Geophysical inversion and imaging are effective methods for mapping subsurface structures and physical properties using one or more geophysical measurements including seismic, gravity, geomagnetic, electromagnetic data and others. However, the inversion or imaging using a single kind of geophysical data suffers serious non-uniqueness. To tackle the challenge of the non-uniqueness, joint inversion and imaging have been proposed and rapidly developed by simultaneously using multiple kinds of geophysical measurements or multiple components of one kind of geophysical measurement. Though significant advances have been made in joint inversion and imaging, many practical and fundamental concerns have yet to be answered, such as effective algorithms of joint inversion or imaging, coupling mechanism of different physical parameters, and fusion algorithms of multiscale geophysical measurements, etc.
The goal of this Research Topic is to address theoretical and operational challenges in joint geophysical inversion and imaging when applied to Earth imaging, mineral exploration, geohazards monitoring and environmental problems. The “joint” may refer to using complementary information from different kinds of geophysical measurements (e.g., seismic, gravity, geomagnetic, electromagnetic, ground-penetrating-radar, remote sensing, and well logging), using different components of one or more geophysical measurements (i.e., multi-component seismic, multi-component electromagnetic, multi-component geomagnetic, and multi-component gravity data), or using one kind of geophysical data measured at different locations (e.g., on the land surface, in the sky, in the ocean, on the floor, and in the borehole). This Research Topic aims to present a collection of articles for joint data processing, forward and inverse modeling, regularization, uncertainty analyses, computational issues, interpretations and applications to real data.
We welcome Original Research, Methods, Review, and Perspective articles dealing with all aspects of the joint inversion or imaging of geophysical data. The topics include but are not limited to:
1. Advances in theory and methodology of joint inversion using two or more multi-component or different kinds of geophysical measurements;
2. Joint seismic inversion, velocity model building, or migration imaging with different data, such as multicomponents, body and surface waves, reflected and refracted waves, active and passive source data, etc.;
3. Joint electromagnetic inversion or imaging using different types of electrical and electromagnetic data;
4. Joint inversion using gravity/geomagnetic and its gradient data, or using land, shipborne, airborne, satellite gravity/geomagnetic data;
5. Joint inversion or imaging with fusion of measurements in different spatial positions, at different times, or with different scales;
6. Applications of joint inversion or imaging in real scenarios of Earth science and engineering.
Geophysical inversion and imaging are effective methods for mapping subsurface structures and physical properties using one or more geophysical measurements including seismic, gravity, geomagnetic, electromagnetic data and others. However, the inversion or imaging using a single kind of geophysical data suffers serious non-uniqueness. To tackle the challenge of the non-uniqueness, joint inversion and imaging have been proposed and rapidly developed by simultaneously using multiple kinds of geophysical measurements or multiple components of one kind of geophysical measurement. Though significant advances have been made in joint inversion and imaging, many practical and fundamental concerns have yet to be answered, such as effective algorithms of joint inversion or imaging, coupling mechanism of different physical parameters, and fusion algorithms of multiscale geophysical measurements, etc.
The goal of this Research Topic is to address theoretical and operational challenges in joint geophysical inversion and imaging when applied to Earth imaging, mineral exploration, geohazards monitoring and environmental problems. The “joint” may refer to using complementary information from different kinds of geophysical measurements (e.g., seismic, gravity, geomagnetic, electromagnetic, ground-penetrating-radar, remote sensing, and well logging), using different components of one or more geophysical measurements (i.e., multi-component seismic, multi-component electromagnetic, multi-component geomagnetic, and multi-component gravity data), or using one kind of geophysical data measured at different locations (e.g., on the land surface, in the sky, in the ocean, on the floor, and in the borehole). This Research Topic aims to present a collection of articles for joint data processing, forward and inverse modeling, regularization, uncertainty analyses, computational issues, interpretations and applications to real data.
We welcome Original Research, Methods, Review, and Perspective articles dealing with all aspects of the joint inversion or imaging of geophysical data. The topics include but are not limited to:
1. Advances in theory and methodology of joint inversion using two or more multi-component or different kinds of geophysical measurements;
2. Joint seismic inversion, velocity model building, or migration imaging with different data, such as multicomponents, body and surface waves, reflected and refracted waves, active and passive source data, etc.;
3. Joint electromagnetic inversion or imaging using different types of electrical and electromagnetic data;
4. Joint inversion using gravity/geomagnetic and its gradient data, or using land, shipborne, airborne, satellite gravity/geomagnetic data;
5. Joint inversion or imaging with fusion of measurements in different spatial positions, at different times, or with different scales;
6. Applications of joint inversion or imaging in real scenarios of Earth science and engineering.
