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RSS FeedsRemote Sensing, Vol. 14, Pages 5970: Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake (Remote Sensing)

 
 

25 november 2022 15:19:16

 
Remote Sensing, Vol. 14, Pages 5970: Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake (Remote Sensing)
 


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.


 
45 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 14, Pages 5978: Representation Learning with a Variational Autoencoder for Predicting Nitrogen Requirement in Rice (Remote Sensing)
Remote Sensing, Vol. 14, Pages 5983: Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing (Remote Sensing)
 
 
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