点击查看原图

王雷 副高级 (wanglei@radi.ac.cn)    

计算机与信息安全学院    

遥感图像处理;信号与信息处理;;

个人简介
王雷,博士,中国科学院空天信息创新研究院副研究员,2004年获北京师范大学士学位,2009年获中国科学院遥感与数字地球研究所博士学位。博士毕业后留所工作,曾任助理研究员,2010至2013在清华大学地球系统科学系从事博士后研究工作,2013至2018年在美国马里兰大学地理科学系做访问学者。现任CAS-TWAS空间减灾卓越中心办公室主任,国际科学理事会(ISC)灾害风险综合研究计划(IRDR)中委会学术秘书。主要研究方向为大区域遥感制图与分析;在Lancet, Science Advances等期刊论文30余篇,Web of Science总引用2400余次,第一作者论文“China’s urban expansion from 1990 to 2010 determined with satellite remote sensing”SCI引用过200次;先后主持/参加国家自然科学基金项目、国家重点研发计划子课题等科研项目10余项。
教育背景
2004.09至2009.07,中国科学院遥感应用研究所,地图学与地理信息系统,博士
2000.09至2004.07,北京师范大学信息学院,电子信息科学与技术,学士


工作经历

2021.09至今  可持续发展大数据国际研究中心 副研究员
2020.03至今 中国科学院空天信息创新研究院 副研究员
2013.05至2018.05 美国马里兰大学地理科学系 访问学者
2013.04至2020.02   中国科学院遥感与数字地球研究所  副研究员
2010.10至2013.03 清华大学地球系统科学系     博士后
2009.07至2013.03 中国科学院遥感应用研究所 助理研究员


主要荣誉

2022-至今,世界工程组织减灾委员会,                                   委员
2022-至今,Remote Sensing,                                                  编委
2020-至今,Frontiers in Earth Science,                                  编委 
2019-至今,中国科学院-发展中国家科学院空间减灾卓越中心,  办公室主任
2019-至今,国际科学理事会灾害风险综合研究计划中委会,       学术秘书 
2019-至今,中国科协联合国咨商减灾风险研究专业委员会,       学术秘书 
2018-至今,国际数字地球学会中委会数字减灾专委会,              委员

学术活动
无 
教学信息
主要论文

[35] Wang L, Yu B, Chen F, Li C, Li B, Wang N, 2022. A Cluster-Based Partition Method of Remote Sensing Data for Efficient Distributed Image Processing. Remote Sensing, 14(19): 4964. https://doi.org/10.3390/rs14194964

[34] Jia H, Chen F, Zhang C, Dong J, DU E, Wang L, 2022. High emissions could increase the future risk of maize drought in China by 60–70%. Science of The Total Environment, 2022: 158474. https://doi.org/10.1016/j.scitotenv.2022.158474.
[33] Wang L, Yu B, Chen F, Wang N, Li C*, 2022. An Analysis of Eco–Environmental Changes in Rural Areas in China Based on Sustainability Indicators between 2000 and 2015. Land, 11(8): 1321. https://doi.org/10.3390/land11081321
[32] Yu B, Yang AQ, Chen F, Wang N, Wang L*, 2022. SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction. International Journal of Applied Earth Observation and Geoinformation, 11: 102930. https://doi.org/10.1016/j.jag.2022.102930
[31] Yu B, Xu C, Chen F, Wang N, Wang L*, 2022. HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection. International Journal of Applied Earth Observation and Geoinformation, 11: 102853. https://doi.org/10.1016/j.jag.2022.102853
[30] Xiong Y, Li H, Fu M, Ma X, Wang L*, 2022. Evaluation of Ecosystem Service Change Patterns in a Mining-Based City: A Case Study of Wu’an City. Land, 11(6): 895. https://doi.org/10.3390/land11060895
[29] Zhang Y, Wang L*, He Y, Huang N, Li W, Xu S, Zhou Q, Song W, Duan W, Wang X, Muhammad S, Nath B, Zhu L, Tang F, Du H, Wang L, Niu Z, 2022. A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction. Remote Sensing, 14(9): 2280. https://doi.org/10.3390/rs14092280

[28] Wang N, Chen F, Yu B, and Wang L*, 2022. A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark. Remote Sensing, 14, 1568. https://doi.org/10.3390/rs14071568

[27] Tian L, Fu WX*, Tao Y, Li MY, Wang L, 2022. Dynamics of the alpine timberline and its response to climate change in the Hengduan mountains over the period 1985–2015. Ecological Indicators, 135: 108589. https://doi.org/10.1016/J.ECOLIND.2022.108589

[26] Jia HC, Chen F*, Pan D H, Du E Y, Wang L, Wang N, Yang AQ, 2022. Flood risk management in the Yangtze River basin —Comparison of 1998 and 2020 events. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102724
[25] Chen F, Wang N, Yu B, Wang L, 2022. Res2-Unet, a New Deep Architecture for Building Detection From High Spatial Resolution Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 1494-1501. https://doi.org/ 10.1109/JSTARS.2022.3146430 
[24] Yu B, Chen F, Dong Y, Wang L, Wang N, Yang A, 2021. MSegnet, a practical network for building detection from high spatial resolution images. Photogrammetric Engineering & Remote Sensing, 87(12) : 901-906. https://doi.org/10.14358/PERS.21-00016R2
[23] Yu B, Chen F*, Xu C, Wang L, Wang N, 2021. Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions. Remote Sensing,13(16), 3158. https://doi.org/10.3390/rs13163158
[22] Chen F, Haritashya UK, Prakash M, Wang L*, 2021. Editorial: Big Earth Data for Disaster Risk Reduction. Frontiers in Earth Science, 9: 727547 
[21] Shirazi Z, Wang L*, Bondur VG, 2021. Modeling conditions appropriate for wildfire in South East China- A Machine Learning Approach. Frontiers in Earth Science, 9: 622307
[20] Chen F*, Wang N, Yu B, Qin YC, Wang L, 2021. A Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform. Remote Sensing, 13(10), 1969 
[19] Chen F, Jia HC*, Du EY, Wang L, Wang N, Yang AQ, 2021. Spatiotemporal Variations and Risk Analysis of Chinese Typhoon Disasters. Sustainability, 13, 2278 
[18] Huang N, Wang L*, Song XP, Black TA, Jassal RS, Myneni RB, Wu CY, Wang L, Song WJ, Ji DB, Yu SS, Niu Z 2020. Spatial and temporal variations in global soil respiration and their relationships with climate and land cover. Science Advances, 6(41): eabb8508 
[17] He YHZ, Chen F*, Jia HC, Wang L, Bondur VG, 2020. Different Drought Legacies of Rain-Fed and Irrigated Croplands in a Typical Russian Agricultural Region. Remote Sensing, 12(11), 1700 
[16] Hansen MC, Wang L, Song XP, Tyukavina A, Turubanova S, Potapov PV, Stehman SV, 2020. The Fate of Tropical Forest Fragments. Science Advances, 6(11): eaax8574 
[15] Ying Q*, Hansen MC, Sun LX, Wang L, Steininger M, 2019. Satellite-detected gain in built-up area as a leading economic indicator. Environmental Research Letters, 14(11): 114015 
[14] Pei J, Wang L*, Wang XY, Niu Z, Kelly M, Song XP, Huang N, Geng J, Tian HF, Yu Y, Xu SG, Wang L, Ying Q, Cao JH, 2019. Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016. Remote Sensing, 11(17): 2044 
[13] Sun ZC*, Xu R, Du WJ, Wang L, Lu DS, 2019. High-Resolution Urban Land Mapping in China from Sentinel 1A/2 Imagery Based on Google Earth Engine . Remote Sensing, 11(7): 752 
 [12] Ying Q*, Hansen MC, Potapov PV, Tyukavina A, Wang L, Stehman SV, Moore R, Hancher M, 2017. Global bare ground gain from 2000 to 2012 using Landsat imagery. Remote Sensing of Environment, 194: 161-176 
[11] Cracknell AP*, Kanniah KD, Tan KP, Wang L, 2015. Towards the development of a regional version of MOD17 for the determination of gross and net primary productivity of oil palm trees. International Journal of Remote Sensing, 36(1): 262-289 
[10] Li C, Wang J, Wang L, Hu LY, Gong P*, 2014. Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery. Remote Sensing, 6(2): 964-983 
[9] Gong P*, Wang J, Yu L, Zhao YC, Zhao YY, Liang L, Niu ZZ, Huang XM, Fu HH, Liu S, Li CC, Li XY, Fu W, Liu CX, Xu Y, Wang XY, Cheng Q, Hu LY, Yao WB, Zhang H, Zhu P, Zhao ZY, Zhang HY, Zheng YM, Ji LY, Zhang YW, Cheng H, Yan A, Guo JH, Yu L, Wang L, Liu XJ, Shi TT, Zhu MH, Chen YL, Yang GW, Tang P, Xu B, Giri C, Clinton N, Zhu ZL, Chen J, Chen J, 2013. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7): 2607-2654 
[8] Cracknell AP*, Kanniah KD, Tan KP, Wang L, 2013. Evaluation of MODIS gross primary productivity and land cover products for the humid tropics using oil palm trees in Peninsular Malaysia and Google Earth imagery. International Journal of Remote Sensing, 34(20): 7400-7423 
[7] Wang L, Li CC, Ying Q, Cheng X, Wang XY, Li XY, Hu LY, Liang L, Yu L, Huang HB, Gong P*, 2012. China’s urban expansion from 1990 to 2010 determined with satellite remote sensing. Chinese Bulletin of Sciences, 57 (22): 2802-2812 
[6] Gong P, Liang S, Carlton EJ, Jiang QW, WU JY, Wang L, Remais JV*, 2012. Urbanisation and health in China. Lancet, 379: 843-852
[5] Huang H, Li Z, Gong P*, Cheng X, Clinton N, Cao CX, Ni WJ, Wang L, 2011. Automated methods for measuring DBH and tree heights with a commercial scanning LiDAR. Photogrammetric Engineering & Remote Sensing, 77(3), 219–227 
[4] Gong P*, Li Z, Huang HB, Sun GQ, Wang L, 2011. ICESAT GLAS data for urban environment monitoring. IEEE Transactions on Geoscience and Remote Sensing, 49(3), 1158-1172 
[3] Yang J, Gong P*, Zhou JX, Huang HB, Wang L, 2010. Detection of urban heat island in Beijing using HJ-1B satellite imagery. Science in China Series D: Earth Sciences, 53, 67-73 
[2] Wang L, Gong P*, Ying Q, Yang ZZ, Cheng X, Ran Q, 2010. Settlement extraction in the North China Plain using Landsat and Beijing-1 multispectral data with an improved watershed segmentation algorithm. International Journal of Remote Sensing, 31(6), 1411-1426 
[1] Niu Z, Gong P*, Cheng X, Guo JH, Wang L, Huang HB, Shen SQ, WU YZ, Wang XF, Wang XW, Ying Q, Liang L, Zhang LN, Wang L, Yao Q, Yang ZZ, Guo ZQ and Dai YJ, 2009. Geographical characteristics of China’s wetlands derived from remotely sensed data, Science in China Series D: Earth Sciences, 52(6), 723-738 
学术著作
陈方; 李斌; 王雷; 贾慧聪; 于博; 鹿琳琳; 张美美; 陈玉; 林政阳; 闫继宁 ; 灾害遥感信息提取的理论、方法与应用, 科学出版社, 2022
科研项目
2020-2023,广西科技计划项目:中国-东盟地球大数据平台与应用示范,课题四“数字丝路”中国东盟区域平台及可持续发展,课题主要参与人和专题负责人
2020-2020,应急管理部课题:全球重大灾害遥感监测评估和“一带一路”专题风险评估报告编制,课题负责人
2018-2022,中国科学院战略性先导科技专项(A类)课题:一带一路大数据集成仓库研发,专题负责人 
2019-2022,国家重点研发计划:村镇社区生态要素分类与格局评价技术,子课题负责人
2019-2021,北京师范大学委托课题:南极企鹅栖息地遥感产品生产,课题负责人
2011-2013,国家863重点项目:极区冰盖冰架变化遥感监测技术,子课题负责人
2011-2013,国家自然科学基金项目:乡镇建成区遥感自动识别算法,项目负责人
2010-2011,遥感科学国家重点实验室青年人才专项:乡镇建成区遥感监测技术研究,课题负责人
知识产权

发明专利


[2] 于博,陈辉,陈方,王雷,一种工业园区图像提取方法、系统、电子设备和存储介质,2022-08-05, 中国, ZL2021 1 1416650.0


[1]于博,王玉, 陈方, 王雷,基于高空间分辨率遥感影响的储油罐提取方法, 2022-1-25, 中国, ZL20211 0504255.1


软件著作权

[4] 鹿琳琳, 王雷, 李庆亭, 陈方, 马永欢, 梁栋, 遥感影像机器学习自动分类软件V1.0,登记号:软著登字第7433273号,2020年

[3] 王雷, 宫鹏, 遥感特定信息提取软件, 登记号: 软著登字第096135号,2012年

[2] 王雷,宫鹏,基于ASAR数据的南极地物提取软件,登记号: 软著登字第0368729,2012

[1] 王雷,宫鹏,基于TM等遥感数据的居民地提取软件,登记号: 软著登字第0368730,2008

联系信息
wanglei@radi.ac.cn
常用链接
https://www.webofscience.com/wos/author/record/1783876