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Development of Open Source Software for Multi-temporal Disaster monitoring across network with Dynamic data exchange



เครือข่ายนักวิจัย+ผลงานวิจัย (full screen)


The objective of this study is to develop a web-based Geo-information service using Open Source Software for distributing Multi-temporal data such as Flooded areas Satellite imagery and GIS Base line data, which will be provided through internet to related agencies. In this study, we used NASA World Wind version 1.4.0, which is an open-source software. We also created a plug-in called "Language Switcher" for Thai language user-interface, and customized XML files to Control data display according to request sent to the server. We used Luster Cluster on Linux OS to provide a data cluster for the server. We configured Apache Web Server and UMN MapServer to provide Web Map Service (WMS), which comprised GIS Base line data and disaster data such as map of Flooded areas interpreted from Radarsat and SPOT-5 images, and from Landsat-5 acquired in dry season covering the whole country. The tools that we developed can display GIS Base line data, Multi-temporal disaster data and Satellite images on a fully 3D interactive globe through NASA World Wind, and we called it "Digital Thailand version 1.4.0".

Open Source Software (66 items found) | Multi-temporal data (4 items found) | Satellite imagery (148 items found) | Satellite images (72 items found) | Digital Thailand (1 items found) | Geo-information (6 items found) | NASA World Wind (1 items found) | Multi-temporal (25 items found) | Thai language (165 items found) | Flooded areas (8 items found) | Control data (2 items found) | Base line (2 items found) | Landsat-5 (21 items found) | XML files (2 items found) | Radarsat (15 items found) | Thailand (26450 items found) | Linux OS (3 items found) | NASA (22 items found) | WMS (2 items found) | Electronic data interchange | Computer operating systems | Open-source softwares | Dynamic data exchange | WMSApache web server | Information services | Electric switchgear | Disaster monitoring | Three dimensional | Web map services | User interfaces | Remote sensing | Data clusters | Dry seasons | Map servers | Map server | Plug-ins |

ต้นฉบับข้อมูล : scopus