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Proceedings Paper

Spatial heterogeneity study of vegetation coverage at Heihe River Basin
Author(s): Lijuan Wu; Bo Zhong; Liyu Guo; Xiangwei Zhao
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Paper Abstract

Spatial heterogeneity of the animal-landscape system has three major components: heterogeneity of resource distributions in the physical environment, heterogeneity of plant tissue chemistry, heterogeneity of movement modes by the animal. Furthermore, all three different types of heterogeneity interact each other and can either reinforce or offset one another, thereby affecting system stability and dynamics. In previous studies, the study areas are investigated by field sampling, which costs a large amount of manpower. In addition, uncertain in sampling affects the quality of field data, which leads to unsatisfactory results during the entire study. In this study, remote sensing data is used to guide the sampling for research on heterogeneity of vegetation coverage to avoid errors caused by randomness of field sampling. Semi-variance and fractal dimension analysis are used to analyze the spatial heterogeneity of vegetation coverage at Heihe River Basin. The spherical model with nugget is used to fit the semivariogram of vegetation coverage. Based on the experiment above, it is found, (1)there is a strong correlation between vegetation coverage and distance of vegetation populations within the range of 0~28051.3188m at Heihe River Basin, but the correlation loses suddenly when the distance greater than 28051.3188m. (2)The degree of spatial heterogeneity of vegetation coverage at Heihe River Basin is medium. (3)Spatial distribution variability of vegetation occurs mainly on small scales. (4)The degree of spatial autocorrelation is 72.29% between 25% and 75%, which means that spatial correlation of vegetation coverage at Heihe River Basin is medium high.

Paper Details

Date Published: 8 November 2014
PDF: 8 pages
Proc. SPIE 9259, Remote Sensing of the Atmosphere, Clouds, and Precipitation V, 925921 (8 November 2014); doi: 10.1117/12.2073041
Show Author Affiliations
Lijuan Wu, Xi'an Univ. of Science and Technology (China)
Institute of Remote Sensing and Digital Earth (China)
Bo Zhong, Institute of Remote Sensing and Digital Earth (China)
Liyu Guo, Xi'an Univ. of Science and Technology (China)
Xiangwei Zhao, China Univ. of Mining and Technology (China)


Published in SPIE Proceedings Vol. 9259:
Remote Sensing of the Atmosphere, Clouds, and Precipitation V
Eastwood Im; Song Yang; Peng Zhang, Editor(s)

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