Utilizing Remote Sensed Data in a Quick Response System
نویسندگان
چکیده
We propose to optimize the use of new computer power, observational data systems, and telecommunication capabilities to extract and utilize remote sensed data available from a variety of means. This optimization is crucial in the sense that extracted both meteorological and surface characteristics datasets will be crucial for the use in an emergency response system. We will combine real-time remote sensing systems, existing remote sensing databases, conventional weather observational databases, and GIS together to provide necessary high spatial and temporal data sets necessary for an emergency response system to mitigate against hazardous material releases into the atmosphere. In this article, we give an overall design and also discuss potential issues for developing such a system. The GIS system will be used to provide access to the geographic information, to support GIS-based computing, and to display the results. Remote sensing databases will be used to provide local area terrain and man-made configuration information such as building shapes. Real-time remote sensing mission is needed for updated information after a massive deconstructive event and for related data assimilation. The distributed online weather data information system will be used to retrieve current and predicted weather parameters. The weather information and the local area geographic information may then be used to feed the selected fast atmospheric transport and dispersion model. The information will be accessed through the Internet following a system-wide specific protocol or open protocols such as those specified by OGC. The system will invoke the model run and convert the model results into GIS compatible format for displaying and for further computation. The final results will be displayed by a GIS/WebGIS based interface, tailored to particular user/agencies.
منابع مشابه
Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks
Sustainability of the global environment is dependent on the accurate land cover information over large areas. Even with the increased number of satellite systems and sensors acquiring data with improved spectral, spatial, radiometric and temporal characteristics and the new data distribution policy, most existing land cover datasets were derived from a pixel-based singledate multi-spectral rem...
متن کاملA New GIS based Application of Sequential Technique to Prospect Karstic Groundwater using Remotely Sensed and Geoelectrical Methods in Karstified Tepal Area, Shahrood, Iran
In this research, recognition of karstic water-bearing zones using the management of exploration data in Kal-Qorno valley, situated in the Tepal area of Shahrood, has been considered. For this purpose, the sequential exploration method was conducted using geological evidences and applying remote sensing and geoelectrical resistivity methods in two major phases including the regional and local s...
متن کاملCoastal water quality assessment based on the remotely sensed water quality index using time series of satellite images
This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavymetals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD02...
متن کاملExploration of Genetic Programming Optimal Parameters for Feature Extraction from Remote Sensed Imagery
Evolutionary computation is used for improved information extraction from high-resolution satellite imagery. The utilization of evolutionary computation is based on stochastic selection of input parameters often defined in a trial-and-error approach. However, exploration of optimal input parameters can yield improved candidate solutions while requiring reduced computation resources. In this stu...
متن کاملDevelopment of an Automatic Land Use Extraction System in Urban Areas using VHR Aerial Imagery and GIS Vector Data
Lack of detailed land use (LU) information and efficient data collection methods have made the modeling of urban systems difficult. This study aims to develop a novel hierarchical rule-based LU extraction framework using geographic vector and remotely sensed (RS) data, in order to extract detailed subzonal LU information, residential LU in this study. The LU extraction system is developed to ex...
متن کامل