Remote Sensing: Difference between revisions

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Line 1: ''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 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>▼ ▲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> * Mapping power grids and solar panel locations. Line 7 ⟶ 9: ==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] Coursera: *[https://www.coursera.org/learn/remote-sensing/home/welcome Remote Sensing Image Acquisition, Analysis and Applications] ==Community== '''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 == Line 20 ⟶ 32: [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