Akiba So
bc73351234
- Add .gitattributes with LFS tracking for binary/data files - Migrate processed parquet/npy/npz files from regular git to LFS - Add Datas/ raw data via LFS (DEM, weather, air quality, maps) - Add outputs/ GIS analysis and street matching results - Enable cross-machine development with full data portability
31 lines
1.4 KiB
Plaintext
31 lines
1.4 KiB
Plaintext
1.
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TY - DATA
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AU - Moehl, Jessica
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AU - Reith, Andrew
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AU - McKee, Jacob
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AU - Weber, Eric
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AU - Laverdiere, Melanie
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AU - Swan, Benjamin
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AU - Yang, Hsiuhan
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AU - Hauser, Taylor
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AU - Rose, Amy
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AU - Walters, Sarah
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AU - Roddy, Darrell
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AU - Pyle, Joe
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AU - O'Shell, Mary Ann
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AU - Urban, Marie
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PY - 2023
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TI - LandScan HD China v1.0
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CY - Oak Ridge, TN
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PB - Oak Ridge National Laboratory
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SE - August 11, 2023
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T3 - LandScan HD
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ET - v1.0
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RI - China
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C1 - CY 2023
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C3 - raster digital data
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AB - LandScan HD is developed for individual countries around the world and provides gridded population estimates at 3 arc-second resolution. The LandScan HD model incorporates current land use and infrastructure data from a variety of sources, applies facility occupancy estimates from ORNL's Population Density Tables (PDT) project, and leverages novel image processing algorithms developed at ORNL to rapidly map building structures and neighborhood areas using high-performance computing environments. In this way, LandScan HD is developed using a 'bottom-up' approach where high resolution population estimates are not dependent on a recently conducted, high quality census. This approach is particularly useful for parts of the world that regularly experience large changes in population distribution due to rapid growth, natural hazards, or conflict.
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UR - https://landscan.ornl.gov
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DO - https://doi.org/10.48690/1524248
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ER -
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