Daedalus aims to measure the largely unexplored area between Eart's atmosphere and space, the Earth's ignorosphere. Here, intriguing and complex processes govern the deposition and transport of energy. The aim is to quantify this energy by measuring effects caused by electrodynamic processes in this region. The concept is based on a mother satellite that carries a suite of instruments, along with smaller satellites carrying a subset of instruments that are released into the atmosphere.

We report the first-ever in situ measurements of ice flow motion using a remotely controlled drone. We used a quadcopter to land on a highly crevassed area of Eqip Sermia Glacier, Greenland. The drone measured 70 cm of ice displacement over more than 4 h thanks to an accurate onboard GPS. Our study demonstrates that drones have great potential for geoscientists, especially to deploy sensors in hostile environments such as glaciers.

Currently, there exist thousands of unprocessed stereo pairs of satellite imagery which can be used to create models of the surface of Mars. This paper sets out a new open–source and free to use pipeline for creating these models. Our pipeline produces models of comparable quality to the limited number released to date but remains free to use and easily implemented by researchers, who may not necessarily have prior experience of DEM creation.

Continuous data of soil CO₂ efflux can improve model prediction of climate warming, and automated data are becoming increasingly available. However, aggregating chamber-based data to plot scale pose challenges. Therefore, we showed, using 1 year of half-hourly data, how using the lognormal assumption tackles several challenges. We propose that plot-scale SO₂ efflux observations should be reported together with lognormally based uncertainties and enter model constraining frameworks at log scale.

A novel airborne sensing platform is developed for meteorological measurements including variables such as components of wind velocity vector, temperature, pressure, and relative humidity. The system is called the Tethered Air Blimp (TAB). This system is deployed at a complex mining facility in northern Canada to measure dynamics of the atmosphere in various diurnal times, latitudes, longitudes, and altitudes. It measures convective, neutral, and stable boundary layers up to 150 m.

We present the setup of a soil moisture monitoring network, which is implemented at five karstic sites with different climates across the globe. More than 400 soil moisture probes operating at a high spatio-temporal resolution will improve the understanding of groundwater recharge and evapotranspiration processes in karstic areas.

An electromagnetic transmitter sends an electromagnetic wave to the seabed; the receiver located on the seafloor receives the electromagnetic wave which carries the information of the geosphere. In this paper, an algorithm is proposed to improve the current quality of marine electromagnetic transmitters. It has an anomaly detection function for the unstable part of the transmitting current. Our results show that the instability of transmitting-current data can cause obvious anomalies.

We present the development of the RIPLE platform that is designed for the monitoring at high temporal frequency (~ 10 min) of water discharge, solid fluxes (bedload and suspended load) and properties of fine particles (settling velocity) in mesoscale rivers. Many instruments are integrated into this single centralized device, which is autonomous in energy and connected to the 2G/3G network. A user-friendly interface has been developed enabling us to visualize the data collected by the platform.

Soil moisture plays a key role in the hydrological cycle and the climate system. Although soil moisture can be observed by the means of satellites, ground observations are still crucial for evaluating and improving these satellite products. In this study, we investigate the performance of a consumer low-cost soil moisture sensor in the lab and in the field. We demonstrate that this sensor can be used for scientific applications, for example to create a dataset valuable for satellite validation.

Measuring the magnetic field onboard spacecraft requires regular in-flight calibration activities. Among those, determining the output of magnetometers under vanishing ambient magnetic fields, the so-called magnetometer offsets, is essential. Typically, characteristic rotations in solar wind magnetic fields are used to obtain these offsets. This paper addresses the question of how many solar wind data are needed to reach certain accuracy levels in offset determination.

Based on existing ocean bottom E-field (OBE) receiver specifications, including low noise levels, low power consumption, and low time drift errors, we integrated two induction coils for the magnetic sensor and a three-axis omnidirectional geophone for the seismic sensor to assemble an ultra-short baseline (USBL) transponder as the position sensor, which improved position accuracy and operational efficiency while reducing field data acquisition costs.

The K index, characterizing local geomagnetic activity, is generally automatically calculated by algorithms such as KASM, one of the four software programs recommended by INTERMAGNET. KASM requires an appropriate L9 value. We analyze K values for Italian observatories and compare them with historical German observatories to establish the best L9 estimation for our stations. A comparison with results from a previous empirical method shows the consistency and reliability of our outcome.

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.

Medium-frequency radars measure winds (between 55 and 100 km altitude). As part of their final year undergraduate project, the lead author used two radars in Antarctica to look at how the wind speed varied with the aim of identifying when the wind was too fast to be a real measurement. Instead, we discovered that the variance depends strongly on factors in the analysis technique rather than on natural features such as gravity waves, and that the Sun and geomagnetic activity play a role.

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.

This paper developed a drilling trajectory measuring instrumentation (DTMI) based on the interference fiber-optic gyro (FOG), which can work continuously, for 4 h, in an environment where the ambient temperature does not exceed 270 °C and the pressure does not exceed 120 MPa in an ultra-deep borehole. The DTMI has the characteristic of anti-electromagnetic interference; therefore，this DTMI has great potential in the promotion and development of geological drilling technology.

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.

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.

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.

A universal data model is a core to converge big geoanalytical data. We studied geoanalytical instruments, geological samples, and geoanalytical results and give a summarization of comprehensive geoanalytical data. We abstracted the data contents and designed the data model. It can be used for the construction of any geoanalytical data management system, data sharing system, or database by professional or amateur developers. Morever, we highly improved the efficiency of the data model.

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.

This study has been carried out within the scope of a project supported by the Istanbul Technical, Afyon Kocatepe and Hitit universities. The data were obtained from annual GPS campaigns. With this study, the actual velocity field of the region was revealed and the deformations of the region were determined. In particular, the creep, which is a rare phenomenon in tectonics, was studied in order to understand its mechanism and whether it is present in the region or not.

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.

We developed a method to acquire dense point clouds with a low-cost Velodyne Puck lidar system, without using expensive Global Navigation Satellite System (GNSS) positioning or IMU. We mounted the lidar on a motor to continuously change the scan direction, leading to a significant increase in the point cloud density. The system was compared with a more expensive system based on IMU registration and a SLAM algorithm. The alignment between acquisitions with those two systems is within 2 m.

We report the results from the deployment of a newly developed in situ sensor for dissolved gas measurements. Its adaptation to high gas concentrations and dissolved gas pressures was proven. The campaign leads to a first continuous profile of methane on the first 150 m and allowed us to compare the data with previous measurements. The fast response of the instrument makes this technique a good candidate for regular monitoring of those type of lakes, for anticipating disastrous gas eruptions.

Combining short-time forecast models, standardized interfaces to a wide range of environment detectors and a flexible user access interface, CITYZER provides decision-making authorities and private citizens with reliable information about the near-future development of critical environmental parameters like air quality and rain. The system can be easily adapted to different areas or different parameters. Alarms for critical situations can be set and used to support authority decisions.

Geographic coordinates (latitude and longitude) are widely used in geospatial applications, and terrains are often defined by regular grids in geographic coordinates. However, because of convergence of lines of longitude near the poles there is oversampling in the latitude (zonal) direction. Also, there is no standard way of defining a hierarchy of grids to consistently deal with data having different spatial resolutions. The proposed global geographic grid system solves both problems.

In this paper, we present a compilation of the different radiation transport codes for the Martian surface that are currently used by various space agencies and institutions. In addition, as the execution of the tasks necessary to process all of these radiation data requires a high computational processing capacity, we link it to cloud computing, which is found to be an appropriate tool regarding the required resources.