Special Issue "Geo-Spatial Analysis in Hydrology"

A special issue of ISPRS International Journal of Geo-Information (ISSN 2220-9964).

Deadline for manuscript submissions: 15 July 2019

Special Issue Editors

Guest Editor
Prof. Qiming Zhou

Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China
Website | E-Mail
Interests: change detection and land cover modelling with remote sensing, digital terrain analysis and hydrological modeling, climate change and its impacts on water resources and ecosystems, aridzone studies
Guest Editor
Dr. Jianfeng Li

Department of Geography, Hong Kong Baptist University, Kowloon Tong, Hong Kong, China
Website | E-Mail
Interests: hydroclimatology, hydrology and water resources, climate extremes and water hazards, climate change, regional water cycle

Special Issue Information

Dear Colleagues,

A scientific understanding of the spatial and temporal distribution, movement, and dynamics of key elements of the hydrological cycle, such as precipitation, surface runoff, groundwater, soil moisture, and evapotranspiration, is the ground to achieve water security and sustainable water management. The development of geo-spatial technology, such as Geographic Information System (GIS) and remote sensing, provides more advanced and reliable platforms and tools to monitor, model, analyze, and visualize regional and global hydrological cycles in extensive spatial coverage and fine spatial/temporal resolutions. With the advancement of this technology, the volume of a variety of remotely sensed data have been substantially and rapidly increasing, which creates opportunities to further advance our understanding of the complex and spatial heterogenous hydrological systems but at the same time generates new challenges on efficiently using, mining, and analyzing this large amount of multi-source spatial data for hydrological studies.

This Special Issue seeks the newest research that integrates geo-spatial techniques in hydrological studies. As a platform for an exchange of ideas, this Special Issue aims to stimulate discussions on the development of geo-spatial methods and their applications in improving our understanding of the hydrological cycle, and solving scientific and practical challenges related to hydrological processes, the modelling of the water cycle, the monitoring and forecasting of water hazards, water security, and sustainable water management.

Themes of the Special Issue include, but are not limited to, the following topics:

  • The spatial heterogeneity of the quantity and quality of surface/underground water resources;
  • The monitoring of spatial/temporal dynamics of the water cycle;
  • The modelling of hydrological processes in a high spatial resolution;
  • The assessment, forecast, and prevention of water hazards, such as flood and drought;
  • New approaches or improvements of existing methods for spatial hydrology;
  • Sustainable water management and geo-spatial technology.

Prof. Qiming Zhou
Dr. Jianfeng Li
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

  • Geo-spatial analysis
  • Hydrology
  • Spatial hydrology
  • GIS
  • Remote sensing
  • Hydrological cycle
  • Hydrological modelling
  • Hydrological processes
  • Water hazards
  • Sustainable water management

Published Papers (1 paper)

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Research

Open AccessArticle
Consideration of Level of Confidence within Multi-Approach Satellite-Derived Bathymetry
ISPRS Int. J. Geo-Inf. 2019, 8(1), 48; https://doi.org/10.3390/ijgi8010048
Received: 4 December 2018 / Revised: 10 January 2019 / Accepted: 16 January 2019 / Published: 19 January 2019
PDF Full-text (8412 KB) | HTML Full-text | XML Full-text
Abstract
The Canadian Hydrographic Service (CHS) publishes nautical charts covering all Canadian waters. Through projects with the Canadian Space Agency, CHS has been investigating remote sensing techniques to support hydrographic applications. One challenge CHS has encountered relates to quantifying its confidence in remote sensing [...] Read more.
The Canadian Hydrographic Service (CHS) publishes nautical charts covering all Canadian waters. Through projects with the Canadian Space Agency, CHS has been investigating remote sensing techniques to support hydrographic applications. One challenge CHS has encountered relates to quantifying its confidence in remote sensing products. This is particularly challenging with Satellite-Derived Bathymetry (SDB) where minimal in situ data may be present for validation. This paper proposes a level of confidence approach where a minimum number of SDB techniques are required to agree within a defined level to allow SDB estimates to be retained. The approach was applied to a Canadian Arctic site, incorporating four techniques: empirical, classification and photogrammetric (automatic and manual). Based on International Hydrographic Organization (IHO) guidelines, each individual approach provided results meeting the CATegory of Zones Of Confidence (CATZOC) level C requirement. By applying the level of confidence approach, where technique combinations agreed within 1 m (e.g., all agree, three agree, two agree) large portions of the extracted bathymetry could now meet the CATZOC A2/B requirement. Areas where at least three approaches agreed have an accuracy of 1.2 m and represent 81% of the total surface. The proposed technique not only increases overall accuracy but also removes some of the uncertainty associated with SDB, particularly for locations where in situ validation data is not available. This approach could provide an option for hydrographic offices to increase their confidence in SDB, potentially allowing for increased SDB use within hydrographic products. Full article
(This article belongs to the Special Issue Geo-Spatial Analysis in Hydrology)
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