Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors

Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors

There is an evident increase in the importance that remote sensing sensors play in the monitoring and evaluation of natural hazards susceptibility and risk. The present study aims to assess the flash-flood potential values, in a small catchment from Romania, using information provided remote sensing...

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Bibliographic Details
Main Authors: Romulus Costache, Alireza Arabameri, Thomas Blaschke, Quoc Bao Pham, Binh Thai Pham, Manish Pandey, Aman Arora, Nguyen Thi Thuy Linh, Iulia Costache
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
flash-flood potential index
remote sensing sensors
bivariate statistics
deep learning neural network
alternating decision trees
ensemble models
Online Access:https://www.mdpi.com/1424-8220/21/1/280

Internet

https://www.mdpi.com/1424-8220/21/1/280

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