Organised Editing/Activities/Climate TRACE

From OpenStreetMap Wiki
Jump to navigation Jump to search

Climate TRACE

Rationale

The Climate TRACE coalition was established in 2020 as a partnership of nine environmental non-profit organizations. Its purpose is to make meaningful climate action faster and easier by mobilizing the global tech community - harnessing satellites, artificial intelligence, and collective expertise - to track human-caused greenhouse gas (GHG) emissions to specific sources in real time, independently and publicly. More information can be found here.

Climate TRACE is mapping locations and attributes of important sources of GHG emissions, such as power plants, oil and gas wells, and other industrial facilities. Coalition members are using Open Street Map for this mapping in order to make the information as broadly accessible as possible and to contribute to the OSM community. We welcome volunteers who would like to contribute.

Contact

You can contact System-users-3.svgcfmccormick (on osm, edits, contrib, heatmap, chngset com.) or System-users-3.svgisabellasr (on osm, edits, contrib, heatmap, chngset com.) if you have any questions.

Hashtag

We've asked our contributors to use the hashtag #climatetrace with their edits.

Timeframe

Our activities began in November 2020 and we expect them to continue into 2023.

Tools and Data Sources

We'll be using standard OSM tooling and our team's expertise in industrial facility equipment, layout and design.

Participants

Our current core team consists of the following OSM users:

Former participants:

There will be more volunteers participating and we'll ask them to link to this page in their user profile.

Measuring our Success

We cross-reference our data against a number of third-party sources, including the Global Power Plant Database developed by World Resources Institute and the Global Coal Plant Tracker developed by Global Energy Monitor.

Training/Instructions

We're following best tagging practices outlined on the wiki, such as Tag:power=plant.

Results

Some information about how we use remote sensing, facility-level data, and geolocations to better track GHG emissions can be found in this IEEE Spectrum article.

We reported technical details about our preliminary work in this NeurIPS 2020 conference paper.

We released updated emissions estimates using geolocation data in November 2022.