Liu Dianfeng, male, associate professor of School of Resources and Environmental Sciences, Wuhan University, supervisor of master students, presided over 2 projects of National Natural Science Foundation, National Postdoctoral Science Foundation 1 and Hubei Postdoctoral Fund 1. The research backbone participated in a number of national science and technology support programs, 863 programs and special scientific research projects in public welfare industries. As a land use policy, chemical circle, environment and planning B- planning &; Design is a reviewer of Journal of China Academy of Sciences, Journal of Wuhan University, Information Science Edition, Agricultural Resources and Zoning in China and Journal of Resources and Environment in the Yangtze River Basin.
Chinese name: Liu Dianfeng
Nationality: China.
Occupation: teacher
Graduate school: Wuhan University
Main achievements: "35 1 talent plan" Luo Jia young scholars
The first prize of the National Geographic Information Science and Technology Progress Award
Masterpiece: Study on Collaborative Coupling and Planning of Regional Land Use
Title: Associate Professor
outline
Teaching background
2006.9 ~ 20 1 1.6, School of Resources and Environmental Sciences, Wuhan University, Ph.D. in Land Resource Management;
From September 2002 to July 2006, majoring in resource environment and urban and rural planning management, School of Resources and Environment, Wuhan University, Bachelor of Science;
Business experience
20 16. 10 ~, Associate Professor, School of Resources and Environmental Sciences, Wuhan University;
2015.10 ~ 2016.09, visiting scholar at the university of north Carolina at Charlotte, USA;
2013.10 ~ 2015.09, School of Resources and Environmental Sciences, Wuhan University, lecturer;
2011.09 ~ 2013.09, postdoctoral mobile station of geography, Wuhan University;
Teaching course
Undergraduate courses: quantitative geography, landscape ecology, remote sensing application of resources and environment;
Postgraduate courses: econometric geography, the framework and theory of geographical national monitoring;
Scientific research guidance: 20 13 years, guiding the national college students' innovation and entrepreneurship training program project 1 piece; 20 15, Excellent Bachelor's Degree Thesis of Hubei Province: Analysis of the Impact of Land Use Landscape on Unsteady Land Surface Temperature.
Bonus; prize
20 16 was selected as a young scholar in "35 1 talent plan".
20 15 won the excellent instructor of Hubei bachelor's degree thesis.
20 14 won the first prize of National Geographic Information Technology Progress Award "Key Technologies and Applications of Intelligent Space Optimization".
20 13 won the first prize of the National Geographic Information Science and Technology Progress Award, Development and Application of Remote Sensing Information Extraction and Monitoring Information System for Degraded Wasteland.
20 1 1 passed the appraisal of scientific and technological achievements of the Ministry of Education, and evaluated the key technologies and applications of all-digital multi-purpose land resources.
20 10 won the second prize of outstanding talents in surveying and mapping entrepreneurship and scientific and technological innovation in summer.
scientific research
research field
Sustainable utilization of regional land resources
Modeling and Development of Geographic Information System
Geospatial analysis and optimization decision
Theory and model of intelligent geographic computing
project
20 18-202 1, general project of national natural science foundation, research on optimal allocation of adaptive regional land use coupling the characteristics of gradual/abrupt evolution process, project leader.
20 15-20 17, youth project of national natural science foundation, study on dynamic sampling network optimization model of soil organic carbon coupled with spatio-temporal continuous non-stationary characteristics, project leader.
20 13-20 14, general project of China postdoctoral science foundation, research on optimization model of geographical national monitoring network under temporal and spatial characteristics constraints, project leader.
20 12-20 13, postdoctoral funded project of Hubei province, research on high-performance intelligent model of land use optimization decision, project leader.
20 12-20 13, special fund for basic scientific research business expenses of central universities, optimization research of geographical national conditions monitoring network considering spatial non-stationarity, project leader.
20 14-20 15, scientific research project of surveying and mapping geographic information public welfare industry, research on key technologies of spatio-temporal data mining of geographical national conditions, technical director.
20 1 1-20 13, National "Twelfth Five-Year Plan" 863 Project, Parallel Technology and Middleware Development of Intelligent Geocomputing, Technical Director.
2008-20 10, National Eleventh Five-Year Science and Technology Support Plan Project, Development of Rural Land Evaluation and Analysis System, the backbone of the project.
2008-20 10, National Eleventh Five-Year Science and Technology Support Plan Project, Key Technologies of Regional Land Use Collaborative Coupling and Planning, main research project.
In 2007-2008, the National Eleventh Five-Year Plan 863 Project "Research on Multi-scale Spatio-temporal Data Mining for Land Use" was the main research project.
achievements in scientific research
Academic paper
Liu, Tang, Liu, et al. optimalrullalanduseallocationcentral China:Linkingtheeffectofspatiotemporalpatternsandpolicyinterventions。 Applied Geography, 2017,86 (9):165-182.
Liu, Wang, Liu, et al. anaadaptivedualclusteringalgorithmtbasedonhierarchical structure:Acasestudyofsettlementzoning。 Transaction information system, 2017,21(5): 916-933.
Wang Mingzhi, Liu Dongfeng *, Jia Jiali, Zhang Xiaoyun. globaltrendsinsoilmonitoringresearch from 1999-20 13:abibilimetricanalysis。 Journal of agriculture b- soil and agriculture. Plant Science, 2015,65 (6): 483-495
XiaY，LiuDF*，LiuYL，HeJH，HongXF。 Alternativezoningscenariosfor region alsustainaleandusecontrolsinchina: a multi-objective optimization model based on knowledge. Center for International Environmental Studies, 20 14, 1 1(9):8839-8866.
KongXS，*LiuYL，LiuXJ，ChenYY，LiuDF。 Topographic map of Hubei Province in China. JournalofMaps，20 14， 10( 1):26-34
Liu, Liu, Wang and Zhao. Multi-objective network optimization of soil monitoring in China Loess Plateau, discrete dynamics, 20 14, doi:10.1155/2014/805175.
YuanM，LiuYL，HeJH，LiuDF。 Caidian district, Wuhan City, China. Cartography and Geographic Information Science, 2014,41(4): 363-378.
HeJH，LiuYL，YuY，TangWW，XiangWN，LiuDF。 Agricultural protection policies in major grain-producing areas of China. Applied Geography, 2013,37:127-138
LiuYL，LiuDF，LiuYF，HeJH，JiaoLM，ChenYY，HongXF。 rurallandusespatiallallocationinthesemiaridloeskillyareainchina:usingaparticleswarmoptimizationmodelequipped with multi-objective optimization techniques。 China science, 2012,55 (7):1166-1177.
Liu Dianfeng, Liu Yanfang. Multi-objective soil spatial sampling optimization model with knowledge constraints. Journal of Wuhan University (Information Science Edition), 20 14,1:1282-1286.
Liu Yaolin, Zhao Xiang, Liu Dianfeng. Artificial immune parallel decision support system for optimal allocation of land use. Journal of Wuhan University (Information Science Edition), 2014,02:166-171.
Liu Dianfeng, Liu Yaolin, Liu Yanfang, Zhao Xiang. Multi-objective particle swarm optimization algorithm for spatial allocation of land use. Journal of Wuhan University (Information Science Edition), 2013,38 (6): 751-755.
Zhao Xiang, Liu Yaolin, Liu Dianfeng. Research on spatial optimization platform of artificial immune intelligence based on plug-in technology. Journal of National University of Defense Technology, 2013,02:164-168.
Liu Dianfeng, Liu Yaolin, Zhao Xiang. Multi-objective micro-neighborhood particle swarm optimization algorithm and its application in soil spatial optimization sampling. Journal of Surveying and Mapping, 20 13, 05:722-728+737.
Liu Dianfeng, Liu Yaolin, Hong Xiaofeng. Design and implementation of 3S monitoring and evaluation system for degraded land in villages and towns. Surveying and Mapping Science, 20 1 1, 02: 2 13-2 15.
Liu Yaolin, Liu Dianfeng *, Hong Xiaofeng, Yan Xia. Evaluation model of land degradation degree based on knowledge reasoning. Journal of Wuhan University (Information Science Edition), 20 10/0,35 (10):1250-1254.
Paper progress:
Liu Yanfang Liu Yaolin Liu Dianfeng Zhao Xiang. A parallel multi-objective particle swarm optimization model is used to design the oil-immersed belt network. 20 1220 International Conference on Geoinformatics, Geoinformatics, 20 12
Liu Dianfeng, * Liu Yaolin, Xia Yin, Hong Xiaofeng, Zhao Zhongjun. Index model of spatial multi-scale degraded land evaluation. International Symbol Space Analysis, Spatio-temporal Data Modeling and Data Mining, 2009
Participate in monographs
Study on Collaborative Coupling and Planning of Regional Land Use, China Geological Publishing House, 20 12.
Development and Application of Remote Sensing Information Extraction and Monitoring Information System for Degraded Wasteland, China Geological Publishing House, 20 12.
patent of invention
Liu Yaolin, Liu Dianfeng, He Jianhua, Jiao Limin. A design method of spatial sampling scheme for centralized and decentralized geographical elements, ZL 2011044915.9.
Liu Yaolin, Liu Dianfeng, Liu Yanfang, Zhao Xiang. A design method of multi-objective collaborative sampling scheme for randomly distributed geographical elements, ZL 20110449613. X.
Liu Yaolin, Zhao Xiang, Liu Dianfeng, He Jianhua, Jiao Limin, Tang Xu. Quantitative method of land resources quality evaluation factors in parallel space, ZL 20121015165438. X.
Liu Yaolin, He Jianhua, Liu Dianfeng. An automatic land use zoning method, ZL2009 102728 14. X+04。 X.