[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Fernández-Torres et al., 2022 - Google Patents

Risk assessment of land subsidence and associated faulting in Mexico City using InSAR

Fernández-Torres et al., 2022

View PDF
Document ID
13521080905280663592
Author
Fernández-Torres E
Cabral-Cano E
Novelo-Casanova D
Solano-Rojas D
Havazli E
Salazar-Tlaczani L
Publication year
Publication venue
Natural Hazards

External Links

Snippet

Land subsidence and associated faulting have affected Mexico City (CDMX), Mexico, for more than 100 years. However, despite the extensive research on land subsidence in CDMX, very few investigations focus on characterizing its socioeconomic risk due to land …
Continue reading at drive.google.com (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
    • G01C21/28—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network with correlation of data from several navigational instruments
    • G01C21/30—Map- or contour-matching
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
    • G01C21/20—Instruments for performing navigational calculations
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/02—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations using radio waves
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/008—Earthquake measurement or prediction
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V99/00—Subject matter not provided for in other groups of this subclass
    • G01V99/005—Geomodels or geomodelling, not related to particular measurements
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/61—Analysis by combining or comparing a seismic data set with other data

Similar Documents

Publication Publication Date Title
Oliveira et al. The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
Farina et al. Permanent Scatterers for landslide investigations: outcomes from the ESA-SLAM project
van der Horst et al. Monitoring land subsidence in Yangon, Myanmar using Sentinel-1 persistent scatterer interferometry and assessment of driving mechanisms
Fernández-Torres et al. Risk assessment of land subsidence and associated faulting in Mexico City using InSAR
Bui et al. Recent land deformation detected by Sentinel-1A InSAR data (2016–2020) over Hanoi, Vietnam, and the relationship with groundwater level change
Bianchini et al. Multi-temporal evaluation of landslide movements and impacts on buildings in San Fratello (Italy) by means of C-band and X-band PSI data
Orhan et al. An application on sinkhole susceptibility mapping by integrating remote sensing and geographic information systems
Bouali et al. Mapping of slow landslides on the Palos Verdes Peninsula using the California landslide inventory and persistent scatterer interferometry
Tapete et al. Localising deformation along the elevation of linear structures: An experiment with space-borne InSAR and RTK GPS on the Roman Aqueducts in Rome, Italy
Liu et al. Land subsidence modeling and assessment in the West Pearl River Delta from combined InSAR time series, land use and geological data
Hussain et al. Sentinel-1A for monitoring land subsidence of coastal city of Pakistan using Persistent Scatterers In-SAR technique
Du et al. Long‐term subsidence in Mexico City from 2004 to 2018 revealed by five synthetic aperture radar sensors
Navarro-Hernández et al. Spatial analysis of land subsidence in the San Luis potosi valley induced by aquifer overexploitation using the coherent pixels technique (CPT) and sentinel-1 insar observation
Yang et al. A PSI targets characterization approach to interpreting surface displacement signals: A case study of the Shanghai metro tunnels
Yao et al. Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D‐InSAR and Offset Tracking Technology
Poreh et al. Assessing subsidence of Mexico City from InSAR and LandSat ETM+ with CGPS and SVM
Fernández-Torres et al. Country-scale assessment of urban areas, population, and households exposed to land subsidence using Sentinel-1 InSAR, and GPS time series
Festa et al. Automated classification of A-DInSAR-based ground deformation by using random forest
Liu et al. Forecast volume of potential landslides in alpine-canyon terrain using time-series InSAR technology: A case study in the Bailong River basin, China
Xu et al. Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City—A Case Study of Lanzhou, China
Wang et al. Integrated Assessment of Coastal Subsidence in Nansha District, Guangzhou City, China: Insights from SBAS-InSAR Monitoring and Risk Evaluation
Yulianto et al. The utilization of remotely sensed data to analyze the estimated volume of pyroclastic deposits and morphological changes caused by the 2010–2015 eruption of Sinabung Volcano, North Sumatra, Indonesia
Aydöner et al. The role of the integration of remote sensing and GIS in land use/land cover analysis after an earthquake
Bayramov et al. Quantitative assessment of ground deformations for the risk management of petroleum and gas pipelines using radar interferometry
Lu et al. Analysis of Spatiotemporal Land Subsidence Patterns of Suzhou City, China, over the Past 15 years Based on Multisource SAR Data