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Journal articles on the topic 'Geosciences software'

Author: Grafiati

Published: 9 September 2021

Last updated: 29 July 2025

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1

Alte-da-Veiga, Nuno M. S., Luis Fernando Sánchez-Sastre, Jesús Martín-Gil, Salvador Hernández-Navarro, and Pablo Martín-Ramos. "Using EM Induction and ERI Geophysical Methods in Undergraduate Teaching: A Case-Centered, Discussion-Based Approach." Geosciences 12, no. 12 (2022): 444. http://dx.doi.org/10.3390/geosciences12120444.

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In the last decades, the application fields of exploration geophysics have considerably broadened, reinforcing the relevance of exploration geophysics courses both within geosciences and non-geosciences degrees. Among these courses, those with a hands-on, place-based pedagogical approach and aligned with problem-based and case-based learning methodologies have proven to be particularly successful in regard to addressing the recognized difficulty that students experience in transferring their classroom knowledge to the field environment. In this article, we report a theoretical–practical module

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Dashti, Mahdi, and Zoltán Virág. "Analysis of the earthquake impact on urban tunnels using modelling in Phase 2 software." Geosciences and Engineering 12, no. 1 (2024): 119–24. https://doi.org/10.33030/geosciences.2024.01.008.

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This article presents a comprehensive survey of the seismic impact experienced by urban tunnels, with a specific focus on the Line 7 of the Tehran Metro. Employing finite element software during Phase 2 of modeling, the study investigates the potential effects of seismic activity on tunnel stability. The research involves a meticulous examination of concurrent factors, primarily alterations in earthquake acceleration values and adjustments to the depth of the tunnel. The findings reveal that effective maintenance practices within the underground Metro Stations play a crucial role in minimizing

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Bawahab, Mohammed, and Dmour Hazim. "Performance Analysis of a Water-Drive Oil Reservoir: An Oilfield Case Study." Geosciences and Engineering 11, no. 1 (2023): 117–32. http://dx.doi.org/10.33030/geosciences.2023.01.010.

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One of the primary responsibilities of a reservoir engineer is to evaluate the performance of hydrocarbon reservoirs to estimate the original hydrocarbons in place, reserves, ultimate oil/gas recovery factor. This responsibility becomes complicated in the case of water-drive reservoirs due to the high uncertainty associated with aquifer properties, including rock properties and aquifer geometry. This paper presents a new method to find the optimum aquifer model based on the root mean square error (RMSE) values by using MBAL software. The study investigated the transmissibility between the X, Y

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Kageyama, Akira, Hitoshi Uehara, and Shintaro Kawahara. "Development of VR Visualization Software VFIVE and its Application to Geosciences." Journal of the Visualization Society of Japan 24, Supplement1 (2004): 319–20. http://dx.doi.org/10.3154/jvs.24.supplement1_319.

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Gómez, Franklin, and Marianna Vadászi. "Exploring uncertainty in flow unit identification and permeability prediction." Geosciences and Engineering 12, no. 1 (2024): 75–87. https://doi.org/10.33030/geosciences.2024.01.005.

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The study proposes a comparative uncertainty analysis of the main methods for permeability prediction or estimation, including the Cluster analysis (K-means), the Kozeny-Carman (KyC) equation for flow unit identification, and the K-nearest neighbor Density Estimate (KNN) algorithm, Kozeny-Carman equation, and One Flow Unit (OFU) for permeability prediction or estimation. The proposed analysis is applied to 13 wells in the Sacha field located in the Amazon region of Ecuador, targeting the Hollin and Napo formations, which mainly consist of sandstone, limestone, and shale. The selected wells hav

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Yanagi, H., and H. Chikatsu. "PERFORMANCE EVALUATION OF 3D MODELING SOFTWARE FOR UAV PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 147–52. http://dx.doi.org/10.5194/isprs-archives-xli-b5-147-2016.

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UAV (Unmanned Aerial Vehicle) photogrammetry, which combines UAV and freely available internet-based 3D modeling software, is widely used as a low-cost and user-friendly photogrammetry technique in the fields such as remote sensing and geosciences. In UAV photogrammetry, only the platform used in conventional aerial photogrammetry is changed. Consequently, 3D modeling software contributes significantly to its expansion. However, the algorithms of the 3D modelling software are black box algorithms. As a result, only a few studies have been able to evaluate their accuracy using 3D coordinate che

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Yanagi, H., and H. Chikatsu. "PERFORMANCE EVALUATION OF 3D MODELING SOFTWARE FOR UAV PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 147–52. http://dx.doi.org/10.5194/isprsarchives-xli-b5-147-2016.

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UAV (Unmanned Aerial Vehicle) photogrammetry, which combines UAV and freely available internet-based 3D modeling software, is widely used as a low-cost and user-friendly photogrammetry technique in the fields such as remote sensing and geosciences. In UAV photogrammetry, only the platform used in conventional aerial photogrammetry is changed. Consequently, 3D modeling software contributes significantly to its expansion. However, the algorithms of the 3D modelling software are black box algorithms. As a result, only a few studies have been able to evaluate their accuracy using 3D coordinate che

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Cognigni, Flavio, Lucia Miraglia, Silvia Contessi, Francesco Biancardi, and Marco Rossi. "Correlative Light and Electron Microscopy (CLEM): A Multifaceted Tool for the Study of Geological Specimens." Journal of Experimental and Theoretical Analyses 1, no. 2 (2023): 74–85. http://dx.doi.org/10.3390/jeta1020006.

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Correlative light and electron microscopy (CLEM) is an advanced imaging approach that faces critical challenges in the analysis of both materials and biological specimens. CLEM integrates the strengths of both light and electron microscopy, in a hardware and software correlative environment, to produce a composite image that combines the high resolution of the electron microscope with the large field of view of the light microscope. It enables a more comprehensive understanding of a sample’s microstructure, texture, morphology, and elemental distribution, thereby facilitating the interpretatio

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Mulder, Kelsey J., Louis Williams, Matthew Lickiss, et al. "Understanding representations of uncertainty, an eye-tracking study – Part 1: The effect of anchoring." Geoscience Communication 6, no. 3 (2023): 97–110. http://dx.doi.org/10.5194/gc-6-97-2023.

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Abstract. Geoscience communicators must think carefully about how uncertainty is represented and how users may interpret these representations. Doing so will help communicate risk more effectively, which can elicit appropriate responses. Communication of uncertainty is not just a geosciences problem; recently, communication of uncertainty has come to the forefront over the course of the COVID-19 pandemic, but the lessons learned from communication during the pandemic can be adopted across geosciences as well. To test interpretations of environmental forecasts with uncertainty, a decision task

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Semeler, Alexandre Ribas, Luana Farias Sales, Adilson Luiz Pinto, Roberta Pereira da Silva de Paula, Valquer Cleyton Paes Gandra, and Heloisa Costa. "Defining geosciences research data through metadata reuse:." Biblios Journal of Librarianship and Information Science, no. 87 (February 7, 2025): e009. https://doi.org/10.5195/biblios.2024.1233.

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Objective. Research data refers to factual records used as primary scientific research resources. Reusing research data metadata provides a new perspective, allowing the presentation of new tests, hypotheses, and new research developments. This study aims to identify the nature of the types of Geosciences research data based on the reuse of metadata from the PANGEA Data Publisher for Earth and Environmental Science available at (https://www.pangaea.de/). The research question to be analyzed is “Can the processes of analyzing and manipulating PANGEA research data metadata be used to define a co

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Kelley, Aidan, and Daniel Garijo. "A framework for creating knowledge graphs of scientific software metadata." Quantitative Science Studies 2, no. 4 (2021): 1423–46. http://dx.doi.org/10.1162/qss_a_00167.

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Abstract An increasing number of researchers rely on computational methods to generate or manipulate the results described in their scientific publications. Software created to this end—scientific software—is key to understanding, reproducing, and reusing existing work in many disciplines, ranging from Geosciences to Astronomy or Artificial Intelligence. However, scientific software is usually challenging to find, set up, and compare to similar software due to its disconnected documentation (dispersed in manuals, readme files, websites, and code comments) and the lack of structured metadata to

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Gvishiani, A. D., V. Ya Panchenko, and I. M. Nikitina. "System analysis of big data for Earth sciences." Вестник Российской академии наук 93, no. 6 (2023): 518–25. http://dx.doi.org/10.31857/s0869587323060087.

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Currently, big data is one of the most discussed phenomena in the field of information technology. What is big data? How are they created? How does big data software work? How is big data theory and practice used and can be used in relation to geosciences? How is the issue of big data developing within the Russian Academy of Sciences? These are the questions discussed in an article prepared on the basis of a scientific report presented at a meeting of the Presidium of the Russian Academy of Sciences on March 28, 2023.

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Peszynska, M., and M. F. Wheeler. "Special Issue: High-Performance Computing in Geosciences." Concurrency and Computation: Practice and Experience 17, no. 11 (2005): 1363–64. http://dx.doi.org/10.1002/cpe.896.

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Feltrin, Leonardo. "KNIME an Open Source Solution for Predictive Analytics in the Geosciences [Software and Data Sets]." IEEE Geoscience and Remote Sensing Magazine 3, no. 4 (2015): 28–38. http://dx.doi.org/10.1109/mgrs.2015.2496160.

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Beriozko, Alexander, Alexei Lebedev, Anatoly Soloviev, Roman Krasnoperov, and Alena Rybkina. "Intellectual Geoinformation System for Earth Sciences." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 5, 2015): 48. http://dx.doi.org/10.17770/etr2011vol2.966.

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A new technology was elaborated, combining a geoinformation system (GIS) and GIS- oriented algorithmic methods of artificial intellect (AI). Numerous thematic layers for geosciences, obtained from Russian and international scientific sources, were imported into the GIS. Technology and software for integration of AI methods within the GIS in the form of the Centralized Catalogue of Geodata Processing Algorithms (CCGPA) was developed. A GIS visualization subsystem was created to provide interaction between the GIS and its users. It performs geodata layers visualization, map operations, geodata s

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Kumar, K., A. Labetski, G. Agugiaro, and J. Stoter. "A SURVEY ON THE ADOPTION OF GIS DATA AND STANDARDS IN URBAN APPLICATION DOMAINS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W15 (September 23, 2019): 41–46. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w15-41-2019.

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<p><strong>Abstract.</strong> GIS has become an important part of many disciplines and supports a vast range of applications. It is used everywhere, from agriculture to public health care. Furthermore, with the advances in technologies, the availability of GIS data and software support has grown exponentially. In this paper, we present the results of our international survey to investigate the adoption of geospatial data, standards, and software by the practitioners in different application domains. The results demonstrate a clear trend towards the increased use of GIS in a n

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Noack, Silke, Andreas Barth, Alexey Irkhin, Evelyn Bennewitz, and Frank Schmidt. "Spatial Modeling of Natural Phenomena and Events with Artificial Neural Networks and GIS." International Journal of Applied Geospatial Research 3, no. 1 (2012): 1–20. http://dx.doi.org/10.4018/jagr.2012010101.

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Artificial neural networks (ANN) are used for statistical modeling of spatial events in geosciences. The advantage of this method is the ability of neural networks to represent complex interrelations and to be “able to learn” from known (spatial) events. The software advangeo® was developed to enable GIS users to apply neural network methods on raster geodata. This statistic modeling can be displayed in a user-friendly way within the ESRI ArcGIS environment. The complete workflow is documented by the software. This paper presents three pilot studies conducted to illustrate the possibilities of

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Guibert, Romain, Marfa Nazarova, Marco Voltolini, Thibaud Beretta, Gerald Debenest, and Patrice Creux. "Influence of Standard Image Processing of 3D X-ray Microscopy on Morphology, Topology and Effective Properties." Energies 15, no. 20 (2022): 7796. http://dx.doi.org/10.3390/en15207796.

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Estimating porous media properties is a vital component of geosciences and the physics of porous media. Until now, imaging techniques have focused on methodologies to match image-derived flows or geomechanical parameters with experimentally identified values. Less emphasis has been placed on the compromise between image processing techniques and the consequences on topological and morphological characteristics and on computed properties such as permeability. The effects of some of the most popular image processing techniques (filtering and segmentation) available in open source on 3D X-ray Mic

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Semeler, Alexandre Ribas, and Margot Guerra-Sommer. "Dados de pesquisa em paleobotânica: conjunto de dados petrográficos de lâminas delgadas de lenhos fósseis." Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação 29 (March 4, 2024): 01–12. http://dx.doi.org/10.5007/1518-2924.2024.e95688.

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Objective: This study was aimed at analyzing and disseminating the fossil wood collection data stored in the thin slide sections of the paleobotany collection of the Department of Paleontology and Stratigraphy of the Institute of Geosciences of a university in Southern Brazil. Thin sheets of petrified wood are described. Research data used in geosciences specifically seek to develop a model for the use of this type of sheet in paleobotany, enabling visualization of its representativeness in studies published over 40 years to obtain the anatomical characteristics of fossil woods and define thei

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Eltner, A., A. Kaiser, C. Castillo, G. Rock, F. Neugirg, and A. Abellan. "Image-based surface reconstruction in geomorphometry – merits, limits and developments of a promising tool for geoscientists." Earth Surface Dynamics Discussions 3, no. 4 (2015): 1445–508. http://dx.doi.org/10.5194/esurfd-3-1445-2015.

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Abstract. Photogrammetry and geosciences are closely linked since the late 19th century. Today, a wide range of commercial and open-source software enable non-experts users to obtain high-quality 3-D datasets of the environment, which was formerly reserved to remote sensing experts, geodesists or owners of cost-intensive metric airborne imaging systems. Complex tridimensional geomorphological features can be easily reconstructed from images captured with consumer grade cameras. Furthermore, rapid developments in UAV technology allow for high quality aerial surveying and orthophotography genera

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Yang, Chaowei, Yan Xu, and Douglas Nebert. "Redefining the possibility of digital Earth and geosciences with spatial cloud computing." International Journal of Digital Earth 6, no. 4 (2013): 297–312. http://dx.doi.org/10.1080/17538947.2013.769783.

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Mattia, Santoro, Mazzetti Paolo, and Nativi Stefano. "Virtual earth cloud: a multi-cloud framework for enabling geosciences digital ecosystems." International Journal of Digital Earth 16, no. 1 (2023): 43–65. http://dx.doi.org/10.1080/17538947.2022.2162986.

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Paiva, Antonio, Weichang Li, Chris A. Mattmann, Youzuo Lin, and Maarten V. De Hoop. "Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences." IEEE Transactions on Neural Networks and Learning Systems 34, no. 7 (2023): 3242–44. http://dx.doi.org/10.1109/tnnls.2023.3282150.

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Hassoun, M. H. "Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks [Books]." IEEE Transactions on Neural Networks 7, no. 4 (1996): 1053. http://dx.doi.org/10.1109/tnn.1996.508952.

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Eltner, Anette, Andreas Kaiser, Carlos Castillo, Gilles Rock, Fabian Neugirg, and Antonio Abellán. "Image-based surface reconstruction in geomorphometry – merits, limits and developments." Earth Surface Dynamics 4, no. 2 (2016): 359–89. http://dx.doi.org/10.5194/esurf-4-359-2016.

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Abstract. Photogrammetry and geosciences have been closely linked since the late 19th century due to the acquisition of high-quality 3-D data sets of the environment, but it has so far been restricted to a limited range of remote sensing specialists because of the considerable cost of metric systems for the acquisition and treatment of airborne imagery. Today, a wide range of commercial and open-source software tools enable the generation of 3-D and 4-D models of complex geomorphological features by geoscientists and other non-experts users. In addition, very recent rapid developments in unman

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Lasser, Martin, Ulrich Meyer, Adrian Jäggi, et al. "Benchmark data for verifying background model implementations in orbit and gravity field determination software." Advances in Geosciences 55 (December 17, 2020): 1–11. http://dx.doi.org/10.5194/adgeo-55-1-2020.

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Abstract. In the framework of the COmbination Service for Time-variable Gravity fields (COST-G) gravity field solutions from different analysis centres are combined to provide a consolidated solution of improved quality and robustness to the user. As in many other satellite-related sciences, the correct application of background models plays a crucial role in gravity field determination. Therefore, we publish a set of data of various commonly used forces in orbit and gravity field modelling (Earth's gravity field, tides etc.) evaluated along a one day orbit arc of GRACE, together with auxiliar

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Groos, Alexander R., Thalia J. Bertschinger, Céline M. Kummer, Sabrina Erlwein, Lukas Munz, and Andreas Philipp. "The Potential of Low-Cost UAVs and Open-Source Photogrammetry Software for High-Resolution Monitoring of Alpine Glaciers: A Case Study from the Kanderfirn (Swiss Alps)." Geosciences 9, no. 8 (2019): 356. http://dx.doi.org/10.3390/geosciences9080356.

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Unmanned Aerial Vehicles (UAV) are a rapidly evolving tool in geosciences and are increasingly deployed for studying the dynamic processes of the earth’s surface. To assess the potential of autonomous low-cost UAVs for the mapping and monitoring of alpine glaciers, we conducted multiple aerial surveys on the Kanderfirn in the Swiss Alps in 2017 and 2018 using open hardware and software of the Paparazzi UAV project. The open-source photogrammetry software OpenDroneMap was tested for the generation of high-resolution orthophotos and digital surface models (DSMs) from aerial imagery and cross-che

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Charalampopoulos, Ioannis. "The R Language as a Tool for Biometeorological Research." Atmosphere 11, no. 7 (2020): 682. http://dx.doi.org/10.3390/atmos11070682.

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R is an open-source programming language which gained a central place in the geosciences over the last two decades as the primary tool for research. Now, biometeorological research is driven by the diverse datasets related to the atmosphere and other biological agents (e.g., plants, animals and human beings) and the wide variety of software to handle and analyse them. The demand of the scientific community for the automation of analysis processes, data cleaning, results sharing, reproducibility and the capacity to handle big data brings a scripting language such as R in the foreground of the a

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Huang, Qunying, Jing Li, and Zhenlong Li. "A geospatial hybrid cloud platform based on multi-sourced computing and model resources for geosciences." International Journal of Digital Earth 11, no. 12 (2017): 1184–204. http://dx.doi.org/10.1080/17538947.2017.1385652.

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McKay, Nicholas P., Julien Emile-Geay, and Deborah Khider. "geoChronR – an R package to model, analyze, and visualize age-uncertain data." Geochronology 3, no. 1 (2021): 149–69. http://dx.doi.org/10.5194/gchron-3-149-2021.

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Abstract. Chronological uncertainty is a hallmark of the paleoenvironmental sciences and geosciences. While many tools have been made available to researchers to quantify age uncertainties suitable for various settings and assumptions, disparate tools and output formats often discourage integrative approaches. In addition, associated tasks like propagating age-model uncertainties to subsequent analyses, and visualizing the results, have received comparatively little attention in the literature and available software. Here, we describe geoChronR, an open-source R package to facilitate these tas

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Schuh, H., R. Heinkelmann, G. Beyerle, et al. "The Potsdam Open Source Radio Interferometry Tool (PORT)." Publications of the Astronomical Society of the Pacific 133, no. 1028 (2021): 104503. http://dx.doi.org/10.1088/1538-3873/ac299c.

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Abstract The Potsdam Open Source Radio Interferometry Tool (PORT) is the very long baseline interferometry (VLBI) analysis software developed and maintained at the GFZ German Research Centre for Geosciences. Chiefly, PORT is tasked with the timely processing of VLBI sessions and post-processing activities supporting the generation of celestial and terrestrial reference frames. In addition, it serves as a framework for research and development within the GFZ’s VLBI working group and is part of the tool set employed in educating young researchers. Starting out from VLBI group delays, PORT estima

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R.Vimala Devi, M., and S. Kalaivani. "Band Selection Using SIFT in Hyperspectral Images." International Journal of Engineering & Technology 7, no. 4.10 (2018): 28. http://dx.doi.org/10.14419/ijet.v7i4.10.20698.

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In this paper an approach for dimension reduction of the hyperspectral image using scale invariant feature transform (SIFT) is introduced. Due to high dimensionality of hyperspectral cubes, it is a very difficult task to select few informative bands from original hyperspectral remote sensing images. Band with maximum amount of non-redundant information are chosen using the dissimilarity matrix obtained from scale invariant feature transformed image. The performance of the dimension reduction technique is analyzed by implementing a post-processing technique named spectral un-mixing. Spectral un

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Karpik, Alexander, Dmitry Lisitsky, Aleksey Osipov, and Vyacheslav Savinykh. "Geo-cognitive methods of providing analysis and forecasting of socio-economic development of territories." InterCarto. InterGIS 27, no. 2 (2021): 128–40. http://dx.doi.org/10.35595/2414-9179-2021-2-27-128-140.

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The issues of using geospatial data, information and knowledge in the processes of analysis and forecasting of socio-economic development of territories are considered. It is proposed to expand the composition of a single complex of means for macroeconomic interregional intersectoral planning due to a more complete consideration of the geospatial features of the studied territory and the transition to a new model of spatial and economic policy based on the widespread use of digital geoplatforms. The article provides information on the importance of geospatial support for planning and managemen

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Pignatelli, A., A. Giuntini, and R. Console. "Corrigendum to “Matlab software for the analysis of seismic waves recorded by three-element arrays” [Computers & Geosciences 34 (2008) 792–801]." Computers & Geosciences 35, no. 7 (2009): 1557. http://dx.doi.org/10.1016/j.cageo.2009.02.002.

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Nicu, Ionut, Alin Mihu-Pintilie, and James Williamson. "GIS-Based and Statistical Approaches in Archaeological Predictive Modelling (NE Romania)." Sustainability 11, no. 21 (2019): 5969. http://dx.doi.org/10.3390/su11215969.

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Archaeological predictive modelling (APM) is an important method for archaeological research and cultural heritage management. This study tests the viability of a new statistical method for APM. Frequency ratio (FR) is widely used in the field of geosciences but has not been applied in APM. This study tests FR in a catchment from the north-eastern part of Romania to predict the possible location(s) of Eneolithic sites. In order to do that, three factors were used: soils, heat load index and slope position classification. Eighty percent of the sites were used to build the model, while the remai

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Marras, Simone, and Kyle T. Mandli. "Modeling and Simulation of Tsunami Impact: A Short Review of Recent Advances and Future Challenges." Geosciences 11, no. 1 (2020): 5. http://dx.doi.org/10.3390/geosciences11010005.

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Tsunami modeling and simulation has changed in the past few years more than it has in decades, especially with respect to coastal inundation. Among other things, this change is supported by the approaching era of exa-scale computing, whether via GPU or more likely forms of hybrid computing whose presence is growing across the geosciences. For reasons identified in this review, exa-scale computing efforts will impact the on-shore, highly turbulent régime to a higher degree than the 2D shallow water equations used to model tsunami propagation in the open ocean. This short review describes the di

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Prokofeva, E. N., A. V. Vostrikov, H. A. Nekrasov, N. E. Bragin, and M. O. Malcev. "IT Tools for Managing Ecological Hazards." IOP Conference Series: Earth and Environmental Science 988, no. 2 (2022): 022017. http://dx.doi.org/10.1088/1755-1315/988/2/022017.

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Abstract The development of modern IT tools is a key vector of development in the management of natural hazards and geosciences. Thanks to the creation and implementation of geographic information systems (GIS) and technologies, monitoring of the area is greatly facilitated and the accounting of natural resources becomes streamlined. Geoinformation systems allow to take into account the social and environmental situation, accurately determining the qualitative and quantitative characteristics, structure, and location of objects. This allows the authorities at different levels to develop social

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McLane, Jonathan C., W. Walter Czech, David A. Yuen, et al. "Ubiquitous interactive visualization of large-scale simulations in geosciences over a Java-based web-portal." Concurrency and Computation: Practice and Experience 22, no. 12 (2009): 1750–73. http://dx.doi.org/10.1002/cpe.1532.

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Oppermann, Frank, and Thomas Günther. "A remote-control datalogger for large-scale resistivity surveys and robust processing of its signals using a software lock-in approach." Geoscientific Instrumentation, Methods and Data Systems 7, no. 1 (2018): 55–66. http://dx.doi.org/10.5194/gi-7-55-2018.

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Abstract. We present a new versatile datalogger that can be used for a wide range of possible applications in geosciences. It is adjustable in signal strength and sampling frequency, battery saving and can remotely be controlled over a Global System for Mobile Communication (GSM) connection so that it saves running costs, particularly in monitoring experiments. The internet connection allows for checking functionality, controlling schedules and optimizing pre-amplification. We mainly use it for large-scale electrical resistivity tomography (ERT), where it independently registers voltage time s

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Fawcett, D., J. Blanco-Sacristán, and P. Benaud. "Two decades of digital photogrammetry: Revisiting Chandler’s 1999 paper on “Effective application of automated digital photogrammetry for geomorphological research” – a synthesis." Progress in Physical Geography: Earth and Environment 43, no. 2 (2019): 299–312. http://dx.doi.org/10.1177/0309133319832863.

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Digital photogrammetry has experienced rapid development regarding the technology involved and its ease of use over the past two decades. We revisit the work of Jim Chandler who in 1999 published a technical communication seeking to familiarise novice users of photogrammetric methods with important theoretical concepts and practical considerations. In doing so, we assess considerations such as camera calibration and the need for photo-control and check points, as they apply to modern software and workflows, in particular for structure-from-motion (SfM) photogrammetry. We also highlight the imp

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Noack, S., A. Knobloch, S. H. Etzold, A. Barth, and E. Kallmeier. "Spatial predictive mapping using artificial neural networks." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2 (November 11, 2014): 79–86. http://dx.doi.org/10.5194/isprsarchives-xl-2-79-2014.

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The modelling or prediction of complex geospatial phenomena (like formation of geo-hazards) is one of the most important tasks for geoscientists. But in practice it faces various difficulties, caused mainly by the complexity of relationships between the phenomena itself and the controlling parameters, as well by limitations of our knowledge about the nature of physical/ mathematical relationships and by restrictions regarding accuracy and availability of data. <br><br> In this situation methods of artificial intelligence, like artificial neural networks (ANN) offer a meaningful alt

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Tran, V. A., X. Q. Truong, D. A. Nguyen, L. Longoni, and V. Yordanov. "LANDSLIDES MONITORING WITH TIME SERIES OF SENTINEL-1 IMAGERY IN YEN BAI PROVINCE-VIETNAM." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (August 19, 2021): 197–203. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-197-2021.

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Abstract. This paper presents an application of PS-InSAR method for determining landslide displacement velocity in Van Yen district, Yen Bai province, Vietnam. The used tools for processing data is a combination of two free software, SNAP 7.0 and STaMPS 4.1. With 27 Sentinel-1A images in descending direction acquired from 11th January 2019 to 1st March 2021, the landslide displacement values were calculated and exported. There were locations in which landslides correctly appeared, such as Lang Thip, Xuan Tam, Chau Que Ha, Phong Du Thuong communes and along provincial road 151. Landslide rate i

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Florinsky, Igor. "Geomorphometric modeling and mapping of the Larsemann Hills Antarctic Oasis." InterCarto. InterGIS 29, no. 1 (2023): 482–510. http://dx.doi.org/10.35595/2414-9179-2023-1-29-482-510.

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Geomorphometric modeling is widely used in geosciences. However, geomorphometric modeling and mapping of Antarctic oases has not been performed so far. This article presents the first results of geomorphometric modeling and mapping of the Larsemann Hills oasis obtained in the 68th Russian Antarctic Expedition in January–April 2023. As input data, we used a fragment of the Reference Elevation Model of Antarctica (REMA). From the extracted and edited digital elevation model, we derived models and maps of the following 17 morphometric variables: slope, aspect, horizontal curvature, vertical curva

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Gallagher, Mike. "Geoscience Software Reviews." Journal of Geoscience Education 48, no. 4 (2000): 555–56. http://dx.doi.org/10.5408/1089-9995-48.4.555.

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Gallagher, Mike. "Geoscience Software Reviews." Journal of Geoscience Education 48, no. 5 (2000): 720–21. http://dx.doi.org/10.5408/1089-9995-48.5.720.

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Griffiths, David, and Helene Burningham. "Comparison of pre- and self-calibrated camera calibration models for UAS-derived nadir imagery for a SfM application." Progress in Physical Geography: Earth and Environment 43, no. 2 (2018): 215–35. http://dx.doi.org/10.1177/0309133318788964.

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Structure from Motion (SfM) is a tool being increasingly utilised in geosciences for high-resolution three-dimensional mapping of landscapes. However, a number of authors have demonstrated that broad-scale systematic deformations, in the form of ‘doming’ and ‘bowling’, can occur when applied to linear (low-amplitude, feature-limited) topographies. In such contexts, a more rigorous lens calibration and ground control point acquisition process is required, which means that application of SfM to environments such as tidal flats or desert plains can be challenging. Uncertainties in elevation model

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ΜΑΝΟΥΤΣΟΓΛΟΥ, Ε., Ε. ΣΠΥΡΙΔΩΝΟΣ, Α. SOUJON, and V. JACOBSHAGEN. "Revision of the geological map and 3D modelling of the geological structure of the Samaria Gorge Region, W. Crete." Bulletin of the Geological Society of Greece 34, no. 1 (2001): 29. http://dx.doi.org/10.12681/bgsg.16940.

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The island of Crete is situated near the front of an active plate margin. Therefore, it is of great interest in the framework of the International Continental Drilling Project (I.C.D.P.). A short review of the digital modelling methods, their applications in the geosciences and the associated advantages is also presented. The digital 3-dimensional geometric model of the geological structure of the Samaria Gorge region is based on the study of the stratigraphy and the tectonic evolution of the metamorphic rocks of the Plattenkalk group in SW Crete. Data from the geological map of Greece (Vatola

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Wilfred, Evienstein, and Zulherry Isnain. "Mapping of Groundwater Potential Zones Using Fuzzy Logic Technique at Kadamaian Basin, Kota Belud, Sabah, Malaysia." Nature Environment and Pollution Technology 24, no. 2 (2025): D1701. https://doi.org/10.46488/nept.2025.v24i02.d1701.

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This research was initiated to study the groundwater potential zones using the Fuzzy logic technique at Lembangan Kadamaian, Kota Belud, Sabah, and its surroundings. The lithological units of this study mainly focus on the sedimentary rock of Wariu Formation, Crocker Formation, and Trusmadi Formation, including the quaternary alluvium deposition unit of Kota Belud. Based on the structural geology analysis results, the deformation trends are in the northwest-southeast direction. The interpretation of groundwater potential zones was made by using the ArcGIS Pro, R-studio Global Mapper, and sever

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Haque, Syeda Jesmin, and Norsyafina Roslan. "The Delineation of the Langat Basin Aquifer Based on Geological and Hydrogeological Characterization of Three Urban Areas of Malaysia." Journal of Geography, Environment and Earth Science International 27, no. 7 (2023): 45–56. http://dx.doi.org/10.9734/jgeesi/2023/v27i7695.

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Aims: The aim of this study is to find out the hydrogeological settings and aquifer properties of Kajang, Bangi, and Semenyih urban areas to overcome the mismanagement of groundwater. Study Design: The scarcity of groundwater is one of the major concerns of urbanization in growing populated countries like Malaysia. Lack of knowledge of subsurface geology, hydrogeology and aquifer properties is the main reason for the groundwater mismanagement of the Langat Basin. Place and Duration of Study: The study targeted three growing urban areas Kajang, Bangi and Semenyih of Malaysia. Data w

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Liu, Jia, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann, and Peiyuan Pan. "An efficient geosciences workflow on multi-core processors and GPUs: a case study for aerosol optical depth retrieval from MODIS satellite data." International Journal of Digital Earth 9, no. 8 (2016): 748–65. http://dx.doi.org/10.1080/17538947.2015.1130087.

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