发表论文
[1] Wang, Xinke, Meng, Qingyan, Liu, Xingzhao, Allam, Mona, Zhang, Linlin, Hu, Xinli, Bi, Yaxin, Jancso, Tamas. Evaluation of Fairness of Urban Park Green Space Based on an Improved Supply Model of Green Space: A Case Study of Beijing Central City. REMOTE SENSING[J]. 2023, 15(1): [2] Zhao, Maofan, Meng, Qingyan, Zhang, Linlin, Hu, Xinli, Bruzzone, Lorenzo. Local and Long-Range Collaborative Learning for Remote Sensing Scene Classification. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING[J]. 2023, 61: http://dx.doi.org/10.1109/TGRS.2023.3265346.[3] Pengcheng Wu, Qingyan Meng, Ying Zhang, Chengxiang Zhan, Mona Allam, Linlin Zhang, Xinli Hu. oarse-graining research of the thermal infrared anomalies before earthquakes in the Sichuan area on Google Earth engine. Frontiers in Earth Science[J]. 2023, [4] Qingyan Meng, Wenxu Shi, Sijia Li, Linlin Zhang. PanDiff: A Novel Pansharpening Method Based on Denoising Diffusion Probabilistic Model. Ieee Transactions on Geoscience and Remote Sensing[J]. 2023, [5] Sun, Zhenhui, Li, Peihang, Meng, Qingyan, Sun, Yunxiao, Bi, Yaxin. An Improved YOLOv5 Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images. REMOTE SENSING[J]. 2023, 15(7): http://dx.doi.org/10.3390/rs15071796.[6] Ying Zhang, Didier Sornette, Meng Qingyan. A New 3-D Error Diagram for a More Balanced Assessment of Binary Alarms for Predicting Earthquakes: Application to TIR Anomalies in Sichuan Area, China. IEEE Transactions on Geoscience and Remote Sensing[J]. 2023, [7] Gao, Jianfeng, Meng, Qingyan, Hu, Die, Zhang, Linlin, Hu, Xinli, Qian, Jiangkang. A uniform methodology of local cooling and warming effects for different urban site types: multi-perspective assessment based on four northern Chinese cities. SUSTAINABLE CITIES AND SOCIETY[J]. 2023, 96: http://dx.doi.org/10.1016/j.scs.2023.104652.[8] Jiangkang Qian, Qingyan Meng, Linlin Zhang, Uwe Schlink, Xinli Hu, Jianfeng Gao. Characteristics of anthropogenic heat with different modeling ideas and its driving effect on urban heat islands in seven typical Chinese cities. SCIENCE OF THE TOTAL ENVIRONMENT. 2023, 886: http://dx.doi.org/10.1016/j.scitotenv.2023.163989.[9] Qingyan Meng, Jiangkang Qian, Uwe Schlink, Linlin Zhang, Xinli Hu, Jianfeng Gao, Qiao Wang. Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities. REMOTE SENSING OF ENVIRONMENT. 2023, 293: http://dx.doi.org/10.1016/j.rse.2023.113602.[10] Hu, Die, Meng, Qingyan, Schlink, Uwe, Hertel, Daniel, Liu, Wenxiu, Zhao, Maofan, Guo, Fengxiang. How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2022, 106: http://dx.doi.org/10.1016/j.jag.2021.102648.[11] Yujia Liu, Qingyan Meng. Evaluation of Urban Spatial Structure from the Perspective of Socioeconomic Benefits Based on 3D Urban Landscape Measurements: A Case Study of Beijing, China. Remote Sensing[J]. 2022, [12] Junnan Qi, Qingyan Meng, Linlin Zhang, Xuemiao Wang, Jianfeng Gao, Linhai Jing, Tams Jancs. Contributing Factors and Trend Prediction of Urban-Settled Population Distribution Based on Human Perception Measurement: A Study on Beijing, China. REMOTE SENSING[J]. 2022, 14: https://doaj.org/article/8e61dd8e5d664fa085b59fa0b82ec09e.[13] Jianfeng Gao, 孟庆岩. How does the ambient environment respond to the industrial heat island effects? An innovative and comprehensive methodological paradigm for quantifying the varied cooling effects of different landscapes. GISCIENCEREMOTESENSING[J]. 2022, [14] Qian, Jiangkang, Meng, Qingyan, Zhang, Linlin, Hu, Die, Hu, Xinli, Liu, Wenxiu. Improved anthropogenic heat flux model for fine spatiotemporal information in Southeast China. ENVIRONMENTAL POLLUTION[J]. 2022, 299: http://dx.doi.org/10.1016/j.envpol.2022.118917.[15] Meng, Qingyan, Zhao, Maofan, Zhang, Linlin, Shi, Wenxu, Su, Chen, Bruzzone, Lorenzo. Multilayer Feature Fusion Network With Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: http://dx.doi.org/10.1109/LGRS.2022.3173473.[16] Qingyan Meng, Wenxiu Liu, Linlin Zhang, Mona Allam, Yaxin Bi, Xinli Hu, Jianfeng Gao, Die Hu, Tams Jancs. Relationships between Land Surface Temperatures and Neighboring Environment in Highly Urbanized Areas: Seasonal and Scale Effects Analyses of Beijing, China. REMOTE SENSING[J]. 2022, 14: https://doaj.org/article/b2225ff1146f42dcbedf1fa94a713271.[17] Liu, Ying, Meng, Qingyan, Zhang, Linlin, Wu, Chaoyang. NDBSI: A normalized difference bare soil index for remote sensing to improve bare soil mapping accuracy in urban and rural areas. CATENA[J]. 2022, 214: http://dx.doi.org/10.1016/j.catena.2022.106265.[18] Wenxu Shi, Qingyan Meng. DSANet: A Deep Supervision-Based Simple Attention Network for Efficient Semantic Segmentation in Remote Sensing Imagery. Remote Sensing[J]. 2022, [19] Wang, Jingyuan, Hu, Xinli, Meng, Qingyan, Zhang, Linlin, Wang, Chengyi, Liu, Xiangchen, Zhao, Maofan. Developing a Method to Extract Building 3D Information from GF-7 Data. REMOTE SENSING[J]. 2021, 13(22): http://dx.doi.org/10.3390/rs13224532.[20] 孟庆岩. How do urban morphological blocks shape spatial patterns of land surface temperature over different seasons? A multifactorial driving analysis of Beijing, China. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2021, [21] Kang, Yupeng, Hu, Xinli, Meng, Qingyan, Zou, Youfeng, Zhang, Linlin, Liu, Miao, Zhao, Maofan. Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data. REMOTE SENSING[J]. 2021, 13(22): http://dx.doi.org/10.3390/rs13224522.[22] Zhang, Ying, Meng, Qingyan, Ouillon, Guy, Sornette, Didier, Ma, Weiyu, Zhang, Linlin, Zhao, Jing, Qi, Yuan, Geng, Fei. Spatially variable model for extracting TIR anomalies before earthquakes: Application to Chinese Mainland. REMOTESENSINGOFENVIRONMENT[J]. 2021, 267: http://dx.doi.org/10.1016/j.rse.2021.112720.[23] Meng, Qingyan, Zhang, Ying. Discovery of spatial-temporal causal interactions between thermal and methane anomalies associated with the Wenchuan earthquake. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS[J]. 2021, 230(1): 247-261, http://dx.doi.org/10.1140/epjst/e2020-000252-9.[24] 孟庆岩. 基于RST算法统计分析新疆地区热异常与地震的关系. 地震学报. 2021, [25] Wang, Zian, Meng, Qingyan, Allam, Mona, Hu, Die, Zhang, Linlin, Menenti, Massimo. Environmental and anthropogenic drivers of surface urban heat island intensity: A case-study in the Yangtze River Delta, China. ECOLOGICAL INDICATORS[J]. 2021, 128: https://doaj.org/article/f64eac28ea8542898cd1c88749d2eeda.[26] Wenxiu Liu, Qingyan Meng, Mona Allam, Linlin Zhang, Die Hu, Massimo Menenti. Driving Factors of Land Surface Temperature in Urban Agglomerations: A Case Study in the Pearl River Delta, China. REMOTE SENSING[J]. 2021, 13(15): http://dx.doi.org/10.3390/rs13152858.[27] Ying Zhang, Qingyan Meng, Zian Wang, Xian Lu, Die Hu. Temperature Variations in Multiple Air Layers before the Mw 6.2 2014 Ludian Earthquake, Yunnan, China. REMOTE SENSING[J]. 2021, 13(5): https://doaj.org/article/5bb8a47658c4436aacf96b2ca93d0c3f.[28] Zhang, Ying, Meng, Qingyan, Ouillon, Guy, Zhang, Linlin, Hu, Die, Ma, Weiyu, Sornette, Didier. Long-term statistical evidence proving the correspondence between tir anomalies and earthquakes is still absent. EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS[J]. 2021, 230(1): 133-150, http://dx.doi.org/10.1140/epjst/e2020-000248-4.[29] Allam, Mona, Mhawej, Mario, Meng, Qingyan, Faour, Ghaleb, Abunnasr, Yaser, Fadel, Ali, Xinli, Hu. Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data. AGRICULTURAL WATER MANAGEMENT[J]. 2021, 243: http://dx.doi.org/10.1016/j.agwat.2020.106432.[30] 王宪凯, 孟庆岩, 李娟, 胡新礼, 张琳琳. 北京市主城区不透水面时空演变及其热环境效应研究. 生态科学[J]. 2021, 40(1): 169-181, http://lib.cqvip.com/Qikan/Article/Detail?id=7104286126.[31] 安健健, 孟庆岩, 胡蝶, 胡新礼, 杨健, 杨天梁. 基于Faster R-CNN的火电厂冷却塔检测及工作状态判定. 国土资源遥感[J]. 2021, 33(2): 93-99, http://lib.cqvip.com/Qikan/Article/Detail?id=7104947839.[32] 赵少华, 朱军, 白志杰, 屈然, 刘思含, 王玉, 熊文成, 尹欢, 孟庆岩, 田金雨. 土壤污染监测卫星遥感应用需求与载荷配置初探. 环境与可持续发展[J]. 2020, 45(5): 4, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDAUTO&filename=HJKD202005029&v=MDk4NDlOSE1xbzlIYllSOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWVadWR2RnkvZ1VyckpMU2ZBYXJHNEg=.[33] Meng, Qingyan, Sun, Yunxiao, Chen, Xu, Li, Juan, Wang, Xuemiao, Wu, Jun. Moving Window Method: An Effective Approach to Measure Surrounding Greenness. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING[J]. 2020, 48(12): 1729-1738, [34] Hategekimana, Yves, Allam, Mona, Meng, Qingyan, Nie, Yueping, Mohamed, Elhag. Quantification of Soil Losses along the Coastal Protected Areas in Kenya. LAND[J]. 2020, 9(5): https://doaj.org/article/ba5da2d9c6164bf9b26423e3b627c44e.[35] 詹成祥, 孟庆岩, 安健健, 胡蝶, 杨天梁. 基于clear-SSD的单点多盒飞机目标检测天气适用性. 科学技术与工程[J]. 2020, 20(31): 12717-12723, http://lib.cqvip.com/Qikan/Article/Detail?id=7103475893.[36] 刘俊, 孟庆岩, 葛小三, 刘顺喜, 陈旭, 孙云晓. 基于BP神经网络的夏玉米多生育期叶面积指数反演研究. 遥感技术与应用[J]. 2020, 35(1): 174-184, http://lib.cqvip.com/Qikan/Article/Detail?id=7101371323.[37] Zhao, Maofan, Meng, Qingyan, Zhang, Linlin, Hu, Die, Zhang, Ying, Allam, Mona. A Fast and Effective Method for Unsupervised Segmentation Evaluation of Remote Sensing Images. REMOTE SENSING[J]. 2020, 12(18): https://doaj.org/article/ed812d75eb654398bc928cc405026f89.[38] Allam, Mona, Khan, Mohd Yawar Ali, Meng, Qingyan. Retrieval of Turbidity on a Spatio-Temporal Scale Using Landsat 8 SR: A Case Study of the Ramganga River in the Ganges Basin, India. APPLIED SCIENCES-BASEL[J]. 2020, 10(11): http://dx.doi.org/10.3390/app10113702.[39] Allam, M, Meng, Q Y, AlAizari, H, Elhag, M, Yang, J, Sakr, M, Wang, Z. GEO-STATISTICAL ASSESSMENT OF GROUND WATER QUALITY IN DHAMAR BASIN, YEMEN. APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH[J]. 2020, 18(1): 625-644, http://dx.doi.org/10.15666/aeer/1801_625644.[40] Wang, Chunmei, Xie, Qiuxia, Gu, Xingfa, Yu, Tao, Meng, Qingyan, Zhou, Xiang, Han, Leran, Zhan, Yulin. Soil moisture estimation using Bayesian Maximum Entropy algorithm from FY3-B, MODIS and ASTER GDEM remote-sensing data in a maize region of HeBei province, China. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2020, 41(18): 7018-7041, https://www.webofscience.com/wos/woscc/full-record/WOS:000544782400001.[41] 孟亚飞, 孟庆岩, 周世健, 张颖. 基于卫星数据稳健分析技术统计分析新疆地区热异常与地震的关系. 地震学报[J]. 2020, 205-215+245, http://lib.cqvip.com/Qikan/Article/Detail?id=7102558140.[42] 孟庆岩. 多空间尺度下城市热环境与不透水面聚集密度响应关系研究——以北京市为例. 遥感学报. 2020, [43] 孟庆岩, 汪雪淼, 孙云晓, 张佳晖, 陈旭. 基于街景数据的绿视率模型构建及其影响因子研究. 生态科学[J]. 2020, 39(1): 146-155, http://lib.cqvip.com/Qikan/Article/Detail?id=7101086379.[44] 郝丽春, 孟庆岩, 葛小三, 张颖, 胡蝶, 张琳琳, 唐子欣. 一种基于八分位法的工业热污染区提取方法. 遥感技术与应用[J]. 2020, 35(2): 469-477, http://lib.cqvip.com/Qikan/Article/Detail?id=7101879877.[45] 谷艳春, 孟庆岩, 胡蝶, 周小成. 工业热异常环境效应分析. 国土资源遥感[J]. 2020, 32(4): 190-198, http://lib.cqvip.com/Qikan/Article/Detail?id=7103507806.[46] Meng, Qingyan, Chen, Xu, Sun, Yunxiao, Zhang, Jiahui, Wang, Qiao, Jancso, Tamas, Liu, Shunxi. Exposure opportunity index: measuring people-perceiving-greenery at floor-level effectively. EARTH SCIENCE INFORMATICS[J]. 2020, 13(1): 29-38, http://dx.doi.org/10.1007/s12145-019-00410-2.[47] Zhang, Linlin, Meng, Qingyan, Hu, Die, Zhang, Ying, Yao, Shun, Chen, Xu. Comparison of different soil dielectric models for microwave soil moisture retrievals. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2020, 41(8): 3054-3069, http://dx.doi.org/10.1080/01431161.2019.1698077.[48] Mona Allam, Mohd Yawar Ali Khan, Qingyan Meng. Retrieval of Turbidity on a Spatio-Temporal Scale Using Landsat 8 SR: A Case Study of the Ramganga River in the Ganges Basin, India. APPLIED SCIENCES[J]. 2020, 10(11): https://doaj.org/article/ff87a17615c94e1b8fefcdc0e2471f81.[49] 汪雪淼, 孟庆岩, 赵少华, 李娟, 张琳琳, 陈旭. GF-2在城市绿地分类及景观格局度量中的应用. 地球信息科学学报[J]. 2020, 22(10): 1971-1982, http://lib.cqvip.com/Qikan/Article/Detail?id=7103221957.[50] Hu, Die, Meng, Qingyan, Zhang, Linlin, Zhang, Ying. Spatial quantitative analysis of the potential driving factors of land surface temperature in different "Centers" of polycentric cities: A case study in Tianjin, China. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2020, 706: http://dx.doi.org/10.1016/j.scitotenv.2019.135244.[51] Sun, Zhenhui, Meng, Qingyan. Object-based automatic multi-index built-up areas extraction method for WorldView-2 satellite imagery. GEOCARTO INTERNATIONAL[J]. 2020, 35(8): 801-817, https://www.webofscience.com/wos/woscc/full-record/WOS:000532604400001.[52] 许芬, 周小成, 孟庆岩, 张颖. 基于“源-汇”景观的饮用水源地非点源污染风险遥感识别与评价. 生态学报[J]. 2020, 40(8): 2609-2620, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=STXB202008010&v=Mjg3NDhITkhNcDQ5RVpJUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3FlWnVkdkZ5L2hXci9KTmpuVGJMRzQ=.[53] 刘文宝, 孟庆岩, 张继超, 张颖, 卢显, 孟亚飞. 基于偏度的地震热红外异常提取. 地震地质[J]. 2020, 42(6): 1509-1524, http://lib.cqvip.com/Qikan/Article/Detail?id=7103892254.[54] 孟庆岩. 基于夜间多时相数据的热异常与地震相关性研究. 地震学报. 2020, [55] 要志鑫, 孟庆岩, 孙震辉, 柳树福, 张琳琳. 不透水面与地表径流时空相关性研究——以杭州市主城区为例. 遥感学报[J]. 2020, 24(2): 182-198, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20208248/.[56] 孟庆岩. Moving Window Method: An Effective Approach to Measure Surrounding Greenness[J]. Journal of the Indian Society of Remote Sensing. 2020, [57] 孟庆岩, 陈旭, 孙云晓, 吴俊. 一种基于LiDAR与多光谱数据的城市建筑物绿地环境指数. 生态学杂志[J]. 2019, 3221-3227, http://lib.cqvip.com/Qikan/Article/Detail?id=83848890504849574948485157.[58] 许芬, 孟庆岩, 张琳琳. 2013–2017年海南岛陆域水体遥感提取数据集. 中国科学数据:中英文网络版[J]. 2019, 4(2): 1-12, http://lib.cqvip.com/Qikan/Article/Detail?id=7101582295.[59] 王宪凯, 孟庆岩, 刘莹, 要志鑫. 2004–2015年三亚市不透水面分布数据集. 中国科学数据:中英文网络版[J]. 2019, 4(2): 1-10, http://lib.cqvip.com/Qikan/Article/Detail?id=7101582297.[60] Y Zhang, Q Meng. A statistical analysis of TIR anomalies extracted by RSTs in relation to an earthquake in the Sichuan area using MODIS LST data. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES[J]. 2019, 19(3): 535-549, https://doaj.org/article/6e44f7291176431b9f473036f51ed0bd.[61] 孟庆岩. 陈智威-基于粒子群神经网络模型反演玉米、小麦叶面积指数. 浙江农业学报. 2019, [62] 雷志斌, 孟庆岩, 田淑芳, 张琳琳, 马建威. 基于GF-3和Landsat8遥感数据的土壤水分反演研究. 地球信息科学学报[J]. 2019, 21(12): 1965-1976, http://lib.cqvip.com/Qikan/Article/Detail?id=7101077387.[63] Chen, Xu, Meng, Qingyan, Hu, Die, Zhang, Linlin, Yang, Jian. Evaluating Greenery around Streets Using Baidu Panoramic Street View Images and the Panoramic Green View Index. FORESTS[J]. 2019, 10(12): http://dx.doi.org/10.3390/f10121109.[64] 王枭轩, 左小清, 孟庆岩, 占玉林, 刘苗, 杨泽楠, 李雨秦. 基于高分3号和高分2号叶面积指数反演与分析. 云南大学学报:自然科学版[J]. 2019, 41(4): 731-737, http://lib.cqvip.com/Qikan/Article/Detail?id=7002559052.[65] 孟庆岩, 谷艳春, 郝丽春, 胡蝶, 张颖, 张琳琳. 三亚市热异常遥感监测数据集. 中国科学数据:中英文网络版[J]. 2019, 4(2): 1-12, http://lib.cqvip.com/Qikan/Article/Detail?id=7101582299.[66] Zhenhui Sun, Qingyan Meng, Weifeng Zhai. An Improved Boosting Learning Saliency Method for Built-Up Areas Extraction in Sentinel-2 Images. REMOTE SENSING[J]. 2018, 10(12): https://doaj.org/article/78fd5a0639814332a77f7124a3be93c1.[67] Xie, Qiuxia, Meng, Qingyan, Zhang, Linlin, Wang, Chunmei, Wang, Qiao, Zhao, Shaohua. Combining of the H/A/Alpha and Freeman-Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. ADVANCES IN METEOROLOGY[J]. 2018, 2018: https://doaj.org/article/2aa752ca94b2442784a05bd539e9b6ba.[68] 陆坤, 孟庆岩, 孙云晓, 孙震辉, 张琳琳. 基于GF-2卫星数据的孕穗期小麦叶面积指数反演——以河北省廊坊市为例. 国土资源遥感[J]. 2018, 30(1): 196-202, http://lib.cqvip.com/Qikan/Article/Detail?id=674529996.[69] 孟庆岩. 针对高分四号卫星影像的边缘检测极速. 遥感信息. 2018, [70] Yang, ZhiRong, Meng, QingYan, Huang, JieJie, Wang, ZhiQing, Li, ChunYu, Fang, YiTian. A particle-size regulated approach to producing high strength gasification-coke by blending a larger proportion of long flame coal. 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