Earth Observations for Geohazards: Volume 1

Earth Observations for Geohazards: Volume 1

Paperback | April 28, 2017

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Earth Observations (EO) encompasses different types of sensors (e.g., SAR, LiDAR, Optical and multispectral) and platforms (e.g., satellites, aircraft, and Unmanned Aerial Vehicles) and enables us to monitor and model geohazards over regions at different scales in which ground observations may not be possible due to physical and/or political constraints. EO can provide high spatial, temporal and spectral resolution, stereo-mapping and all-weather-imaging capabilities, but not by a single satellite at a time. Improved satellite and sensor technologies, increased frequency of satellite measurements, and easier access and interpretation of EO information have all contributed to the increased demand for satellite EO data. EO, combined with complementary terrestrial observations and with physical models, have been widely used to monitor geohazards, revolutionizing our understanding of how the Earth system works. 

Title:Earth Observations for Geohazards: Volume 1Format:PaperbackProduct dimensions:394 pages, 9.61 X 6.69 X 1.07 inShipping dimensions:394 pages, 9.61 X 6.69 X 1.07 inPublished:April 28, 2017Publisher:MDPI AGLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:303842398X

ISBN - 13:9783038423980

Appropriate for ages: All ages

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Table of Contents

1) Earth Observations for Geohazards: Present and Future Challenges
2) Interseismic Deformation of the Altyn Tagh Fault Determined by Interferometric Synthetic Aperture Radar (InSAR) Measurements
3) Time-Dependent Afterslip of the 2009 Mw 6.3 Dachaidan Earthquake (China) and Viscosity beneath the Qaidam Basin Inferred from Postseismic Deformation Observations
4) Continent-Wide 2-D Co-Seismic Deformation of the 2015 Mw 8.3 Illapel, Chile Earthquake Derived from Sentinel-1A Data: Correction of Azimuth Co-Registration Error
5) Coseismic Fault Model of Mw 8.3 2015 Illapel Earthquake (Chile) Retrieved from Multi-Orbit Sentinel1-A DInSAR Measurements
6) Source Parameters of the 2003–2004 Bange Earthquake Sequence, Central Tibet, China, Estimated from InSAR Data
7) Space Geodetic Observations and Modeling of 2016 Mw 5.9 Menyuan Earthquake: Implications on Seismogenic Tectonic Motion
8) Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR
Data and Numerical Modeling
9) Remote Sensing for Characterisation and Kinematic Analysis of Large Slope Failures: Debre Sina
Landslide, Main Ethiopian Rift Escarpment
10) Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the
Xishancun Giant Landslide Monitoring
11) Landslide Deformation Analysis by Coupling Deformation Time Series from SAR Data with
Hydrological Factors through Data Assimilation
12) Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site
13) Evaluation of the Use of Sub-Pixel Offset Tracking Techniques to Monitor Landslides in Densely
Vegetated Steeply Sloped Areas
14) Landslide Displacement Monitoring by a Fully Polarimetric SAR Offset Tracking Method
15) Pi-SAR-L2 Observation of the Landslide Caused by Typhoon Wipha on Izu Oshima Island
16) Analysis of Landslide Evolution Affecting Olive Groves Using UAV and Photogrammetric
Techniques
17) Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data
18) Digital Elevation Model Differencing and Error Estimation from Multiple Sources: A Case Study from the Meiyuan Shan Landslide in Taiwan
19) Using an Unmanned Aerial Vehicle-Based Digital Imaging System to Derive a 3D Point Cloud for Landslide Scarp Recognition
20) Advanced Three-Dimensional Finite Element Modeling of a Slow Landslide through the Exploitation of DInSAR Measurements and in Situ Surveys