Detecting Coseismic Landslides in GEE Using Machine Learning Algorithms on Combined Optical and Radar Imagery

Landslides, resulting from disturbances in slope equilibrium, pose a significant threat to landscapes, infrastructure, and human life. Triggered by factors such as intense precipitation, seismic activities, or volcanic eruptions, these events can cause extensive damage and endanger nearby communitie...

Full description

Saved in:

Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Vol. 16; no. 10; p. 1722
Main Authors:	Peters, Stefan, Liu, Jixue, Keppel, Gunnar, Wendleder, Anna, Xu, Peiliang
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01-05-2024
Subjects:	2018 AD Accuracy Algorithms Artificial satellites in remote sensing Case studies classification Data mining Dielectric properties Disaster management Earthquake damage Earthquakes Emergency management Emergency preparedness Geospatial data Google Earth Engine Haiti Japan landslide detection Landslides Landslides & mudslides Learning algorithms Localization Machine learning New Zealand Papua New Guinea Radar Radar imaging Radar satellites Remote sensing Remote sensors Satellite imagery satellite remote sensing Seismic activity Sensors Synthetic aperture radar Topography Transfer learning Vegetation Volcanic activity Volcanic eruptions Volcanism New Zealand Haiti Papua New Guinea Japan
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!