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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.
TODO starting page for remote sensing
 
== Satellite imagery datasets ==
* '''High-resolution RGB satellite images (for visual predictions)''':
 
** Public
*=== '''High-resolution RGB satellite images (for visual predictions)''': ===
*** United States Geological Survey
 
*** Copernicus dataset (Sentinel satellites)
==== Public datasets ====
*** NASA Worldview
 
** Public, but permission needed for research use
*** [https://earthexplorer.usgs.gov/ United States Geological Survey]
*** Google Earth
* [https://www.copernicus.eu/en/access-data Copernicus (Sentinel satellites)]
** Commercial
* [https://worldview.earthdata.nasa.gov/ NASA Worldview]
*** DigitalGlobe (up to 31cm resolution)
** Public,[https://www.google.com/earth/ butGoogle Earth] (permission needed for research use)
*** Planet (up to 72cm resolution)
 
* '''Multispectral satellite images (5-13 visible and infrared bands)''':
'''Commercial datasets'''
** Public
 
*** Copernicus dataset (Sentinel satellites)
***[https://www.digitalglobe.com/ DigitalGlobe] (up to 31cm resolution)
*** BigEarthNet dataset (Sentinel satellites)
***[https://www.planet.com/ Planet] (up to 72cm resolution)
** Commercial
 
*** Digital Globe
*=== '''Multispectral satellite images (5-13 visible and infrared bands)''': ===
*** Planet
 
* '''Hyperspectral satellite images (up to a few hundred visible and infrared bands)''':
==== Public datasets ====
** See Table 1 of this survey of hyperspectral earth observation satellites for comparisons between sources.
 
** Public
* [https://www.copernicus.eu/en/access-data Copernicus (Sentinel satellites)]
*** United States Geological Survey (Hyperion data)
*** Copernicus[http://bigearth.net/ datasetBigEarthNet (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 ==
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