
Proceedings Paper
The water withdraws and spectral characteristic analysis of back groundsurface features in Zengcheng CityFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Many achievements in studies of extracting water have been made in the past ten years.According to the foundation of
remote sensing and spectrum theory, the general extracting principal of remote sensing information is introduced.
Zengcheng was rich in water resources, and it is an idel back garden of Guangzhou city. Therefore, it is important to use
the water resources rationally in Zengcheng.TM image dated 10 November 2006 was elected in this paper.Both
interpreted maps were analyzed and managed by ENVI and ArcGIS software. Single-band threshold method, the
relationship between spectrum, vegetation index and water index method were used in this paper. At last, Water index
method was considered to be the most suitable one after a comparative analysis.In this paper landscape types within the
study area were classified into (1) farmland, (2)forest land, (3)urban Inhabitant land and other land,(4)orchard land,
(5)unused land, (6)water, with the help of Land cover map 2006 of Zengcheng. A reconnaissance survey of the study
area was made to correlate the image characteristics and ground features by the standard technique of human-computer
'dialogue' interpretation.According to the foundation of remote sensing and spectrum theory, a model of water body
extraction is set up in this paper.
Paper Details
Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714528 (3 November 2008); doi: 10.1117/12.813062
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
PDF: 8 pages
Proc. SPIE 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments, 714528 (3 November 2008); doi: 10.1117/12.813062
Show Author Affiliations
Ai Gao, Guangzhou Univ. (China)
Lihua Xia, Guangzhou Univ. (China)
Published in SPIE Proceedings Vol. 7145:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Yong Lao, Editor(s)
© SPIE. Terms of Use
