Advanced Machine Learning and Big Data Analytics in Remote Sensing for Natural Hazards Management
Clicks: 239
ID: 110125
2020
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
71.6
/100
239 views
191 readers
Trending
AI Quality Assessment
Not analyzed
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 | |
Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.