Laser interference absolute gravimeters are high-precision gravimetry instruments. However, The error caused by self-sysetm and enviromental vibration has become the primary obstacle limiting its accuracy and stability. The present work addresses this issue by proposing a global search optimization algorithm that determines the optimal absolute value of gravity. The results evaluated by numerical calculations demonstrate that this algorithm provides a substantial anti-vibration capability.

Analysis of non-uniqueness model in resistivity imaging data is vital in inaugurating the consistency of models. Nevertheless, such analysis is moderately unusual in resistivity imaging data set. Electrical resistivity tomography (ERT) technique is being constantly used in many scientific areas including engineering, environmental and archaeological survey.

We believe that this contribution is theoretically and practically relevant because the proposed technology in this paper have been applied to the corresponding engineering and technology exploration. Our research has certain reference value for oil and gas exploration and natural seismic monitoring, who comprise the majority of your journal’s readers. Further, we believe that the findings match the aims and scope of your journal.

Blue Nile Basin is of vital importance for the whole Nile Basin. The investigation of the impact of climate change on this basin is a must. Blue Nile Basin annual and monthly temperatures were investigated. Spatial and temporal patterns of changes in extreme temperatures are investigated using 10 meteorological stations data for the period 1950–2018. The investigation showed that climate change has a negative impact on the basin in terms of temperature.

Airborne magnetic surveys are an important tool for geophysical studies. Therefore, developing a portable airborne survey system is always of high interest to the geophysical exploration community. For that reason, we are developing a portable UAV-borne magnetic system using a vertical take-off and landing UAV. To understand the platform's magnetic interference, we conducted static and dynamic experiments, which reveals that the magnetic interference is mainly from electric current in cables.

A new multi-component electricial field observation system based on autonomous underwater vehicle (AUV) was introduced for the measurement of seafloor self-potential. The system was tested in a lake and the multi-component self-potential data were collected. The new SP system can be applied to marine SP observations, providing an efficient and low-noise SP acquisition method for marine resources and environmental investigations.

The simple and autonomous ionospheric corrections estimation method in the SPP allows to be independent of external products delivering information of the ionospheric delay. The mathematical model gives improved solutions in reference to the SPP approach with the Klobuchar algorithm and ensures results on a similar level using the IGS TEC map. The numerical experiment was carried out utilizing real GNSS data and Matlab environment.

Systematic error of calibrated fluxgate magnetometer data is studied for a spinning spacecraft. The major error comes from the offset uncertainty when the ambient magnetic field is low, whle the error represents the combination of non-orthogonality, misalignment to spacecraft reference direction, and gain when the ambient field is high. The results are useful in developing future high-precision magnetometers as well as an error estimate in scientific studies using magnetometer data.

We reviewed eight algorithms to estimate missing values of environmental drivers, and separately, three major fluxes in eddy covariance time series. Overall, machine learning algorithms showed superiority over the rest, and among the top three models, feedforward neural networks, eXtreme Gradient Boost, and random forest algorithms, the later showed the most solid performance in different scenarios.