A Study of Enhanced Index-based Built-up Index Based on Landsat TM Imagery

doi:10.6046/gtzyyg.2012.02.10

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Abstract A new method for extraction of built-up land information both in suburban area and in urban district by using Landsat TM/ETM⁺ imagery is proposed in this paper. Firstly, to suppress the information of bare soil with the middle-infrared(TM7), near-infrared(TM4) and green band (TM2), it is necessary to build a secondary index, which is called normalized difference bareness and built-up index(NDBBI). At the same time, to enhance the information of bare soil from existing indices of bare soil index(BSI)and modified normalized difference water index(MNDWI), another secondary index is built, which is called enhanced bare soil index(EBSI). Finally, the indices of NDBBI, EBSI, SAVI and MNDWI are applied to constructing a new index for delineating built-up land features in satellite imagery, which is called enhanced index-based built-up index(EIBI). The new index(EIBI)can be employed to extract the built-up land information both in suburban area and in urban district. This approach has been successful in Fuzhou and Zhangzhou experimental regions. Built-up features can be extracted objectively and sufficiently with the accuracy above 90%.

Keywords SPOT 5 data rare earth resources land form remote sensing quantitative forecast

TP 751.1

Issue Date: 03 June 2012

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	WANG Geng-ming
	HUANG Tie-lan
	ZHU Jun-feng
	XU Yan-jun

Cite this article:

WANG Geng-ming,HUANG Tie-lan,ZHU Jun-feng, et al. A Study of Enhanced Index-based Built-up Index Based on Landsat TM Imagery[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(2): 50-55.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.02.10 OR https://www.gtzyyg.com/EN/Y2012/V24/I2/50

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