/* DATA DESCRIPTION:
Citation:	Fassnacht, Steven R; Herrero, Javier (2026): Sierra Nevada Spain Snow Surface Data at the Ski Area 2024 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.989349
Abstract:	We collected snow surface data on 2024-04-19 at the Sierra Nevada (Spain) ski area focusing on a groomed ski slope and an adjacent, natural (ungroomed) area. We used a 60-cm long snow roughness board and an iPad with the 3-D Scanner app to create two and three dimensional representations of the surface, respectively. The resolution of the snow roughness board and iPad scanning are about 0.2 mm and 1.5 cm. The roughness board is orange with a black edge. At each location, the snow roughness board were inserted into the snow so that the interface of the snow surface was highlighted by the orange of the roughness board. This interface was photographed and the raw snow roughness board are those images. The iPad scanning covered a 2-m wide swath over a 15-meter length. The data are in ASCII format as relative location (X,Y,Z) and colour (R,G,B).
Keyword(s):	dust-on-snow; iPad scanning; piste; roughness boards; ski area grooming; snow; snow roughness; sun cups
Related to:	Fassnacht, Steven R; Herrero, Javier; Sanow, J E (submitted): Ski Resort Snow Surface Roughness. Glacies
Funding:	University of Granada (URI: http://www.ugr.es/), grant/award no. UGR OTRI-6429: SUBLIMA
Coverage:	LATITUDE: 37.071574 * LONGITUDE: -3.393181
	DATE/TIME START: 2024-04-19T09:56:00 * DATE/TIME END: 2024-04-19T11:53:00
Event(s):	ES-SN_ski_area_snow_roughness * LATITUDE: 37.071574 * LONGITUDE: -3.393181 * DATE/TIME: 2024-04-19T00:00:00
Parameter(s):	File name (File name) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	File type (File type) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	DATE/TIME (Date/Time) * GEOCODE * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	Location (Location) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	Comment (Comment) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	File content (Content) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	Image (IMAGE) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
	ASCII file (ASCII) * PI: Fassnacht, Steven R (https://orcid.org/0000-0002-5270-8049, steven.fassnacht@colostate.edu, https://sites.warnercnr.colostate.edu/srf/)
License:	Creative Commons Attribution 4.0 International (CC-BY-4.0) (URI: https://creativecommons.org/licenses/by/4.0/)
Status:	Curation Level: Enhanced curation (URI: https://wiki.pangaea.de/wiki/Curation_levels)
Size:	64 data points
Files:	All files referred to in data matrix can be downloaded in one go as ZIP <https://download.pangaea.de/dataset/989349/allfiles.zip> or TAR <https://download.pangaea.de/dataset/989349/allfiles.tar> (PANGAEA user account required). To download single files, use the filename from data matrix appended to "https://download.pangaea.de/dataset/989349/files/".
*/
File name	File type	Date/Time	Location	Comment	Content	IMAGE	ASCII
SN_roughness_PT1_2024-04-19_1040.jpg	JPEG file	2024-04-19T10:40:00	location 1	groomed piste (PT) parallel to grooming (S to N orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_PT1_2024-04-19_1040.jpg	
SN_roughness_PT2_2024-04-19_1043.jpg	JPEG file	2024-04-19T10:43:00	location 2	groomed piste (PT) parallel to grooming (S to N orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_PT2_2024-04-19_1043.jpg	
SN_roughness_PB1_2024-04-19_1046.jpg	JPEG file	2024-04-19T10:46:00	location 1	perpendicular to grooming (W to E orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_PB1_2024-04-19_1046.jpg	
SN_roughness_PB2_2024-04-19_1048.jpg	JPEG file	2024-04-19T10:48:00	location 2	perpendicular to grooming (W to E orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_PB2_2024-04-19_1048.jpg	
SN_roughness_NN_WE1_2024-04-19_1050.jpg	JPEG file	2024-04-19T10:50:00	location 1	Ungroomed Natural (NN) (W to E orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_NN_WE1_2024-04-19_1050.jpg	
SN_roughness_NN_WE2_2024-04-19_1053.jpg	JPEG file	2024-04-19T10:53:00	location 2	Ungroomed Natural (NN) (W to E orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_NN_WE2_2024-04-19_1053.jpg	
SN_roughness_NN_SN1_2024-04-19_1056.jpg	JPEG file	2024-04-19T10:56:00	location 1	Ungroomed Natural (NN) (S to N orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_NN-SN1_2024-04-19_1056.jpg	
SN_roughness_NN_SN2_2024-04-19_1058.jpg	JPEG file	2024-04-19T10:58:00	location 2	Ungroomed Natural (NN) (S to N orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_NN-SN2_2024-04-19_1058.jpg	
SN_roughness_NS1_2024-04-19_1153.jpg	JPEG file	2024-04-19T11:53:00	location 1	Natural Suncups (NS) (W to E orientation)	snow roughness board image (Samsung SM-A536U1 16MP 4624x3468 pixels, ISO50, 24 mm) - inside red of board is 600 mm wide (HHMM in UTC on 2024-04-19 in image name)	SN_roughness_NS1_2024-04-19_1153.jpg	
SN_iPad_scan2024-04-19_0956_data.XYZ	ASCII file	2024-04-19T09:56:00		swath across the four zones groomed, sun cups, dust, sun cups [26 mm native resolution]	"iPad lidar scan using 3dScannerApp; contains relative location (X,Y,Z) and colour (R,G,B)."		SN_iPad_scan2024-04-19_0956_data.xyz
SN_iPad_scan2024-04-19_0956_image.png	PNG file			iPad screenshot of SN_iPad_scan2024-04-19_1156_data.XYZ in 3dScannerApp	iPad lidar scan using 3dScannerApp	SN_iPad_scan2024-04-19_0956_image.png	
