The Tech > Emerging tech > Hardware > Satellites - (20)

Satellites can be used for a range of public good tech solutions, from providing imagery to humanitarian responses to monitoring environmental degradation.

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Climate TRACE

We use satellites, other remote sensing techniques, and artificial intelligence to deliver a detailed look at global emissions that gets even better over time.

Starlink cellular connectivity in disasters

Space X's Starlink unit was granted permission by the US FCC to activate a satellite connectivity option for Americans in hurricane zones

Earth Fire Alliance

Earth Fire Alliance

United States of America (the)

Earth Fire Alliance is a global, community-led, non-profit coalition aligned to deliver transformative real-time data from all fires on Earth.

FireSat

FireSat

United States of America (the)

A new global satellite constellation designed specifically to detect and track wildfires the size of a classroom within 20 minutes.

Google Heat Resilience Tool

Google Research is applying AI to satellite and aerial imagery to build a Heat Resilience tool, helping cities understand how to reduce surface temperatures through planting trees or using highly-reflective surfaces, like cool roofs.

Rapid

Rapid integrates advanced mapping tools, authoritative geospatial open data, and cutting-edge technology to empower OpenStreetMap mappers at all levels to get started quickly, making accurate and fresh edits to maps.

Clay

Clay

Washington, DC

Clay is a nonprofit team on a mission to make Earth observation as useful and ubiquitous as a Google search. We believe in using open, responsible AI to make Earth observation a force for positive change.

Radiant Earth

Radiant Earth

Washington, DC

Increasing shared understanding of our world through community-led initiatives that make data easier to access and use.

Carbon Mapper

We leverage remote sensing technology to detect, pinpoint, and quantify methane and carbon dioxide (CO2) emissions at the scale of individual facilities.

Google MethaneSAT partnership

Google MethaneSAT partnership

United States of America (the)

Just like how we use AI to detect sidewalks, street signs and road names in satellite imagery to display helpful information in Google Maps, we’ll also use AI to identify oil and gas infrastructure, like oil storage containers, in our imagery. Then, we’ll combine it with EDF’s information about oil and gas infrastructure to locate where the emissions are coming from.

OpenAerialMap

OpenAerialMap

1100 13th Street NW Suite 800 Washington, D.C. 20005

OpenAerialMap is an open service to provide access to a commons of openly licensed imagery and map layer services. Download or contribute imagery to the growing commons of openly licensed imagery. Start Exploring

Tile2Net

Tile2Net

United States of America (the)

"an end-to-end open-source framework for creating georeferenced pedestrian networks from aerial imagery"

MethaneSAT

MethaneSAT

United States of America (the)

A better and faster way to track methane

SpaceX Starshield

Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on three areas:

GiveDirectly Hurricane Relief

In partnership with Google and Propel, GiveDirectly is automating cash aid to Propel users living in areas deemed damaged by satellite imagery

The State of Satellites

This is an exploratory overview of current and upcoming sources of data, processing pipelines, and data products. It is aimed at helping non-experts explore and harness the unfolding revolution of Earth observation, with an emphasis on understanding current capabilities and project development considerations.

Facebook AI mapping for humanitarian aid and development

Building on our previous publication of similar high-resolution population maps for 22 countries, we're now releasing new maps of the majority of the African continent, and the project will eventually map nearly the whole world’s population. Using weakly- and semi-supervised learning.

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