Exploring Snow and Land Surface Temperature Data in AppEEARS

February 02, 2017
View of La Tania Ski Resort in the French Alps taken in February 2014.
View of La Tania Ski Resort in the French Alps taken in February 2014.

Taniaho / flickr.com / CC by SA 2.0

Les Trois Valléesor Three Valleys, is considered the largest ski area in the world, with around 600 kilometers of ski slopes connected by 183 ski lifts. The ski area is high in the French Alps, ranging from around 600 meters all the way up to 3,230 meters above sea level. One of the resorts located in the valley is called La Tania, pictured at right. La Tania Ski Resort was used notably in the 1992 Winter Olympics. By late autumn, ski enthusiasts anxiously awaiting a new skiing season keep an eye on the weather in this region—hoping for cold temperatures and, of course, snowfall.

A combination of datasets derived from MODIS, or the Moderate Resolution Imaging Spectroradiometer, can be used to assess a long-term record of ideal skiing conditions in the Alps—cold temperatures and snow cover. The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS), a web-based data extraction and visualization tool, can be used to explore Earth surface dynamics from MODIS datasets including land surface temperature and snow cover. Point samples can be ordered in AppEEARS by submitting a list of geographic coordinates for the desired location(s). Below are the results from requesting 16 years of daily Terra MODIS Land Surface Temperature (LST) data in addition to Terra MODIS-derived Daily Snow Cover data for a point on the slopes of La Tania.

Using the data visualizations in AppEEARS, it is easy to observe skiing conditions from previous years by looking at daily daytime Terra MODIS Daily Land Surface Temperature data (MOD11A1) are distributed by the Land Processes Distributed Active Archive Center (LP DAAC). LST data and the Normalized Difference Snow Index (NDSI) daily snow cover data for a point over La Tania Ski Resort. Note that daily LST is measured in Kelvin, and NDSI is described as percent of the pixel (500 meters) covered in snow. The first image below shows the distinct seasonality of snow cover at La Tania and the periods that have more frequent snow cover between 2000 and 2016. This long term data archive can also be useful for looking at the overall trend in snow cover over this time period. The second image below demonstrates the inverse relationship between LST and NDSI—which explains why skiers watch the weather in hopes of colder temperatures and potential snowfall, which allow for the snow cover needed at the ski resorts. The third image below highlights the 2015-2016 ski season, where La Tania opened on December 5, 2015, and closed on April 17, 2016. These dates coincide closely with the presence/absence of snow as seen from the MODIS daily snow cover data. AppEEARS data visualizations offer a great starting point from which to explore the available data for your area of interest. Results from AppEEARS requests are also available for download, giving users their desired data at their fingertips in order to conduct more in-depth analysis.

Terra MODIS Daily Snow Cover data (MOD10A1) are distributed by the National Snow and Ice Data Center (NSIDC) DAAC.

References: 

The3Valleys, 2016, 2016 Season Dates, accessed January 04, 2017, at http://www.the3valleys.com/news/2016-season-dates.html.

Les3Vallées, 2017, La Tania, accessed January 04, 2017, at http://www.les3vallees.com/en/ski-resort/la-tania.

Watts, D. and Gill, C., The world’s biggest ski resorts, accessed January 04, 2017, at http://www.telegraph.co.uk/travel/ski/articles/The-worlds-biggest-ski-resorts/.

Morris, H., 2015, Lack of snow causes concern in the Alps, accessed January 04, 2017, at http://www.telegraph.co.uk/travel/ski/news/Warm-slow-start-to-snow-in-the-Alps-causes-concern/.

Hall, D. K. and Riggs, G. A. 2016, MODIS/Terra Snow Cover Daily L3 Global 500m Grid, Version 6. [NDSI_Snow_Cover]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center, at http://dx.doi.org/10.5067/MODIS/MOD10A1.006. [01-04-2017].

 

Material written by Cole Krehbiel1

Innovate!, Inc., contractor to the U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, USA. Work performed under USGS contract G15PD00766 for LP DAAC2.

LP DAAC work performed under NASA contract NNG14HH33I.