BROWSE

Related Researcher

Author's Photo

Im, Jungho
Intelligent Remote sensing and geospatial Information Science (IRIS) Lab
Research Interests
  • Remote sensing, Geospatial modeling, Disaster monitoring and management, Climate change

ITEM VIEW & DOWNLOAD

A Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site Monitoring

Cited 9 times inthomson ciCited 6 times inthomson ci
Title
A Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site Monitoring
Author
Jensen, John R.Hodgson, Michael E.Garcia-Quijano, MariaIm, JunghoTullis, Jason A.
Keywords
Data types;  Hazardous waste sites;  Hazardous wastes;  Human expert knowledge;  Human populations;  In-situ;  Multi-spectral;  Production rules;  Remote sensing and gis;  Remote sensors;  Savannah river national laboratories;  South carolina;  Spatial decision support systems;  Thematic informations;  Time lags;  Waste sites
Issue Date
2009-02
Publisher
AMER SOC PHOTOGRAMMETRY
Citation
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, v.75, no.2, pp.169 - 177
Abstract
Humans produce large amounts of waste that must be processed or stored so that it does not contaminate the environment. When hazardous wastes are stored, waste site monitoring is typically conducted in situ which can lead to a serious time lag between the onset of a problem and detection. A Remote Sensing and GIS-assisted Spatial Decision Support System for Hazardous Waste Site Monitoring was developed to improve hazardous waste site management. The system was designed to be recursive, flexible, and integrative. It is recursive because the system is implemented iteratively until the risk assessment subsystem determines that an event is no longer a problem to the surrounding human population or to the environment. It is flexible in that it can be adapted to monitor a variety of hazardous waste sites. The system is integrative because it incorporates a number of different data types and sources (e.g., multispectral and lidar remote sensor data, numerous type of thematic information, and production rules), modules, and human expert knowledge of the hazardous waste sites. The system was developed for monitoring hazardous wastes on the Savannah River National Laboratory near Aiken, South Carolina.
URI
https://scholarworks.unist.ac.kr/handle/201301/8280
ISSN
0099-1112
Appears in Collections:
UEE_Journal Papers
Files in This Item:
There are no files associated with this item.

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU