Disaster Damage Detection and Its Recovery Support System of Road and Railroad Using Satellite Images

نویسندگان

  • M. Kawamura
  • K. Tsujino
  • T. Shimada
چکیده

This paper describes a decision support system based on GIS and satellite remote sensing analysis. Damage triggered by the 2004 Niigata-ken Chuetsu Earthquake was detected using NDVI from SPOT images and texture analysis. Then the emergency transportation route was selected by a cost-based GIS analysis. As the result of the analysis, large-scale damage could be detected with high accuracy. From this information, two types of emergency transportation routes, roads and railways, were identified and evaluated. These results also contribute knowledge for reference in decision making for both recovery support and prevention of secondary disaster.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An efficient method for cloud detection based on the feature-level fusion of Landsat-8 OLI spectral bands in deep convolutional neural network

Cloud segmentation is a critical pre-processing step for any multi-spectral satellite image application. In particular, disaster-related applications e.g., flood monitoring or rapid damage mapping, which are highly time and data-critical, require methods that produce accurate cloud masks in a short time while being able to adapt to large variations in the target domain (induced by atmospheric c...

متن کامل

Oil spill detection using in Sentinel-1 satellite images based on Deep learning concepts

Awareness of the marine area is very important for crisis management in the event of an accident. Oil spills are one of the main threats to the marine and coastal environments and seriously affect the marine ecosystem and cause political and environmental concerns because it seriously affects the fragile marine and coastal ecosystem. The rate of discharge of pollutants and its related effects o...

متن کامل

Automatic Road Detection and Extraction From MultiSpectral Images Using a New Hierarchical Object-based Method

Road detection and Extraction is one of the most important issues in photogrammetry, remote sensing and machine vision. A great deal of research has been done in this area based on multispectral images, which are mostly relatively good results. In this paper, a novel automated and hierarchical object-based method for detecting and extracting of roads is proposed. This research is based on the M...

متن کامل

Determination of the displacement rate of the Masouleh landslide for management of landslide risk by Radar Interferometry

One of the most common natural phenomena occurring in mountainous regions of the world is landslide which causes critical damages and is considered as a natural disaster.  Iran is a country which annually suffers from this disaster and its consequent damage of about 500 billion Rial. Over the last 15 years, an increasing number of researches have aimed to demonstrate the applicability of the im...

متن کامل

Improved Disaster Management through Post-earthquake Building Damage Assessment Using Multitemporal Satellite Imagery

Remote sensing technology is playing an increasingly important role in post-disaster decision support. Organizations including the Earthquake Engineering Research Institute (EERI) and Multidisciplinary Center for Earthquake Engineering Research (MCEER) recognize that following major earthquakes, satellite imagery can bring significant benefits to response and recovery efforts, through urban dam...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010