基于过程对象的地表覆盖变化时空过程表达模型

doi:10.13278/j.cnki.jjuese.201703305

Abstract

Abstract: Spatio-temporal (ST) process expression is the basis of ST data analysis, pattern mining and other ST research hotspots. This paper presents a model of ST process expression based on processes objects, and describes methods of detection and management for ST process, in the point of view of land use/cover change (LUCC) ST data analysis and change pattern mining. Land cover patches are taken as ST objects in the model. The self-changes of a single patch and transformations between patches are expressed in the form of the ST process of the ST objects. We can express a wider range of ST changes by grouping ST processes of patches, so that the model can connect the patches changes to landscape pattern changes. This model can be used in areal geographic entity ST evolution simulation and change pattern mining. To verify the validity of the model, land cover data of Heilongjiang Daxing'anling area is used for case study, including ST process object creation, data retrieval and analysis.

Key words: spatio-temporal change, land cover, spatio-temporal process object

CLC Number:

P208

Li Yinchao, Li Jiansong. A Spatio-Temporal Process Expression Model for Land Cover Based on Process Object[J].Journal of Jilin University(Earth Science Edition), 2017, 47(3): 916-924.

References

[1] 李建松, 唐雪华. 地理信息系统原理 [M]. 第二版. 武汉: 武汉大学出版社, 2015. Li Jiansong, Tang Xuehua. The Principle of Geographic Information System[M]. 2nd ed. Wuhan: Wuhan University Press, 2015.
[2] 朱利凯, 蒙吉军. 国际 LUCC 模型研究进展及趋势 [J]. 地理科学进展, 2009, 28(5): 782-790. Zhu Likai, Meng Jijun. Advance in and Tendencies of Land Use and Cover Change Model[J]. Progress in Geography, 2009, 28(5): 782-790.
[3] Risser P G, Iverson L R. 30 Years Later-Landscape Ecology: Directions and Approaches April 25-27, 1983 Allerton Park, Illinois, USA [J]. Landscape Ecology, 2013, 28(3): 367-369.
[4] Verburg P H, Schot P P, Dijst M J, et al. Land Use Change Modelling: Current Practice and Research Priorities [J]. GeoJournal, 2004, 61(4): 309-324.
[5] Lambin E F, Geist H J. Land-Use and Land-Cover Change [M]. Berlin: Springer, 2006.
[6] 刘纪远, 邓祥征. LUCC 时空过程研究的方法进展 [J]. 科学通报, 2009, 54(21): 3251-3258. Liu Jiyuan, Deng Xiangzheng. Progress of the Research Methodologies on the Temporal and Spatial Process of LUCC[J]. Chinese Sci Bull, 2009, 54(21): 3251-3258.
[7] Peuquet D J, Duan N. An Event-Based Spatiotemporal Data Model (ESTDM) for Temporal Analysis of Geographical Data [J]. International Journal of Geographical Information Systems, 1995, 9(1): 7-24.
[8] 孟令奎, 赵春宇, 林志勇, 等. 基于地理事件时变序列的时空数据模型研究与实现[J]. 武汉大学学报(信息科学版), 2004, 28(2): 202-207. Meng Lingkui, Zhao Chunyu, Lin Zhiyong, et al. Research and Implementation of Spatio-Temporal Data Model Based on Time-Varying Sequence of Geographical Events[J]. Geomatics and Information Science of Wuhan University, 2004, 28(2): 202-207.
[9] Sadahiro Y, Umemura M. Spatio-Temporal Analysis of Polygon Distributions: Event-based Approach[Z]. CiteSeer, 2000.
[10] 吴长彬, 闾国年. 一种改进的基于事件-过程的时态模型研究 [J]. 武汉大学学报(信息科学版), 2009, 33(12): 1250-1253. Wu Changbin,Lü Guonian. Research on Event-Process Based Spatio-Temporal Model[J]. Geomatics and Information Science of Wuhan University, 2009, 33(12): 1250-1253.
[11] 薛存金, 周成虎, 苏奋振, 等. 面向过程的时空数据模型研究 [J]. 测绘学报, 2010, 39(1): 95-101. Xue Cunjin, Zhou Chenghu, Su Fenzhen, et al. Research on Process-Oriented Spatio-Temporal Data Model[J]. Acta Geodaetica et Cartographica Sinica, 2010, 39(1): 95-101.
[12] Cheung A K L, O'sullivan D, Brierley G. Graph-Assisted Landscape Monitoring [J]. International Journal of Geographical Information Science, 2015, 29(4): 1-26.
[13] Mcintosh J, Yuan M. A Framework to Enhance Se-mantic Flexibility for Analysis of Distributed Phenomena [J]. International Journal of Geographical Information Science, 2005, 19(10): 999-1018.
[14] 李寅超, 李建松. 一种面向LUCC的时空数据存储管理模型 [J]. 吉林大学学报(地球科学版),2017,47(1):294-304. Li Yinchao, Li Jiansong. A Spatiotemporal Data Model for LUCC[J]. Journal of Jilin University (Earth Science Edition),2017,47(1):294-304.
[15] Forman R T T. Land Mosaics: The Ecology of Land-scapes and Regions [M]. 9th ed. Cambridge: Cambridge University Press, 2006.
[16] 张娜. 景观生态学 [M]. 北京: 科学出版社, 2014. Zhang Na. Landscape Ecology[M]. Beijing: Science Press,2014.
[17] 邬建国. 景观生态学:格局、过程、尺度与等级 [M]. 北京:高等教育出版社, 2007. Wu Jianguo.Landscape Ecology: Pattern, Process, Scale and Hierarchy[M]. Beijing: Higher Education Press, 2007
[18] Loveland T, Belward A. The IGBP-DIS Global 1 km Land Cover Data Set, Discover: First Results [J]. International Journal of Remote Sensing, 1997, 18(15): 3289-3295.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

A Spatio-Temporal Process Expression Model for Land Cover Based on Process Object

PDF (PC)

Abstract

Cite this article

share this article

References

Related Articles 5

Metrics

Comments

Recommended 0

[1]	Li Xiaodong, Jiang Qigang. Land Cover Classification Method Based on Multi-Temporal Satellite Images: Taking Western Jilin Region as an Example [J]. Journal of Jilin University(Earth Science Edition), 2017, 47(3): 907-915.
[2]	Yang Xuefeng, Wang Xuemei, Mao Donglei. Mapping Land Use and Land Cover Through MISR Multi-Angle Imagery in the Lower Tarim River [J]. Journal of Jilin University(Earth Science Edition), 2016, 46(2): 617-626.
[3]	Li Hongyan, Tian Qi, Wang Xiaojun, Wang Hongrui, Yu Wenquan. Analysis on the Laws of Spatio-Temporal Changes of Runoff in Nenjiang River Basin [J]. Journal of Jilin University(Earth Science Edition), 2014, 44(4): 1282-1289.
[4]	Zhu Changming, Li Junli,Zhang Xin, Luo Jiancheng, Shen Zhanfeng. Wetlands Mapping and Spatio[CD*2]Temporal Change Analysis: A Case Study on Bosten Basin，Xinjiang [J]. Journal of Jilin University(Earth Science Edition), 2013, 43(3): 954-961.
[5]	LI Fa-wen, FENG Ping, ZHANG Chao. Vertically-Mixed Runoff Model and Application in Beisan River of Tianjin [J]. J4, 2011, 41(2): 459-464.