Special Issue "Geomatics for Resource Monitoring and Management"

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Prof. Dr. Eufemia Tarantino
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Guest Editor
Politecnico di Bari, Via Orabona, 4, 70126 Bari (BA), Italy
Interests: geomatics; optical remote sensing; pixel-based and geographic object-based image analysis (GEOBIA); UAV applications; digital photogrammetry and spatial analysis for water resource management
Special Issues and Collections in MDPI journals
Prof. Dr. Enrico Borgogno Mondino
E-Mail Website
Guest Editor
Department of Agricultural, Forest and Food Sciences, University of Torino, 10095 Grugliasco, Italy
Interests: remote sensing; digital photogrammetry and spatial analysis for agriculture, forest and environmental applications
Special Issues and Collections in MDPI journals
Prof. Dr. Marco Scaioni
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Guest Editor
Department of architecture, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milano, Italy
Interests: photogrammetry; geomatics for geosciences; remote sensing of the built environment
Special Issues and Collections in MDPI journals
Dr. Alessandra Capolupo
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Guest Editor

Special Issue Information

Dear Colleagues,

This Special Issue entitled “Geomatics for Resource Monitoring and Management” will assemble high-level contributions related to the application of innovative Geomatics techniques for monitoring natural and artificial resources. Natural hazards and anthropogenic activities, possibly related to the ongoing climate change, are strongly modifying the Earth, with social, environmental and economic impacts at both local and global scales. To tackle them, there is a need for novel resource monitoring and management approaches and protocols, aimed at simplifying the extraction, processing, and accessing of geospatial information derived from remote/near/close-range sensors. A wide variety of data (mainly satellite) can be freely accessed through open archives, exploring a time range that makes them suitable to explore the mid-term effects of climate change. Some others may come from new data acquisition projects that are managed directly by users thanks to the substantial advancements in low-cost systems and sensors, for a more punctual and accurate description of limited areas, as well for validation/integration with spaceborne data sets. Consequently, in this Special Issue, we invite papers focusing on, but are not limited to, the following topics:

  • Remote and proximal sensors for geospatial data acquisition;
  • Systems for data processing, analysis and representation;
  • Multi-source and integrated approaches for monitoring and management of natural resources;
  • Techniques for 3D data acquisition and objects reconstruction/modelling;
  • Surveying methods for monitoring and documentation of the built environment;
  • Tools for geospatial data sharing;
  • Geomatics for environmental and urban modelling, risk management, and precision agriculture.

Prof. Dr. Eufemia Tarantino
Prof. Dr. Enrico Borgogno Mondino
Prof. Dr. Marco Scaioni
Dr. Alessandra Capolupo
Guest Editors

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. Land 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 1800 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

  • remote/proximal sensing
  • photogrammetry
  • disaster monitoring
  • hazards mitigation
  • monitoring
  • agriculture
  • forestry
  • time series
  • environmental monitoring
  • land cover
  • change detection
  • urban environment
  • downstream services
  • geomatics

Published Papers (5 papers)

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Research

Article
Locating the Italian Radioactive Waste Repository: Issues and Perplexities Arisen from Open Data-Based Analyses about the TO-10 Site (NW Italy)
Land 2021, 10(9), 932; https://doi.org/10.3390/land10090932 - 05 Sep 2021
Viewed by 362
Abstract
Recently, Italy has started the procedure for the selection of suitable sites for hosting the National Repository for Low-Medium Activity Radioactive Wastes. Sogin spa, a public company, taking into account the criteria of the ISPRA Technical Guide no. 29, solicited by the EU [...] Read more.
Recently, Italy has started the procedure for the selection of suitable sites for hosting the National Repository for Low-Medium Activity Radioactive Wastes. Sogin spa, a public company, taking into account the criteria of the ISPRA Technical Guide no. 29, solicited by the EU Directive 2011/70/Euratom, has presented the CNAPI (National Map of the Potentially Suitable Areas) which has become operative since 5 January 2021. Sixty-seven sites were identified in Italy as potentially suitable for hosting the repository. Some criticalities immediately appeared concerning the properness of the selection. An analysis was, therefore, achieved to explore part of the rationales underlying the adopted procedure. A paradigmatic site, namely the TO-10 one (NW Italy), was chosen for the analysis, which highlighted significant anomalies affecting both the procedure rationales and its results. Since the selection process majorly relies on geographical data, attention was particularly paid on the role of official data from open archives. With reference to the most updated and detailed ones, we demonstrated that the Sogin procedure suffers from several critical points. In particular, with reference to the TO-10 site, we found that it cannot be absolutely considered to be suitable for hosting the National Deposit. In fact, it proved to match several exclusion criteria included in the ISPRA Technical Guide n. 29. These include: the potentially high “seismic risk” due to a “seismic gap” and complex tectonics associated with uplift (up to 1–1.5 mm/y); a highly vulnerable and extremely superficial groundwater table; a high permeability (10−2–10−3 m/s) of the cover sedimentary units; not proper buffer zones around local settlements. In spite of the local specificity of the analysis, results concerning procedure weaknesses are general. Consequently, we expect that they can be a stimulus for Sogin to more properly face the next steps of the selection procedure. Full article
(This article belongs to the Special Issue Geomatics for Resource Monitoring and Management)
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Article
Land Cover Mapping from Colorized CORONA Archived Greyscale Satellite Data and Feature Extraction Classification
Land 2021, 10(8), 771; https://doi.org/10.3390/land10080771 - 22 Jul 2021
Viewed by 820
Abstract
Land cover mapping is often performed via satellite or aerial multispectral/hyperspectral datasets. This paper explores new potentials for the characterisation of land cover from archive greyscale satellite sources by using classification analysis of colourised images. In particular, a CORONA satellite image over Larnaca [...] Read more.
Land cover mapping is often performed via satellite or aerial multispectral/hyperspectral datasets. This paper explores new potentials for the characterisation of land cover from archive greyscale satellite sources by using classification analysis of colourised images. In particular, a CORONA satellite image over Larnaca city in Cyprus was used for this study. The DeOldify Deep learning method embedded in the MyHeritage platform was initially applied to colourise the CORONA image. The new image was then compared against the original greyscale image across various quality metric methods. Then, the geometric correction of the CORONA coloured image was performed using common ground control points taken for aerial images. Later a segmentation process of the image was completed, while segments were selected and characterised for training purposes during the classification process. The latest was performed using the support vector machine (SVM) classifier. Five main land cover classes were selected: land, water, salt lake, vegetation, and urban areas. The overall results of the classification process were then evaluated. The results were very promising (>85 classification accuracy, 0.91 kappa coefficient). The outcomes show that this method can be implemented in any archive greyscale satellite or aerial image to characterise preview landscapes. These results are improved compared to other methods, such as using texture filters. Full article
(This article belongs to the Special Issue Geomatics for Resource Monitoring and Management)
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Article
Tracking Deformation Processes at the Legnica Glogow Copper District (Poland) by Satellite InSAR—II: Żelazny Most Tailings Dam
Land 2021, 10(6), 654; https://doi.org/10.3390/land10060654 - 18 Jun 2021
Cited by 1 | Viewed by 531
Abstract
The failures of tailings dams have a major negative impact on the economy, surrounding properties, and people’s lives, and therefore the monitoring of these facilities is crucial to mitigate the risk of failure, but this can be challenging due to their size and [...] Read more.
The failures of tailings dams have a major negative impact on the economy, surrounding properties, and people’s lives, and therefore the monitoring of these facilities is crucial to mitigate the risk of failure, but this can be challenging due to their size and inaccessibility. In this work, the deformation processes at Żelazny Most tailings dam (Poland) were analyzed using satellite Ad-vanced Differential SAR Interferometry (A-DInSAR) from October 2014 to April 2019, showing that the dam is affected by both settlements (with a maximum rate of 30 mm/yr), and horizontal sliding in radial direction with respect to the ponds. The load of the tailings is pushing the dam forward along the glacio-tectonic shear planes located at depth, in the Pliocene clays, causing horizontal displacements at a rate up to 30 mm/yr, which could lead to a passive failure of the dam. The measured displacements have been compared with the ones observed by in situ data from the 90s to 2013, available in the literature. The outcomes indicate that intense localized deformations occur in the eastern and northern sectors of the dam, while the western sector is deforming evenly. Moreover, although the horizontal deformation had a slowdown from 2010 until 2013, it continued in 2014 to 2019 with recovered intensity. The upper and the recent embankments are affected by major settlements, possibly due to a lower consolidation degree of the most recent tailings and a larger thickness of compressible materials. Full article
(This article belongs to the Special Issue Geomatics for Resource Monitoring and Management)
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Article
Tracking Deformation Processes at the Legnica Glogow Copper District (Poland) by Satellite InSAR—I: Room and Pillar Mine District
Land 2021, 10(6), 653; https://doi.org/10.3390/land10060653 - 18 Jun 2021
Viewed by 587
Abstract
Mining exploitation leads to slow or rapid ground subsidence resulting from deformation until the collapse of underground post-mining voids following excavation activities. Satellite SAR interferometry capabilities for the evaluation of ground movements allows the monitoring of intensive surface mine subsidence and can provide [...] Read more.
Mining exploitation leads to slow or rapid ground subsidence resulting from deformation until the collapse of underground post-mining voids following excavation activities. Satellite SAR interferometry capabilities for the evaluation of ground movements allows the monitoring of intensive surface mine subsidence and can provide new knowledge about the risks in the mining industry. This work integrates both conventional and advanced Differential SAR Interferometry (DInSAR) to study the ground subsidence in the Legnica Glogow Copper District (LGCD, Poland) by processing about 400 Sentinel-1 images from October 2014 to April 2019. Even without field data and information on past and ongoing excavation activities, the DInSAR approach allowed us to identify 30 troughs of subsidence, ranging from 500 m to 2.5 km in diameter, which in some cases, took place several times during the analyzed time span. The cumulative subsidence in 4 years and 7 months exceeds 70 cm in several zones of the LGCD. The sub-centimetric precision achieved by advanced analysis (A-DInSAR), allowed us to monitor the real extent of the mining influence area on the surface, with deformation velocities of up to 50 mm/year. The ground deformation detected at LGCD can be due to both mining-induced tremors and roof subsidence above the underground excavation rooms. As deformations do not occur concurrently with tremors, this can be related to excavation activities or to degradation of abandoned mines. Full article
(This article belongs to the Special Issue Geomatics for Resource Monitoring and Management)
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Article
Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data
Land 2021, 10(2), 100; https://doi.org/10.3390/land10020100 - 22 Jan 2021
Cited by 2 | Viewed by 969
Abstract
Coastal regions are one of the most vulnerable areas to the effects of global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, the socioeconomic importance of coastal regions where the most populated cities are [...] Read more.
Coastal regions are one of the most vulnerable areas to the effects of global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, the socioeconomic importance of coastal regions where the most populated cities are located is high. However, shoreline changes in Indonesia are relatively understudied. In particular, detailed monitoring with remote sensing data is lacking despite the abundance of datasets and the availability of easily accessible cloud computing platforms such as the Google Earth Engine that are able to perform multi-temporal and multi-sensor mapping. Our study aimed to assess shoreline changes in East Java Province Indonesia from 2000 to 2019 using variables derived from a multi-sensor combination of optical remote sensing data (Landsat-7 ETM and Landsat-8 OLI) and radar data (ALOS Palsar and Sentinel-1 data). Random forest and GMO maximum entropy (GMO-Maxent) accuracy was assessed for the classification of land and water, and the land polygons from the best algorithm were used for deriving shorelines. In addition, shoreline changes were quantified using Digital Shoreline Analysis System (DSAS). Our results showed that coastal accretion is more profound than coastal erosion in East Java Province with average rates of change of +4.12 (end point rate, EPR) and +4.26 m/year (weighted linear rate, WLR) from 2000 to 2019. In addition, some parts of the shorelines in the study area experienced massive changes, especially in the deltas of the Bengawan Solo and Brantas/Porong river with rates of change (EPR) between −87.44 to +89.65 and −18.98 to +111.75 m/year, respectively. In the study areas, coastal erosion happened mostly in the mangrove and aquaculture areas, while the accreted areas were used mostly as aquaculture and mangrove areas. The massive shoreline changes in this area require better monitoring to mitigate the potential risks of coastal erosion and to better manage coastal sedimentation. Full article
(This article belongs to the Special Issue Geomatics for Resource Monitoring and Management)
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