In this paper, a low-cost, computer-aided, and geophone-based system designed to record, monitor, and analyze three-component microtremor data is presented. This system has several features such as a 200 Hz sampling frequency, text data format, and data analysis tools. The developed software undertakes many tasks such as communication between the external hardware and computer, transferring, monitoring, and recording the seismic data to a computer, and interpretation of the recorded data.

Bidirectional muographic measurements were taken at an ancient burial mound built in the beginning of the 6th century which later collapsed after a landslide caused by the 1596 Fushimi earthquake, one of the largest earthquakes over the last few centuries in Japan. The result indicated large-scale vertical cracks at the top of the mound which caused its collapse, and thus an intrinsic problem was suggested about the stability of the basic foundation of the mound before this earthquake.

This paper describes GRUAN's strategy for a network-wide change of the operational radiosonde from Vaisala RS92 to RS41. GRUAN's main goal is to provide long-term data records that are free of inhomogeneities due to instrumental effects, which requires proper change management. The approach is to fully characterize differences between the two radiosonde types using laboratory tests, twin soundings, and ancillary data, as well as by drawing from the various fields of expertise available in GRUAN.

In times of global warming, permafrost is starting to degrade at alarming rates, requiring new and improved characterization approaches. We describe the design and test installation, as well as detailed data quality assessment, of a monitoring system used to capture natural electrical potentials in the subsurface. These self-potential signals are of great interest for the noninvasive investigation of water flow in the non-frozen or partially frozen subsurface.

Heat pulse probes are widely used to monitor soil thermal and physical properties for agricultural and hydrological monitoring related to crop productivity, drought, snowmelt, and evapotranspiration. Changes in the effective probe spacing distance can cause measurement inaccuracy. This paper uses a novel heat pulse probe and theory to compensate for changes in effective distance, thereby enabling more accurate sensor outputs useful for forecasts and predictions of drought and flooding.

Researchers are making increasing use of machine learning to improve accuracy, efficiency and consistency. During such a study of the aurora, it was noted that biases or distortions had crept into the data because of the conditions (or ergonomics) of the human trainers. As using machine-learning techniques in auroral research is relatively new, it is critical that such biases are brought to the attention of the academic and citizen science communities.

The CUGB-CS48DAS data acquisition system was primarily designed for seismic purposes. However, we tried to integrate the acquisition circuit for electrical purposes and implemented hardware improvements as well as software updates. Moreover, technology including narrow-band internet of things QC monitoring was also introduced. After a few field tests, the system was proven to be stable and easy to use and has a good application effect in engineering geology, mineral geology, and energy geology.