科院考研推荐链接：
研究领域
数字地形分析。基于栅格DEM，对地形要素从地形属性、地形部位等不同层次上进行精细定量刻画，开展建模、算法设计、定量评价、工具研发和示范应用等方面的研究；通过研发知识驱动的地形分析建模环境，使得用户易于应用数字地形分析，获得进行地表过程建模所需的精细地形参数。所设计的多流向算法已被ArcGIS、SAGA等GIS软件所集成。
近期研究兴趣还包括流域模拟和情景分析、智能化地理建模环境、地理计算算法并行化。
招生信息
欢迎具有地理学基础、计算机编程能力强的同学联系报考博士生。计划招收2021级博士生/直博生一名，研究方向“智能化流域建模”，希望学生具有水文学背景和编程能力（入学前至少一方面具有较好基础、且对另一方面有意愿强化提高）。
招收与宁波诺丁汉大学联合培养博士生（2020级），地形地貌定量分析方向，申请信息：https://www.nottingham.edu.cn/en/graduateschool/funding-opportunities/20053dtpbj.aspx
欢迎相关研究领域的博士毕业生联系做博士后。近期本课题组招聘博士后，点击链接访问详细信息。
也同时欢迎刚入学的相关方向研究生联系以客座生的方式做学位论文。
招生方向
教育背景
学位
1997年毕业于东南大学计算机科学与工程系（学士学位）
2000年毕业于中科院兰州地质研究所气体地球化学国家重点实验室（硕士学位）
2004年毕业于中科院地理资源所资源与环境信息系统国家重点实验室（博士学位）。
工作经历
2006年9月至今，中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室，2014年10月晋升研究员。
2004年4月－2006年9月，中科院地理科学与资源研究所做博士后。
教授课程
获奖情况
中国测绘地理信息学会测绘科技进步奖一等奖（“地貌类型分类与精确划分关键技术研究及应用”，个人排名第四），2017
教育部高校自然科学二等奖（“数字地形分析的理论与方法研究”；个人排名第三），2016
"Best Paper Award" of Geomorphometry'2013
中国科学院王宽诚奖励基金，卢嘉锡青年人才奖，2011年
入选"中国科学院青年创新促进会"会员（2012~2015年），2011年；2016年优秀会员
入选中科院地理资源所"秉维优秀青年人才计划"，2011年
出版信息
第一作者（通讯作者）发表文章40余篇（包括20余篇SCI/SSCI），论文发表在IJGIS、Transactions in GIS、Computers & Geosciences、Geomorphology、HESS、EM&S、地理学报、地理研究、地理科学进展、地理科学等期刊中。
非第一作者合作发表论文60余篇（包括30余篇SCI），论文发表在IJGIS、Computers & Geosciences、Environmental Modelling & Software、Geoderma、Soil Science Society of America Journal、Hydrological Processes、PE&RS、土壤学报等期刊中。参与撰写出版学术专著二部。
SCI引用数：900+；h-index=19。Google scholar引用数：1900+
部分英文期刊论文
> Liang P, Qin C-Z*, Zhu A-X, Hou Z-W, Fan N-Q, Wang Y-J. A case-based method of selecting covariates for digital soil mapping. Journal of Integrative Agriculture, 2020. (SCI)
> Xia Q, Qin C-Z*, Li H, Huang C, Su F-Z, Jia M-M. Evaluation of submerged mangrove recognition index using multi-tidal remote sensing data. Ecological Indicators, 2020, 113, 106196. (SCI)
> Ma T-W, Wei T-F, Qin C-Z*, Zhu A-X*, Qi F, Liu J, Zhao F-H, Pan H. In-situ recommendation of alternative soil samples during field sampling based on environmental similarity. Earth Science Informatics, 2020, 13(1): 39-53. (SCI)
> Fan N-Q, Zhu A-X, Qin C-Z*, Liang P. Digital soil mapping over large areas with invalid environmental covariate data. ISPRS International Journal of Geo-Information, 2020, 9, 102. (SCI)
> Zhao C, Qin C-Z*, Teng J. Mapping large-area tidal flats without the dependence on tidal elevations: A case study of Southern China. ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 159: 256-270. (SCI)
> Zhu L-J, Liu J-Z*, Qin C-Z*, Zhu A-X. A modular and parallelized watershed modeling framework. Environmental Modelling & Software, 2019, 122, 104526. doi: 10.1016/j.envsoft.2019.104526 (SCI)
> Jiang J-C, Zhu A-X, Qin C-Z*, Liu J-Z. A knowledge-based method for automatic construction of hydrological model structures. Journal of Hydroinformatics, 2019, 21(6): 1163-1178. (SCI)
> Hou Z-W, Qin C-Z*, Zhu A-X, Liang P, Wang Y-J, Zhu Y-Q. From manual to intelligent: A review of input data preparation methods for geographic modeling. ISPRS International Journal of Geo-Information, 2019, 8(9), 376. (SCI)
> Qin C-Z, An Y-M, Liang P, Zhu A-X*, Yang L. Soil property mapping by combining spatial distance information into Soil Land Inference Model (SoLIM). Pedoshpere, in press. (SCI)
> Wang Y-J, Qin C-Z*, Zhu A-X. Review on algorithms of dealing with depressions in grid DEMs. Annals of GIS, 2019, 25(2): 83-97. doi: 10.1080/19475683.2019.1604571. (ESCI)
> Zhao F-H, Qin C-Z*, Wei T-F, Ma T-W, Qi F, Liu J-Z, Zhu A-X. Dynamic recommendation of substitute locations for inaccessible soil samples during field sampling campaign. ISPRS International Journal of Geo-Information, 2019, 8(3), 127. (SCI)
> Zhu L-J, Qin C-Z*, Zhu A-X, Liu J-Z, Wu H. Effects of different spatial configuration units for spatial optimization of watershed beneficial management practices scenarios. Water, 2019, 11(2), 262. doi:10.3390/w11020262. (SCI)
> Qin C-Z, Gao H-R, Zhu L-J*, Zhu A-X, Liu J-Z, Wu H. Spatial optimization of watershed best management practices based on slope position units. Journal of Soil and Water Conservation, 2018, 73(5): 504-517. (SCI)
> Xia Q, Qin C-Z*, Li H, Huang C, Su F-Z. Mapping mangrove forests based on multi-tidal high-resolution satellite imagery. Remote Sensing, 2018, 10(9), 1343. doi:10.3390/rs10081343. (SCI; citation: 10+)
> Zhu L-J, Zhu A-X, Qin C-Z*, Liu J-Z. Automatic approach to deriving fuzzy slope positions. Geomorphology, 2018, 304: 173-183. doi: 10.1016/j.geomorph.2017.12.024. (SCI; program download)
> Ai B-B, Qin C-Z*, Ye Q-H, Zhu A-X, Cogley G. An approach to extracting the surface supply relationships between glaciers and lakes on the Tibetan Plateau. International Journal of Digital Earth, 2018, 11(11): 1151-1165. doi: 10.1080/17538947.2017.1374475. (SCI; 50 free eprints)
> Qin C-Z, Ai B-B, Zhu A-X, Liu J-Z. An efficient method for applying a differential equation to deriving the spatial distribution of specific catchment area from gridded digital elevation models. Computers & Geosciences, 2017, 100: 94-102. doi: 10.1016/j.cageo.2016.12.009.(SCI)
> Qin C-Z, Wu X-W, Jiang J-C, Zhu A-X. Case-based knowledge formalization and reasoning method for digital terrain analysis - application to extracting drainage networks. Hydrology and Earth System Sciences, 2016, 20: 3379-3392.(SCI)
> Qin C-Z, Zhan L-J, Zhu A-X, Zhou C-H.A strategy for raster-based geocomputation under different parallel computing platforms. International Journal of Geographical Information Science, 2014, 28(11): 2127-2144. (SCI;50 free eprints; citation: 20+)> Qin C-Z, Zhan L-J, Zhu A-X.How to apply the Geospatial Data Abstraction Library (GDAL) properly to parallel geospatial raster I/O? Transactions in GIS, 2014, 18(6): 950-957. (SSCI; citation: 20+)
> Qin C-Z, Bao L-L, Zhu A-X*, Wang R-X, Hu X-M.Uncertainty due to DEM error in landslide susceptibility mapping. International Journal of Geographical Information Science, 2013, 27(7): 1364-1380. (SCI;50 free eprints)
> Qin C-Z, Bao L-L, Zhu A-X, Hu X-M, Qin B.Artificial surfaces simulating complex terrain types for evaluating grid-based flow direction algorithms. International Journal of Geographical Information Science, 2013, 27(6): 1055-1072. (SCI; 50 free eprints; 详细推导过程; 实现在SimDTA tool中)
> Zhan L-J, Qin C-Z*, Zhu A-X.Which type of slope gradient should be used to determine flow-partition proportion in multiple-flow-direction algorithms—tangent or sine? Hydrology and Earth System Sciences Discussions, 2012, 9: 6409-6418.
> Qin C-Z, L-J Zhan.Parallelizing flow-accumulation calculations on Graphics Processing Units—from iterative DEM preprocessing algorithm to recursive multiple-flow-direction algorithm. Computers & Geosciences, 2012, 43: 7-16. (SCI; "Top 25 Hottest Articles" of Computers & Geosciences:3rd (April to June 2012); 8th (July to September 2012); 12th (2012 full year); citation: 40+)
> Qin C-Z, A-X Zhu, W-L Qiu, Y-J Lu, B-L Li, T Pei.Mapping soil organic matter in small low-relief catchments using fuzzy slope position information. Geoderma, 2012, 171-172: 64-74. (SCI; citation: 20+)
> Qin C-Z, A-X Zhu, T Pei, et al.An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agriculture, 2011, 12(1): 32-43. (SCI; citation: 50+; in SimDTA tool; 集成在SAGA中-被实现为默认4邻域)
> Qin C-Z, A-X Zhu*, X Shi, et al.Quantification of spatial gradation of slope positions. Geomorphology, 2009, 110: 152-161. (SCI; citation: 30+)
> Qin C, A-X Zhu, T Pei, et al.An adaptive approach to selecting a flow-partition exponent for a multiple-flow-direction algorithm. International Journal of Geographical Information Science, 2007, 21(4): 443-458. (SCI;50 free eprints; citation: 60+; in SimDTA tool; 已集成在ArcGIS中；集成在SAGA中-被实现为默认4邻域)
> Jiang J, Qin C-Z, Yu J, Cheng C*, Liu J, Huang J. Obtaining urban waterlogging depths from video images using synthetic image data. Remote Sensing, 2020, 12, 1014. (SCI)
> Zhu A-X, Lv G, Liu J, Qin C-Z, Zhou C. Spatial prediction based on Third Law of Geography. Annals of GIS, 2018, 24(4): 225-240. doi: 10.1080/19475683.2018.1534890. (ESCI)
> Yang L, Song M, Zhu A-X, Qin C-Z, Zhou C, Qi F, Li X, Chen Z, Gao B. Predicting soil organic carbon content in croplands using crop rotation and Fourier transform decomposed variables. Geoderma, 2019, 340: 289-302. (SCI)
> Cheng W, Zhu A-X*, Qin C-Z, Qi F. Updating conventional soil maps by mining soil–environment relationships from individual soil polygons. Journal of Integrative Agriculture, 2019, 18(2): 265-278. doi: 10.1016/S2095-3119(18)61938-0. (SCI)
> Jiang J, Liu J*, Qin C-Z, Wang D. Extraction of urban waterlogging depth from video images using transfer learning. Water, 2018, 10(10), 1485. Doi: 10.3390/w10101485. (SCI)
> Shi J, Yang L*, Zhu A-X, Qin C-Z, Liang P, Zeng C, Pei T. Machine-learning variables at different scales vs. knowledge-based variables for mapping multiple soil properties. Soil Science Society of America Journal, 2018, 82: 645-656. doi:10.2136/sssaj2017.11.0392. (SCI)
> Zhang G, Zhu A-X*, Windels S K, Qin C-Z. Modelling species habitat suitability from presence-only data using kernel density estimation. Ecological Indicators, 2018, 93: 387-396. (SCI)
>Zhang G, Zhu A-X, Huang Z-P, Ren G, Qin C-Z, Xiao W. Validity of historical volunteered geographic information: Evaluating citizen data for mapping historical geographic phenomena. Transactions in GIS, 2018, 22(1): 149-164. (SCI)
> An Y, Yang L*, Zhu A-X, Qin C-Z, Shi J. Identification of representative samples from existing samples for digital soil mapping. Geoderma, 2018, 311: 109-119. doi: 10.1016/j.geoderma.2017.03.014. (SCI)
> Xue X, Han H, Wang S, Qin C-Z. Computational experiment-based evaluation on O2O service recommendation strategies. IEEE Transactions on Services Computing, accepted, doi: 10.1109/TSC.2016.2638083. (SCI)
> Zeng C, Yang L*, Zhu A-X, Rossiter D G, Liu J, Liu J-Z, Qin C-Z, Wang D. Mapping soil organic matter concentration at different scales using a mixed geographically weighted regression method. Geoderma, 2016, 281: 69-82. (SCI)
> Liu J-Z, Zhu A-X*, Qin C-Z*, Wu H, Jiang J-C.A two-level parallelization method for distributed hydrological models.Environmental Modelling & Software, 2016, 80: 175-184. (SCI)
> Zhang S-J, Zhu A-X*, Liu J, Yang L, Qin C-Z, An Y-M.A heuristic uncertainty directed field sampling design for digital soil mapping.Geoderma, 2016, 267: 123-136. doi: 10.1016/j.geoderma.2015.12.009. (SCI)
> Jiang J-C, Zhu A-X*, Qin C-Z, Zhu T, Liu J-Z, Du F, Liu J, Zhang G-M, An Y-M.CyberSoLIM: A cyber platform for digital soil mapping.Geoderma, 2016, 263: 234-243. doi:10.1016/j.geoderma.2015.04.018. (SCI)
> Zhu A-X, Zhang G-M, Wang W, Xiao W, Huang Z-P, Ge-Sang D, Ren G-P, Qin C-Z, Yang L, Pei T, Yang S.A citizen data-based approach to predictive mapping of spatial variation of natural phenomena.International Journal of Geographical Information Science, 2015, 29(10): 1864-1886. DOI:10.1080/13658816.2015.1058387. (SCI)
> Zhu A-X, Liu J*, Du F, Zhang S, Qin C-Z, Burt J, Behrens T, Scholten T.Predictive soil mapping with limited sample data.European Journal of Soil Science, 2015, 66(3): 535-547. (SCI)
> Zhu A-X, Wang R, Qiao J, Qin C-Z, Chen Y, Liu J, Du F, Yang L, Zhu T.An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic.Geomorphology, 2014, 214: 128-138. (SCI)
> Liu J-Z, Zhu A-X, Liu Y-B, Zhu T-X, Qin C-Z.A layered approach to parallel computing for spatially distributed hydrologic modeling.Environmental Modelling & Software, 2014, 51: 221-227. (SCI)
> Liu J-Z, A-X Zhu, C-Z Qin.Estimation of theoretical maximum speedup ratio for parallel computing of grid-based distributed hydrological models.Computers & Geosciences, 2013, 60: 58-62. (SCI)
> Yang L, A-X Zhu*, F Qi, C-Z Qin, B-L Li, T Pei.An integrative hierarchical stepwise sampling strategy and its application in digital soil mapping.International Journal of Geographical Information Science, 2013, 27(1): 1-23. (SCI)
> Zhu A X, Yang L, Li B L, Qin C Z, Pei T, Liu B Y.Construction of membership functions for predictive soil mapping under fuzzy logic.Geoderma, 2010, 155(3-4): 164-174. (SCI)
> Pei T, C-Z Qin, A-X Zhu, et al.Mapping soil organic matter using the topographic wetness index: A comparative study based on different flow-direction algorithms and kriging methods.Ecological Indicators, 2010, 10(3): 610-619. (SCI)
> Yong B, W-C Zhang, G-Y Niu, L-L Ren, C-Z Qin.Spatial statistical properties and scale transform analyses on the topographic index derived from DEMs in China.Computers & Geosciences, 2009, 35: 592-602. (SCI)
> Qi F, Zhu A-X, Pei T, Qin C-Z, Burt J E.Knowledge discovery from area-class resource maps: capturing prototype effects.Cartography and Geographic Information Science, 2008, 35(4): 223-237. (EI)
Book chapters:
> Qin C-Z. Cuda/GPU (Entry id: 451957). Encyclopedia of GIS (Second Edition), edited by Shashi Shekhar, Hui Xiong, and Xun Zhou. Springer, 2016. (ISBN: 978-3-319-17884-4) DOI 10.1007/978-3-319-23519-6_1606-1
部分中文期刊论文
> 高会然，秦承志*，朱良君，朱阿兴，刘军志，吴辉. 以坡位为空间配置单元的流域管理措施情景优化方法. 地球信息科学学报，2018，20（6）：781-790.
> 王彦文，秦承志*. 地貌形态类型的自动分类方法综述. 地理与地理信息科学，2017，33（4）：16-21.
> 呼雪梅，秦承志*. 数字地形分析中适宜分析窗口选择方法的实用性分析. 武汉大学学报（信息科学版），2017，42（10）：1365-1372.
> 康鑫，王彦文，秦承志*，程维明，赵尚民，朱阿兴，张文诗. 多分析尺度下综合判别的地形元素分类方法. 地理研究，2016，35（9）：1637-1646.
> 吴雪薇，秦承志*，朱阿兴. 数字地形分析应用适配性知识的案例表达与推理应用方法. 地理科学进展，2016，35（1）：89-97.
> 艾贝贝，秦承志*，朱阿兴. 栅格地理计算并行算子对区域计算算法并行化的可用性研究——以多流向算法为例. 地球信息科学学报，2015，17（5）：562-567.
> 秦承志，陈旻. 地理信息科学领域国际学术期刊等级的调查分析. 地理学报，2014，69（4）：566-572. （简介及调查报告）
> 呼雪梅，秦承志*. 地形信息对确定DEM适宜分辨率的影响分析. 地理科学进展，2014，33（1）：50-56.
> 秦承志，呼雪梅. 栅格数字地形分析中的尺度问题研究方法. 地理研究，2014，33（2）：270-283.
> 包黎莉，秦承志*，朱阿兴，呼雪梅. DEM误差对滑坡危险性评价模型的影响. 地理科学进展，2012，31（10）：1326-1333.
> 卢岩君，秦承志*，邱维理，等. 基于少量典型样点土壤属性空间分布推测模型中的土壤属性参数敏感性分析. 地理科学，2011，31（12）：1549-1554.
> 包黎莉，秦承志*，朱阿兴. 地形湿度指数算法的误差定量评价研究. 地理科学进展，2011，30（1）：57-64.
> 秦承志，卢岩君，邱维理，等. 模糊坡位信息在精细土壤属性空间推测中的应用. 地理研究，2010，29（9）：1706-1714.
> 秦承志，卢岩君，包黎莉，等. 简化数字地形分析软件（SimDTA）及其应用——以嫩江流域鹤山农场的坡位模糊分类应用为例. 地球信息科学学报，2009，11（6）：737-743. （下载SimDTA）
> 秦承志，朱阿兴，李宝林，等. 坡位的分类及其空间分布信息的定量化. 武汉大学学报（信息科学版），2009，34（3）：374-377.
> 秦承志，朱阿兴，施迅，等. 坡位渐变信息的模糊推理. 地理研究，2007，26（6）：1165-1174.
> 秦承志，杨琳，朱阿兴，等. 平缓地区地形湿度指数的计算方法. 地理科学进展，2006，25（6）：87-93，图版I.
> 秦承志，朱阿兴，李宝林，等. 基于栅格DEM的多流向算法述评. 地学前缘，2006，13（3）：91-98.
> 秦承志，李宝林，朱阿兴，等. 水流分配策略随下坡坡度变化的多流向算法. 水科学进展，2006，17（4）：450-456.
> 朱阿兴，朱良君，史亚星，秦承志，刘军志. 流域系统综合模拟与情景分析——自然地理综合研究的新范式？地理科学进展，2019，38（8）：1111-1122.
> 史静静，杨琳，曾灿英，朱阿兴，秦承志，梁朋. 多种土壤属性的相关环境因子及其作用尺度研究——以黑龙江鹤山农场研究区为例. 地理研究，2018，37（3）：635-646.
> 张磊，朱阿兴，杨琳，秦承志，刘军志，刘雪琦. 基于分融策略的土壤采样设计方法. 土壤学报，2017，54（5）：1079-1090.
