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Monitoring Natural and Anthropogenic Geohazards with SAR Big Data: Successful Experiences Using the Geohazards Exploitation Platform.

, и . IGARSS, стр. 1804-1807. IEEE, (2021)

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Monitoring 2011-2020 Traffic Patterns in Wuhan (China) with COSMO-SkyMed SAR, Amidst the 7th CISM Military World Games and COVID-19 Outbreak., , , и . Remote. Sens., 12 (10): 1636 (2020)Detecting subsidence-induced faulting in Mexican urban areas by means of Persistent Scatterer Interferometry and subsidence horizontal gradient mapping., , , , и . IGARSS, стр. 2125-2128. IEEE, (2011)Multi-Frequency Synthetic Aperture Radar Observations to Explore Ground Subsidence., , , и . IGARSS, стр. 4931-4934. IEEE, (2022)Analyzing the Situational and Event-Dependent Maritime Traffic Variations Using COSMO-SkyMed SAR Imagery in Wuhan, China, Before and During COVID-19 Lockdown., , , и . IGARSS, стр. 4872-4875. IEEE, (2021)Sentinel-1 InSAR Assessment of Present-Day Land Subsidence Due to Exploitation of Groundwater Resources in Central Mexico., и . IGARSS, стр. 4215-4218. IEEE, (2020)Insar time-series analysis for management and mitigation of geological risk in urban area., , , и . IGARSS, стр. 1924-1927. IEEE, (2010)Snow Water Equivalent Retrieval from COSMO-SkyMed Observations Through Machine Learning Algorithms and Model Simulations., , , , , , , и . IGARSS, стр. 5473-5476. IEEE, (2021)Monitoring Natural and Anthropogenic Geohazards with SAR Big Data: Successful Experiences Using the Geohazards Exploitation Platform., и . IGARSS, стр. 1804-1807. IEEE, (2021)Multi-Frequency SAR Images for SWE Retrieval in Alpine Areas Through Machine Learning APPROACHES., , , , , , , , , и . IGARSS, стр. 2930-2933. IEEE, (2020)Application of Deep Learning to Optical and SAR Images for the Classification of Agricultural Areas in Italy., , , , , , и . IGARSS, стр. 4163-4166. IEEE, (2020)