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
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"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]	Improving the Understanding of Landslide Development in Alpine Forest Regions Using the InSAR Technique: A Case Study in Xiaojin County China
	Applied Sciences, 2023

[2]	The capability of SNAP software application to identify landslide using InSAR technique
	… of the Earth, Parts A/B/C, 2023

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

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

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

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

[1]	Preserving Geoheritage in Chefchaouen-Morocco, After a Well Accident: A Focus on Sustainability Geoheritage, 2025 DOI:10.1007/s12371-024-01059-0

[2]	Assessing landslide susceptibility in Chefchaouen, Morocco: An application of the landslide numerical risk factor method for sustainable urban development and disaster risk management Biosystems Diversity, 2024 DOI:10.15421/012442

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

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

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

[6]	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

[7]	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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