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胡燮

職稱:助理教授 | 研究員

研究方向:遙感 | 自然災(zāi)害

通訊地址:

Email:hu.xie@pku.edu.cn

個(gè)人簡(jiǎn)歷 人才培養(yǎng) 科學(xué)研究 教研成果

個(gè)人簡(jiǎn)歷

胡燮,北京大學(xué)博雅青年學(xué)者、研究員、博士生導(dǎo)師、國(guó)家級(jí)青年人才。從遙感、地理、地球物理多學(xué)科交叉視角,發(fā)展合成孔徑雷達(dá)SAR影像和光學(xué)影像時(shí)序分析技術(shù),研究自然過程和人類活動(dòng)引起的地質(zhì)與氣象災(zāi)害,包括山體滑坡、城市沉降、流域洪澇。榮獲AGU自然災(zāi)害領(lǐng)域青年科學(xué)家獎(jiǎng)(AGU Early Career in Natural Hazards)、NASA地球科學(xué)領(lǐng)域青年科學(xué)家獎(jiǎng)(NASA Early Career in Earth Science)、CIRES Visiting Fellowship、北京市應(yīng)急管理領(lǐng)域青年學(xué)科帶頭人。發(fā)表論文五十余篇,以第一/通訊作者在專業(yè)期刊Earth and Planetary Science Letters | Geophysical Research Letters | Journal of Geophysical Research Remote Sensing of Environment等發(fā)表論文二十余篇、在綜合交叉類期刊Nature Communications發(fā)表論文一篇,研究成果被NASA等新聞媒體報(bào)道、入選NASA Feature Image。擔(dān)任國(guó)家科技部重點(diǎn)研發(fā)課題負(fù)責(zé)人,主持國(guó)家自然科學(xué)基金項(xiàng)目、北京市自然科學(xué)基金項(xiàng)目、NASA地球與空間科學(xué)研究基金項(xiàng)目及日本JAXA、德國(guó)DLR和西班牙INTA衛(wèi)星數(shù)據(jù)項(xiàng)目,擔(dān)任Journal of Geophysical Research: Machine Learning and Computation期刊和Pure and Applied Geophysics等期刊副主編。


更多信息請(qǐng)查閱:自然災(zāi)害遙感課題組主頁(yè)


教育經(jīng)歷

2014-2018       博士      地球物理        美國(guó)南衛(wèi)理公會(huì)大學(xué)

2011-2013       碩士      遙感              武漢大學(xué)

2007-2011       學(xué)士       GIS               中國(guó)地質(zhì)大學(xué)(武漢)


工作經(jīng)歷

2021至今         Tenure-track助理教授        北京大學(xué) 城市與環(huán)境學(xué)院

2020-2021       Tenure-track助理教授        美國(guó)休斯頓大學(xué) 土木與環(huán)境工程學(xué)院

2018-2020       博士后研究員                     美國(guó)加州大學(xué)伯克利分校 地球與行星科學(xué)學(xué)院

2016                訪問學(xué)生                           新加坡南洋理工大學(xué) 對(duì)地觀測(cè)中心EOS

2013                研究助理                           沙特阿卜杜拉國(guó)王科技大學(xué)


榮譽(yù)與獎(jiǎng)勵(lì)

2025            中國(guó)生態(tài)環(huán)境十大科技進(jìn)展(排名4/8)        

2025            CIRES (University of Colorado Boulder) Visiting Fellowship Program

2024            北京市青年人才托舉工程

2024            教育部產(chǎn)學(xué)合作協(xié)同育人項(xiàng)目實(shí)踐條件和實(shí)踐基地建設(shè)優(yōu)秀項(xiàng)目案例 (排名8/9)

2023            北京市應(yīng)急管理領(lǐng)域青年學(xué)科帶頭人

2023            華夏建設(shè)科學(xué)技術(shù)獎(jiǎng)一等獎(jiǎng) (排名6/15)

2022            美國(guó)地球物理學(xué)會(huì)AGU自然災(zāi)害領(lǐng)域青年科學(xué)家 Early Career Award

2021             美國(guó)航空航天局NASA地球科學(xué)領(lǐng)域青年科學(xué)家 Early Career Award

2018             國(guó)家自費(fèi)留學(xué)獎(jiǎng)

2015             美國(guó)航空航天局NASA地球與空間科學(xué)研究基金 Fellowship


項(xiàng)目

2025-2027    國(guó)家科技部重點(diǎn)研發(fā) (課題負(fù)責(zé)人)

2025-2027    北京市自然科學(xué)基金面上項(xiàng)目 (主持)

2025             自然資源部地質(zhì)災(zāi)害智能監(jiān)測(cè)與風(fēng)險(xiǎn)預(yù)警工程技術(shù)創(chuàng)新中心開放基金 (主持)

2024-2027    國(guó)家自然科學(xué)基金面上項(xiàng)目 (主持)

2024             中國(guó)科學(xué)院國(guó)家空間科學(xué)中心開放基金 (主持)

2024             北京大學(xué)新工科交叉青年專項(xiàng) (課題負(fù)責(zé)人)

2023-2025    國(guó)家自然科學(xué)基金項(xiàng)目 (主持)

2023             國(guó)家自然科學(xué)基金專項(xiàng)項(xiàng)目月球與深空探測(cè)科學(xué)研究 (主持)

2023             北京大學(xué)新工科交叉青年專項(xiàng) (主持)

2022-2025    Joint DLR-INTA Scientific Announcement of Opportunity (PI)

2022-2025    The 3rd Research Announcement on the Earth Observations (60 scenes quota; PI)

2021-2023     Utilization of TerraSAR-X / TanDEM-X Data for Scientific Use (150 scenes quota; PI)

2021-2024     NASA New (Early Career) Investigator Program in Earth Science (PI)

2020-2021     Southern California Earthquake Center (SCEC) (primary participant)        

2018-2021      California Energy Commission Program grant (primary participant)      

2015-2019      NASA Earth Surface & Interior Program grant (primary participant)

2015-2018      NASA Earth and Space Science Fellowship (PI)


任職

2024-           AGU Natural Hazards Section Canvassing Committee

2024-           Journal of Geophysical Research: Machine Learning and Computation 副主編 (自然災(zāi)害領(lǐng)域)

2021-            Pure and Applied Geophysics 副主編 (自然災(zāi)害領(lǐng)域)

2022-           Journal of Remote Sensing 青年編委

2022-           Journal of Geodesy and Geoinformation Science 青年編委


會(huì)員

AGU | EGU | IGARSS Membership

CYWater委員會(huì)委員

中國(guó)巖石力學(xué)與工程學(xué)會(huì)


會(huì)議召集 

Since 2021   European Geosciences Union

自然災(zāi)害遙感課題組竭誠(chéng)歡迎 GIS | 遙感|人工智能 | 地球物理方向品德優(yōu)秀、勤于思考、樂于實(shí)踐的本 | 碩 | 博士生和博士后加入我們團(tuán)隊(duì)!歡迎有意開展拔尖計(jì)劃本科生、研究生(2027年及之后入學(xué),2026年已無名額)科研助理與我聯(lián)系。


博士后申請(qǐng)者可關(guān)注

“博雅”博士后項(xiàng)目 https://postdocs.pku.edu.cn/

北京大學(xué)博士后申請(qǐng)程序、申請(qǐng)表及申請(qǐng)書等 https://postdocs.pku.edu.cn/bshyw/jzsq/index.htm


I am looking for highly motivated undergrads, graduates, and postdoctoral researchers who are dedicated to one or more research topics on remote sensing (e.g., SAR, GPS), natural hazards, AI, etc.

For international students who are intersted in undergrad and graduate programs http://www.isd.pku.edu.cn/HOME.htm

For international students who are intersted in postdoc positions. Our lab evolves interesting research data and topics to help strengthen your academic profile and early career development! The postdoc package includes good benefits in housing and healthcare as well as the national leading educational resources for kids. There are two application seasons for the university-wide Boya Postdoc Fellowship (usually due in March and September) https://postdocs.pku.edu.cn/. Other grants may also be available.

Please feel free to email me if you are interested.


課程設(shè)置

GIS高級(jí)技術(shù)與應(yīng)用 (本科; 3學(xué)分)                           2022F | 2023F  | 2024F

SAR Remote Sensing (研究生; 3學(xué)分)                    2023S  | 2024F

微波遙感地學(xué)專題應(yīng)用 (研究生; 2學(xué)分)                    2023F 

CIVE 7397 SAR Remote Sensing (Grad; 3學(xué)分)       2020F @ University of Houston

山體滑坡形變觀測(cè)與運(yùn)動(dòng)機(jī)理

人居環(huán)境地質(zhì)災(zāi)害與流域洪澇災(zāi)害

全球變化下青藏高原凍土形變與退化

火星滑坡與月球及火星撞擊坑

遙感大數(shù)據(jù)機(jī)器學(xué)習(xí)


更多信息請(qǐng)見自然災(zāi)害遙感NHRS課題組主頁(yè):https://gsprs-pku.github.io

算力:組內(nèi)服務(wù)器三臺(tái),CPU均鉑金系列以上,GPU顯卡10+張,TB級(jí)內(nèi)存,PB級(jí)存儲(chǔ);每位成員均配備工作站,部分高配顯卡。

? Student/postdoc advisee in my lab  *Corresponding


Journal publications

2025

49. Lin, Y.?, Hu, X.*, Wang, F., Tang, Q., Zhao, Y., Li, Y., Li, T., Liu, C., Wang, X., Li, D., Quantifying the lifespan of 3D flood structures: unlocking the potential of flood detention areas for enhanced flood control in China. Water Resources Research. https://doi.org/10.1029/2025WR039992

48. An, N.*, Dai, Z., Hu, X.*, Wang, B., Huo, Z., Xiao, Y., Zhan, W., Yang, Y., 2025. Comparing landslide patterns and failure mechanisms in restored and native forest ecosystems: Insights from geomorphology, lithology and vegetation. Catena, 260, 109452. https://doi.org/10.1016/j.catena.2025.109452

47. Wang, G.*, Bao, Y., Zhang, S., Huang, G., Hu, X., 2025. ChangePointCNN-GNSS: an AI model for assessing change points and optimizing site velocity estimation from global GNSS data. Journal of Geophysical Research: Machine Learning and Computation (Accepted)  

46. Yang, L., Lu, Z., Zhao, C.*, Hu, X., Wang, B., 2025. Kinematic glacier thickness inversion using 3D flow velocities from multi-track SAR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/JSTARS.2025.3624258

45. Yang, L., Lu, Z.*, Zhao, C.*, Zhang, Q., Hu, X., Wang, B., 2025. Triggering factors and flooding processes of glacial lake outburst flood at Ranzerio lake. npj Natural Hazards, 2, 90. https://doi.org/10.1038/s44304-025-00147-7

44. Xue, L.*, Hu, X., Tang, Q., Qi, S., Moucha, R., 2025. Post-anthropogenic landscape evolution: Terrain reshaping and geomorphic response in the Loess Plateau. Geomorphology, 488, 109976. https://doi.org/10.1016/j.geomorph.2025.109976

43. Yang, L., Lu, Z.*, Zhao, C., Hu, X., Wang, B., 2025. Studying mass movement sources and potential glacial lake outburst flood at Jiongpu Co, southeastern Tibet, using multiple remote sensing methods and HEC-RAS model. Journal of Geophysical Research: Earth Surface, 130, e2024JF008067. https://doi.org/10.1029/2024JF008067 

42. Song, Y.?, Hu, X.*, Shi, X., Cui, Y., Zhou, C., Xu, Y., 2025. Hydrological proxy derived from InSAR coherence in landslide characterization. Remote Sensing of Environment, 322, 114712. https://doi.org/10.1016/j.rse.2025.114712 

41. Lin, Y.?, Hu, X.*, Lu, H.?, Niu, F., Liu, G., Huang, L., Zhu, H., Zhang, S., Liu, J., Liu, Y., 2025. Domain adaptive semantic segmentation of multi-annual retrogressive thaw slumps. Journal of Geophysical Research: Machine Learning and Computation, 1, e2024JH000370. https://doi.org/10.1029/2024JH000370 

40. Tian, S., Sha, A., Luo, Y., Ke, Y., Spencer, R., Hu, X., Ning, M., Zhao, Y., Deng, R., Gao, Y., Liu, Y., Li, D.*, 2025. A novel framework for river organic carbon retrieval through satellite data and machine learning. ISPRS Journal of Photogrammetry and Remote Sensing, 221, 109-123. https://doi.org/10.1016/j.isprsjprs.2025.01.028 

39. Tang, F., Qi, S., Guo, S.*, Li, Y., Guo, X., Lu, X, Zou, Y., Wang, X., Hu, X., Ma, L., Zheng, B., Wang, Z., 2025. The Influence of Reservoirs on Landslide Erosion. Remote Sensing, 17, 569. https://doi.org/10.3390/rs17040569 

2024

38. Lin, F.?, Hu, X.*, Lin, Y.?, Li, Y., Liu, Y., Li, D., 2024. Dual-branch multi-modal convergence for crater detection using Chang’e image. International Journal of Applied Earth Observation and Geoinformation, 134, 104215. https://doi.org/10.1016/j.jag.2024.104215 

37. Ao, Z., Hu, X.L., Tao, S.*, Hu, X., Wang, G., Li, M., Wang, F., Hu, L., Liang, X., Qi, W., Ran, Q., Yusup, A., Xiao, J., Fang, J., Chang, J., Zeng, Z., Fu, Y., Xue, B., Wang, P., Zhao, K., Li, L., Li, W., Li, Y., Jiang, M., Yang, Y., Shen, H., Zhao, X., Shi, Y., Wu, B., Yan, Z., Wang, M., Su, Y., Hu, T., Ma, Q., Bai, H., Wang, L., Yang, Z., Feng, Y., Zhang, D., Huang, E., Pan, J., Ye, H., Yang, C., Qin, Y., He, C., Guo, Y., Cheng, K., Ren, Y., Yang, H., Zheng, C., Zhu, J., Wang, S., Ji, C., Zhu, B., Liu, H., Tang, Z., Wang, Z., Zhao, S., Tang, Y., Xing, H., Guo, Q., Liu, Y., Fang, J., 2024. A national-scale assessment of land subsidence in China’s major cities. Science, 384(6693), 301-306. https://doi.org/10.1126/science.adl4366 

36. Zheng, W., Hu, J.*, Lu, Z., Hu, X., Sun, Q., Liu, J., Huang, B. Enhancing 4-D landslide monitoring and block interaction analysis with a novel Kalman-Filter-Based InSAR approach. Journal of Geophysical Research: Earth Surface, 129, e2024JF007923. https://doi.org/10.1029/2024JF007923 

35. Li, X., Yu, X.?, Burgi, P., Wald, D., Hu, X., Xu, S.*, 2024. Rapid Building Damage Estimates from the M7.8 Turkey Earthquake sequence via Causality-informed Bayesian Inference from Satellite Imagery. Earthquake Spectra, 41(1). https://doi.org/10.1177/875529302412905 (Editor’s Choice)

34. Ye, X., Zhu, H.H.*, Wu, B., Tian, F., Zhang, W., Hu, X., Schenato, L., Pasuto, A., Catani, F., 2024. Near-surface soil hydrothermal response feedbacks landslide activity and mechanism. Engineering Geology, 341, 107690. https://doi.org/10.1016/j.enggeo.2024.107690

33. Zhou, C., Cao, Y.*, Gan, L., Wang, Y., Motagh, M., Roessner, S., Hu, X., Yin, K., 2024. A novel framework for landslide displacement prediction using MT-InSAR and machine learning techniques. Engineering Geology, 334, 107497. https://doi.org/10.1016/j.enggeo.2024.107497 

32. Thomas, J., Klida, R., Oommen, T.*, Sajinkumar, K.S., Zhang, B., Hu, X., 2024. Need for a multi-sensor monitoring approach for embankment failures: lessons learned from the Edenville Dam failure. Environmental & Engineering Geoscience, 30(1-2), 19–30. https://doi.org/10.21663/EEG-D-23-00056 

31. Li, Y., Cui, Y.*, Hu, X., Lu, Z., Guo, J., Wang, Y., Wang, H., Wang, S., Zhou, X., 2024. Glacier retreat in Eastern Himalaya drives catastrophic glacier hazard chain. Geophysical Research Letters, 51, e2024GL108202. https://doi.org/10.1029/2024GL108202 

30. Welch, J., Wang, G.*, Bao, Y., Zhang, S., Huang, G., Hu, X., 2024. Unveiling the hidden threat: drought-induced inelastic subsidence in expansive soils. Geophysical Research Letters, 51, e2023GL107549. https://doi.org/10.1029/2023GL107549 

29. Yu, X.?, Hu, X.*, Song, Y.?, Xu, S., Li, X., Song, X., Fan, X., Wang, F., 2024. Intelligent assessment of land surface damage in 2023 Turkey-Syria Earthquake by multiple remote sensing observations. npj Natural Hazards, 1, 3. https://doi.org/10.1038/s44304-024-00003-0 (Annual Cover Paper, sole)

28. Chen, X.*, Xu, X., Ma, Y.*, Wang, G., Chen, D., Cao, D., Xu, X., Zhang, Q., Li, L., Liu, Y., Liu, L., Li, M., Luo, S., Wang, X., Hu, X., 2024. Investigation of precipitation process in the water vapor channel of the Yarlung Zsangbo Grand Canyon. Bulletin of the American Meteorological Society, E370–E386. https://doi.org/10.1175/BAMS-D-23-0120.2 

27. Wang, F.*, Xue, P., Su, W., Hu, X., 2024. The locality-adaptation theory of traditional villages. Indoor and Built Environment, 86, 171–180. https://doi.org/10.1177/1420326X241234171 

2023

26. Yang, L., Lu, Z., Ouyang, C., Zhao, C.*, Hu, X., Zhang, Q., 2023. Glacial lake outburst hazard monitoring and flooding modeling by integrating multiple remote sensing methods and HEC-RAS. Remote Sensing, 15(22), 5327. https://doi.org/10.3390/rs15225327  

25. Zheng, W., Hu, J.*, Lu, Z., Hu, X., Sun, Q., Liu, J., Zhu, J., Li, Z., 2023. Enhanced kinematic inversion of 3-D displacements, geometry, and hydraulic properties of a north-south slow-moving landslide in Three Gorges Reservoir. Journal of Geophysical Research: Solid Earth, 128, e2022JB026232. https://doi.org/10.1029/2022JB026232  

24. Shi, X., Hu, X.*, 2023. Characterization of landslide displacements in an active fault zone in Northwest China. Earth Surface Processes and Landforms. https://doi.org/10.1002/esp.5594 

23. Yu, X.?*, Wang, G., Hu, X., Liu, Y., Bao, Y., 2023. Land subsidence in Tianjin, China: before and after the South-to-North Water Diversion. Remote Sensing15(6), 1647. https://doi.org/10.3390/rs15061647 

22. Li, X., Dimasaka, J., Zhang, X., Yu, X.?, Wang, C., Hu, X., Noh, H. Y., Zhao, X., Xu, S.*, 2023. Seismic impacts report for M7.8 and M7.5 Turkey-Syria earthquake using near real-time crowdsourcing and remote sensing information. DesignSafe-CI.

2022

21. Qi, S.*, Hou, X., Yu, Y., Zhang, Y., Hu, X., Zhang, L., Li, Z., Guo, S., Zhang, F., Li, T., Peng, J., 2022. Collapse and subsidence mechanism of compacted loess and suitability of mountain bulldozing and city creation projects in the Loess Plateau of China. Science Bulletin.

20. Yu, X.?, Hu, X.*, Wang, G., Wang, K., Chen, X., 2022. Machine-learning estimation of snow depth in 2021 Texas statewide winter storm using SAR imagery. Geophysical Research Letters, 49, e2022GL099119. https://doi.org/10.1029/2022GL099119  

19. Zhou, C., Cao, Y., Hu, X., Yin, K.*, Wang, Y., Catani, F., 2022, Enhanced dynamic landslide hazard assessment using MT-InSAR method in the Three Gorges Reservoir Area. Landslides, 19, 1585–1597 (2022). https://doi.org/10.1007/s10346-021-01796-1 

2021

18. Hu, X.*, Xue, L., Bürgmann, R., Fu, Y., 2021, Stress perturbations from hydrological and industrial loads and seismicity in the Salt Lake City region. Journal of Geophysical Research: Solid Earth, 126, e2021JB022362. https://doi.org/10.1029/2021JB022362 

17. Hu, X.*, Bürgmann, R., Fielding, E.J., Xu, X., Zhen, L., 2021, Machine-learning characterization of tectonic, hydrological and anthropogenic sources of active ground deformation in California. Journal of Geophysical Research: Solid Earth, 126, e2021JB022373. https://doi.org/10.1029/2021JB022373 

16. Hu, X.*, Liang, X., Yu, Y., Guo, S., Cui, Y., Li, Y., Qi, S., 2021, Remote sensing characterization of Mountain Excavation and City Construction in Loess Plateau. Geophysical Research Letters, 48, e2021GL095230. https://doi.org/10.1029/2021GL095230 

15. Shi, X.G., Hu, X.*, Sitar, N., Kayen, R., Qi, S., Jiang, H., Wang, X., 2021, Hydrological control shift from river level to rainfall in the reactivated Guobu Slope besides the Laxiwa hydropower station (China). Remote Sensing of Environment, 265, 112664. https://doi.org/10.1016/j.rse.2021.112664 

14. Yu, H.?, Hu, X., 2021, Knowledge-aided InSAR phase unwrapping approach. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3081039 

13. Shi, G.Q., Ma, P.*, Hu, X., Song, X., Huang, B., Lin, H., 2021, Surface response and subsurface features during the restriction of groundwater exploitation in Suzhou (China) inferred from decadal SAR interferometry. Remote Sensing of Environment, 256, 112327. https://doi.org/10.1016/j.rse.2021.112327 

12. Shi, Z.M., Hu, X., Wang, C.-Y.*, 2021, Hydro-mechanical coupling in the shallow crust – insight from groundwater level and satellite radar imagery in a mining area. Journal of Hydrology, 594, 125649. https://doi.org/10.1016/j.jhydrol.2020.125649 

2020

11. Hu, X.*, Bürgmann, R., Schulz, W., Fielding, E.J., 2020, Four-dimensional surface motions of the Slumgullion landslide and quantification of hydrometeorological forcing. Nature Communications, 11, 2792. https://doi.org/10.1038/s41467-020-16617-7 

10. Hu, X.*, Bürgmann, R., 2020, Aquifer deformation and active faulting in Salt Lake Valley, Utah, USA. Earth and Planetary Science Letters, 547. https://doi.org/10.1016/j.epsl.2020.116471 

9. Hu, X.*, Bürgmann, R., Fielding, E.J., Lee, H., 2020, Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data. Remote Sensing of Environment, 251. https://doi.org/10.1016/j.rse.2020.112057 

8. Hu, X.*, Bürgmann, R., 2020, Rheology of a debris slide from the joint analysis of UAVSAR and LiDAR data. Geophysical Research Letters, 47, e2020GL087452. https://doi.org/10.1029/2020GL087452 

2019 and before

7. Hu, X.*, Bürgmann, R., Lu, Z., Handwerger, A. L., Wang, T., Miao, R., 2019, Mobility, thickness, and hydraulic diffusivity of the slow-moving Monroe landslide in California revealed by L-band satellite radar interferometry. Journal of Geophysical Research: Solid Earth, 124. https://doi.org/10.1029/2019JB017560 

6. Hu, X.*, Lu, Z., Wang, T., 2018, Characterization of hydrogeological properties in Salt Lake Valley, Utah using InSAR. Journal of Geophysical Research: Earth Surface, 123. https://doi.org/10.1029/2017JF004497 

5. Hu, X.*, Lu, Z., Pierson, T. C., Kramer, R., George, D. L., 2018, Combining InSAR and GPS to determine transient movement and thickness of a seasonally active low‐gradient translational landslide. Geophysical Research Letters, 45, 1453–1462. https://doi.org/10.1002/2017GL076623 

4. Hu, X., Oommen, T., Lu, Z.*, Wang, T., Kim, J. W., 2017, Consolidation settlement of Salt Lake County tailings impoundment revealed by time-series InSAR observations from multiple radar satellites. Remote Sensing of Environment, 202, 199–209. https://doi.org/10.1016/j.rse.2017.05.023 

3. Hu, X., Wang, T., Pierson, T. C., Lu, Z.*, Kim, J. W., Cecere, T. H., 2016, Detecting seasonal landslide movement within the Cascade landslide complex (Washington) using time-series SAR imagery. Remote Sensing of Environment, 187, 49–61. https://doi.org/10.1016/j.rse.2016.10.006 

2. Kim, J.W., Lu, Z.*, Qu, F., Hu, X., 2015, Pre-2014 mudslides at Oso revealed by InSAR and multi-source DEM analysis. Geomatics, Natural Hazards and Risk, 6(3), 184–194. https://doi.org/10.1080/19475705.2015.1016556 

1. Hu, X., Wang, T, Liao, M., 2014, Measuring coseismic displacements with point-like targets offset tracking. IEEE Geoscience and Remote Sensing Letters, 11(1), 283–287. https://doi.org/10.1109/LGRS.2013.2256104 



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