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Special Issue Information

Dear Colleagues,

Groundwater is an essential freshwater resource worldwide. Sustainable use of groundwater resources in aquifers relies on understanding water storage and water balance in the aquifer system. Remote sensing has become a useful technique to provide overviews of water cycle components on regional-scale problems. Recent developments in remote sensing technologies have made brought about significant improvements in spatial and temporal resolution. Observations and models from remote sensing techniques are useful resources for monitoring and management of groundwater resources.

The applications of remote sensing to groundwater studies present many challenges that cover a wide variety of technical and scientific disciplines. These challenges include sensors, data fusion, data validation, models, and field investigations relevant to groundwater resource exploration, management, and associated groundwater-induced hazards such as land subsidence, sinkholes, and slope stability. For this Special Issue, we encourage submissions that focus on addressing advanced remote sensing approaches for exploring and managing groundwater resources. This Special Issue welcomes high-quality submissions that provide the community with the most recent advancements on all aspects of remote sensing technologies and applications, including but not limited to:

Monitoring and management of groundwater resources;
Estimation of groundwater recharge and discharge;
Interactions between groundwater and surface water;
Groundwater potential mapping;
Monitoring of groundwater storage;
Groundwater vulnerability mapping;
Pumping-induced land subsidence;
Groundwater and geohazards;
Other topics on applications of remote sensing technologies to groundwater management and mapping.

Prof. Dr. Chuen-Fa Ni
Prof. Dr. Takang Yeh
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. Remote Sensing 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 2700 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.

Related Special Issue

Published Papers (1 paper)

Research

31 pages, 14098 KiB

Open AccessArticle

Cost-Effective Groundwater Potential Mapping by Integrating Multiple Remote Sensing Data and the Index–Overlay Method

by Lamtupa Nainggolan, Chuen-Fa Ni, Yahya Darmawan, Wei-Cheng Lo, I-Hsian Lee, Chi-Ping Lin and Nguyen Hoang Hiep

Remote Sens. 2024, 16(3), 502; https://doi.org/10.3390/rs16030502 - 28 Jan 2024

Viewed by 860

Abstract

The Choushui River groundwater basin (CRGB) in Yunlin County, Taiwan, is a significant groundwater source for the western part of the region. However, increasing groundwater demand and human activities have triggered a potential crisis due to overexploitation. Therefore, groundwater potential zone (GWPZ) maps are crucial for mapping groundwater resources and water resource management. This study employs the normalized index–overlay method and fuzzy extended analytical hierarchy process (FE-AHP) to map GWPZs cost-effectively. The methodology objectively incorporates weightings from various thematic layers by normalizing and correlating parameters with observed groundwater availability (GA). Site-specific observations, including aquifer thickness, depth to the groundwater level, and porosity, inform GA calculations. Seven comprehensive layers derived from remote sensing (RS) data are processed to obtain weightings and ratings for the groundwater potential index (GWPI) in the CRGB. Selected parameters are categorized into hydrological processes, human interventions, geological, and surface profiles. Hydrological processes include precipitation, modified normalized difference water index (MNDWI), and drainage density. Human interventions consist of the enhanced vegetation index (EVI) and normalized difference building index (NDBI). Surface profiles encompass the terrain ruggedness index (TRI) and slope, enhancing the study’s multi-criteria approach. The observed GA validates the GWPZ accuracy, classifying zones into five categories. According to the GWPI of FE-AHP, about 59.56% of the CRGB area can be categorized as “moderate” to “very good” potential groundwater recharge zones. Pearson’s correlation coefficient between GWPI and GA, based on FE-AHP, outperforms the conventional AHP. This RS-based approach efficiently evaluates GA in aquifers with limited wells, highlighting crucial zones in CRGB’s proximal-fan and southeastern mid-fan for informed groundwater management strategies. Full article

(This article belongs to the Special Issue Remote Sensing Approaches to Groundwater Management and Mapping (Second Edition))

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