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REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 98-105     DOI: 10.6046/gtzyyg.2017.04.15
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Applicability and simplification study of patch level landscape metrics based on GLC30
ZHANG Qianning1, TAN Shiteng1,2, XU Zhu1,2,3, HUANG Zechun1,2
1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
2. State-province Joint Engineering Laboratory of Spatial Information Technology for High-speed Railway Safety, Chengdu 610031, China;
3. Collaborative Innovation Center for Rail Transport Safety Ministry of Education of the People’s Repulic of China, Chengdu 610031, China
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Abstract  Patch is the basic unit in landscape pattern and patch metrics constitute an important basis for quantifying patch morphology. Presently there are many patch level metrics and most of them have certain redundancy. Therefore for the purpose of applying patch metrics reasonably, the objectives of this paper are the applicability analysis of patch morphological metrics, the multiple-index analysis based on the patch morphological metrics and reducing many patch metrics to several patch metrics to express different patches. by the correlation analysis and principal component analysis. The experiment is on the basis of applicability analysis about 11 patch morphological metrics with global land cover data (GLC30), and all the metrics except area and perimeter are simplified by the two analysis methods. The experiment result shows that the two patch metrics, radius of gyration and support radius, could express and describe the different morphological patches well. The experimental results could serve as an important reference for the quantitative study of the scale effect in the landscape pattern.
Keywords multi - source and massive      domestic satellite image data      high quality data automatic filtering      intelligent optimization of image     
:  TP79  
Issue Date: 04 December 2017
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ZHENG Xiongwei
WEI Yingjuan
LI Chunying
LEI Bing
GAN Yuhang
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ZHENG Xiongwei,WEI Yingjuan,LI Chunying, et al. Applicability and simplification study of patch level landscape metrics based on GLC30[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 98-105.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.04.15     OR     https://www.gtzyyg.com/EN/Y2017/V29/I4/98
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[1] ZHENG Xiongwei, WEI Yingjuan, LI Chunying, LEI Bing, GAN Yuhang. The realization of intelligent optimization based on multi-source and massive domestic satellite image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 13-20.
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