Automated identification of swamp land incorporating Landsat imaging and GIS data

Genong Yu; Dingchang Liu; Huamao Zhou; Liangxiu Zen; Yafeng Zhong; Chi Zhang

doi:10.1117/12.317801

17 August 1998 Automated identification of swamp land incorporating Landsat imaging and GIS data

Genong Yu, Dingchang Liu, Huamao Zhou, Liangxiu Zen, Yafeng Zhong, Chi Zhang

Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317801
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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.

Citation Download Citation

Genong Yu, Dingchang Liu, Huamao Zhou, Liangxiu Zen, Yafeng Zhong, and Chi Zhang "Automated identification of swamp land incorporating Landsat imaging and GIS data", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317801

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