The Role of Terrain Data

August 28, 2014
View of Mount Everest (far left) from the Tibetan Plateau by melanie_ko/Flickr/CC BY

View of Mount Everest (far left) from the Tibetan Plateau by melanie_ko/Flickr/CC BY

Terrain data, such as information about elevation, slope, and aspect, can play an integral part in many land change and management studies. These data are particularly useful in the form of digital elevation models (DEMs). Most simply, DEMs can be used to create 3-dimensional data visualizations, which provide an insightful perspective on landscapes. For more complex studies, DEMs can be used to map hazardous terrain, to calculate topographical features such as slope and aspect, and as an input variable for modelling landslides or snowmelt. Digital elevation data can be created from many different sources. The LP DAAC distributes terrain data from two different sources: (1) NASA’s Shuttle Radar Topography Mission (SRTM) version 3.0 (SRTM V3.0) and (2) the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Digital Elevation Model (GDEM) version 2.0 (ASTGTM; GDEM2).

SRTM V3.0 was funded by the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program. This version of SRTM data uses other DEM sources such as ASTER GDEM2, the USGS GMTED 2010, and the USGS National Elevation Database (NED) to fill in voids from radar data originally collected during a collaborative space shuttle mission in 2000. The SRTM V3.0 datasets provide coverage from 60oN latitude to 56oS latitude and have 3 arc second (~90 meter) or 1 arc second (~30 meter) resolution. Datasets with 3 arc second resolution are publically available for the entire coverage extent and were released in November 2013. One arc second data for the United States was also released in November 2013, but the global 1 arc second SRTM V3.0 product (SRTMGL1) has been made available to the public on a region by region basis over the past year. By the beginning of January 2015, 1 arc second SRTM V3.0 products had been released for nearly the entire product coverage area with the exception of the Middle East and parts of Africa. With the recent data releases of the higher resolution SRTM data, data users now have more options of high resolution elevation data for use in their studies and applications.

The ASTER GDEM2 dataset was created from nearly 1.6 million ASTER scenes collected by NASA’s Terra satellite between 2000 and 2010 and is a product of Japan’s Ministry of Economy, Trade, and Industry (METI) and NASA. The GDEM2 dataset was released in October 2011. The dataset has global coverage with approximately 30 meter resolution at the equator. An example of how elevation values from ASTER GDEM data were used is demonstrated by Yao and Zhang (2014). In this study, the authors quantify the year-round mass elevation effect of the Tibetan Plateau in southern China and explore the influence of the effect on the elevation of the Plateau’s alpine treeline. The Tibetan Plateau ranges from 4,000 – 6,000 meters (~13,123 – 19,685 feet) in elevation and serves as a heating source that influences both local and global climates. The authors compare air temperature values, estimated from monthly Terra MODIS land surface temperature and emissivity (MOD11C3) data, to treeline locations at defined elevations extracted from ASTER GDEM data. The authors find that air temperatures over the interior of the Tibetan Plateau are about 2 – 7oC (35.6 – 44.6oF) warmer, as compared to nearby mountain ranges. These warmer temperatures allow for trees to grow at higher elevations. The alpine treeline on the southeastern Tibetan Plateau has an elevation range of 4,700 – 4,900 meters (~15,420 – 16,076 feet), the highest in the Northern Hemisphere.

ASTER GDEM data of the area surrounding Lhasa on the Tibetan Plateau. ASTER GDEM data of the area surrounding Lhasa on the Tibetan Plateau, with color and hillshade applied.

Left Image: Original ASTER GDEM data of the area surrounding Lhasa on the Tibetan Plateau. Treelines in this area have one of the highest elevation ranges on the plateau (4,201 – 4,900 meters or 13,783 - 16,076 feet).

Granule ID:
ASTGTM2_N28E083

Right Image: ASTER GDEM data with color and hillshade applied.

Granule ID:
ASTGTM2_N28E083

References:

Click here to view a webinar and learn more about ASTER GDEM2 and SRTM V3.0.

ESRI, 2012. Types of source data supported in terrain datasets, accessed October 20, 2014, http://resources.arcgis.com/en/help/main/10.1/index.html#//005v0000000900000

JPL, 2005, SRTM: Frequently Asked Questions, accessed October 22, 2014, www2.jpl.nasa.gov/srtm/faq.html

JSS, n.d., ASTER Global Digital Elevation Model, accessed October 22, 2014, https://www.jspacesystems.or.jp/ersdac/GDEM/E/2.html

LP DAAC, 2012, ASTER: Advanced Spaceborne Thermal Emission and Reflection Radiometer. Land Remote Sensing Data Access Workshop, March 13-14, 2012, accessed October 22, 2014, https://lpdaac.usgs.gov/sites/default/files/public/user_community/docs/02%2BData%2BTalk%2BASTER.pdf

LP DAAC, 2013, SRTM Collection, accessed October 22, 2014, https://lpdaac.usgs.gov/sites/default/files/public/measures/docs/NASA_SRTM_V3.pdf

NASA JPL, 2009, Global Digital Elevation Model, accessed October 18, 2014, http://asterweb.jpl.nasa.gov/gallery-detail.asp?name=gdem

Tachikawa, T., Hato, M., Kaku, M., and Iwasaki, A., 2011, Characteristics of ASTER GDEM Version 2, IGARRS 2011, Canada, accessed October 18, 2014, https://lpdaac.usgs.gov/sites/default/files/public/aster/docs/Tachikawa_etal_IGARSS_2011.pdf

Yao, Y., Zhang, B., 2014. The mass elevation effect of the Tibetan Plateau and its implications for Alpine treelines: International Journal of Climatology, accessed January 8, 2014, at http://dx.doi.org/10.1002/joc.4123.

Information about ASTER GDEM2 and how to download can be found here.

Information about NASA SRTM V3.0 and how to download can be found here.

Material written by: Lindsey Harriman1

1 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 G10PC00044 for LP DAAC2.

2 LP DAAC Work performed under NASA contract NNG14HH33I.