Services Directory - 0961_LightPollution_2023

0961_LightPollution_2023_05 (Map Service)

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Service Description:

Light Pollution

It is easy to take good lighting for granted. But for birds that are migrating at night, the bright lights can disorient them and increase the risk of collisions with buildings and other human-made structures. By following best practices for reducing unnecessary lighting, such as lights out programs that are being adopted by many cities, we can help keep our skies darker and safer for migratory birds that travel by night.

Data Source(s)

Earth Observation Group, Payne Institute for Public Policy. 2023. Nighttime Light: Annual VNL V2. Colorado School of Mines. Available from https://eogdata.mines.edu/products/vnl/#annual_v2.
Elvidge CD, Zhizhin M, Ghosh T, Hsu F-C, Taneja J. 2021. Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019. Remote Sensing 13. Available from https://doi.org/10.3390/rs13050922.
Elvidge CD, Baugh KE, Zhizhin M, Hsu F-C. 2013. Why VIIRS data are superior to DMSP for mapping nighttime lights. Proceedings of the Asia-Pacific Advanced Network 35:62.

Processing

We mapped the current footprint of light pollution as a binary surface by identifying 3-km cells with any nighttime lights (i.e., values > 0) per the 2021 annual VIIRS nighttime lights dataset produced by the Earth Observation Group at Colorado School of Mines.

Most relevant IUCN - CMP Unified Direct Threat Classification

9.6.1. Light pollution

Map Name: Map

Legend

All Layers and Tables

Layers:

0961_LightPollution_Current_Final.tif(10)

Tables:

Description:

Light Pollution

Data Source(s)

Earth Observation Group, Payne Institute for Public Policy. 2023. Nighttime Light: Annual VNL V2. Colorado School of Mines. Available from https://eogdata.mines.edu/products/vnl/#annual_v2.
Elvidge CD, Zhizhin M, Ghosh T, Hsu F-C, Taneja J. 2021. Annual Time Series of Global VIIRS Nighttime Lights Derived from Monthly Averages: 2012 to 2019. Remote Sensing 13. Available from https://doi.org/10.3390/rs13050922.
Elvidge CD, Baugh KE, Zhizhin M, Hsu F-C. 2013. Why VIIRS data are superior to DMSP for mapping nighttime lights. Proceedings of the Asia-Pacific Advanced Network 35:62.

Processing

Most relevant IUCN - CMP Unified Direct Threat Classification

9.6.1. Light pollution

Copyright Text:

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Document Info:

Title: 0961_LightPollution_2023_05
Author: eknight_audubon
Comments:
Subject: This map shows areas containing nighttime lights in 2021.
Category:
Keywords: mbi, threats