Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management

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ID: 110125
2020
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Abstract
This editorial summarizes the performance of the special issue entitled Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management, which was published at MDPI’s Remote Sensing journal. The special issue took place in years 2018 and 2019 and accepted a total of nine papers from authors of thirteen different countries. So far, these papers have dealt with 116 cites. Earthquakes, landslides, floods, wildfire and soil salinity were the topics analyzed. New methods were introduced, with applications of the utmost relevance.
Reference Key
martínez-Álvarez2020remoteadvanced Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Francisco Martínez-Álvarez;Dieu Tien Bui;Martínez-Álvarez, Francisco;Tien Bui, Dieu;
Journal remote sensing
Year 2020
DOI
10.3390/rs12020301
URL
https://www.mdpi.com/2072-4292/12/2/301/htm##B6-remotesensing-12-00301
Keywords
Data mining remote sensing gis big data information fusion natural hazards spatio-temporal analysis

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