Remote Sensing: Difference between revisions
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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> |
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> |
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==Background Readings== |
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==Online Courses and Course Materials== |
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==Community== |
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==Libraries and Tools== |
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== Data == |
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== Satellite imagery datasets == |
=== Satellite imagery datasets === |
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===='''High-resolution RGB satellite images (for visual predictions)'''==== |
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* [https://earthexplorer.usgs.gov/ United States Geological Survey] |
* [https://earthexplorer.usgs.gov/ United States Geological Survey] |
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* [https://www.google.com/earth/ Google Earth] (permission needed for research use) |
* [https://www.google.com/earth/ Google Earth] (permission needed for research use) |
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Commercial datasets |
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*[https://www.digitalglobe.com/ DigitalGlobe] (up to 31cm resolution) |
*[https://www.digitalglobe.com/ DigitalGlobe] (up to 31cm resolution) |
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*[https://www.planet.com/ Planet] (up to 72cm resolution) |
*[https://www.planet.com/ Planet] (up to 72cm resolution) |
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=== |
===='''Multispectral satellite images (5-13 visible and infrared bands)''' ==== |
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* [https://www.copernicus.eu/en/access-data Copernicus (Sentinel satellites)] |
* [https://www.copernicus.eu/en/access-data Copernicus (Sentinel satellites)] |
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* [http://bigearth.net/ BigEarthNet (Sentinel satellites)] |
* [http://bigearth.net/ BigEarthNet (Sentinel satellites)] |
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Commercial datasets |
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* [https://www.digitalglobe.com/ Digital Globe] |
* [https://www.digitalglobe.com/ Digital Globe] |
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* [https://www.planet.com/ Planet] |
* [https://www.planet.com/ Planet] |
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===='''Hyperspectral satellite images (up to a few hundred visible and infrared bands)''': ==== |
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* [https://earthexplorer.usgs.gov/ United States Geological Survey (Hyperion data)] |
* [https://earthexplorer.usgs.gov/ United States Geological Survey (Hyperion data)] |
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See also |
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* 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. |
* 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. |
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== Street view datasets == |
=== Street view datasets === |
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* [https://www.openstreetmap.org/ OpenStreetMap] |
* [https://www.openstreetmap.org/ OpenStreetMap] |
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Revision as of 19:54, 31 August 2020
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.[1]
Background Readings
Online Courses and Course Materials
Community
Libraries and Tools
Data
Satellite imagery datasets
High-resolution RGB satellite images (for visual predictions)
Public datasets
- United States Geological Survey
- Copernicus (Sentinel satellites)
- NASA Worldview
- Google Earth (permission needed for research use)
Commercial datasets
- DigitalGlobe (up to 31cm resolution)
- Planet (up to 72cm resolution)
Multispectral satellite images (5-13 visible and infrared bands)
Public datasets
Commercial datasets
Hyperspectral satellite images (up to a few hundred visible and infrared bands):
Public datasets
See also
- Table 1 of the review "Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context"[2] for comparisons between sources.
Street view datasets
References
- ↑ "Tackling climate change in the EU". Climate Change and Law Collection.
- ↑ Transon, Julie; d’Andrimont, Raphaël; Maugnard, Alexandre; Defourny, Pierre (2018-01-23). "Survey of Hyperspectral Earth Observation Applications from Space in the Sentinel-2 Context". Remote Sensing. 10 (3): 157. doi:10.3390/rs10020157. ISSN 2072-4292.