Disaster Monitoring Using ALOS/PALSAR Data

Monitoring and Assessing Post-Disaster Tourism Recovery Using Geotagged Social Media Data

Tourism is one of the most economically important industries. It is, however, vulnerable to disaster events. Geotagged social media data, as one of the forms of volunteered geographic information (VGI), has been widely explored to support the prevention, preparation, and response phases of disaster management, while little effort has been put on the recovery phase. This study develops a scienti...

Accuracy Evaluation of Digital Surface Model Using Alos Prism Data for Disaster Monitoring

The need of accurate measurement is a tactical objective to produce precise information in disaster monitoring. A small movement of land could be a prior index to the biggest landslide. The biggest disasters can lead by a small unnoticeable changes. The measurement of 3 dimensional surfaces changes could be calculated accurately using very high resolution satellite stereo images. The availabili...

Nationwide Flood Monitoring for Disaster Risk Reduction Using Multiple Satellite Data

As part of the contribution to flood disaster risk reduction, it is important to identify and characterize flood areas, locations, and durations. Multiple satellite-based flood mapping and monitoring are an imperative process and the fundamental part of risk assessment in disaster risk management. In this paper, the MODIS-derived synchronized floodwater index (SfWi) was used to detect the maxim...

Disaster Events Detection using Twitter Data

69 Abstract—Twitter is a microblogging service that allows its user to share short messages called tweets with each other. All the tweets are visible on a public timeline. These tweets have the valuable geospatial component and particularly time critical events. In this paper, our interest is in the rapid detection of disaster events such as tsunami, tornadoes, forest fires, and earthquakes. We...

Improved Disaster Management Using Data Assimilation