城市陆表环境遥感

Urban Land Surface Environment Remote Sensing

文章

已发表学术论文214篇，其中SCI 100篇，EI 21篇，CSCD 81篇，其它12篇。近5年发表论文共90篇，其中，SCI 67篇，EI 3篇，CSCD 16篇，其它4篇。各类别文章以正式发表时间为序，目录如下：

SCI（100）

  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  1. Qian J, Zhang L, Schlink U, et al. Impact of urban land use and anthropogenic heat on winter and summer outdoor thermal comfort in Beijing[J]. Urban Climate, 2025, 59: 102306.
  2. Han Z, Zhang L, Meng Q, et al. IAE-CDNet: A Remote Sensing Change Detection Network for Buildings with Interactive Attention-Enhanced[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.
  3. Gao J, Meng Q.Zhang L.et al. Modeling the impact ofpandemic on the urban thermal environment over megacitiesin China:Spatiotemporal analysis from the perspective of heaanomaly variations[J]. International Journal of Applied EarthObseration and Geoinformation, 2025.136:104396
  4. Instance-Level Multitask Learning for 3D Building Extraction from Monocular Off-Nadir Satellite Sensor Imagery [J]. IEEE Transactions on Geoscience and Remote Sensing.
  5. Meng Q, Chen S, Zhang L, et al. GLOSTFM: A global spatiotemporal fusion model integrating multi-source satellite observations to enhance land surface temperature resolution[J]. Remote Sensing of Environment, 2025, 319: 114640.
  1. Jiangkang Qian, Linlin Zhang, Uwe Schlink, Qingyan Meng. High spatial and temporal resolution multi-source anthropogenic heat estimation for China[J]. Resources, Conservation and Recycling, 2024, 203: 107451.
  2. Zhao M, Meng Q, Wang L, et al. Towards robust classification of multi-view remote sensing images with partial data availability[J]. Remote Sensing of Environment, 2024, 306: 114112.
  3. Meng Q, Gao J, Zhang L, et al. Coupled cooling effects between urban parks and surrounding building morphologies based on the microclimate evaluation framework integrating remote sensing data[J]. Sustainable Cities and Society, 2024, 102: 105235.
  4. Zhang S, Zhang L, Meng Q, et al. Evaluating agricultural non-point source pollution with high-resolution remote sensing technology and SWAT model: A case study in Ningxia Yellow River Irrigation District, China[J]. Ecological Indicators, 2024, 166: 112578.
  5. Zhao Q, Gao L, Meng Q, et al. Nonlinear causal relationships between urbanization and extreme climate events in China[J]. Journal of Cleaner Production, 2024, 434: 139889.
  6. Liu W, Zhang L*, Hu X, Meng Q, Qian J, Gao J, Li T. Nonlinear effects of urban multidimensional characteristics on daytime and nighttime land surface temperature in highly urbanized regions: A case study in Beijing, China[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 132: 104067.
  7. Zhan C, Gao S, Zhang Y, Li J, Meng Q*. ETAS-Inspired Spatio-Temporal Convolutional (STC) Model for Next-Day Earthquake Forecasting[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1–14.
  8. Meng Q, Zhang L, Wang X, Hu X, Allam M, Wu J, Yan M, Qi J, Zhai W. Travel preference: an indicator of the benefits of urban green space[J]. International Journal of Digital Earth, 2024, 17(1): 2342978.
  9. Tan X, Meng Q*, Zhao F, Zhang L, Hu X, Jancsó T. HR-UVFormer: A Top-Down and Multimodal Hierarchical Extraction Approach for Urban Villages[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1–15.
  10. Hu D, Guo F, Meng Q*, et al. A novel dual-layer composite framework for downscaling urban land surface temperature coupled with spatial autocorrelation and spatial heterogeneity[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 130: 103900.
  11. Wu J, Gao L, Meng Q*, et al. Effect of land cover pattern on rainfall during a landfalling typhoon: A simulation of Typhoon Hato[J]. Atmospheric Research, 2024: 107329.
  12. Wu J, Meng Q*, Gao L, et al. A deep learning framework for 3D vegetation extraction in complex urban environments[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 129: 103798.
  13. Su C, Hu X, Meng Q, et al. A multimodal fusion framework for urban scene understanding and functional identification using geospatial data[J]. International Journal of Applied Earth Observation and Geoinformation, 2024, 127: 103696.
  14. Allam M, Meng Q, Elhag M, et al. Atmospheric Correction Algorithms Assessment for Sentinel-2A Imagery over Inland Waters of China: Case Study, Qiandao Lake[J]. Earth Systems and Environment, 2024, 8(1): 105-119.
  1. Chen S, Zhang L, Hu X, et al. A Spatiotemporal Fusion Model of Land Surface Temperature Based on Pixel Long Time-Series Regression: Expanding Inputs for Efficient Generation of Robust Fused Results[J]. Remote Sensing, 2023, 15(21): 5211.
  2. Meng Q, Qian J, Schlink U, et al. Anthropogenic heat variation during the COVID-19 pandemic control measures in four Chinese megacities[J]. Remote Sensing of Environment, 2023, 293: 113602.
  3. Meng Q, Shi W, Li S, et al. PanDiff: A Novel Pansharpening Method Based on Denoising Diffusion Probabilistic Model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
  4. Gao J, Meng Q*, Hu D, et al. A uniform methodology of local cooling and warming effects for different urban site types: multi-perspective assessment based on four northern Chinese cities[J]. Sustainable Cities and Society, 2023, 96: 104652.
  5. Qian J, Meng Q*, Zhang L, et al. Characteristics of anthropogenic heat with different modeling ideas and its driving effect on urban heat islands in seven typical Chinese cities[J]. Science of The Total Environment, 2023, 886: 163989.
  6. Zhao M, Meng Q*, Zhang L, et al. Local and long-range collaborative learning for remote sensing scene classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
  7. Zhang Y, Didier S, Meng Q, et al. A new 3D error diagram for a more balanced assessment of binary alarms for predicting earthquakes: Application to TIR anomalies in Sichuan area, China [J]. IEEE Transactions on Geoscience and Remote Sensing, 2023.
  8. Sun Z, Li P, Meng Q, et al. An Improved YOLOv5 Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images[J]. Remote Sensing, 2023, 15(7): 1796.
  9. Li, P.; Sun, Z.; Duan, G.; Wang, D.; Meng, Q.; Sun, Y. DMU-Net: A Dual-Stream Multi-Scale U-Net Network Using Multi-Dimensional Spatial Information for Urban Building Extraction. Sensors 2023, 23, 1991.
  10. Xinke Wang, Qingyan Meng*, Xingzhao Liu, Linlin Zhang, Xinli Hu, Yaxin Bi, Tamás Jancsó. Evaluation of Fairness of Urban Park Green Space Based on an Improved Supply Model of Green Space: a Case Study of Bei-jing Central City. Remote Sensing. 2023.
  11. Wu P, Meng Q*, Zhang Y, et al. Coarse-graining research of the thermal infrared anomalies before earthquakes in the Sichuan area on Google Earth engine[J]. Frontiers in Earth Science, 2023, 11: 1101165.
  12. Sun, Z.; Li, P.; Wang, D.; Meng, Q.; Sun, Y.; Zhai, W. Recognizing Urban Functional Zones by GF-7 Satellite Stereo Imagery and POI Data. Appl. Sci. 2023, 13, 6300
  1. Chen D, Zhang F, Zhang M, et al. Landscape and vegetation traits of urban green space can predict local surface temperature[J]. Science of The Total Environment, 2022, 825: 154006.
  2. Meng Q, Liu W*, Zhang L, Allam M, Bi Y, Hu X, Gao J, Hu D, Jancsó T. Relationships between Land Surface Temperatures and Neighboring Environment in Highly Urbanized Areas: Seasonal and Scale Effects Analyses of Beijing, China. Remote Sensing. 2022; 14(17):4340. https://doi.org/10.3390/rs14174340.
  3. Liu Y, Meng Q*, Zhang J, Zhang L, Allam M, Hu X, Zhan C. 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. 2022; 14(21):5511. https://doi.org/10.3390/rs14215511
  4. Zhan C, Meng Q*, Zhang Y, et al. Application of 3D Error Diagram in Thermal Infrared Earthquake Prediction: Qinghai–Tibet Plateau[J]. Remote Sensing, 2022, 14(23): 5925.
  5. Qi, J.; Meng Q*; Zhang, L.;Wang, X.; Gao, J.; Jing, L.; Jancsó, T. Contributing Factors and Trend Prediction of Urban-Settled Population Distribution Based on Human Perception Measurement: A Study on Beijing, China. Remote Sens. 2022, 14, 3965. https://doi.org/10.3390/rs14163965
  6. Shi W, Meng Q*, Zhang L, Zhao M, Su C, Jancsó T. DSANet: A Deep Supervision-Based Simple Attention Network for Efficient Semantic Segmentation in Remote Sensing Imagery. Remote Sensing. 2022; 14(21):5399. https://doi.org/10.3390/rs14215399
  7. Gao, J., Meng, Q.*, Zhang, L., & Hu, D. (2022). 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. Giscience & Remote Sensing, 59(1), 1643–1659.
  8. Qingyan Meng, Maofan Zhao, Linlin Zhang, Wenxu Shi, Chen Su, Lorenzo Bruzzone. Multilayer Feature Fusion Network with Spatial Attention and Gated Mechanism for Remote Sensing Scene Classification. Geoscience and Remote Sensing Letters.2022.
  9. Ying Liu, Qingyan Meng*, Linlin Zhang, Chaoyang Wu. NDBSI: A normalized difference bare soil index for remote sensing to improve bare soil mapping accuracy in urban and rural areas. Catena .214 (2022) 106265.
  10. Jiangkang Qian, Qingyan Meng*, Linlin Zhanga, Die Hu, Xinli Hu, Wenxiu Liu.Improved anthropogenic heat flux model for fine spatiotemporal information in Southeast China. Environmental Pollution.2022.
  1. Die Hu，Qingyan Meng*，Uwe Schlink，Daniel Hertel，Wenxiu Liu，Maofan Zhao，Fengxiang Guo. 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.2021.106.102648.
  2. Linlin Zhang，Qingyan Meng*，Jiangyuan Zeng，Xiangqin Wei，Hongtao Shi.Evaluation of Gaofen-3 C-Band SAR for Soil Moisture Retrieval Using Different Polarimetric Decomposition Models. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2021.
  3. Jingyuan Wang, Xinli Hu *, Qingyan Meng, Linlin Zhang, Chengyi Wang, Xiangchen Liu, Maofan Zhao.Developing a Method to Extract Building 3D Information from GF-7 Data. Remote Sensing 2021.
  4. YupengKang, XinliHu*, QingyanMeng, YoufengZou, LinlinZhang, MiaoLiu, MaofanZhao, Land Cover and Crop Classification Based on Red Edge Indices Features of GF-6 WFV Time Series Data. Remote Sensing.2021.
  5. Mona Allam, Mario Mhawej, Qingyan Meng, Ghaleb Faour*, Yaser Abunnasrd, Ali Fadel, Hu Xinli, Monthly Sentinel-2 and MODIS LST datasets to retrieve evapotranspiration rates: An improvement of SEBALI, Agricultural Water Management, 2021.
  6. Xuemiao Wang, Qingyan Meng*, Linlin Zhang, Die Hu. Evaluation of urban green space in terms of thermal environmental benefits using geographical detector analysis. International Journal of Applied Earth Observations and Geoinformation. 105 (2021) 102610.
  7. Zhang, Y., Meng, Q.*, Z. Wang, X. Lu, and D. Hu (2021), Temperature Variations in Multiple Air Layers before the Mw 6.2 2014 Ludian Earthquake, Yunnan, China, Remote Sensing, 13(5), 884, doi: 10.3390/rs13050884.
  8. Zhang, Y., Meng, Q.*, Ouillon, G., Sornette, D., Ma, W., Zhang, L., … & Geng, F. (2021). Spatially variable model for extracting TIR anomalies before earthquakes: Application to Chinese Mainland. Remote Sensing of Environment, 267, 112720.
  9. Liu, W., Meng, Q.*, Allam, M., Zhang, L., Hu, D., & Menenti, M. (2021). Driving factors of land surface temperature in urban agglomerations: A case study in the pearl river delta, china. Remote Sensing, 13(15), 2858.
  10. Meng, Q., Hu, D.*, Zhang, Y., Chen, X., Zhang, L., & Wang, Z. (2021). Do industrial parks generate intra-heat island effects in cities? New evidence, quantitative methods, and contributing factors from a spatiotemporal analysis of top steel plants in China. Environmental Pollution, 118383.Available online 16 October 2021.
  11. Yupeng Kang, Qingyan Meng*, Miao Liu, Youfeng Zou, Xuemiao Wang. Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data.Sensors.2021.
  12. Wang, Z., Meng, Q.*, Allam, M., Hu, D., Zhang, L., & Menenti, M. (2021). Environmental and anthropogenic drivers of surface urban heat island intensity: A case-study in the Yangtze River Delta, China. Ecological Indicators, 128, 107845.
  13. Mona Allam, Mario Mhawej, Qingyan Meng*, Ghaleb Faour, Yaser Abunnasr, Ali Fadel,Hu Xinli. Monthly 10-m evapotranspiration rates retrieved by SEBALI with Sentinel-2 and MODIS LST data[J]. Agricultural Water Management,2021,243.

EI（21）

  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  1. Shi W, Meng Q, Zhang L, et al. Building Height Extraction from Monocular Off-Nadir Satellite Sensor Imagery[C]//IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024: 2537-2540.
  1. 孟庆岩, 王子安, 张琳琳, 等. 多空间尺度下城市热环境与不透水面聚集密度响应关系[J]. 遥感学报, 2023, 26(9): 1789-1801.

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  1. 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.2020,24（2）:182-198.

CSCD（81）

  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  1. 孟庆岩,杜弘宇,王莉萍,等.城市植被遥感分类研究进展与展望[J].浙江大学学报(农业与生命科学版),2024,50(02):190-199.
  2. 张琳琳,雷志斌,王莉萍,等.基于高分三号卫星合成孔径雷达数据的农田土壤水分反演[J].浙江大学学报(农业与生命科学版),2024,50(02):209-220.
  3. 田金雨, 孟庆岩, 侯卫国, 等. 基于景观格局因子的居住点可达绿地质量评价[J]. 生态科学, 2024, 43(2): 183.

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  1. 王子安, 孟庆岩*, 张琳琳, 胡蝶, 杨天梁. 基于CA-Markov模型的海口市城市热岛模拟预测[J]. 中国科学院大学学报, 2022, 39(6): 742-753.
  1. WANG Zian, MENG Qingyan, ZHANG Linlin, HU Die, YANG Tianliang. Simulation and Prediction of Urban Heat Island in Haikou city based on CA-Markov Model[J]. Journal of University of Chinese Academy of Sciences, DOI: 10.7523/j.ucas.2021.0006.
  2. 孟亚飞, 孟庆岩*, 张颖, 周世健, 刘文宝. 基于夜间多时相遥感数据的热异常与地震的相关性[J].地震学报,2021,43(01):124-135.
  3. 卢显,耿飞,张晓东,孙珂,孟庆岩,闫伟.天山中东段中强地震与地面气温的关系研究[J].地震.2021.
  4. 孟亚飞,孟庆岩*,周世健,张颖.基于RST算法统计分析新疆地区热异常与地震的关系[J/OL].地震学报:1-11[2021-01-05].
  5. 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[J].生态科学,2021,40(01):169-181.
  1. 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[J]，遥感技术与应用，2020.35(01): 174-184。
  2. 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[J].遥感技术与应用, 2020,35(02):469-477.
  3. 谷艳春,孟庆岩*,胡蝶,周小成.工业热异常环境效应分析[J].国土资源遥感,2020,32(04):190-198.
  4. 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[J]. 国土资源遥感,2020.
  5. 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[J].地震学报,2020,42(02):205-215+245.
  6. 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[J].遥感技术与应用,2020,35(02):469-477.
  7. 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[J].地球信息科学学报,2020,22(10):1971-1982.
  8. 许芬，周小成，孟庆岩*等，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[J]，生态学报，2020(8):1-12.DOI:10.5846/stxb201901240188
  9. 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[J]. 生态科学 .2020(1):148-157.
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