What Is Our Carbon Footprint?

Warning: this product is still highly experimental.

Shows the atmospheric column average methane, nitrogen dioxide and carbon monoxide observations.

Landsat imagery can be used to tie the larger GHG values seen from space to local sources.

Nightlight datasets provide an extremely unique perspective on population, economic development and short-term changes caused by disturbances in power delivery, such as conflict, storms, earthquakes, fires and brownouts.

Note the 1km vs. 100km spatial resolutions.

Use EPA's calculator to find out your household's carbon footprint.

Use ICAO's calculator to find out your carbon footprint for air travel.

Change of XCO2 and XCH4 etc. at selected target observation sites by using JAXA GOSAT data.

Greenhouse gases observed by GOSAT. (Provider: National Institute for Environmental Studies, Japan)

Greenhouse gases observed by GOSAT-2. (Provider: National Institute for Environmental Studies, Japan)

GHG emission sources of Japan area

JAXA satellite database related to land, sea, atmosphere, snow and sea ice, water cycle and climate fields.

The MOPITT Instrument onboard the NASA Terra Satellite is the longest-running air pollution monitor in space today (20 yrs of carbon monoxide data this year!). With its global concentration datasets that not only indicate the total level of CO, but also CO as a function of altitude (atmospheric profiles), the dataset is ready for your use!

Canada’s ozone and ozone depleting substance mission measures more carbon-containing molecules than any other satellite in the world (CO, CO2, CH4, CH3OH, HCOOH, H2CO, OCS, HCN, C2H2, C2H4, C2H6). All this data is uniquely available in atmospheric profile format with particular attention to the Earth’s poles (Arctic and Antarctic). Whatever carbon story you want to tell to policy makers, SCISAT has the data to help you!

This portal hosts many datasets linked to Earth science such as atmospheric science, space environment and weather. Come explore!

Euro Data Cube is providing seamless access to global archives of Sentinel, Landsat and MODIS datasets, easy to analyze, integrate or run machine learning workflows on.