Enhanced Land Subsidence Interpolation through a Hybrid Deep Convolutional Neural Network and InSAR Time Series
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Enhanced Land Subsidence Interpolation through a Hybrid Deep Convolutional Neural Network and InSAR Time Series ; day:04 ; month:06 ; year:2024 ; pages:1-24 ; extent:24
Geoscientific model development discussions ; (04.06.2024), 1-24 (gesamt 24)
- Creator
-
Azarm, Zahra
Mehrabi, Hamid
Nadi, Saeed
- DOI
-
10.5194/gmd-2024-15
- URN
-
urn:nbn:de:101:1-2406060414382.337384428859
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:50 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Azarm, Zahra
- Mehrabi, Hamid
- Nadi, Saeed
Other Objects (12)
InSAR data for monitoring land subsidence: time to think big
Interpolation of GPS results incorporating geophysical and InSAR information
Land subsidence monitoring based on InSAR and inversion of aquifer parameters
Detection, characterization, and analysis of land subsidence in Nairobi using InSAR
Inferring subsidence characteristics in Wuhan (China) through multitemporal InSAR and hydrogeological analysis
InSAR Detection of Localized Subsidence Induced by Sinkhole Activity in Suburban West-Central Florida
Analysing the Impact of Land Subsidence on the Flooding Risk: Evaluation Through InSAR and Modelling
Assessing subsidence of Mexico City from InSAR and LandSat ETM+ with CGPS and SVM
Ground subsidence geo-hazards induced by rapid urbanization: implications from InSAR observation and geological analysis
Advanced InSAR methodologies to study subsidence and fracturing caused by groundwater withdrawal in Valley of Mexico
Twenty years of coal mining-induced subsidence in the Upper Silesia in Poland identified using InSAR
Ground subsidence monitoring over Jiaxing region, Zhejiang province from 2006 to 2010 using time series InSAR technique
InSAR data for monitoring land subsidence: time to think big
Interpolation of GPS results incorporating geophysical and InSAR information
Land subsidence monitoring based on InSAR and inversion of aquifer parameters
Detection, characterization, and analysis of land subsidence in Nairobi using InSAR
Inferring subsidence characteristics in Wuhan (China) through multitemporal InSAR and hydrogeological analysis
InSAR Detection of Localized Subsidence Induced by Sinkhole Activity in Suburban West-Central Florida
Analysing the Impact of Land Subsidence on the Flooding Risk: Evaluation Through InSAR and Modelling
Assessing subsidence of Mexico City from InSAR and LandSat ETM+ with CGPS and SVM
Ground subsidence geo-hazards induced by rapid urbanization: implications from InSAR observation and geological analysis
Advanced InSAR methodologies to study subsidence and fracturing caused by groundwater withdrawal in Valley of Mexico
Twenty years of coal mining-induced subsidence in the Upper Silesia in Poland identified using InSAR
Ground subsidence monitoring over Jiaxing region, Zhejiang province from 2006 to 2010 using time series InSAR technique
InSAR data for monitoring land subsidence: time to think big
Interpolation of GPS results incorporating geophysical and InSAR information
Land subsidence monitoring based on InSAR and inversion of aquifer parameters
Detection, characterization, and analysis of land subsidence in Nairobi using InSAR
Inferring subsidence characteristics in Wuhan (China) through multitemporal InSAR and hydrogeological analysis
InSAR Detection of Localized Subsidence Induced by Sinkhole Activity in Suburban West-Central Florida
Analysing the Impact of Land Subsidence on the Flooding Risk: Evaluation Through InSAR and Modelling
Assessing subsidence of Mexico City from InSAR and LandSat ETM+ with CGPS and SVM
Ground subsidence geo-hazards induced by rapid urbanization: implications from InSAR observation and geological analysis
Advanced InSAR methodologies to study subsidence and fracturing caused by groundwater withdrawal in Valley of Mexico
Twenty years of coal mining-induced subsidence in the Upper Silesia in Poland identified using InSAR