English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In a large-scale earthquake, it is important to understand road conditions over a wide area to establish vehicular and evacuation routes. We propose a method of detecting road-blockage areas in mountainous districts. We use satellite images taken before the disaster and aerial images taken after the disaster. We detect damaged areas by comparing the two images and the digital elevation model (DEM). Then, we detect road-blockage areas using connectivity relationships between the damaged areas. Finally, we project the results onto the digital map. We analyzed actual images to evaluate the effectiveness of our method.

Detection of Road Blockage Areas after Earthquake Disaster in Mountainous Districts Using Aerial Images