D-InSAR Analysis of Sentinel-1 Data for Landslide Detection in Northern Morocco, Case Study: Chefchaouen

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ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.org/journal/gep
E-mail: gep@scirp.org

"D-InSAR Analysis of Sentinel-1 Data for Landslide Detection in Northern Morocco, Case Study: Chefchaouen"
written by Azizi Bouchra, Hakdaoui Mustapha, Raji Mohammed,
published by Journal of Geoscience and Environment Protection, Vol.8 No.7, 2020

has been cited by the following article(s):

[1]	Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning
	Remote Sensing, 2022

[2]	Mud volcano as a feature of emergence in Caspian Sea
	Oceanologia, 2022

[3]	Satellite-based measurement of ground displacements for the coastal region of Charleston, South Carolina
	Journal of Applied …, 2022

[4]	A Preliminary Study on the Use of Differential Interferometric Synthetic Aperture Radar (DInSAR) for Ground Subsidence Assessment
	Geo-Extreme 2021, 2021

[1]	Mud volcano as a feature of emergence in Caspian Sea Oceanologia, 2022 DOI:10.1016/j.oceano.2022.03.006

[2]	Removing InSAR Topography-Dependent Atmospheric Effect Based on Deep Learning Remote Sensing, 2022 DOI:10.3390/rs14174171

[3]	A Preliminary Study on the Use of Differential Interferometric Synthetic Aperture Radar (DInSAR) for Ground Subsidence Assessment Geo-Extreme 2021, 2021 DOI:10.1061/9780784483688.027

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