Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline

Journals

Article Types

Countries / Regions

Search Results (1)

Search Parameters:
Keywords = Minami-Aso village

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 9065 KB  
Article
Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake
by Fumio Yamazaki, Wen Liu and Kei Horie
Remote Sens. 2022, 14(23), 5970; https://doi.org/10.3390/rs14235970 - 25 Nov 2022
Cited by 7 | Viewed by 4168
Abstract
This study demonstrates the use of multi-temporal LiDAR data to extract collapsed buildings and to monitor their removal process in Minami-Aso village, Kumamoto prefecture, Japan, after the April 2016 Kumamoto earthquake. By taking the difference in digital surface models (DSMs) acquired at pre- [...] Read more.
This study demonstrates the use of multi-temporal LiDAR data to extract collapsed buildings and to monitor their removal process in Minami-Aso village, Kumamoto prefecture, Japan, after the April 2016 Kumamoto earthquake. By taking the difference in digital surface models (DSMs) acquired at pre- and post-event times, collapsed buildings were extracted and the results were compared with damage survey data by the municipal government and aerial optical images. Approximately 40% of severely damaged buildings showed a reduction in the average height within a reduced building footprint between the pre- and post-event DSMs. Comparing the removal process of buildings in the post-event periods with the damage classification result from the municipal government, the damage level was found to affect judgements by the owners regarding demolition and removal. Full article
(This article belongs to the Special Issue Inauguration of Earth Observation for Emergency Management Section)
Show Figures

Figure 1

Back to TopTop