Special Issue "Observation-Driven Understanding, Prediction, and Management in Hydrological/Hydraulic Hazard and Risk Studies"

Special Issue Editors

Dr. Raffaele Albano
E-Mail Website
Guest Editor
School of Engineering, University of Basilicata, Potenza, Italy
Interests: GIS and remote sensing; geomatics; geospatial modeling; flood assessment, monitoring and management; collaborative and adaptive water resources management; risk communication
Special Issues and Collections in MDPI journals
Prof. Dr. Jan Franklin Adamowski
E-Mail Website
Guest Editor
Faculty of Agricultural and Environmental Sciences, Department of Bioresource Engineering, McGill University
Tel. 514-398-7786
Interests: water resources modeling; integrated, collaborative and adaptive water resources management
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

This inter-Journal (IJGI/Water) Special Issue seeks to promote new and innovative studies, experiences, and models, in an effort to improve water resources management through the implementation of new algorithms, measurement systems, and Earth observation (EO) data. Challenges posed by contemporary issues such as climate change, population pressure, and increasingly complex social interactions have led to increased usage of geo-information in different phases of water resources management. Real-time access to data and the use of high-resolution spatial information provided by EO-based applications and environmental monitoring techniques have several advantages over traditional fieldwork expeditions. These include safety, the obtention of a synoptic view of the region of interest, data availability extending back several years and, in many cases, cost savings. Fortunately, the advent of new and more powerful sensors (e.g., UAVs, SAR, Lidar, GPS, citizen) provides an opportunity to image, assess, and quantify water resources management more comprehensively than ever before. Concurrently, the power of computers and newly developed algorithms has grown sharply (e.g., machine learning and system dynamic models, image classification and change detection); in particular, the integrated use of recent algorithms and EO monitoring techniques provides scientists and engineers with valuable spatial information to study hydrologic–hydraulic processes operating at different spatiotemporal scales in data-scarce environments. These studies target the monitoring and forecasting of natural risks (e.g., floods, droughts, extreme rainfall events). By providing managers and emergency officials with access to a wealth of time-continuous information for assessment and analysis of small- to large-scale natural hazards around the globe, such studies inform and improve management and emergency responses.

Contributions are solicited that address the challenge of updating and re-inventing the way water resources management and both high resource- and data-intensive processes are carried out. This Special Issue is dedicated to multi(cross/inter/trans)-disciplinary contributions with an operational user-oriented perspective, especially those focused on demonstrating the benefits of drawing upon geo-information data and models and EO sensors for water resources management.

Dr. Raffaele Albano
Prof. Dr. Jan Franklin Adamowski
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. 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

  • geospatial information
  • remote sensing
  • citizen science
  • risk management
  • machine learning
  • environmental monitoring
  • floods prediction
  • Earth observation system
  • UAV
  • SAR
  • dynamic WebGIS
  • hydrological and hydraulic modeling
  • upscaling and downscaling
  • change detection
  • 2D and 3D mapping
  • disaster relief and recovery

Published Papers (1 paper)

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Research

Open AccessArticle
The Measurement of Mobility-Based Accessibility—The Impact of Floods on Trips of Various Length and Motivation
ISPRS Int. J. Geo-Inf. 2019, 8(12), 534; https://doi.org/10.3390/ijgi8120534 - 27 Nov 2019
Abstract
The main purpose of this article was to develop a method of researching accessibility in the event of a flood through the application of measurement based on mobility. In the course of the research, it has been proven that changes in mobility (and [...] Read more.
The main purpose of this article was to develop a method of researching accessibility in the event of a flood through the application of measurement based on mobility. In the course of the research, it has been proven that changes in mobility (and the related travel speed) are too significant to be ignored when studying accessibility in unusual circumstances. The vast majority of existing accessibility studies rely primarily on speed models, which – in the event of a flood – do not indicate the external effects of the natural disaster. On the basis of the conducted research it has been stated that the occurrence of a flood has a significant impact on changes in the spatial distribution of traffic and its related speeds. Such changes vary depending on the particular means of transport. With the most commonly applied methods of measuring accessibility, which are customarily based on speed models, the changes we observed would not be recorded. The application of mobility-based research in the analyses of accessibility – especially in the event of a flood – indicates the disaster’s influence on the capacity of the road network, and thus, it allows for more effective flood-risk management. Furthermore, this article also demonstrates the possibility of applying source materials available in most member states of the EU, i.e., flood-risk maps and digital terrain models (NMPT), for the purposes of analysing and identifying road section closures within the transport network after the occurrence of a flood. Full article
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