Learning from Transboundary Crises and Disasters: The 2010 Haiti Earthquake

2016 ◽  
pp. 237-258 ◽  
Author(s):  
Alka Sapat ◽  
Ann-Margaret Esnard
Keyword(s):  
Haiti Earthquake

scholarly journals The 2010 Haiti earthquake revisited: An acoustic intensity map from remote atmospheric infrasound observations

2021 ◽  
Vol 560 ◽  
pp. 116795
Author(s):  
Shahar Shani-Kadmiel ◽  
Gil Averbuch ◽  
Pieter Smets ◽  
Jelle Assink ◽  
Läslo Evers
Keyword(s):  
Haiti Earthquake ◽  
Acoustic Intensity ◽  
Intensity Map

An Organized, Comprehensive, and Security-Enabled Strategic Response to the Haiti Earthquake

2010 ◽  
Vol 111 (6) ◽  
pp. 1438-1444 ◽  
Author(s):  
Maureen McCunn ◽  
Michael A. Ashburn ◽  
Thomas F. Floyd ◽  
C. William Schwab ◽  
Paul Harrington ◽  
...  
Keyword(s):  
Haiti Earthquake ◽  
Strategic Response

Bounding and Binding: Trajectories of Community-Organization Emergence Following a Major Disruption

2021 ◽  
Author(s):  
Trenton Alma Williams ◽  
Dean A. Shepherd
Keyword(s):  
Qualitative Study ◽  
Community Organization ◽  
Haiti Earthquake ◽  
Major Disruption ◽  
Emergent Community ◽  
Compare And Contrast

An important and underexamined topic in the growing literature on community-embedded organizing concerns situations in which dramatic shifts in the environment require the time-sensitive re-establishment of both communities and organizations to address urgent needs. We conduct a qualitative study of emergent community-organization trajectories in the aftermath of the 2010 Haiti earthquake and explore differences in the processes and interactions between emerging organizations and communities. Despite all organizations in our data facing the same external shock, they differed in how they interpreted the nature of crisis-induced voids, established boundaries to build and organize communities, and created connections to bind themselves to their communities. We compare and contrast these differences to reveal three trajectories of community-organization emergence, explain why these trajectories initially formed in the ways they did, and identify unique mechanisms that led to these trajectories’ divergence. Our findings contribute to the literature on community-embedded organizing by demonstrating how organizations re-establish communities while simultaneously emerging within those communities.

scholarly journals Ionospheric anomalies associated with the Haiti earthquake of 12 January 2010 observed by DEMETER satellite

2012 ◽  
Vol 12 (3) ◽  
pp. 671-678 ◽  
Author(s):  
S. Sarkar ◽  
S. Choudhary ◽  
A. Sonakia ◽  
A. Vishwakarma ◽  
A. K. Gwal
Keyword(s):  
Electron Temperature ◽  
Satellite Data ◽  
Strong Earthquake ◽  
Plasma Parameter ◽  
Statistical Processing ◽  
Haiti Earthquake ◽  
Plasma Parameters ◽  
Demeter Satellite ◽  
Parameter Variations ◽  
Precursory Phenomena

Abstract. This paper examines the ionospheric anomalies around the time of a strong earthquake (M = 7.0) which occurred in Haiti region (18.457° N, 72.533° W) on 12 January 2010. DEMETER satellite data have been used to study the plasma parameters variation during the Haiti earthquake. One day (11 January 2010) before the earthquake there is a significant enhancement of electron density and electron temperature near the epicenter. Decrease of electron temperature is observed few days after the earthquake. Anomalous plasma parameter variations are detected both in day and nighttimes before the quake. Statistical processing of the DEMETER data demonstrates that satellite data can play an important role for the study of precursory phenomena associated with earthquakes.

Using OR to Support Humanitarian Operations: Learning from the Haiti Earthquake

2010 ◽  
Author(s):  
Alfonso Pedraza Martinez ◽  
Orla Stapleton ◽  
Luk N. Van Wassenhove
Keyword(s):  
Haiti Earthquake ◽  
Humanitarian Operations

scholarly journals Identifying Collapsed Buildings Using Post-Earthquake Satellite Imagery and Convolutional Neural Networks: A Case Study of the 2010 Haiti Earthquake

2018 ◽  
Vol 10 (11) ◽  
pp. 1689 ◽  
Author(s):  
Min Ji ◽  
Lanfa Liu ◽  
Manfred Buchroithner
Keyword(s):  
Satellite Imagery ◽  
Human Life ◽  
Haiti Earthquake ◽  
Minority Class ◽  
Imbalance Problem ◽  
Kappa Value ◽  
Under Sampling ◽  
Collapsed Buildings ◽  
Imbalance Learning ◽  
The Cost

Earthquake is one of the most devastating natural disasters that threaten human life. It is vital to retrieve the building damage status for planning rescue and reconstruction after an earthquake. In cases when the number of completely collapsed buildings is far less than intact or less-affected buildings (e.g., the 2010 Haiti earthquake), it is difficult for the classifier to learn the minority class samples, due to the imbalance learning problem. In this study, the convolutional neural network (CNN) was utilized to identify collapsed buildings from post-event satellite imagery with the proposed workflow. Producer accuracy (PA), user accuracy (UA), overall accuracy (OA), and Kappa were used as evaluation metrics. To overcome the imbalance problem, random over-sampling, random under-sampling, and cost-sensitive methods were tested on selected test A and test B regions. The results demonstrated that the building collapsed information can be retrieved by using post-event imagery. SqueezeNet performed well in classifying collapsed and non-collapsed buildings, and achieved an average OA of 78.6% for the two test regions. After balancing steps, the average Kappa value was improved from 41.6% to 44.8% with the cost-sensitive approach. Moreover, the cost-sensitive method showed a better performance on discriminating collapsed buildings, with a PA value of 51.2% for test A and 61.1% for test B. Therefore, a suitable balancing method should be considered when facing imbalance dataset to retrieve the distribution of collapsed buildings.

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