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
Link To Document :
بازگشت