Editing Remote Sensing

Machine learning can be applied to remote sensing data to infer climate-relevant information such as global greenhouse gas emissions, building footprints, solar panel locations, or occurrences of deforestation.<ref>{{Cite web|title=Tackling climate change in the EU|url=http://dx.doi.org/10.1163/9789004322714_cclc_2017-0189-005|website=Climate Change and Law Collection}}</ref> Some general-purpose remote sensing datasets are listed below.

== Satellite imagery datasets ==

=== '''High-resolution RGB satellite images (for visual predictions)''' ===

==== Public datasets ====

* [https://earthexplorer.usgs.gov/ United States Geological Survey]
* [https://www.copernicus.eu/en/access-data Copernicus (Sentinel satellites)]
* [https://worldview.earthdata.nasa.gov/ NASA Worldview]
* [https://www.google.com/earth/ Google Earth] (permission needed for research use)

'''Commercial datasets'''

*[https://www.digitalglobe.com/ DigitalGlobe] (up to 31cm resolution)
*[https://www.planet.com/ Planet] (up to 72cm resolution)

=== '''Multispectral satellite images (5-13 visible and infrared bands)''' ===

==== Public datasets ====

* [https://www.copernicus.eu/en/access-data Copernicus (Sentinel satellites)]
* [http://bigearth.net/ BigEarthNet (Sentinel satellites)]

==== Commercial datasets ====

* [https://www.digitalglobe.com/ Digital Globe]
* [https://www.planet.com/ Planet]

=== '''Hyperspectral satellite images (up to a few hundred visible and infrared bands)''': ===

==== Public datasets ====

* [https://earthexplorer.usgs.gov/ United States Geological Survey (Hyperion data)]

==== See also ====

* Table 1 of the review "Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context"<ref>{{Cite journal|last=Transon|first=Julie|last2=d’Andrimont|first2=Raphaël|last3=Maugnard|first3=Alexandre|last4=Defourny|first4=Pierre|date=2018-01-23|title=Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context|url=http://dx.doi.org/10.3390/rs10020157|journal=Remote Sensing|volume=10|issue=3|pages=157|doi=10.3390/rs10020157|issn=2072-4292}}</ref> for comparisons between sources.

== Street view datasets ==

* [https://www.openstreetmap.org/ OpenStreetMap]

== References ==