ASTER GDEM data in the Heihe River Basin (2009)- A Big Earth Data Platform for Three Poles

The data set includes ASTER GDEM data and its Mosaic.

ASTER Global DEM (ASTER GDEM) is a Global digital elevation data product jointly released by NASA and Japan's ministry of economy, trade and industry (METI) on June 29, 2009. The DEM data is based on the observation results of NASA's new earth observation satellite TERRA.It is produced by the ASTER(Advanced Space borne Thermal Emission and Reflection Radio meter) sensor, which collects 1.3 million stereo image data, covering more than 99% of the earth's land surface.The data has a horizontal accuracy of 30 m (95% confidence) and an elevation accuracy of 7-14 m (95% confidence).This data is the third global elevation data, which is significantly higher than previous SRTM3 DEM and GTOPO30 data.

We from NASA's web site (http://wist.echo.nasa.gov/api) to download the data of heihe river basin, and through the data center to distribute.The data distributed by the center completely retains the original appearance of the data without any modification to the data.If users need details about ASTER GDEM preparation process, please refer to the data documents of metadata connections, or visit http://www.ersdac.or.jp/GDEM/E/3.html or directly from https://lpdaac.usgs.gov/ reading and ASTER Global DEM related documents.

ASTER GDEM is divided into several data blocks of 1×1 degree in distribution, and the distribution format is zip compression format. Each compressed file includes three files. The file naming format is as follows:

ASTGTM_NxxEyyy_dem.tif

ASTGTM_NxxEyyy_num.tif

reademe.pdf

Where xx is the starting latitude and yyy is the starting longitude._dem. Tif is the dem data file, _num. Tif is the data quality file, and reademe is the data description file.

In order to facilitate users to use the data, on the basis of the fractional ASTER GDEM data, we splice fractional SRTM data to prepare the ASTER GDEM Mosaic map of the black river basin, which retains all the original features of ASTER GDEM without any resamulation.

This data includes two files: heihe_aster_gdem_mosaic_dem.img Heihe_Aster_GDEM_Mosaic_num. Img

The data is stored in the format of Erdas image, where the file _dem.img is the dem data file and the file _num. Img is the data quality file.

File naming and required software

File naming: the data is stored in raster TIF format, ASTER GDEM is divided into a number of 1×1 degree data blocks in distribution, distribution format is zip compression format, each compressed file includes three files, file naming format is as follows:
ASTGTM_NxxEyyy_dem.tif
ASTGTM_NxxEyyy_num.tif
reademe.pdf
Where xx is the starting latitude and yyy is the starting longitude._dem. Tif is the dem data file, _num. Tif is the data quality file, and reademe is the data description file.
Data reading: Arcgis, Envi and other remote sensing software can be used to open and read.

Data Citations Data citation guideline What's data citation?

Cite as:

National Aeronautics and Space Administration. (2013). ASTER GDEM data in the Heihe River Basin (2009). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Li, X., Nan, Z.T., Cheng, G.D., Ding, Y.J., Wu, L.Z., Wang, L.X., Wang, J., Ran, Y.H., Li, H.X., Pan, X.D., & Zhu, Z.M. (2011). Toward an improved data stewardship and service for environmental and ecological science data in west China. International Journal of Digital Earth, 4(4): 347-359. DOI: 10.1080/17538947.2011.558123. (View Details | Download )

2.SONG Xiaoyu , LIU Yuqing, DENG Xiaohong , XU Zhongmin. Spatial targeting of payments for ecosystem services Based on SWAT Model and cost-benefit analysis. Acta Ecologica Sinica, 2012, (24):7722-7729 (View Details )

3.Gao Y, Chen F, Barlage M, Liu W, Cheng G, Li X, Yu Y, Ran Y, Li H, Peng H, Ma M. (2008). Enhancement of land surface information and its impact on atmospheric modeling in the heihe river basin, northwest china. Journal of Geophysical Research: Atmospheres, 113(D20). (View Details )

4.Li, X. , Lu, L. , Yang, W. , & Cheng, G. . (2012). Estimation of evapotranspiration in an arid region by remote sensing—a case study in the middle reaches of the heihe river basin. International Journal of Applied Earth Observation & Geoinformation, 17(none), 0-93. (View Details )

5.LI Xin, WU Lizong, MA Mingguo, GE Yingchun, RAN Youhua, WANG Liangxu, NAN Zhuotong （ Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China） (View Details )

6.Li Xin, Cheng Guodong, Wu Lizong. Digital Heihe River Basin. 1 ： An Information Infrastructure for the Watershed Science. Advances in Earth Science, 2010, 25(3): 297-305. (View Details )

7.Yin, Z. , Xiao, H. , Zou, S. , Wang, W. , Lu, Z. , & Xu, B. . (2012). Analysis on water balance in different land cover types at upper reaches of Heihe River basin in northwestern China using SWAT model. 2012 International Symposium on Geomatics for Integrated Water Resources Management (GIWRM), 2012, :1-6. doi:10.1109/GIWRM.2012.6349606 (View Details )

8.He, C. , Zhang, L. , Fu, L. , Luo, Y. , & Demarchi, C. . (2013). Simulation of River Flow for Downstream Water Allocation in the Heihe River Watershed, Northwest China. Landscape Ecology for Sustainable Environment and Culture. Springer Netherlands. (View Details )

9.Hirano, A. , Welch, R. , & Lang, H. . (2003). Mapping from aster stereo image data: dem validation and accuracy assessment. ISPRS Journal of Photogrammetry and Remote Sensing, 57(5), 356-370. (View Details )

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