Post-Event Damage Assessment Using Morphological Methodology on 0.5m Resolution Satellite Data

2010 ◽  
pp. 37-47 ◽  
Author(s):  
Malgorzata Jenerowicz ◽  
Thomas Kemper ◽  
Martino Pesaresi ◽  
Pierre Soille
Keyword(s):  
Satellite Data ◽  
Damage Assessment

Rapid damage assessment of built‐up structures using VHR satellite data in tsunami‐affected areas

2007 ◽  
Vol 28 (13-14) ◽  
pp. 3013-3036 ◽  
Author(s):  
M. Pesaresi ◽  
A. Gerhardinger ◽  
F. Haag
Keyword(s):  
Satellite Data ◽  
Damage Assessment

Post-event Only VHR Radar Satellite Data for Automated Damage Assessment

2011 ◽  
Vol 77 (10) ◽  
pp. 1037-1043 ◽  
Author(s):  
Fabio Dell’Acqua ◽  
Diego Aldo Polli
Keyword(s):  
Satellite Data ◽  
Damage Assessment ◽  
Radar Satellite

Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies

2016 ◽  
pp. 443-457 ◽  
Author(s):  
Guido Cervone ◽  
Emily Schnebele ◽  
Nigel Waters ◽  
Martina Moccaldi ◽  
Rosa Sicignano
Keyword(s):  
Social Media ◽  
Satellite Data ◽  
Urban Areas ◽  
Damage Assessment

scholarly journals Development of Damage Assessment Method of Rice Crop for Agricultural Insurance Using Satellite Data

2015 ◽  
Vol 7 (12) ◽  
pp. 59 ◽  
Author(s):  
Chiharu Hongo ◽  
Tomonobu Tsuzawa ◽  
Kazuhisa Tokui ◽  
Eisaku Tamura
Keyword(s):  
Regression Analysis ◽  
Satellite Data ◽  
Damage Assessment ◽  
Linear Regression Analysis ◽  
Projection Pursuit ◽  
Multiple Linear Regression Analysis ◽  
Agricultural Insurance ◽  
Rice Varieties ◽  
Projection Pursuit Regression ◽  
Predictive Error

<p>Goal is to develop new method utilizing satellite data for assessment of damage in paddy field which can contribute toward substantial reduction of the damage assessment time and costs in framework of agricultural insurance. For the damage assessment, estimation of yield in each paddy plot is a key, so the research on the estimation of rice yeild was carried out using satellite data in Hokkaido, Japan. Both multiple linear regression analysis and the projection pursuit regression analysis were conducted for the estimation of yeild using data from 3 different satellites about 3 different rice varieties. As the result, the projection pursuit regression analysis showed smaller value of predictive error than that of the multiple linear regression analysis, and the lowest predictive error was indicated when SPOT5 data with 10 m resolution was used. Moreover, for reducing the predictive error, it was found that a yield estimation formula should be created for each of different rice varieties. The results out of this research suggest that satellite data can be effectively used for estimation of yield and also assessment of damage at lower costs to calculate indemnity in agricultural insurance.</p>

Satellite data analysis for earthquake damage assessment

1997 ◽  
Author(s):  
Paolo Gamba ◽  
Andrea Marazzi ◽  
Eugenio Costamagna
Keyword(s):  
Data Analysis ◽  
Satellite Data ◽  
Damage Assessment ◽  
Earthquake Damage ◽  
Earthquake Damage Assessment

Generation of DEM and Ortho-image from High Resolution Stereo Satellite Data for a selected part of Southeast Bangladesh

2011 ◽  
Vol 4 (1) ◽  
pp. 500-502
Author(s):  
Md. Fazlul Haque ◽  
◽  
Md. Mostafizur Rahman Akhand ◽  
Dr. Dewan Abdul Quadir
Keyword(s):  
High Resolution ◽  
Satellite Data
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