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