Member Since 1993
Zhong Lu
Professor, Shuler-Foscue Chair, Southern Methodist University
AGU Research
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Characterization of Slow-Moving Landslides Using Satellite Imagery at the Glacier Bay National Park and Preserve.
AGU 2024
global environmental change | 13 december 2024
Emmanuel Junior Budukumah, Chunli Dai, Bretwood M....
Enhancing the ability to identify and monitor incipient landslides before they develop into rapid failures may help to manage landslide risk. In this ...
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Seismicity and InSAR Reveal Trans-Crustal Magmatic and Tectonic Processes at Great Sitkin Volcano, Alaska: 1999 – 2024
AGU 2024
volcanology, geochemistry and petrology | 13 december 2024
John A. Power, Diana C. Roman, Jiahui Wang, Zhong ...
Great Sitkin Volcano in the western Aleutian arc has been erupting since May of 2021. The volcano is in an area of oblique subduction and surrounded b...
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Patterns of Bedrock Landsliding in Southern Alaska
AGU 2024
earth and planetary surface processes | 13 december 2024
Lauren N. Schaefer, Gina Belair, Jeffrey A. Coe, E...
Large, unrecognized landslides may exist in plain sight in rarely visited and even more rarely studied locations, such as along the climatically and t...
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Sourdough Peak Rock Glacier Monitoring with DSInSAR.
AGU 2024
cryosphere | 12 december 2024
Qingyu Sui, Zhong Lu
Rock glaciers are a prominent feature in numerous alpine environments and serve as a vital water resource in various arid mountain regions. Research o...
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InSAR deformation survey of the Great Lakes Basin from 2007 to 2010
AGU 2024
geodesy | 12 december 2024
Jiahui Wang, Zhong Lu, Jinwoo Kim
The Great Lakes Basin (GLB), holding approximately 20% of the worlds and more than 90% of the North Americas fresh surface water resources, plays a cr...
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A phase correlation-based time series InSAR algorithm
AGU 2024
geodesy | 12 december 2024
Jiahui Wang, Zhong Lu
Coherence loss due to changes in surface scattering properties poses a significant challenge for deformation mapping using Interferometric Synthetic A...
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Noise2Fringe: A Self-supervised Deep Learning Approach for Radar Interferometry Denoising
AGU 2024
geodesy | 11 december 2024
Kang Liang, Zhong Lu, Jinwoo Kim
The quality of the interferometric phase can be strongly affected by the noise introduced by decorrelation, a vexatious phenomenon mainly due to the c...
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Detecting Oil and Gas Land Dynamics in the Permian Basin by Using Deep Learning and Very High-resolution Aerial Images
AGU 2024
biogeosciences | 11 december 2024
Yue Ma, Xiao-Peng Song, ANDRES HERNANDEZ-SERNA, Ha...
The Permian Basin is one of the most significant oil and gas (O&G)-producing regions in the United States. The exploitation of O&G resources i...
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