近20期六合彩結果

EN
陸平
長聘副教授,博士生導師
災害遙感與全球變化

陸平,近20期六合彩結果-香港六合彩走勢圖 長聘副教授,博士生導師。歐盟委員會瑪麗居里學者,同濟大學青年英才計劃獲得者。畢業于意大利佛羅倫薩大學地球科學專業,博士。主要研究方向為災害遙感與全球變化,包括滑坡多源空間傳感器網絡立體觀測、地質災害隱患遙感智能識別與風險評估、青藏高原多年凍土環境遙感監測與活動層厚度反演等。主持國家自然科學基金項目4項、國家重點研發計劃重點專項/973計劃二級課題3項、第二次青藏高原綜合科學考察研究子專題1項。發表中英文學術論文100余篇,包括SCI期刊論文70余篇,ESI高被引論文3篇,被引用4000余次。獲得上海市自然科學獎一等獎1項。現任國際滑坡學會(ICL)理事會成員、聯合國國際滑坡計劃全球推廣委員會(IPL-GPC)委員、國際地質災害與減災協會(ICGdR)教席副主席,中國地震學會地震災害鏈專業委員會委員、《Geoenvironmental Disasters》編委。


歡迎熱愛科學、熱愛自然、熱愛生活,有志于學術研究的研究生、博士后等科研人員加入研究小組!

聯系方式:[email protected]


教育背景及工作經歷

2025.1-至今           同濟大學 近20期六合彩結果 近20期六合彩結果  長聘副教授

2016.1-2024.12      同濟大學 近20期六合彩結果 近20期六合彩結果   副研究員

2012.7-2015.12      同濟大學 近20期六合彩結果 近20期六合彩結果   講師

2007.9-2011.9        意大利佛羅倫薩大學 地球科學  博士

2004.9-2007.9        比利時天主教魯汶大學 對地觀測  碩士

2000.9-2004.6        南開大學 環境科學  本科


科研獎勵

  • 強震擾動區復雜孕災環境下巖土體失穩演化機理與全過程災變理論研究,上海市自然科學獎一等獎,排名3,上海市政府,2020.12


主持科研項目

  • 降雨型群發滑坡隱患識別與短臨預警技術,國家重點研發計劃項目子課題

  • 基于MT-InSAR技術的多年凍土過火區地表形變監測,國家自然科學基金國際合作與交流項目

  • 凍土產流機制與變化規律,第二次青藏高原綜合科學考察研究子專題

  • 基于精密空間對地觀測技術的山地城市多災害防控與韌性提升方法研究,高峰學科建設項目

  • 川藏鐵路沿線復雜孕災環境下滑坡編目繪制方法研究,國家自然科學基金面上項目

  • 青藏高原典型區域凍土活動層厚度產品研發,技術服務項目

  • 基于馬爾科夫隨機場的滑坡編目自動繪制方法研究,國家自然科學基金面上項目

  • 冰凍圈關鍵參數多尺度觀測與數據產品研制,國家重點研發計劃重點專項二級課題

  • 基于多源傳感器網絡觀測的滑坡災害預測模型研究,中央高校基本科研業務項目

  • 滑坡體結構動態探測及前兆獲取方法研究,973計劃重點專項二級課題

  • 基于無人機的滑坡災害快速調查方法研究,同濟大學優秀青年教師計劃

  • 滑坡災害快速調查技術與驗證,中央高校基本科研業務項目

  • 面向對象的滑坡編目快速繪制方法研究,國家自然科學基金青年項目


主要論文

  • Shi, W., Lu, P.*, Han, J., & Wang, Q. (2024). Evaluation of food-water-energy sustainable development in China’s western frontiers during 2010–2021. International Journal of Digital Earth, 17(1), 2376267.

  • Lu, P., Han, J., Yi, Y., Hao, T., Zhou, F., Meng, X., Zhang, Y. and Li, R., 2023. MT-InSAR unveils dynamic permafrost disturbances in Hoh Xil (Kekexili) on the Tibetan Plateau hinterland. IEEE Transactions on Geoscience and Remote Sensing, 61, pp.1-16.

  • Qin, Y., Lu, P.*, Han, J., Wang, Q., Li, Z., Wu, J. and Li, R., 2023. Responses of thermokarst lake dynamics to permafrost degradation on the central Tibetan Plateau. CATENA, 231, p.107309.

  • Qin, Y., Zhang, C. and Lu, P.*, 2023. A fully automatic framework for sub-pixel mapping of thermokarst lakes using Sentinel-2 images. Science of Remote Sensing, 8, p.100111.

  • Qin, Y., Lu, P.* and Wu, J., 2023. Mapping thermokarst lakes in different physical states on the central Tibetan plateau. International Journal of Digital Earth, 16(2), pp.4296-4316.

  • Liu, Q., Niu, J., Lu, P.*, Dong, F., Zhou, F., Meng, X., Xu, W., Li, S. and Hu, B.X., 2022. Interannual and seasonal variations of permafrost thaw depth on the Qinghai-Tibetan plateau: A comparative study using long short-term memory, convolutional neural networks, and random forest. Science of The Total Environment, p.155886.

  • Festa, D., Bonano, M., Casagli, N., Confuorto, P., De Luca, C., Del Soldato, M., Lanari, R., Lu, P., Manunta, M., Manzo, M. and Onorato, G., 2022. Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study. ISPRS Journal of Photogrammetry and Remote Sensing, 189, pp.1-22.

  • Lu, P., Shi, W. and Li, Z., 2022. Landslide mapping from PlanetScope images using improved region-based level set evolution. IEEE Geoscience and Remote Sensing Letters, 19, pp.1-5.

  • Li, R., Li, Z., Han, J., Lu, P., Qiao, G., Meng, X., Hao, T. and Zhou, F., 2021. Monitoring surface deformation of permafrost in Wudaoliang Region, Qinghai–Tibet Plateau with ENVISAT ASAR data. International Journal of Applied Earth Observation and Geoinformation, 104, p.102527.

  • Zhang, C., Wang, Q., Lu, P., Ge, Y. and Atkinson, P.M., 2021. Fast and Slow Changes Constrained Spatio-Temporal Subpixel Mapping. IEEE Transactions on Geoscience and Remote Sensing, 60, pp.1-16.

  • Shi, W. and Lu, P.*, 2021. Intelligent perception of coseismic landslide migration areas along Sichuan–Tibet railway. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp.8876-8883.

  • Lu, P., Shi, W., Wang, Q., Li, Z., Qin, Y. and Fan, X., 2021. Co-seismic landslide mapping using Sentinel-2 10-m fused NIR narrow, red-edge, and SWIR bands. Landslides, 18(6), pp.2017-2037.

  • Bai, S. and Lu, P.*, 2021. Modern reactivations of a thick colluvial landslide reconstructed from dendrochronology: the example of the Xiakou landslide, China. Land Degradation & Development, 32(7), pp.2271-2286.

  • Lu, P., Han, J., Li, Z., Xu, R., Li, R., Hao, T. and Qiao, G., 2020. Lake outburst accelerated permafrost degradation on Qinghai-Tibet Plateau. Remote Sensing of Environment, 249, p.112011.

  • Lu, P., Han, J., Hao, T., Li, R. and Qiao, G., 2020. Seasonal deformation of permafrost in Wudaoliang basin in Qinghai-Tibet plateau revealed by StaMPS-InSAR. Marine Geodesy, 43(3), pp.248-268.

  • Bai, S., Lu, P.* and Thiebes, B., 2020. Comparing characteristics of rainfall-and earthquake-triggered landslides in the Upper Minjiang catchment, China. Engineering Geology, 268, p.105518.

  • Lu, P., Bai, S., Tofani, V. and Casagli, N., 2019. Landslides detection through optimized hot spot analysis on persistent scatterers and distributed scatterers. ISPRS Journal of Photogrammetry and Remote Sensing, 156, pp.147-159.

  • Lu, P., Qin, Y., Li, Z., Mondini, A.C. and Casagli, N., 2019. Landslide mapping from multi-sensor data through improved change detection-based Markov random field. Remote Sensing of Environment, 231, p.111235.

  • Haque, U., Da Silva, P.F., Devoli, G., Pilz, J., Zhao, B., Khaloua, A., Wilopo, W., Andersen, P., Lu, P., Lee, J. and Yamamoto, T., 2019. The human cost of global warming: Deadly landslides and their triggers (1995–2014). Science of the Total Environment, 682, pp.673-684.

  • Intrieri, E., Raspini, F., Fumagalli, A., Lu, P., Del Conte, S., Farina, P., Allievi, J., Ferretti, A. and Casagli, N., 2018. The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data. Landslides, 15(1), pp.123-133.

  • Li, Z., Shi, W., Lu, P., Yan, L., Wang, Q. and Miao, Z., 2016. Landslide mapping from aerial photographs using change detection-based Markov random field. Remote sensing of environment, 187, pp.76-90.

  • Li, Z., Shi, W., Myint, S.W., Lu, P. and Wang, Q., 2016. Semi-automated landslide inventory mapping from bitemporal aerial photographs using change detection and level set method. Remote Sensing of Environment, 175, pp.215-230.

  • Bai, S., Lu, P.* and Wang, J., 2016. Recent channel changes of the Jiangsu reach of the Yangtze river: an investigation from multi-temporal digital elevation models. Journal of Coastal Conservation, 20(1), pp.43-49.

  • Liu, C., Hu, M., Lu, P.*, Li, W., Scaioni, M., Wu, H., Huang, Y. and Ye, B., 2016. Assessment of regional shallow landslide stability based on airborne laser scanning data in the Yingxiu area of Sichuan Province (China). European Journal of Remote Sensing, 49(1), pp.835-860.

  • Lu, P., Bai, S. and Casagli, N., 2015. Spatial relationships between landslide occurrences and land cover across the Arno river basin (Italy). Environmental Earth Sciences, 74(7), pp.5541-5555.

  • Lu, P., Wu, H., Qiao, G., Li, W., Scaioni, M., Feng, T., Liu, S., Chen, W., Li, N., Liu, C. and Tong, X., 2015. Model test study on monitoring dynamic process of slope failure through spatial sensor network. Environmental Earth Sciences, 74(4), pp.3315-3332.

  • Bai, S.B., Lu, P.* and Wang, J., 2015. Landslide susceptibility assessment of the Youfang catchment using logistic regression. Journal of Mountain Science, 12(4), pp.816-827.

  • Lu, P.*, Catani, F., Tofani, V. and Casagli, N., 2014. Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry. Landslides, 11(4), pp.685-696.

  • Lu, P., Bai, S. and Casagli, N., 2014. Investigating spatial patterns of persistent scatterer interferometry point targets and landslide occurrences in the Arno River Basin. Remote Sensing, 6(8), pp.6817-6843.

  • Scaioni, M., Lu, P.*, Feng, T., Chen, W., Qiao, G., Wu, H., Tong, X., Wang, W. and Li, R., 2013. Analysis of spatial sensor network observations during landslide simulation experiments. European journal of environmental and civil engineering, 17(9), pp.802-825.

  • Qiao, G., Lu, P.*, Scaioni, M., Xu, S., Tong, X., Feng, T., Wu, H., Chen, W., Tian, Y., Wang, W. and Li, R., 2013. Landslide investigation with remote sensing and sensor network: From susceptibility mapping and scaled-down simulation towards in situ sensor network design. Remote Sensing, 5(9), pp.4319-4346.

  • Lu, P.*, Casagli, N., Catani, F. and Tofani, V., 2012. Persistent Scatterers Interferometry Hotspot and Cluster Analysis (PSI-HCA) for detection of extremely slow-moving landslides. International journal of remote sensing, 33(2), pp.466-489.

  • Lu, P.*, Stumpf, A., Kerle, N. and Casagli, N., 2011. Object-oriented change detection for landslide rapid mapping. IEEE Geoscience and remote sensing letters, 8(4), pp.701-705.

  • Lu, P.*, Casagli, N. and Catani, F., 2010. PSI-HSR: a new approach for representing Persistent Scatterer Interferometry (PSI) point targets using the hue and saturation scale. International Journal of Remote Sensing, 31(8), pp.2189-2196.


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