Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective-Reference-Cited by-同舟云学术

Interpretation and Attribution of Coastal Land Subsidence: An InSAR and Machine Learning Perspective

Published:2024 Issue: Volume:17 Page:4768-4783
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Qiao Xiaojun¹^ORCID,Chu Tianxing¹^ORCID,Krell Evan²^ORCID,Tissot Philippe³^ORCID,Holland Seneca⁴,Ahmed Mohamed⁵^ORCID,Smilovsky Danielle⁴^ORCID

Affiliation:

1. Department of Computer Science and the Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

2. innovation in COmputing REsearch (iCORE) Lab, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

3. Conrad Blucher Institute for Surveying and Science and the Department of Physical and Environmental Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

4. Conrad Blucher Institute for Surveying and Science, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

5. Department of Physical and Environmental Sciences, Texas A&M University-Corpus Christi, Corpus Christi, TX, USA

Funder

U.S. Department of Commerce-National Oceanic and Atmospheric Administration

University of Southern Mississippi

National Science Foundation

Open Access Publication Fund provided by the Mary and Jeff Bell Library at Texas A&M University-Corpus Christi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/4609443/10330207/10418467-aam.pdf

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