This paper presents a quasi-distributed thrust measurement system based on an optical frequency domain reflectometer (OFDR). This OFDR sensing system achieved a spatial resolution of 20 cm using a 500 m test fiber (the resolution of an OTDR sensing system is generally approximately 1 m), the maximum measurement pressure can reach 1.059 MPa and the maximum relative error is 8.9 %. This system has good engineering application prospects in the safety monitoring field.

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 of a monitoring system used to capture natural electrical potentials in the subsurface to investigate water flow in the non- or partially frozen subsurface. We find that extensive data quality assessment is required for reliable data recording, potentially paving the way for inclusion in risk models.

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.

We developped a method to acquire dense point clouds with a low-cost Velodyne Puck lidar system, without using expensive GNSS positioning or IMU. Our setting consists in mounting the lidar on a motor to continuously change the scan direction, which leads 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 a distance of 2 cm.

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.

Current borehole receivers only measure a single parameter of the magnetic field component, which does not meet the special requirements of controlled source electromagnetic methods.This study proposes a borehole electromagnetic receiver which realizes multi-component synchronous acquisition of adding the vertical electric field component. Results of the experiments show that the design has the performance of low noise and wide band and that high quality CSEM signals were obtained.

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 to auroral research is relatively new, it is critical that such biases are brought to the attention of the academic and citizen science communities.

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

We report the results from the deployment of a newly developed in situ sensor for dissolved gases 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 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.

Middle Frequency radars measure winds (between 55 & 100 km altitude). As part of their final year undergraduate project, the lead author used 2 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 due to natural features such as gravity waves, and that the sun and geomagnetic activity play a role.

GPS Drifters that float down rivers are important tools in studying rivers, but can be expensive. Recently both GPS receivers and GSM modems have become available at lower prices to tinkering scientists due to the rise of the Open Hardware revolution and the Arduino. We provide detailed instructions on how to build a Low Power GPS drifter with local storage and GSM model that we tested in a fieldwork in Myanmar. These instructions allow fellow geoscientists to recreate the device.

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

The CUGB-CS48DAS data acquisition system was designed for seimic purpose at first. However, we tried to integrate the acquisition circuit for electrical purpose and implemented hardware improvmens as well as software updates. Moreover, technology including NB-IoT QC monitoring was also introduced. After a few field tests, the system was proved to be stable and easy to use, and has good application effect in engineering geology, mineral geology and energy geology.

This article describes the development of a mobile roadside survey procedure for obtaining corroboration data for the remote sensing of agricultural land use practices over county level areas where atmospheric conditions are unfavourable for satellite remote sensing, while improving on financial, temporal, and safety costs for in-field verification data acquisition.

This paper gives an outlook of the research aimed at development of an instrument for magnetic field survey. The developed instrument performs accurate measurements of the parameters of the Earth’s magnetic field. Such measurements are required for control of magnetic environment at observational points where the Earth’s magnetic field is continuously measured. The developed instrument is considered as a possible standard solution for assessment of artificial noise at various locations.

Continuous data of soils CO₂ efflux can improve model predictions of climate warming and automated data is becoming increasingly available. However, aggregating chamber-based data to plot scale poses challenges. Therefore, we showed using one 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 was developed for meteorological and land surface temperature measurements. The system is called the Tethered And Navigated Air Blimp (TANAB). This system was deployed at a complex mining facility in northern Canada to measure dynamics of the atmosphere in various diurnal times, latitudes, longitudes, and altitudes. It measured convective, neutral, and stable boundary layers up to 150 m. It also measured land surface temperatures at a resolution of 1 km by 1 km.

Nowadays ocean-bottom observatories, equipped with acceleration and pressure gauges (seismometers and tsunameters), became widespread. We suggest simple and reliable method for remote testing the calibration of the gauges installed at the ocean bottom. The method is extremely convenient for practice, since, besides measured quantities, it involves a sole physical constant – the gravity acceleration.

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

The CUGB-CS48DAS data acquisition system was designed for seismic purpose at first. However, we tried to integrate the acquisition circuit and after several hardware improvements and software updates, it can be used now for seismic exploration as well as electrical prospecting. It has good application effects in engineering geology, mineral geology and energy geology, and is suitable for exploration tasks in coalfields, petroleum, minerals, earthquake monitoring and urban construction, etc.

Observations of the stable isotopes of water vapor by high-resolution ground-based Fourier transform infrared spectroscopy (FTIR) provide information on study of the variation of the atmospheric water vapor at Hefei site. In this paper, the percentage of atmospheric H₂O(X_H2O) and HDO (X_HDO) have been retrieved based on a high-resolution ground-based FTIR at Hefei site, and also calculated the stable isotopes of water composition δD. The time series of X_H2O were compared with the Greenhouse gase.

Terrestrial photogrammetry is the approach by which measurements are derived from images. It is a rapidly growing method in glaciology, providing detailed records of glacier change. However, glacial photogrammetry toolboxes are limited currently. PyTrx (freely available online) has been developed here as a Python-alternative toolbox with wider capabilities for deriving velocities, areas, and line measurements. Examples are presented throughout using time-lapse imagery from glaciers in Svalbard.

Meteorological observational data obtained in highly complex terrain has to be treated differently than it is usually done within state of the art quality control procedures. The main motivation and goal is to preserve as much information as possible in order to enhance the accuracy of analysis and forecast model output. It is recommended to use the method in highly complex terrain. Sufficient data density and coherent structures within data is required.

- This study aimed to calibrate some of the existing models in the literature for estimating daily total global solar radiation parameter using available measuring records (maximum and minimum air temperatures) and three new models are developed based on maximum and minimum air temperatures and relative humidity.
- In this study, three new models that are based on the relative humidity and the difference between maximum and minimum air temperatures were suggested.

A new investigation technique for magnetic data by a 2D dipping dike has been presented. The main interpretive parameters are: the depth to the top, exact origin, and the width of dipping dike. The comparison of the results with drilling information reported in the literature demonstrated the prevalence of the suggested method and its potential for solving magnetic problem, for example in china field example the depth to the top of dike is 22.24 m and from drilling information range from 22–25.

Radar Signal processing is one of the area where there is a lot of scope for research. This area demands efficient algorithms for study of echoes derived from various atmospheric regions. Denoising techniques were used and spectral moments were calculated. Stacked doppler profile was plotted to observe the improvement in doppler detection. It has been observed that there is a considerable improvement in recognition of the doppler echoes.

An automatic process for the estimation of forest properties in high spatial resolution using National Land Survey's airborne laser scanning data is presented. Results were evaluated by compering against national MS-NFI forest data. The estimation accuracy was generally good, but deciduous forests in leaf-off conditions caused somewhat underestimation. The method can be used to support e.g. forest managing, construction planning, wood industry and other remote sensing applications and research.