High-resolution and LIDAR imaging support to the Haiti earthquake relief effort

2010 ◽  
Author(s):  
David W. Messinger ◽  
Jan van Aardt ◽  
Don McKeown ◽  
May Casterline ◽  
Jason Faulring ◽  
...  
Keyword(s):  
High Resolution ◽  
Haiti Earthquake ◽  
Relief Effort

Building Damage Assessment Using High-Resolution Satellite SAR Images of the 2010 Haiti Earthquake

2016 ◽  
Vol 32 (1) ◽  
pp. 591-610 ◽  
Author(s):  
Hiroyuki Miura ◽  
Saburoh Midorikawa ◽  
Masashi Matsuoka
Keyword(s):  
High Resolution ◽  
Accuracy Assessment ◽  
Building Damage ◽  
Haiti Earthquake ◽  
Sar Images ◽  
Linear Discriminant ◽  
Intensity Images ◽  
Image Pixels ◽  
The Difference ◽  
Collapsed Buildings

Damage to individual buildings in an urban area of Port-au-Prince, Haiti, from the 2010 Haiti earthquake was assessed by means of high-resolution synthetic aperture radar (SAR) intensity images and ancillary building footprints. A comparison of pre- and post-event images and a building damage inventory showed that backscattering intensity between images was more significantly changed in collapsed buildings than in less damaged buildings. The linear discriminant function, based on the difference and correlation coefficient of the images was developed to detect collapsed buildings. The result showed that almost 75% of the buildings were correctly detected by discriminant analysis. An accuracy assessment revealed the difficulty of detecting small and congested buildings because the number of image pixels was too small and the buildings were obscured by neighboring buildings and other features in the images.

scholarly journals Discrimination of Earthquake-Induced Building Destruction from Space Using a Pretrained CNN Model

2020 ◽  
Vol 10 (2) ◽  
pp. 602 ◽  
Author(s):  
Min Ji ◽  
Lanfa Liu ◽  
Rongchun Zhang ◽  
Manfred F. Buchroithner
Keyword(s):  
Neural Network ◽  
High Resolution ◽  
Satellite Imagery ◽  
Human Life ◽  
Haiti Earthquake ◽  
Intermediate Layers ◽  
High Resolution Satellite Imagery ◽  
Collapsed Buildings ◽  
Very High ◽  
Visual Geometry

The building is an indispensable part of human life which provides a place for people to live, study, work, and engage in various cultural and social activities. People are exposed to earthquakes, and damaged buildings caused by earthquakes are one of the main threats. It is essential to retrieve the detailed information of affected buildings after earthquakes. Very high-resolution satellite imagery plays a key role in retrieving building damage information since it captures imagery quickly and effectively after the disaster. In this paper, the pretrained Visual Geometry Group (VGG)Net model was applied for identifying collapsed buildings induced by the 2010 Haiti earthquake using pre- and post-event remotely sensed space imagery, and the fine-tuned pretrained VGGNet model was compared with the VGGNet model trained from scratch. The effects of dataset augmentation and freezing different intermediate layers were also explored. The experimental results demonstrated that the fine-tuned VGGNet model outperformed the VGGNet model trained from scratch with increasing overall accuracy (OA) from 83.38% to 85.19% and Kappa from 60.69% to 67.14%. By taking advantage of dataset augmentation, OA and Kappa went up to 88.83% and 75.33% respectively, and the collapsed buildings were better recognized with a larger producer accuracy of 86.31%. The present study showed the potential of using the pretrained Convolutional Neural Network (CNN) model to identify collapsed buildings caused by earthquakes using very high-resolution satellite imagery.

Damage assessment of Haiti earthquake emergency using high resolution remote sensing imagery

2010 ◽  
Author(s):  
Long Wang ◽  
Aixia Dou ◽  
Xiaoqing Wang ◽  
Yanfang Dong ◽  
Xiang Ding ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Damage Assessment ◽  
Haiti Earthquake ◽  
Remote Sensing Imagery

A Comprehensive Analysis of Building Damage in the 12 January 2010 Mw7 Haiti Earthquake Using High-Resolution Satelliteand Aerial Imagery

2011 ◽  
Vol 77 (10) ◽  
pp. 997-1009 ◽  
Author(s):  
Christina Corbane ◽  
Keiko Saito ◽  
Luca Dell’Oro ◽  
Einar Bjorgo ◽  
Stuart P.D. Gill ◽  
...  
Keyword(s):  
High Resolution ◽  
Building Damage ◽  
Comprehensive Analysis ◽  
Aerial Imagery ◽  
Haiti Earthquake

Observations of the spatial structure of interstellar hydrogen

1967 ◽  
Vol 31 ◽  
pp. 45-46
Author(s):  
Carl Heiles
Keyword(s):  
High Resolution ◽  
Spatial Structure ◽  
Velocity Dispersion ◽  
Temperature Variations

High-resolution 21-cm line observations in a region aroundlII= 120°,b11= +15°, have revealed four types of structure in the interstellar hydrogen: a smooth background, large sheets of density 2 atoms cm-3, clouds occurring mostly in groups, and ‘Cloudlets’ of a few solar masses and a few parsecs in size; the velocity dispersion in the Cloudlets is only 1 km/sec. Strong temperature variations in the gas are in evidence.

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