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Global Multimodal Dataset for Nighttime Light Super-Resolution

    Tony Allen | Oak Ridge National Laboratory
    Haley Sullivan | Oak Ridge National Laboratory
    Emma Reid | Oak Ridge National Laboratory
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Description

The dataset is a collection of spatially and temporally registered high-resolution and low-resolution nighttime light (NTL) images, high-resolution land-use binary masks, and high-resolution road density images from around the world. The NTL images are sourced from the NASA Black Marble product VNP46A2 and the LuoJia1-01 satellite. The land-use binary masks are derived from Google's and the World Resources Institute's DynamicWorld dataset, and the road density images are sourced from OpenStreetMap.

Funding Information

DOE Contract Number

AC05-00OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization

Office of Science (SC)

Related Works

Details

DOI

https://doi.org/10.13139/ORNLNCCS/3008685

Release Date

January 22, 2026

Keywords

Nighttime lights, Super-Resolution

Dataset

Dataset Type

IP Still Images or Photos

Software

Python

Cite This Dataset:

Allen, T., Sullivan, H., Reid, E. (2026). Global Multimodal Dataset for Nighttime Light Super-Resolution. Oak Ridge National Laboratory. https://doi.org/10.13139/ORNLNCCS/3008685.

Acknowledgements

This work was carried out [in part] at Oak Ridge National Laboratory, managed by UT-Battelle, LLC for the U.S. Department of Energy under contract DE-AC05-00OR22725.