Intro
Preface
Contents
Exploration and Environmental Geophysics
Segmentation of the Earth's Crust of the Tien Shan by Geophysical Data
1 Introduction
2 Results
3 Conclusions
References
Experiment FENICS-2019: Exploration of Electrical Conductivity of the Eastern Fennoscandinavian Shield with Grounded Sections of Power Transmission Lines (In Memory of Abdulkhay Azimovich Zhamaletdinov)
1 Introduction
2 Layout and Main Goals of Experiment FENICS-2019
3 The Array for Measurements
4 Results and Interpretation
4.1 Data Treatment
References

Specifics of the Earth's Crust Structure in the Potential Gas Hydrate Accumulation Zones of the Arctic Basin
1 Introduction
2 The Specifics of the Lithosphere Structure of Potential Gas Hydrate Zones in the Arctic Basin
3 Conclusions
References
Deep Factors of Ice Destruction of the Arctic Ocean
1 Introduction
2 The Deep Factor of the Arctic Ice Cover Destruction
3 Conclusions
References
Verification of the Arctic Magnetic Field Component Model Based on Observations on the CHAMP and Swarm Satellites
1 Introduction

2 Verification of the Component Model Based on the Data of the CHAMP and Swarm Spacecraft Measurements
3 Deep Structure of Magnetoactive Zones of the Arctic
4 The Deep Structure of the Central Magnetic Zone of the Arctic Ocean
5 The Deep Structure of the Lena Lithospheric Root
6 Visualization of Thermofluid Channels and Lenses of the Fluid System
7 Conclusions
References
Interpretation of Component Geomagnetic Field Measurements Carried Out on Board a Ferromagnetic Vessel from the Round-the-World Expedition of the R/V "Admiral Vladimirsky" in 2019-2020
1 Introduction

2 Magnetometric Laboratory and Verification of the Agreement of Measurements with the Data of the Schooner "Zarya"
2.1 Gulf of Finland
2.2 Bay of Biscay
3 Onboard Magnetic Measurements and Hodograph Application for Horizontal Component Estimates
4 Determination of SMP by the Value of the Horizontal Component
5 Conclusions
References
Integration of Geophysical Methods for Solving Inverse Problems of Exploration Geophysics Using Artificial Neural Networks
1 Introduction
2 Physical Statement of the Problem
2.1 Parameterization Scheme
2.2 Data

3 Methodical Statement of the Problem
3.1 Datasets
3.2 Reducing the Input Dimension
3.3 Reducing the Output Dimension
3.4 Multitask Learning
3.5 Use of Neural Networks
4 Results
4.1 Autonomous Determination
4.2 Multitask Learning
5 Conclusions
References
A Versatile Software for Statistical Data Analysis and Spatial Correlation
1 Introduction
2 Architecture
3 Operating the Service
3.1 Uploading and Preparing Data
3.2 Coordinate System Conversion
3.3 Visualization
3.4 Brief Statistical Overview
3.5 Interpolation Methods