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license: cc-by-4.0
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---
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"cf_cvg" Count of cloud free coverage
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"cvg" Count of coverage
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"max" Maximum monthly radiance, nW/cm2/sr
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"median" Median monthly radiance, nW/cm2/sr
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"median-masked" Median monthly radiance w/ background masked, nW/cm2/sr
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"min" Minimum monthly radiance, nW/cm2/sr
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Many thanks to Earth Observation Group (EOG), part of the Payne Institute for Public Policy at Colorado School of Mines, nd especially Dr. Christopher D. Elvidge, for their support and consultation.
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**VIIRS Nighttime Light products credit**
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- 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.
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- 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.
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- 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.
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---
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license: cc-by-4.0
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tags:
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- earth-observation
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- remote-sensing
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- satellite
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- geospatial
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- night-lights
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---
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# VIIRS Nighttime Light
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| Source | Modality Type | Number of Patches | Patch Size | Total Pixels |
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|:-------|:-------------:|:-----------------:|:----------:|:------------:|
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|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 |
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|-----------------|--------------------------------------------------|---------------|
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| `average` | Average monthly radiance | nW/cm²/sr |
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| `average-masked`| Average monthly radiance with background masked | nW/cm²/sr |
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| `median` | Median monthly radiance | nW/cm²/sr |
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| `median-masked` | Median monthly radiance with background masked | nW/cm²/sr |
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| `min` | Minimum monthly radiance | nW/cm²/sr |
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| `max` | Maximum monthly radiance | nW/cm²/sr |
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| `cf_cvg` | Count of cloud-free coverage | No. |
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| `cvg` | Count of total coverage | No. |
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# Spatial Coverage
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Write about that is similar to S-2 but the latitude is different
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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
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```python
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from fsspec.parquet import open_parquet_file
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import pyarrow.parquet as pq
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from io import BytesIO
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from PIL import Image
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```
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## Cite
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[](https://arxiv.org/abs/2402.12095/)
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```latex
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@inproceedings{Major_TOM,
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title={Major TOM: Expandable Datasets for Earth Observation},
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author={Alistair Francis and Mikolaj Czerkawski},
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year={2024},
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booktitle={IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium},
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eprint={2402.12095},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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**VIIRS Nighttime Light products credit**
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Based on:
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[VNL](https://eogdata.mines.edu/products/vnl/)
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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.
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```
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- 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.
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- 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.
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- 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.
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```
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