DocumentCode
1994857
Title
Remote sensing and GIS application in environmental effect monitoring of great engineering: Indicators and method
Author
Hu, Zhuowei ; Liu, Hongqi ; Wang, Xiaoshuang ; Dang, Yanan ; Wang, Zhiheng ; Yu, Menglian ; Zhang, Mingzhi
Author_Institution
Lab. of Resources Environ., Capital Normal Univ., Beijing, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
5
Abstract
Major engineering attract much attention due to its possible environmental impact. Taking three different engineering types as cases, this article introduces the method to monitor them and their environmental effect. On the base of suitable remote sensing data selection, monitoring indicators (factors) were discussed thinking of phase-oriented and object-oriented combination strategy. Aiming to reflect and understand the engineering´s impact on environment and its procedure, a set of evaluation method was designed and discussed. This article put forward preliminary suggestion in monitoring category, monitoring content, remote sensing data, indicator (system) and method design for using remote sensing to realize environmental effect assessment of major engineering. It will guide and provide references to the systematically monitoring and assessment of major engineering environmental effect with reasonable scale.
Keywords
engineering; environmental factors; geographic information systems; geophysical techniques; monitoring; remote sensing; GIS application; engineering; environmental effect assessment; environmental effect monitoring; environmental impact; monitoring content; monitoring indicators; object-oriented strategy; phase-oriented strategy; remote sensing data selection; Buildings; Construction industry; Monitoring; Remote sensing; Roads; Spatial resolution; Vegetation mapping; Remote Sensing; environmental effect; great engineering; monitoring;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2010 18th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-7301-4
Type
conf
DOI
10.1109/GEOINFORMATICS.2010.5567660
Filename
5567660
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