Satellite-Based Method for Monitoring Hydrological Changes

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 607

Special Issue Editors


E-Mail Website
Guest Editor
Department of Mining and Civil Engineering, Universidad Politecnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain
Interests: hydrology; water resources; hydrometeorology; remote sensing; climate change
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Civil Engineering Department, Pontificia Universidad Javeriana, Carrera 7a No. 40-62, Bogotá, Colombia
Interests: hydrology; climate change; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Changes in the hydrological cycle could be due to several drivers and pressures, such as climate change, population, and economic growth, with direct and indirect impacts on land, water resources, and biodiversity. As an example, human-induced climate change has affected precipitation patterns. However, tracking the causes of these changes is generally a difficult task due to the complexity of the involved processes and the spatial extent that these processes can reach. The precise detection of changes is essential for evaluating the interaction of hydrological phenomena with human activities and then implementing better practices for water resource management.

Improvements in satellite remote sensing techniques have allowed the development of several platforms that are able to capture multitemporal data with a wide range of spatial and temporal resolutions. Satellite remote sensing enables monitoring and detecting spatiotemporal changes in the natural water cycle phenomena (e.g., precipitation and evapotranspiration), as well as assessing human-induced impacts on water quantity and quality.

This Special Issue aims to cover the following:

  • New methods and techniques for detecting changes in the water cycle variables (e.g., precipitation, evaporation, temperature, groundwater recharge, water bodies storage, soil moisture, and runoff), including hydrological modeling that involves the assimilation of data from satellite remote sensing;
  • Development of new numerical and statistical methods of performing multitemporal analysis from remote sensor data that allow the detection of changes in the variables and dynamics of the water cycle;
  • Satellite-data-enabled hydrological applications and water resource management to detect human-induced changes on water cycle variables and water quality and impacts of climate change on hydrological processes and extreme water events.

Dr. Sandra G. García Galiano
Dr. Juan Diego Giraldo-Osorio
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 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. Water 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 2600 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

  • natural water cycle
  • human-induced changes
  • climate change impacts
  • extreme events
  • water quality
  • satellite remote sensing

Published Papers

There is no accepted submissions to this special issue at this moment.
Back to TopTop