Night lights average percentage (Quasi Global - 1 km - NOAA|DSMP)

World's Tropical Forests

Monthly updated high resolution image mosaics covering 64 Countries

Through Norway’s International Climate & Forests Initiative , anyone can now access Planet’s high-resolution, analysis-ready mosaics of the world’s tropics in order to help reduce and reverse the loss of tropical forests, combat climate change, conserve biodiversity, and facilitate sustainable development.

In support of NICFI’s mission, you can use this data for a number of projects including, but not limited to:

• Advance scientific research about the world’s tropical forests and the critical services they provide.

• Implement and improve policies for sustainable forest management and land use in developing tropical forest countries and jurisdictions.

• Increase transparency and accountability in the tropics.

• Protect and improve the rights of indigenous peoples and local communities in tropical forest countries.

• Innovate solutions towards reducing pressure on forests from global commodities and financial markets.

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DMSP-OLS nighttime lights imagery for the years 1992-2013. The individual images are cloud-free composites made using all the available archived DMSP-OLS (Defense Meteorological Satellite Program - Operational Linescan System) smooth resolution data for calendar years. In cases where two satellites were collecting data - two composites were produced. The products are 30 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude.

Each composite set is named with the satellite and the year (F121995 is from DMSP satellite number F12 for the year 1995). Five ArcGIS image services are available, each containing images from 1992-2013: - cf_cvg: Cloud-free coverages tally the total number of observations that went into each 30 arc second grid cell. This image can be used to identify areas with low numbers of observations where the quality is reduced. In some years there are areas with zero cloud-free observations in certain locations. - avg_vis: Raw avg_vis contains the average of the visible band digital number values with no further filtering. Data values range from 0-63. - stable_lights: The cleaned up avg_vis contains the lights from cities, towns, and other sites with persistent lighting, including gas flares. Ephemeral events, such as fires have been discarded. Then the background noise was identified and replaced with values of zero. Data values range from 1-63. - pct_lights: The percent frequency of light detections in cloud-free observations. The number of light detections is not provided but can be calculated by multiplying pct_lights by the number of cloud-free observations (cf_cvg). Data values range from 0-100. - avg_lights_x_pct: The nighttime lights product known as avg_lights_x_pct is derived from the average visible band digital number (DN) of cloud-free light detections multiplied by the percent frequency of light detection. The inclusion of the percent frequency of detection term normalizes the resulting digital values for variations in the persistence of lighting. For instance, the value for a light only detected half the time is discounted by 50%. Note that this product contains detections from fires and a variable amount of background noise. This is the product used to infer gas flaring volumes from the nighttime lights.