Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery

Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery

Natural hazards include a wide range of high-impact phenomena that affect socioeconomic and natural systems. Landslides are a natural hazard whose destructive power has caused a significant number of victims and substantial damage around the world. Remote sensing provides many data types and techniq...

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Bibliographic Details
Main Authors: Rocío N. Ramos-Bernal, René Vázquez-Jiménez, Raúl Romero-Calcerrada, Patricia Arrogante-Funes, Carlos J. Novillo
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
Aster
change detection
linear regression
Chi-square transformation
change vector analysis
thresholding
Online Access:https://www.mdpi.com/2072-4292/10/12/1987

Internet

https://www.mdpi.com/2072-4292/10/12/1987

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