license: cc-by-4.0
tags:
- earth-observation
- remote-sensing
- satellite
- geospatial
- night-lights
VIIRS Nighttime Light
Radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB)
| Source | Modality Type | Number of Patches | Patch Size | Total Pixels |
|---|---|---|---|---|
| VIIRS Nighttime Light | Nighttime Light | 0,0 | 1068 x 1068 (10 m) | > Billion |
Content
| Variable | Description | Units |
|---|---|---|
average |
Average monthly radiance | nW/cm²/sr |
average-masked |
Average monthly radiance with background masked | nW/cm²/sr |
median |
Median monthly radiance | nW/cm²/sr |
median-masked |
Median monthly radiance with background masked | nW/cm²/sr |
min |
Minimum monthly radiance | nW/cm²/sr |
max |
Maximum monthly radiance | nW/cm²/sr |
cf_cvg |
Count of cloud-free coverage | No. |
cvg |
Count of total coverage | No. |
Based on: Annual VIIRS Nighttime Lights V2
- 2015-2021 Annual VNL V2.1
- 2022-2024 Annual VNL V2.2
Spatial Coverage
Write about that is similar to S-2 but the latitude is different (180°W, 75°N, 180°E, 65°S)
pan the globe from 75N latitude to 65S
This is a global monotemporal dataset. Nearly every piece of Earth captured by Sentinel-2 is contained at least once in this dataset (and only once, excluding some marginal overlaps).
The following figure demonstrates the spatial coverage (only black pixels are absent):
Example Use
from fsspec.parquet import open_parquet_file
import pyarrow.parquet as pq
from io import BytesIO
from PIL import Image
Cite
@inproceedings{Major_TOM,
title={Major TOM: Expandable Datasets for Earth Observation},
author={Alistair Francis and Mikolaj Czerkawski},
year={2024},
booktitle={IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium},
eprint={2402.12095},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
VIIRS Nighttime Light products credit
Many thanks to Earth Observation Group (EOG), part of the Payne Institute for Public Policy at Colorado School of Mines, especially Christopher D. Elvidge, for their support and consultation.
- C.D. Elvidge, M. Zhizhin, T. Ghosh, F-C. Hsu, "Annual time series of global VIIRS nighttime lights derived from monthly averages: 2012 to 2019", Remote Sensing, 2021, 13(5), 922. https://doi.org/10.3390/rs13050922.
- C.D. Elvidge, K. Baugh, M. Zhizhin, F.-C. Hsu, and T. Ghosh, “VIIRS night-time lights,” International Journal of Remote Sensing, vol. 38, pp. 5860–5879, 2017. https://doi.org/10.1080/01431161.2017.1342050.
- C.D. Elvidge, K.E. Baugh, M. Zhizhin, and F.-C. Hsu, “Why VIIRS data are superior to DMSP for mapping nighttime lights,” Asia-Pacific Advanced Network 35, vol. 35, p. 62, 2013. http://dx.doi.org/10.7125/APAN.35.7.