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''This page is about the applications of machine learning (ML) in the context of remote sensing. For an overview of remote sensing more generally, please see the [https://en.wikipedia.org/wiki/Remote_sensing Wikipedia page] on this topic.''
Machine learning can be applied to remote sensing data to infer climate-relevant information. Some selected examples include:<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>
==Background Readings==
==Online Courses and Course Materials==
* [https://www.earthdatascience.org/courses/ GIS & Remote sensing at Earth Lab, University of Colorado]
*[https://eo-college.org/welcome/ EO College, European Space Agency]
**[https://www.coursera.org/learn/remote-sensing/home/welcome Remote Sensing Image Acquisition, Analysis and Applications]
*'''EARTHVISION''': A workshop regularly held at computer vision conferences. Website [https://www.grss-ieee.org/earthvision2020/ here].
*'''Space and AI:''' A conference organized by the ESA-CLAIRE AI Special Interest Group on Space. Website [https://claire-ai.org/sig-space/?lang=fr here].
==Libraries and Tools==
== Data ==
* [https://worldview.earthdata.nasa.gov/ NASA Worldview]
* [https://www.google.com/earth/ Google Earth] (permission needed for research use)
*[https://apps.sentinel-hub.com/eo-browser/ Sentinel Hub] (Sentinel, Landsat, Envisat, etc.)
Commercial datasets
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