基本信息
陈腊娇  女    中国科学院空天信息创新研究院
电子邮件: chenlj@aircas.ac.cn
通信地址: 北京市海淀区邓庄南路9号
邮政编码:

研究领域

遥感水文学;生态水文学;洪旱预报

招生信息

   
招生专业
070503-地图学与地理信息系统
招生方向
遥感大数据智能计算
遥感水文学
流域水循环过程模拟

教育背景

2008-09--2012-07   中国科学院研究生院   理学博士
2004-09--2007-01   浙江师范大学   理学硕士
2000-09--2004-07   浙江师范大学   理学学士

工作经历

   
工作简历
2020-03~现在, 中国科学院空天信息创新研究院, 副研究员
2017-10~2019-03,美国伊利诺伊大学, 访问学者
2016-02~2020-03,中国科学院遥感与数字地球研究所, 副研究员
2012-09~2016-02,中国科学院遥感与数字地球研究所, 助理研究员
2012-07~2012-09,中国科学院对地观测与数字地球科学中心, 助理研究员

专利与奖励

   
专利成果
( 1 ) 一种全分布式流域生态水文模型的快速并行化方法, 发明, 2016, 第 1 作者, 专利号: ZL 2013 10066403.1
( 2 ) 一种基于动态遥感数据驱动的溢油仿真参数方法, 发明, 2018, 第 3 作者, 专利号: ZL 2014 1082667.4
( 3 ) 一种南方红壤区小流域水土保持生态服务功能优化方法, 发明, 2021, 第 3 作者, 专利号: CN110135585B

出版信息

   
发表论文
[1] Zhang, Yuwei, Liu, Peng, Chen, Lajiao, Xu, Mengzhen, Guo, Xingyan, Zhao, Lingjun. A new multi-source remote sensing image sample dataset with high resolution for flood area extraction: GF-FloodNet. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2023, 第 3 作者  通讯作者  16(1): 2522-2554, http://dx.doi.org/10.1080/17538947.2023.2230978.
[2] Song, Bingze, Liu, Peng, Li, Jun, Wang, Lizhe, Zhang, Luo, He, Guojin, Chen, Lajiao, Liu, Jianbo. MLFF-GAN: A Multilevel Feature Fusion With GAN for Spatiotemporal Remote Sensing Images. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2022, 第 7 作者60: http://dx.doi.org/10.1109/TGRS.2022.3169916.
[3] Chen, Lajiao, Hu, Zhidan, Du, Xiaoping, Khan, Mohd Yawar Ali, Li, Xiaojun, Wen, Jie. An Optimality-Based Spatial Explicit Ecohydrological Model at Watershed Scale: Model Description and Test in a Semiarid Grassland Ecosystem. FRONTIERS IN ENVIRONMENTAL SCIENCE[J]. 2022, 第 1 作者10: http://dx.doi.org/10.3389/fenvs.2022.798336.
[4] Xu, Dong, Ma, Yan, Yan, Jining, Liu, Peng, Chen, Lajiao. Spatial-feature data cube for spatiotemporal remote sensing data processing and analysis. COMPUTING[J]. 2020, 第 5 作者102(6): 1447-1461, https://www.webofscience.com/wos/woscc/full-record/WOS:000541923900009.
[5] 孙莉英, 栗清亚, 蔡强国, 陈腊娇, 吴辉. 水土保持措施生态服务功能研究进展. 中国水土保持科学[J]. 2020, 第 4 作者18(2): 145-150, http://lib.cqvip.com/Qikan/Article/Detail?id=7102101790.
[6] 孙莉英, 栗清亚, 裴亮, 吴辉, 陈腊娇. 地形因子对土壤理化性质和植物种类的影响. 灌溉排水学报[J]. 2020, 第 5 作者39(7): 120-127, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=GGPS202007016&v=MjEwMTk4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckNVUjdxZVorUnZGaWprVnJ6S0lpcmJmYkc0SE5ITXFJOUVZb1I=.
[7] Lajiao Chen, Liying Sun, Weijiang Liu, Lizhe Wang, Hui Wu, AXing Zhu, Yiqi Luo. Evapotranspiration partitioning using an optimality-based ecohydrological model in a semiarid shrubland. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2019, 第 1 作者12(12): 1423-1440, https://doaj.org/article/b54afb6e738947cd86672012ff2502bf.
[8] Yu, Tao, Li, Le, Chen, Lajiao, Song, Weijing. Low-quality multivariate spatio-temporal serial data preprocessing. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS[J]. 2019, 第 3 作者  通讯作者  22: 2357-2370, 
[9] Yue, Shasha, Ma, Yan, Chen, Lajiao, Wang, Yuzhu, Song, Weijing. Dynamic DAG scheduling for many-task computing of distributed eco-hydrological model. JOURNAL OF SUPERCOMPUTING[J]. 2019, 第 3 作者75(2): 510-532, https://www.webofscience.com/wos/woscc/full-record/WOS:000460063500003.
[10] Lajiao Chen, Lizhe Wang. Recent advance in earth observation big data for hydrology. 地球大数据(英文)[J]. 2018, 第 1 作者2(1): 86-107, http://lib.cqvip.com/Qikan/Article/Detail?id=7105261232.
[11] Xiaoyan Zhu, Yanyan Pei, Zhaopei Zheng, Jinwei Dong, Yao Zhang, Junbang Wang, Lajiao Chen, Russell B Doughty, Geli Zhang, Xiangming Xiao. Underestimates of Grassland Gross Primary Production in MODIS Standard Products. REMOTE SENSING[J]. 2018, 第 7 作者10(11): http://ir.igsnrr.ac.cn/handle/311030/51381.
[12] Wang, Lizhe, Chen, Lajiao. The impact of new transportation modes on population distribution in Jing-Jin-Ji region of China. SCIENTIFIC DATA[J]. 2018, 第 2 作者5: https://www.webofscience.com/wos/woscc/full-record/WOS:000423057900001.
[13] Hu, Hongchang, Chen, Lajiao, Liu, Hui, Khan, Mohd Yawar Ali, Tie, Qiang, Zhang, Xuejun, Tian, Fuqiang. Comparison of the Vegetation Effect on ET Partitioning Based on Eddy Covariance Method at Five Different Sites of Northern China. REMOTE SENSING[J]. 2018, 第 2 作者  通讯作者  10(11): https://doaj.org/article/42de6f99809a44f3a914295619e800a3.
[14] Ma, Yan, Chen, Lajiao, Liu, Peng, Lu, Ke. Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation. COMPUTING[J]. 2016, 第 2 作者98(1-2): 7-33, http://www.irgrid.ac.cn/handle/1471x/1182987.
[15] Ranjan Rajiv, Choo KimKwang Raymond, He Jijun, Zhao Lingjun, Chen Lajiao. Geographical information system parallelization for spatial big data processing: a review. CLUSTER COMPUTING[J]. 2016, 第 5 作者19(1): 139-152, http://www.irgrid.ac.cn/handle/1471x/1182942.
[16] Wang, Lizhe, Chen, Lajiao. Spatiotemporal dataset on Chinese population distribution and its driving factors from 1949 to 2013 (vol 3, 160047, 2016). SCIENTIFIC DATA. 2016, 第 2 作者3: https://www.webofscience.com/wos/woscc/full-record/WOS:000390231600004.
[17] Jining Yan, Lizhe Wang, Lajiao Chen, Lingjun Zhao, Bomin Huang. A Dynamic Remote Sensing Data-Driven Approach for Oil Spill Simulation in the Sea. REMOTE SENSING[J]. 2015, 第 3 作者7(6): 7105-7125, http://www.irgrid.ac.cn/handle/1471x/1047303.
[18] Chen, Lajiao, Wang, Lizhe, Ma, Yan, Liu, Peng. Overview of Ecohydrological Models and Systems at the Watershed Scale. IEEE SYSTEMS JOURNAL[J]. 2015, 第 1 作者9(3): 1091-1099, http://dx.doi.org/10.1109/JSYST.2013.2296979.
[19] Chen, Lajiao, Ma, Yan, Liu, Peng, Wei, Jingbo, Jie, Wei, He, Jijun. A review of parallel computing for large-scale remote sensing image mosaicking. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS[J]. 2015, 第 1 作者18(2): 517-529, http://www.irgrid.ac.cn/handle/1471x/1047315.
[20] Miao, Yanhua, Wang, Lizhe, Liu, Dingsheng, Ma, Yan, Zhang, Wanfeng, Chen, Lajiao. A Web 2.0-based science gateway for massive remote sensing image processing. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE[J]. 2015, 第 6 作者27(9): 2489-2501, http://www.irgrid.ac.cn/handle/1471x/907483.
[21] Wang, Lizhe, Lu, Ke, Liu, Peng, Ranjan, Rajiv, Chen, Lajiao. IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update. COMPUTING IN SCIENCE & ENGINEERING[J]. 2014, 第 5 作者  通讯作者  16(4): 41-52, 
[22] Chen, Lajiao, Ma, Yan, Liu, Peng, Xue, Wei. Parallelisation of a watershed distributed ecohydrological model with dynamic task scheduling. INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING[J]. 2014, 第 1 作者17(2-3): 110-121, https://www.webofscience.com/wos/woscc/full-record/WOS:000347629700004.
[23] Zhu, AXing, Wang, Ping, Zhu, Tongxin, Chen, Lajiao, Cai, Qiangguo, Liu, Huiping. Modeling runoff and soil erosion in the Three-Gorge Reservoir drainage area of China using limited plot data. JOURNAL OF HYDROLOGY[J]. 2013, 第 4 作者  通讯作者  492: 163-175, http://dx.doi.org/10.1016/j.jhydrol.2013.03.038.
[24] 刘军志, 朱阿兴, 刘永波, 秦承志, 陈腊娇, 吴辉, 杨琳. 基于栅格分层的逐栅格汇流算法并行化研究. 国防科技大学学报[J]. 2013, 第 5 作者123, http://lib.cqvip.com/Qikan/Article/Detail?id=45003994.
[25] 陈腊娇, 王力哲. 遥感在生态水文模型中的应用进展. 气候变化研究快报[J]. 2012, 第 1 作者1(3): 106-112, http://lib.cqvip.com/Qikan/Article/Detail?id=HS724032012003003.
[26] 陈腊娇, 朱阿兴, 秦承志, 刘军志. 流域土壤侵蚀关键源区的效益评价. 资源与生态学报:英文版[J]. 2012, 第 1 作者3(2): 138-143, http://lib.cqvip.com/Qikan/Article/Detail?id=42607964.

科研活动

   
科研项目
( 1 ) 流域水土保持生态景观格局优化配置技术, 参与, 国家任务, 2017-07--2021-08
( 2 ) 中高纬度湿地水文过程对气候变化的响应, 参与, 国家任务, 2017-07--2021-12
( 3 ) 水文模型参数率定及积融雪模拟方法研究, 负责人, 企业委托, 2019-03--2021-12
( 4 ) 三维水热耦合模型代码测试, 负责人, 企业委托, 2019-10--2021-12
( 5 ) 青藏高原高寒冻土区小流域水热耦合过程精细模拟研究, 负责人, 国家任务, 2021-01--2022-12
( 6 ) 基于多源数据和集合模型的精细化实时洪水预报调度技术研究, 负责人, 地方任务, 2020-06--2021-11
( 7 ) 黄河上游关键鱼类栖息地地貌异质性影响及恢复机制, 负责人, 国家任务, 2022-01--2025-12
( 8 ) 基于分布式水文水动力模型的洪水预报研究, 负责人, 地方任务, 2022-06--2023-06
( 9 ) 北京山区重点山洪沟水文模型运行测试, 负责人, 地方任务, 2022-05--2023-12
参与会议
(1)Evapotranspiration partitioning in a semiarid shrubland and its relation to rainfall patterns   2020-05-07
(2)Comparison of 5 sites ET partitioning in water limited ecosystem based on eddy covariance measurements   2018-12-10