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

被引：8

作者：

Martinez-Alvarez, Francisco ^{[1
]}

Dieu Tien Bui ^{[2
]}

机构：

[1] Pablo de Olavide Univ, Data Sci & Big Data Lab, ES-41013 Seville, Spain

[2] Univ South Eastern Norway, Dept Business & IT, Geog Informat Syst Grp, N-3800 Bo I Telemark, Norway

来源：

REMOTE SENSING | 2020年 / 12卷 / 02期

关键词：

data mining; big data; remote sensing; GIS; spatio-temporal analysis; information fusion; natural hazards;

D O I：

10.3390/rs12020301

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页数：3

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