基本信息

邬明权  男    中国科学院空天信息创新研究院
电子邮件: wumq@aircas.ac.cn
通信地址: 北京市朝阳区大屯路甲20号北中科院空天院奥运村园区
邮政编码: 100101

研究领域

重大工程遥感、能源遥感、农业遥感

招生信息

一带一路重大工程遥感

招生专业
070503-地图学与地理信息系统
081603-地图制图学与地理信息工程
招生方向
重大工程遥感监测
农业遥感

教育背景

2011-09--2013-06   中国科学院大学   理学博士
2007-07--2009-06   中国科学院遥感应用研究所   联合培养工学研究生
2006-09--2009-06   太原理工大学   工学硕士
2002-09--2006-06   重庆交通大学   工学学士

工作经历

   
工作简历
2016-06~2016-12,美国农业部南部平原研究所, 访问学者
2016-02~现在, 中国科学院遥感与数字地球研究所, 副研究员
2011-02~2016-02,中国科学院遥感与数字地球研究所, 助理研究员
2009-07~2011-02,中国科学院遥感应用研究所, 研究实习员

专利与奖励

   
奖励信息
(1) 中国科学院青年创新促进会, 部委级, 2017
(2) 机关统计科研优秀成果奖, 三等奖, 部委级, 2012
专利成果
( 1 ) 一种改进型多源遥感数据时空融合方法, 发明, 2017, 第 1 作者, 专利号: ZL2015 1 0099032.6
( 2 ) 一种多源遥感数据时空融合方法, 发明, 2015, 第 1 作者, 专利号: ZL2012 1 0570294.2
( 3 ) 一种基于地块的作物品种高光谱识别方法, 发明, 2014, 第 1 作者, 专利号: ZL2010 1 0272569.5

出版信息

   
发表论文
[1] 叶回春, 邬明权. Measurement Indicators and an Evaluation Approach for Assessing the Sustainable Development Capacity of Tropical Agriculture: A Case Study for Hainan Province, China. Sustainability[J]. 2023, https://www.mdpi.com/2071-1050/15/11/8778.
[2] Wu, Mingquan, Ye, Huichun, Niu, Zheng, Huang, Wenjiang, Hao, Pengyu, Li, Wang, Yu, Bo. Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2022, 11(2): http://dx.doi.org/10.3390/ijgi11020122.
[3] Gao, Xumiao, Wu, Mingquan, Li, Chao, Niu, Zheng, Chen, Fang, Huang, Wenjiang. Influence of China's Overseas power stations on the electricity status of their host countries. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2022, 15(1): 416-436, http://lib.cqvip.com/Qikan/Article/Detail?id=7107691030.
[4] Gao, Xumiao, Wu, Mingquan, Niu, Zheng, Chen, Fang. Global Identification of Unelectrified Built-Up Areas by Remote Sensing. REMOTE SENSING[J]. 2022, 14(8): http://dx.doi.org/10.3390/rs14081941.
[5] Gao, Xumiao, Wu, Mingquan, Gao, Ju, Han, Li, Niu, Zheng, Chen, Fang. Modelling Electricity Consumption in Cambodia Based on Remote Sensing Night-Light Images. APPLIED SCIENCES-BASEL[J]. 2022, 12(8): http://dx.doi.org/10.3390/app12083971.
[6] 田定慧, 邬明权, 牛铮, 李祜梅, 刘波. 近31年澳大利亚恰那铁矿生态环境和社会经济影响长时间序列遥感监测. 江西科学[J]. 2021, 39(2): 281-291, http://lib.cqvip.com/Qikan/Article/Detail?id=7104397783.
[7] 牟昱璇, 邬明权, 牛铮, 黄文江, 杨尽. 南方地区复杂条件下的耕地面积遥感提取方法. 遥感技术与应用[J]. 2020, 35(5): 1127-1135, http://lib.cqvip.com/Qikan/Article/Detail?id=7103380924.
[8] 邬明权, 王标才, 牛铮, 黄文江. 工程项目地球大数据监测与分析理论框架及研究进展. 地球信息科学学报[J]. 2020, 22(7): 1408-1423, http://lib.cqvip.com/Qikan/Article/Detail?id=7102447861.
[9] Dong, Xi, Chen, Zhibo, Wu, Mingquan, Hu, Chunming. Long time series of remote sensing to monitor the transformation research of Kubuqi Desert in China. EARTH SCIENCE INFORMATICS[J]. 2020, 13(3): 795-809, https://www.webofscience.com/wos/woscc/full-record/WOS:000534188600001.
[10] 肖建华, 邬明权, 周世健, 牛铮. “一带一路”重大铁路建设生态与经济影响遥感监测. 科学技术与工程[J]. 2020, 20(11): 4605-4613, http://lib.cqvip.com/Qikan/Article/Detail?id=7101823539.
[11] 龚围, 李丽, 柳钦火, 辛晓洲, 彭志晴, 邬明权, 牛铮, 田海峰. “一带一路”区域水电站工程生态环境影响遥感监测. 地球信息科学学报[J]. 2020, 22(7): 1424-1436, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=DQXX202007004&v=MDIxMTVGWUlSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWVaK1J2Rml6aFVyM0xJVHpUZHJHNEhOSE1xSTk=.
[12] 蒋瑜, 邬明权, 刘正才, 黄长军. 基于遥感的迪拜哈翔清洁能源电站项目监管方法. 地球信息科学学报[J]. 2020, 22(7): 1437-1448, http://lib.cqvip.com/Qikan/Article/Detail?id=7102447863.
[13] Xing, Naichen, Huang, Wenjiang, Xie, Qiaoyun, Shi, Yue, Ye, Huichun, Dong, Yingying, Wu, Mingquan, Sun, Gang, Jiao, Quanjun. A Transformed Triangular Vegetation Index for Estimating Winter Wheat Leaf Area Index. REMOTE SENSING[J]. 2020, 12(1): http://dx.doi.org/10.3390/rs12010016.
[14] 尹富杰, 邬明权, 刘荣, 牛铮, 田定慧. 埃塞俄比亚吉布3水电站遥感监测与分析. 江西科学[J]. 2020, 38(2): 191-199, http://lib.cqvip.com/Qikan/Article/Detail?id=7101444362.
[15] 田定慧, 邬明权, 刘波, 牛铮, 尹富杰. 缅甸蒙育瓦铜矿生态环境和社会经济影响遥感监测. 遥感信息[J]. 2020, 35(5): 45-56, http://lib.cqvip.com/Qikan/Article/Detail?id=7103368912.
[16] 牛铮, 邬明权. “工程项目大数据监测与分析”专栏. 地球信息科学学报[J]. 2020, 22(7): 1407-, http://lib.cqvip.com/Qikan/Article/Detail?id=7102447860.
[17] Jia, Zhanhai, Wu, Mingquan, Niu, Zheng, Tang, Bin, Mu, Yuxuan. Monitoring of UN sustainable development goal SDG-9.1.1: study of Algerian "Belt and Road'' expressways constructed by China. PEERJ[J]. 2020, 8: https://doaj.org/article/e1e171f9e76341a18eb08c011c4bd775.
[18] Zhao, Yongqing, Li, Rendong, Wu, Mingquan. Correlation Studies between Land Cover Change and Baidu Index: A Case Study of Hubei Province. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION[J]. 2020, 9(4): https://doaj.org/article/68bf16b6304f43d7bfd24e2e5deeee8d.
[19] 孟梦, 田海峰, 邬明权, 王力, 牛铮. 基于Google Earth Engine平台的湿地景观空间格局演变分析:以白洋淀为例. 云南大学学报:自然科学版[J]. 2019, 416-424, http://lib.cqvip.com/Qikan/Article/Detail?id=89786890504849574850485056.
[20] Feng, Wei, Dauphin, Gabriel, Huang, Wenjiang, Quan, Yinghui, Bao, Wenxing, Wu, Mingquan, Li, Qiang. Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING[J]. 2019, 12(7): 2159-2169, http://dx.doi.org/10.1109/JSTARS.2019.2922297.
[21] Tian, Haifeng, Meng, Meng, Wu, Mingquan, Niu, Zheng. Mapping spring canola and spring wheat using Radarsat-2 and Landsat-8 images with Google Earth Engine. CURRENT SCIENCE[J]. 2019, 116(2): 291-298, https://www.webofscience.com/wos/woscc/full-record/WOS:000456439500038.
[22] Tian, Haifeng, Wu, Mingquan, Wang, Li, Niu, Zheng. Mapping Early, Middle and Late Rice Extent Using Sentinel-1A and Landsat-8 Data in the Poyang Lake Plain, China. SENSORS[J]. 2018, 18(1): https://doaj.org/article/2531d7b3528a4f52bbf066b77d381acf.
[23] Peng, Dailiang, Zhang, Helin, Yu, Le, Wu, Mingquan, Wang, Fumin, Huang, Wenjiang, Liu, Liangyun, Sun, Rui, Li, Cunjun, Wang, Dacheng, Xu, Fubao. Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2018, 39(22): 8022-8040, http://dx.doi.org/10.1080/01431161.2018.1479795.
[24] Wu, Mingquan, Peng, Dailiang, Qin, Yuchu, Niu, Zheng, Yang, Chenghai, Li, Wang, Hao, Pengyu, Zhang, Chunyang. An index of non-sampling error in area frame sampling based on remote sensing data. PEERJ[J]. 2018, 6: https://doaj.org/article/bdd29a04bc294a6f89187951374db922.
[25] 邬明权. 北京市门头沟区 2003—2014 年植被初级生产力时空变化. 华东师范大学学报 (自然科学版). 2018, [26] Wu, Mingquan, Yang, Chenghai, Song, Xiaoyu, Hoffmann, Wesley Clint, Huang, Wenjiang, Niu, Zheng, Wang, Changyao, Li, Wang, Yu, Bo. Monitoring cotton root rot by synthetic Sentinel-2 NDVI time series using improved spatial and temporal data fusion. SCIENTIFIC REPORTS[J]. 2018, 8(1): https://doaj.org/article/af1c0e8f9854456d98039974992b4356.
[27] Hao, Pengyu, Wu, Mingquan, Niu, Zheng, Wang, Li, Zhan, Yulin. Estimation of different data compositions for early-season crop type classification. PEERJ[J]. 2018, 6: https://doaj.org/article/dfbb3aa7b1d748ae8067ce1acd74b79f.
[28] Hao, Pengyu, Tang, Huajun, Chen, Zhongxin, Yu, Le, Wu, Mingquan. A sampling workflow based on unsupervised clusters and multi-temporal sample interpretation (UCMT) for cropland mapping. REMOTE SENSING LETTERS[J]. 2018, 9(10): 952-961, http://dx.doi.org/10.1080/2150704X.2018.1500045.
[29] Wu, Mingquan, Huang, Wenjiang, Niu, Zheng, Wang, Changyao, Li, Wang, Yu, Bo. Validation of synthetic daily Landsat NDVI time series data generated by the improved spatial and temporal data fusion approach. INFORMATION FUSION[J]. 2018, 40: 34-44, http://dx.doi.org/10.1016/j.inffus.2017.06.005.
[30] Tian, Haifeng, Li, Wang, Wu, Mingquan, Huang, Ni, Li, Guodong, Li, Xiang, Niu, Zheng. Dynamic Monitoring of the Largest Freshwater Lake in China Using a New Water Index Derived from High Spatiotemporal Resolution Sentinel-1A Data. REMOTE SENSING[J]. 2017, 9(6): [31] Mingquan Wu, Chenghai Yang, Xiaoyu Song, Wesley Clint Hoffmann, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li. Evaluation of Orthomosics and Digital Surface Models Derived from Aerial Imagery for Crop Type Mapping. REMOTE SENSING[J]. 2017, 9(3): https://doaj.org/article/ab73ddd187794a74abbd882fc5b5a84b.
[32] 田海峰, 邬明权, 秦耀辰, 牛铮. 商丘虞城城市扩展遥感监测. 河南科学[J]. 2017, 35(5): 811-819, http://lib.cqvip.com/Qikan/Article/Detail?id=672281778.
[33] 田海峰, 周伯燕, 陈燕芬, 邬明权, 牛铮. 县域尺度上基于GF-1 PMS影像的冬小麦种植面积遥感监测. 中国农业大学学报[J]. 2017, 22(10): 139-146, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6062666&detailType=1.
[34] Wu, Mingquan, Huang, Wenjiang, Niu, Zheng, Wang, Yu, Wang, Changyao, Li, Wang, Hao, Pengyu, Yu, Bo. Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2017, 139: 1-9, http://dx.doi.org/10.1016/j.compag.2017.05.003.
[35] 王九中, 田海峰, 邬明权, 王力, 王长耀. 河南省冬小麦快速遥感制图. 地球信息科学学报[J]. 2017, 19(6): 846-853, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=6012581&detailType=1.
[36] Yu, Bo, Chen, Fang, Li, Bin, Wang, Li, Wu, Mingquan. Fire Risk Prediction Using Remote Sensed Products: A Case of Cambodia. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING[J]. 2017, 83(1): 19-25, http://dx.doi.org/10.14358/PERS.83.1.19.
[37] Song, Xiaoyu, Yang, Chenghai, Wu, Mingquan, Zhao, Chunjiang, Yang, Guijun, Hoffmann, Wesley Clint, Huang, Wenjiang. Evaluation of Sentinel-2A Satellite Imagery for Mapping Cotton Root Rot. REMOTE SENSING[J]. 2017, 9(9): https://doaj.org/article/760e5c95e7514b83b52c9cfd79c87bb4.
[38] Yu, Bo, Chen, Fang, Muhammad, Shakir, Li, Bin, Wang, Li, Wu, Mingquan. A Simple But Effective Landslide Detection Method Based on Image Saliency. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING[J]. 2017, 83(5): 351-363, [39] 邬明权. enerating pseudo large footprint waveforms from small footprint full-waveform airborne lidar data for the layered retrieval of lai in orchards.. Optics express. 2016, [40] Li, Wang, Niu, Zheng, Chen, Hanyue, Li, Dong, Wu, Mingquan, Zhao, Wei. Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system. ECOLOGICAL INDICATORS[J]. 2016, 67: 637-648, http://dx.doi.org/10.1016/j.ecolind.2016.03.036.
[41] Wu, Mingquan, Wu, Chaoyang, Huang, Wenjiang, Niu, Zheng, Wang, Changyao, Li, Wang, Hao, Pengyu. An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery. INFORMATION FUSION[J]. 2016, 31: 14-25, http://dx.doi.org/10.1016/j.inffus.2015.12.005.
[42] Li, Wang, Niu, Zheng, Sun, Gang, Gao, Shuai, Wu, Mingquan. Deriving backscatter reflective factors from 32-channel full-waveform LiDAR data for the estimation of leaf biochemical contents. OPTICS EXPRESS[J]. 2016, 24(5): 4771-4785, http://www.irgrid.ac.cn/handle/1471x/1182803.
[43] Hao, Pengyu, Wang, Li, Zhan, Yulin, Wang, Changyao, Niu, Zheng, Wu, Mingquan. Crop classification using crop knowledge of the previous-year: Case study in Southwest Kansas, USA. EUROPEAN JOURNAL OF REMOTE SENSING[J]. 2016, 49(1): 1061-1077, http://dx.doi.org/10.5721/EuJRS20164954.
[44] Hailang Qiao, Mingquan Wu, Muhammad Shakir, Li Wang, Jun Kang, Zheng Niu. Classification of Small-Scale Eucalyptus Plantations Based on NDVI Time Series Obtained from Multiple High-Resolution Datasets. REMOTE SENSING[J]. 2016, 8(2): http://www.irgrid.ac.cn/handle/1471x/1182817.
[45] Li, Wang, Niu, Zheng, Li, Zengyuan, Wang, Cheng, Wu, Mingquan, Muhammad, Shakir. Upscaling coniferous forest above-ground biomass based on airborne LiDAR and satellite ALOS PALSAR data. JOURNAL OF APPLIED REMOTE SENSING[J]. 2016, 10(4): http://dx.doi.org/10.1117/1.JRS.10.046003.
[46] Wu, Mingquan, Huang, Wenjiang, Niu, Zheng, Wang, Changyao. Combining HJ CCD, GF-1 WFV and MODIS Data to Generate Daily High Spatial Resolution Synthetic Data for Environmental Process Monitoring. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH[J]. 2015, 12(8): 9920-9937, http://www.irgrid.ac.cn/handle/1471x/1047261.
[47] 刘国栋, 邬明权, 牛铮, 王长耀. 基于GF-1卫星数据的农作物种植面积遥感抽样调查方法. 农业工程学报[J]. 2015, 31(5): 160-166, http://lib.cqvip.com/Qikan/Article/Detail?id=665303085.
[48] Wu, Mingquan, Huang, Wenjiang, Niu, Zheng, Wang, Changyao. Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data. SENSORS[J]. 2015, 15(9): 24002-24025, https://doaj.org/article/7d982285003d403cb3d17810b6655d25.
[49] Wu, Mingquan, Li, Hua, Huang, Wenjiang, Niu, Zheng, Wang, Changyao. Generating daily high spatial land surface temperatures by combining ASTER and MODIS land surface temperature products for environmental process monitoring. ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS[J]. 2015, 17(8): 1396-1404, http://www.irgrid.ac.cn/handle/1471x/1047424.
[50] Wu, Mingquan, Wu, Chaoyang, Huang, Wenjiang, Niu, Zheng, Wang, Changyao. High-resolution Leaf Area Index estimation from synthetic Landsat data generated by a spatial and temporal data fusion model. COMPUTERS AND ELECTRONICS IN AGRICULTURE[J]. 2015, 115: 1-11, http://dx.doi.org/10.1016/j.compag.2015.05.003.
[51] 田海峰, 邬明权, 牛铮, 王长耀, 赵昕. 基于Radarsat-2影像的复杂种植结构下旱地作物识别. 农业工程学报[J]. 2015, 154-159, http://lib.cqvip.com/Qikan/Article/Detail?id=78897185504849535051485048.
[52] 康峻, 王力, 牛铮, 高帅, 邬明权. 基于局部空间自相关分析的时空数据融合. 遥感技术与应用[J]. 2015, 30(6): 1176-1181, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5617959&detailType=1.
[53] Wu, Mingquan, Muhammad, Shakir, Chen, Fang, Niu, Zheng, Wang, Changyao. Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China. ENVIRONMENTAL SCIENCE-PROCESSES & IMPACTS[J]. 2015, 17(4): 753-762, http://www.irgrid.ac.cn/handle/1471x/1047436.
[54] Wu, Mingquan, Zhang, Xiaoyang, Huang, Wenjiang, Niu, Zheng, Wang, Changyao, Li, Wang, Hao, Pengyu. Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring. REMOTE SENSING[J]. 2015, 7(12): 16293-16314, https://doaj.org/article/0b9445047df149f5be97bb685b5dee48.
[55] 邬明权, 牛铮, 王长耀. 多源遥感数据时空融合模型应用分析. 地球信息科学学报[J]. 2014, 16(5): 776-783, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=5217404&detailType=1.
[56] 邬明权, 杨良闯, 于博, 王玉, 赵昕, 牛铮, 王长耀. 基于遥感与多变量概率抽样调查的作物种植面积测量. 农业工程学报[J]. 2014, 30(2): 146-152, http://lib.cqvip.com/Qikan/Article/Detail?id=48422739.
[57] 高帅, 牛铮, 邬明权. 基于ENVISAT/ASAR的神经网络反演人工林叶面积指数研究. 遥感技术与应用[J]. 2013, 28(2): 205-211, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4833878&detailType=1.
[58] 邬明权, 牛铮, 高帅, 许时光, 王李娟. 渤海陆源入海排污口的多尺度遥感监测分析. 地球信息科学学报[J]. 2012, 14(3): 405-410, http://lib.cqvip.com/Qikan/Article/Detail?id=42387322.
[59] Wu, Mingquan, Niu, Zheng, Wang, Changyao, Wu, Chaoyang, Wang, Li. Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model. JOURNAL OF APPLIED REMOTE SENSING[J]. 2012, 6(13): http://ir.ceode.ac.cn/handle/183411/29269.
[60] 邬明权, 王洁, 牛铮, 赵永清, 王长耀. 融合MODIS与Landsat数据生成高时间分辨率Landsat数据. 红外与毫米波学报[J]. 2012, 80-84, http://ir.ceode.ac.cn/handle/183411/34999.
[61] 邬明权, 韩松, 赵永清, 牛铮. 应用Landsat TM影像估算渤海叶绿素a和总悬浮物浓度. 遥感信息[J]. 2012, 91-95, http://lib.cqvip.com/Qikan/Article/Detail?id=42987334.
[62] 邬明权, 王长耀, 牛铮. 利用多源时序遥感数据提取大范围水稻种植面积. 农业工程学报[J]. 2010, 240-244, http://lib.cqvip.com/Qikan/Article/Detail?id=35050618.
[63] Wu, Chaoyang, Wang, Li, Niu, Zheng, Gao, Shuai, Wu, Mingquan. Nondestructive estimation of canopy chlorophyll content using Hyperion and Landsat/TM images. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2010, 31(8): 2159-2167, http://dx.doi.org/10.1080/01431161003614382.
[64] 邬明权, 牛铮, 王长耀. 利用遥感数据时空融合技术提取水稻种植面积. 农业工程学报[J]. 2010, 48-52, http://lib.cqvip.com/Qikan/Article/Detail?id=3000101824.
[65] 邬明权, 牛铮, 乔玉良, 吴朝阳. 基于MODIS数据的北京气溶胶类型特性与影响因素分析. 地球信息科学学报[J]. 2009, 11(4): 541-548, http://lib.cqvip.com/Qikan/Article/Detail?id=31433190.
[66] 邬明权. 基于 gi s 的煤炭资源遥感动态分析. 地球信息科学. 2008, [67] 乔玉良, 王栋, 唐军呈, 邬明权. 遥感技术在抗震救灾中的应用. 河北遥感[J]. 2008, 15-16, http://lib.cqvip.com/Qikan/Article/Detail?id=28538555.
[68] 潘建平, 邬明权. 基于数学形态学的道路提取. 计算机工程与应用[J]. 2008, 44(11): 232-233,240, http://lib.cqvip.com/Qikan/Article/Detail?id=26964835.
[69] 乔玉良, 连胤卓, 邬明权. 基于遥感与GIS数据融合的煤矿资源开发动态分析. 煤炭学报[J]. 2008, 33(9): 1020-1024, http://lib.cqvip.com/Qikan/Article/Detail?id=28072973.

科研活动

   
科研项目
( 1 ) 一带一路重大工程生态环境影响遥感监测, 参与, 部委级, 2018-01--2022-12
( 2 ) 中国科学院青年创新促进会, 主持, 部委级, 2017-01--2020-12
( 3 ) 非线性多源遥感数据时空融合模型研究, 主持, 国家级, 2014-01--2016-12
( 4 ) 全球生态环境遥感监测报告2018年年报“重大工程生态环境影响遥感监测”, 主持, 国家级, 2017-07--2019-06
( 5 ) 京津冀气溶胶数据收集与分析, 主持, 研究所(学校), 2018-06--2019-12
( 6 ) 基于高分的农作物对地抽样调查应用示范系统, 主持, 国家级, 2014-06--2019-12
( 7 ) 主要农作物遥感监测关键技术研究及业务化应用, 主持, 部委级, 2013-01--2015-12
( 8 ) 基于高分的农作物对地抽样调查应用示范系统, 主持, 国家级, 2011-01--2013-12
( 9 ) 星-机-地”生态环境质量遥感监测系统集成与示范, 主持, 国家级, 2013-01--2015-12
( 10 ) 作物田间观测参数与高分卫星遥感反演参数同化模型研制, 参与, 国家级, 2011-01--2013-12
( 11 ) 环境与灾害监测预报小卫星星座环境应用系统软件工程专题产品生产子系统, 参与, 国家级, 2010-01--2012-12
( 12 ) 高光谱遥感作物信息提取方法研究, 参与, 国家级, 2007-01--2010-12
( 13 ) 渤海入海污染源遥感普查技术开发与业务化应用, 参与, 国家级, 2009-01--2009-12
( 14 ) 基于混合像元分解的粮食作物面积遥感调查研究, 参与, 国家级, 2010-01--2010-12
( 15 ) 新疆棉花种植面积遥感调查方法研究, 参与, 国家级, 2009-01--2014-12
( 16 ) 2017年京津冀地基气溶胶数据收集与分析, 主持, 研究所(学校), 2018-01--2019-12
( 17 ) 基于遥感融合的农业和生态产品分析系统研发, 主持, 院级, 2018-01--2019-12
参与会议
(1)Spatial and temporal fusion of remote sensing data using wavelet transform   2011-05-05
(2)Simulate tm image from modis data, using linear mixture model   2010-06-01