VH West).</p> <p>Where the file structure is as follows:</p> <p>X,Y,Z,SD,SLP,NOR,TPI04,TPI07,TPI15,TPI20,TPI30,TPI40,TPI50</p> <p>where Z is bare earth elevation (m a.s.l.), SD is snow depth, SLP is&nbsp;slope (&deg;), NOR is&nbsp;northness&nbsp;(&deg;) whereby 180 = north&nbsp;facing and 0 = south facing, TPIXX is the Topographic Position Index&nbsp;(TPI) computed for a search distance of XX m,&nbsp;whereby positive differences are convex landforms, and negative is concave. The magnitude of TPI indicates the scale of the relative concavity/convexity.</p> <p>Variogram results are contained in files .rsav with the following nomenclature:</p> <p>SiteName_X_TypeOfVariogram.rsav</p> <p>Where X can be SD (snow depth) or Z (bare earth topography), and the type of variogram can be omnidirectional or directional.</p>