InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River-Reference-Cited by-同舟云学术

InSAR-Based Active Landslide Detection and Characterization Along the Upper Reaches of the Yellow River

Published:2023 Issue: Volume:16 Page:3819-3830
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:

Du Jiantao¹,Li Zhenhong¹^ORCID,Song Chuang¹,Zhu Wu¹,Ji Yiqi¹^ORCID,Zhang Chenglong¹,Chen Bo¹,Su Shengrui¹

Affiliation:

1. College of Geological Engineering and Geomatics, Chang'an University, Xi'an, China

Funder

National Natural Science Foundation of China

Shaanxi Province Science and Technology Innovation Team

Shaanxi Province Geoscience Big Data and Geohazard Prevention Innovation Team

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10087258.pdf?arnumber=10087258

Reference72 articles.

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4. Semi-automated detection of landslide timing using harmonic modelling of satellite imagery, Buckinghorse River, Canada

5. Multi-stage development characteristics and geomorphic evolution process of the Xijitan super large landslide in the Guide Basin, upper reaches of Yellow River;zhao;Geol Review,2016

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