Landscape indices with sensor grain size changes in Meitan County，China

LI Jia-jia; WANG Zhi-tai

doi:10.11833/j.issn.2095-0756.2012.03.004

Volume 29 Issue 3

May 2012

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LI Jia-jia, WANG Zhi-tai. Landscape indices with sensor grain size changes in Meitan County，China[J]. Journal of Zhejiang A&F University, 2012, 29(3): 335-343. doi: 10.11833/j.issn.2095-0756.2012.03.004

Citation:

LI Jia-jia, WANG Zhi-tai. Landscape indices with sensor grain size changes in Meitan County，China[J]. Journal of Zhejiang A&F University, 2012, 29(3): 335-343. doi: 10.11833/j.issn.2095-0756.2012.03.004

Landscape indices with sensor grain size changes in Meitan County，China

doi: 10.11833/j.issn.2095-0756.2012.03.004

LI Jia-jia,
WANG Zhi-tai^,

1.
Forestry College，Guizhou University，Guiyang 550025，Guizhou，China

More Information

Corresponding author: WANG Zhi-tai
Received Date: 2011-07-17
Rev Recd Date: 2011-10-14
Publish Date: 2012-06-20

Abstract

Based on the aerial remote sensing image of Meitan in 2010 and the thematic mapper（TM） image of Meitan in 2007，the grain size effect and fitted functions of 15 selected landscape pattern indices，which were divided into five categories of amplitude-accreting：stable decreasing and then stable，undulatory decreasing and then stable，undulatory decreasing，and anomalistic changing，from Meitan County were analyzed with ArcGIS 9，Fragstats 3.3 and SPSS software. Results showed that for the range of the grain size，most of the selected indices had an effect on grain size and there response curves could be fitted with linear function，quadratic function，cubic function，inverse function，power function and logarithmic function. To research the landscape of Meitan County，a suitable range for grain size when computing and analyzing landscape indices was 2-10 m with an aerial remote sensing image and 55-65 m with a TM image. To improve the results，high-resolution image data could be utilized to analyze the landscape pattern of Meitan County.［Ch，2 fig. 2 tab. 19 ref.］
- landscape ecology,
- grain size,
- grain size effect,
- landscape pattern index,
- TM images

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Landscape indices with sensor grain size changes in Meitan County，China

1. Forestry College，Guizhou University，Guiyang 550025，Guizhou，China

Corresponding author: WANG Zhi-tai

Received Date: 2011-07-17

Rev Recd Date: 2011-10-14

Publish Date: 2012-06-20

Key words:

Abstract: Based on the aerial remote sensing image of Meitan in 2010 and the thematic mapper（TM） image of Meitan in 2007，the grain size effect and fitted functions of 15 selected landscape pattern indices，which were divided into five categories of amplitude-accreting：stable decreasing and then stable，undulatory decreasing and then stable，undulatory decreasing，and anomalistic changing，from Meitan County were analyzed with ArcGIS 9，Fragstats 3.3 and SPSS software. Results showed that for the range of the grain size，most of the selected indices had an effect on grain size and there response curves could be fitted with linear function，quadratic function，cubic function，inverse function，power function and logarithmic function. To research the landscape of Meitan County，a suitable range for grain size when computing and analyzing landscape indices was 2-10 m with an aerial remote sensing image and 55-65 m with a TM image. To improve the results，high-resolution image data could be utilized to analyze the landscape pattern of Meitan County.［Ch，2 fig. 2 tab. 19 ref.］

Landscape indices with sensor grain size changes in Meitan County，China

doi: 10.11833/j.issn.2095-0756.2012.03.004

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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