Special Issue "Spatial Information Science and Technology for Geological Field Mapping"

Special Issue Editor

Prof. Dr. Mauro De Donatis
E-Mail Website
Guest Editor
Department of Pure and Applied Sciences, Università degli Studi di Urbino "Carlo Bo", 61029 Urbino, Italy
Interests: digital field mapping; 3D geological modeling; sedimentary geology; tectonics and sedimentation; geoarchaeology
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Special Issue Information

Dear Colleagues,

This Special Issue aims to collect scientific and technological contributions that indicate the state of the art on methods and procedures, techniques, and tools (hardware and software) used for the geological survey in the digital age.

In fact, digital tools have been available for some years to collect data and information in the field for geological maps drawing and data capturing, with accuracy improvement and information management.

Authors coming from research institutes, agencies, institutions, and universities with different experiences and scopes are welcome.

Contributions that include the following topics will be particularly appreciated:

  • Preparation digital procedures (laboratory pre fieldwork), survey (fieldwork), and interpretation (laboratory after fieldwork);
  • Hardware–operator interaction in the field (tablet PCs, smartphones, etc.);
  • Open source and commercial software and apps;
  • Management of cartography and online and offline data;
  • Multidimensional mapping detection and return;
  • GPS and mobile GIS;
  • Drones, remote sensing, and geophysics technologies that can be used directly on the ground;
  • Advantages and limitations of digital survey methods;
  • Teaching digital methods in academic geological field mapping courses.

Authors are invited to send short abstracts for the purposes of their research and the main results obtained, to verify that their contribution is aligned with the objectives of the Special Issue.

Prof. Dr. Mauro De Donatis
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Mobile GIS
  • GPS
  • Information and data capturing 
  • Database 
  • Digital cartography 
  • Open source and commercial software and apps 
  • Multidimensional mapping 
  • Tablet PC
  • Smartphones 
  • Drones

Published Papers (2 papers)

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Research

Open AccessArticle
Intelligent High-Resolution Geological Mapping Based on SLIC-CNN
ISPRS Int. J. Geo-Inf. 2020, 9(2), 99; https://doi.org/10.3390/ijgi9020099 - 05 Feb 2020
Abstract
High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems. At present, high-resolution geological mapping is still generated by expert interpretation of survey lines, compasses, and field data. The work in [...] Read more.
High-resolution geological mapping is an important supporting condition for mineral and energy exploration. However, high-resolution geological mapping work still faces many problems. At present, high-resolution geological mapping is still generated by expert interpretation of survey lines, compasses, and field data. The work in the field is constrained by the weather, terrain, and personnel, and the working methods need to be improved. This paper proposes a new method for high-resolution mapping using Unmanned Aerial Vehicle (UAV) and deep learning algorithms. This method uses the UAV to collect high-resolution remote sensing images, cooperates with some groundwork to anchor the lithology, and then completes most of the mapping work on high-resolution remote sensing images. This method transfers a large amount of field work into the room and provides an automatic mapping process based on the Simple Linear Iterative Clustering-Convolutional Neural Network (SLIC-CNN) algorithm. It uses the convolutional neural network (CNN) to identify the image content and confirms the lithologic distribution, the simple linear iterative cluster (SLIC) algorithm can be used to outline the boundary of the rock mass and determine the contact interface of the rock mass, and the mode and expert decision method is used to clarify the results of the fusion and mapping. The mapping method was applied to the Taili waterfront in Xingcheng City, Liaoning Province, China. In this study, the Area Under the Curve (AUC) of the mapping method was 0.937. The Kappa test result was k = 0.8523, and a high-resolution geological map was obtained. Full article
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Open AccessArticle
SLiX: A GIS Toolbox to Support Along-Stream Knickzones Detection through the Computation and Mapping of the Stream Length-Gradient (SL) Index
ISPRS Int. J. Geo-Inf. 2020, 9(2), 69; https://doi.org/10.3390/ijgi9020069 - 21 Jan 2020
Abstract
The stream length-gradient (SL) index is widely used in geomorphological studies aimed at detecting knickzones, which are extensive along-stream deviations from the typical concave-up shape assumed for stream longitudinal profiles at steady-state conditions. In particular, SL was practical for identifying anomalous gradients along [...] Read more.
The stream length-gradient (SL) index is widely used in geomorphological studies aimed at detecting knickzones, which are extensive along-stream deviations from the typical concave-up shape assumed for stream longitudinal profiles at steady-state conditions. In particular, SL was practical for identifying anomalous gradients along bedrock stream channels in mountainous catchments. This work presents the GIS toolbox SLiX designed to extract values of the SL index, starting from Digital Elevation Models (DEMs). SLiX is also suitable for the spatial analysis of the SL values, allowing for the identification of landscape portions where anomalous high values of SL occur and, consequently, those catchment sectors where stream channels show peaks in the erosional dynamic. The SLiX main outputs are (i) point shapefiles containing, among stream channels attributes, the extracted values of SL along the stream network analyzed, and (ii) SL anomaly maps in GeoTIFF format, computed through the Hotspot and Cluster Analysis (HCA), that permit the detection of the catchment sectors where the major SL anomalies occur and consequently the principal knickzones. The application of the proposed tool within an experimental catchment located in the Northern Apennines of Italy demonstrated the proper functionality and the potential of its use for different geomorphological and environmental studies. The accurate and cost-effective detection of anomalous changes in stream gradient ensured by SLiX is of great interest and can be useful for studies aimed at unravelling the Earth processes responsible of their formation (e.g., active hillslope processes, such as landslides directly interacting with the streambed, presence of geological structures, and meander cut-off). The applications of SLiX have clear implications for preliminary analyses, at a regional scale in different morpho-climatic contexts, for the hydrological management of river basins and/or to prevent geological hazards related to the fluvial erosional dynamics. Full article
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