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Proceedings Paper

Automated identification of swamp land incorporating Landsat imaging and GIS data
Author(s): Genong Yu; Dingchang Liu; Huamao Zhou; Liangxiu Zen; Yafeng Zhong; Chi Zhang
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Paper Abstract

The paper describes an on-going project on the potential study of Landsat TM for the monitoring of wetland resources with a concern ofpeat deposit. The method is to mcoiporate remotely-sensed data and ground-based GIS data to improve the accuracy of automated interpretation. The main systems used in the project are ER MAPPER (UNiX VERSION) and ARC/iNFO. The study area is Ruergai plateau in the southwest of China. Preliminary results show the following improvements. (1) The outlines of the swamp are clearly drawn out by incorporating geomorphical data and the accurncy is reasonable. (2) The estimation of peat deposit could be unproved with the DEM data. (3) The whole procedure can be easily and automatically repeated when new data are available.

Paper Details

Date Published: 17 August 1998
PDF: 3 pages
Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); doi: 10.1117/12.317801
Show Author Affiliations
Genong Yu, Chengdu Subctr. of Agricultural Remote Sensing (China)
Dingchang Liu, Chengdu Subctr. of Agricultural Remote Sensing (China)
Huamao Zhou, Chengdu Subctr. of Agricultural Remote Sensing (China)
Liangxiu Zen, Chengdu Subctr. of Agricultural Remote Sensing (China)
Yafeng Zhong, Chengdu Subctr. of Agricultural Remote Sensing (China)
Chi Zhang, Chengdu Subctr. of Agricultural Remote Sensing (China)


Published in SPIE Proceedings Vol. 3502:
Hyperspectral Remote Sensing and Application
Robert O. Green; Qingxi Tong, Editor(s)

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