The water withdraws and spectral characteristic analysis of back groundsurface features in Zengcheng City

Ai Gao; Lihua Xia

doi:10.1117/12.813062

3 November 2008 The water withdraws and spectral characteristic analysis of back groundsurface features in Zengcheng City

Ai Gao, Lihua Xia

Author Affiliations +

Proceedings Volume 7145, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Monitoring and Assessment of Natural Resources and Environments; 714528 (2008) https://doi.org/10.1117/12.813062
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

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Ai Gao and Lihua Xia "The water withdraws and spectral characteristic analysis of back groundsurface features in Zengcheng City", 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); https://doi.org/10.1117/12.813062

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KEYWORDS

Remote sensing

Vegetation

Data modeling

Statistical modeling

Feature extraction

Earth observing sensors

Image segmentation

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