Global Multimodal Dataset for Nighttime Light Super-Resolution
- Allen, Tony | Oak Ridge National Laboratory
- Sullivan, Haley | Oak Ridge National Laboratory
- Reid, Emma | Oak Ridge National Laboratory
Overview
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 Resources
DOE Contract Number
AC05-00OR22725Originating Research Organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring Organization
Office of Science (SC)Related Resources
- IsPartOf (DOI): https://doi.org/10.2172/2588947
Details
DOI
10.13139/ORNLNCCS/3008685Release Date
January 22, 2026Dataset
Dataset Type
IP Still Images or PhotosSoftware
PythonAcknowledgements
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.
Keywords
- Nighttime lights,
- Super-Resolution