| --- |
| 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) |
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| | Source | Modality Type | Number of Patches | Patch Size | Total Pixels | |
| |:-------|:-------------:|:-----------------:|:----------:|:------------:| |
| |VIIRS Nighttime Light | Nighttime Light |0,0| 1068 x 1068 (10 m) | > Billion | |
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| # Content |
|
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| | 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. | |
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| Based on: |
| [Annual VIIRS Nighttime Lights V2](https://eogdata.mines.edu/products/vnl/) |
| - 2015-2021 Annual VNL V2.1 |
| - 2022-2024 Annual VNL V2.2 |
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| # Spatial Coverage |
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| Write about that is similar to S-2 but the latitude is different (180°W, 75°N, 180°E, 65°S) |
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| pan the globe from 75N latitude to 65S |
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| 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). |
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| The following figure demonstrates the spatial coverage (only black pixels are absent): |
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|
| # Example Use |
| ```python |
| from fsspec.parquet import open_parquet_file |
| import pyarrow.parquet as pq |
| from io import BytesIO |
| from PIL import Image |
| |
| ``` |
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| # Cite |
| [](https://arxiv.org/abs/2402.12095/) |
| ```latex |
| @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} |
| } |
| ``` |
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| # VIIRS Nighttime Light products credit |
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| Many thanks to [**Earth Observation Group (EOG)**](https://payneinstitute.mines.edu/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. |
| ``` |
