APPLICATION OF LANDSAT THEMATIC MAPPER DATA TO LANDUSE CLASSIFICATION AND THEMATIC INFORMATION EXTRACTION IN SUBTROPICAL ECONOMIC FOREST ZONE

doi:10.6046/gtzyyg.1994.02.05

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Abstract

Abstract The test-area of 256 × 256 pixels sub-image within Huangyan county, Zhejiang province, was selected for application of landsat TM data to landuse classifcation and thematic information extraction studies. A method of integrated supervised classifier(dynamical clustering) with unsupervised classifier (minimal distanse) is used, the results are very satisfactory. The information of citrus trees distribution is also extracted successfully, the accuracy is 95. 3%. The research provided a efficent approch to invistigate the economic forest resource and detect its change rapidly in subtropical area.

Keywords Remote sensing Ground sinking Dynamic inspection Seeper

Issue Date: 02 August 2011

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	WANG Bao-Cun
	MIAO Fang
	YAN Ming-Xing
	LAI De-Jun
	CHEN Jian-Hua
	YE Ying

Cite this article:

WANG Bao-Cun,MIAO Fang,YAN Ming-Xing, et al. APPLICATION OF LANDSAT THEMATIC MAPPER DATA TO LANDUSE CLASSIFICATION AND THEMATIC INFORMATION EXTRACTION IN SUBTROPICAL ECONOMIC FOREST ZONE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1994, 6(2): 28-33.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1994.02.05 OR https://www.gtzyyg.com/EN/Y1994/V6/I2/28

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