Special Issue "Applications of GIS and Remote Sensing in Soil Environment Monitoring"
Deadline for manuscript submissions: 15 January 2023 | Viewed by 3294
Interests: soil science; regional planning; remote sensing; geostatistics
Interests: geoinformatics (GIS); geography; cartography; soil science
Interests: biosystems engineering; environmental science; theoretical production ecology; cartography; geoinformatics (GIS); geostatistics
Special Issues, Collections and Topics in MDPI journals
The monitoring of environmental features is a key issue in the sustainable management of land resources, where the increasing availability of temporal and spatial soil data plays a fundamental role. Remote sensing and GIS (geographic information system) applications enable the efficient handling of these data with the aim of developing predictive and sound models to reduce land degradation and soil erosion. There is a need to further improve studies of soil dynamics in different environmental biosystems to gain more insights into erosion processes and the effectiveness of conservation measures that contribute to the currently perceived new and modern sustainable practices.
In addition, new insights and perspective studies on soil dynamics offer great potential to better understand how soil erosion is related to natural disasters such as landslides, floods, slope instability, biodiversity loss, and climate change.
The aim of this Special Issue is to contribute to a better description of the most popular research direction in spatial data analysis of soil, focusing on the following topics:
- Applications of remote sensing and GIS to detect and monitor soil properties;
- Land use and sustainable soil management practices;
- Linking soil erosion and natural disasters (e.g., landslides, floods, and earthquakes);
- Modeling sediment transport in rivers;
- Transport of river sediments modeling;
- Monitoring and assessment of soil erosion in agriculture and forestry.
Dr. Antonio Ganga
Dr. Blaž Repe
Dr. Mario Elia
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 submissions that pass pre-check are 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. Sustainability is an international peer-reviewed open access semimonthly 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 2000 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.
- soil science
- spatial analysis
- soil properties detection
- remote sensing
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Assessing landslide susceptibility by coupling spatial data analysis and logistic model
Authors: Antonio Ganga1, Mario Elia 2*, Ersilia D’Ambrosio2, Simona Tripaldi3, Gian Franco Capra1, Francesco Gentile2, Giovanni Sanesi2
1 Dipartimento di Architettura, Design e Urbanistica, Università degli Studi di Sassari, Viale Piandanna n 4, 07100, Sassari, Italy
2 Department of Agricultural and Environmental Sciences, University of Bari A. Moro, Bari, Italy
3 Department of Earth and Geo-environmental Sciences, University of Bari Aldo Moro, Bari, Italy *
Correspondence. Department of Agricultural and Environmental Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy. E-mail address: [email protected]
Abstract: Landslides represent one of the most critical issues for landscape managers, being a phenomenon that could generate injuries and loss of human life, properties, and infrastructure. The spatial and temporal distribution of these detrimental events makes it almost unpredictable. Studies on landslide susceptibility assessment can significantly contribute to prioritizing critical risk zones. Further, landslide prevention and mitigation and the relative importance of the affecting drivers acquire even more significance in areas characterized by seismicity. This study aimed to investigate the relationship between a set of environmental variables and the occurrence of landslide events in an area of the Apulia Region (Italy). The logistic regression was applied to a landslide-prone area in the Apulia Region (Italy), to identify the main causative factors using a large dataset of environmental predictors (47). The results show as in this case study the logistic regression achieved a good performance, (AUC>70%), therefore, the model developed would be a useful tool to define and assess areas for landslide occurrence and contribute to implementing risk mitigation strategy and land use policy.
Keywords: Landslide, Logistic regression, Environmental Hazard, Risk Assessment
Title: An Integrated Environmental Monitoring Model for Holm Oak Decline Risk Assessment in a Mediterranean Coastal Forest
Authors: Francesca Angius 1, Bruno Scanu 1, Ludmila Roder 2, Andrea Brandano 1, Gian Franco Capra 2 and Antonio Ganga2,*
Affiliation: 1 Department of Agricultural Sciences, University of Sassari, Viale Italia 39A, 07100 Sassari, Italy; 2 Department of Architecture, Design and Urban Planning, University of Sassari * Correspondence: [email protected];
Abstract: Abstract: In recent years, the decline of holm oak forests in the Mediterranean area is assuming worrying dimensions. This phenomenon is complex and correlated to several factors that directly or indirectly interact with tree pathogens, such as Phytophthora species. Therefore, phytosanitary monitoring has become a priority to protect these forests, especially in coastal and more densely urbanized areas. This work aims to propose and validate an integrated monitoring model developed starting from soil data collected during field activities, remote sensing elaboration, Phytophthora presence and distribution and phytosanitary data conditions of a holm oak trees on Caprera Island, Italy. The spatial analysis elaborations showed the evolution of the phenomenon correlated with some morphological and pedological parameters. Further, the multivariate statistical analysis reveals the relationship between environmental drivers and the distribution of holm oak decline caused by Phytophthora species. An integrated approach is revealing fundamental to improve the monitoring and management of oak decline, nowadays considered nearly irreversible.