马超,男,汉族,1967年6月生,博士/教授,硕士研究生导师。主要从事综合遥感矿区环境与地质灾害监测预警的教学与科研工作。主要研究方向: 矿区生态环境遥感,矿区地质灾害遥感. 主持国家自然基金、国家重点实验室开放基金、山西省科技攻关项目各1项,横向合作项目逾25项。发表论文69篇(SCI收录6篇、EI收录18篇),出版教材及专著3 部,获得省部级科技奖励3项。其主要学术贡献有二:其一,矿区生态环境遥感方面,提出了干旱-半干旱开采沉陷区“植被指数—净初级生产力”时空变化预测模型;其二,矿区地质灾害遥感方面,以大同、潞安、鹤壁、神东矿区为例,采用合成孔径雷达技术一定程度上解释了“地下开采—地表沉陷”的时空耦合机理。 电子信箱: [email protected] 联系电话: 18539159811 指导方向: 测绘科学与技术(学术型);测绘工程(专业型) 科研情况: [1] 2011.04-2012.04,庞庞塔煤矿井上、下测量系统一体化的理论与方法研究,霍州煤电集团吕临能化有限公司H11-206,(38.61万)第一主持人 [2] 2011.11-2012.01,基于InSAR同震形变场反演汶川Ms8.0地震非均匀滑动,中国地震局基本科研业务项目IGCEA0908项目,(5.0万)第一主持人 [3] 2012.06-2014.06,漳村煤矿贯通测绘工程,潞安集团漳村矿2012-006,(86.0万)第一主持人 [4] 2013.01-2015.12,沉陷区高分辨率SAR散射特征变化规律研究,国家自然科学基金委员会与神华集团有限责任公司联合资助项目U1261106,(60.0万)第一主持人 [5] 2013.01-2016.12,高强度开采地表生态环境演变机理与调控,国家自然科学基金委员会与神华集团有限责任公司联合资助项目U1261206,(240.0万)合作者(5/15) 论文情况 (仅列第一作者或通讯作者SCI/EI): [1] Ma Chao,Shan Xinjian. 2006. A multi-segment analytic modeling of hypocentralgeometric characteristic parameters of the Ms 8.1 earthquake at the KnulunMountains. Chinese J. Geophys. 49(2): 428-437 SCI:No.026ZK (JA) [2] Ma Chao,Guo Zengzhang, Zhang Xiaoke, Han Ruimei. 2011. Annual Integral Changesof Time Serial NDVI in Mining Subsidence Area. Transactions of Nonferrous MetalsSociety of China, Vol. 21special3:s583-588 SCI: 000299859800013(JA) [3] Ma Chao,Shan Xinjian. 2006. Decomposeing InSAR LOS displacement into co-seismicdislocation with a linear interpolation model: A case study of the KunlunMountain Ms=8.1 earthquake. Acta Seismologica Sinica. 19(1):100-107 EI: 04488688882 (JA) [4] Ma Chao, Zhang Xiaoke, Guo Zengzhang,Wu Lixin. 2013. Spatial-Temporal Variation of Vegetation Index Caused byMining Subsidence in Semi-Aris Mountain Regions. Research ofEnvironmental Sciences, 26(7):751-759.(in Chinese with Englishabstract) EI: 20133416646571 (JA) [5] Ma Chao,Qu Chunyan, Meng Xiujun. 2014. Embankment Stability of North Section inHenan Province of Middle Route Project (MRP) in South-to-North Water DiversionProject Based on InSAR Timing Series Analysis.Seismology and geology,36(3):749-762, (in Chinese with English abstract) EI: 201444136108 (JA) [6]Zhao Ning, MaChao*,Yang Yali. 2016. Water quality variation of LakeHongjiannao and its driving force analysis,1973-2013[J]. J Lake Sci, 2016, 27(3): 139-151. EI:201644136158 (JA) [7]MA Chao,TIAN Shu-jing, ZOU You-feng, et al. 2016. Dynamic responses of thecoalfield ecosystem to mining intensity, spatio-temporal variation, and climatechange derived from AVHRR/NDVI in Shendong coalfield[J].China EnvironmentalScience, 2016,34(6):111-222. EI:(Tobe retrieved) [8] Ma Chao. 2014.A study of mining-induced subsidence in Hebi coalfield based on D-InSAR.2014SPIE Asia-Pacific Remote Sensing,BJ,2014,10,13-17:Proc. of SPIE Vol. 9260:92601D1-13 doi:10.1117/12.2069257 EI: 20150700532598(CA) [9] Ma Chao,Li Fangfang. 2011. Ecological Environment Monitoring of MiningSubsidence Area Based on Multiple Vegetation Indices. 2012 World AutomationCongress,24-28 June Puerto Vallarta,Mexico,WAC2012,Part B,Vol.4:1625-1628 EI: 20125015797441 (CA) [10] Ma Chao,Zhang Guifang, Ma Xuedong et al. 2009. Modeling Depth Displacement ofMs8.1Kunlun Earthquake by Boundary Conditions of D-InSAR Co-Seismic DeformationField. The 6th International Conference on Fuzzy Systems and KnowledgeDiscovery. August 14-16, FSKD2009.Tianjin, China. Vol.(5):141-144 EI: 20100712715409 (CA) [11] Zhang Xiaoke; MaChao*; Hu Haifeng; Li Fangfang. 2009. Radiometric Correction Basedon Multi-temporal SPOT Satellite Images. 2009 International Conference onWireless Communications and Signal Processing, WCSP 2009, Nanjing,China. Accession number: 9781424456680 EI:20101012760632(CA) [12] Hao Bingyuan, MaChao*, Zhang Guifang et al. 2008. Analyzing Decorrelation ofmulti-temporal SAR Data on InSAR, 2008 International Congress on Image andSignal Processing, 27-30 May CISP2008, Sanya, China. Vol.(1):452-461 EI:20083911583900(CA) [13] Fu Peiyi, MaChao*, Li Fangfang, Lu Li. 2011. Decision Tree Classifier of Coal& Gangue Stack Areas-A Study Case of WUYANG Mining Area. 2011 4thInternational Congress on Image and Signal Processing, 15-17 October CISP2011.Shanghai, China., v3, p:1619-1622. EI:20120214678485(CA)