Module Overview⚓︎
Reference
Farr, Tom G., and Mike Kobrick. "Shuttle Radar Topography Mission produces a wealth of data." Eos, Transactions American Geophysical Union 81, no. 48 (2000): 583-585.
Asher, Sam, Tobias Lunt, Ryu Matsuura, and Paul Novosad. "Development research at high geographic resolution: an analysis of night-lights, firms, and poverty in India using the shrug open data platform." The World Bank Economic Review 35, no. 4 (2021): 845-871.
@article{farr2000shuttle,
title={Shuttle Radar Topography Mission produces a wealth of data},
author={Farr, Tom G and Kobrick, Mike},
journal={Eos, Transactions American Geophysical Union},
volume={81},
number={48},
pages={583--585},
year={2000},
publisher={Wiley Online Library}
}
@article{almn2021,
title={Development research at high geographic resolution: an analysis of night-lights, firms, and poverty in India using the shrug open data platform},
author={Asher, Sam and Lunt, Tobias and Matsuura, Ryu and Novosad, Paul},
journal={The World Bank Economic Review},
volume={35},
number={4},
year={2021},
publisher={Oxford University Press}
}
About | Elevation data is from SRTM (Shuttle Radar Topography Mission) at 1-arc second resolution. Its Digital Object Identifier (DOI) number is /10.5066/F7PR7TFT. The ruggedness measure TRI is constructed from the elevation data using the method from Riley et al (1999), and used by Nunn and Puga (2012) 'Ruggedness: The Blessing of Bad Geography in Africa'. The TRI expresses the elevation difference between adjacent pixels. It is the square root of the mean squared difference in elevation values between a pixel and the eight cells immediately surrounding it. |
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Geographic Coverage | National |
Aggregations | Shrid, District, Subdistrict, Village/Town |
Producer | US Geological Survey |
Source URL | https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-shuttle-radar-topography-mission-srtm-1#overview |
Notes |
Release Details⚓︎
Release Number | 2.0 |
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Release Name | pakora |
Last updated | June 27, 2023 |