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Special Issue "Remote Sensing and GIS Applications on Groundwater Research"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 3681

Special Issue Editor

Biology and Geology Department, Universidad Rey Juan Carlos, 28933 Madrid, Spain
Interests: remote sensing and GIS techniques applied to prospecting; management and conservation of water; geology; detection of submarine groundwater discharges

Special Issue Information

Dear Colleagues,

Groundwater is one of the most important natural resources because, in many regions, it is the main source of water supply, essential for human activities, economic development, and environmental conservation. Groundwater has several relevant advantages compared with surface water: it is less affected by evaporation, is available over large regions, and normally is of higher quality and more protected from possible pollution.

Those are precisely the reasons why it is essential to apply innovative tools to obtain more detailed and real-time knowledge of the actual situation of groundwater, to facilitate appropriate management and water protection activities. In that sense, remote sensing is a technology that provides useful groundwater indicator data, in a more efficient and less costly way than invasive methods. Furthermore, the obtained data can be integrated into geographic information systems (GIS), which are innovative technologies that have a paramount role in spatial analysis, geostatistical techniques, and numerical modeling.

This Special Issue of Sensors will present the latest advances in the application of remote sensing and GIS data analysis in the field of groundwater research and management.

We invite contributions that address every aspect of remote sensing and GIS related to the following research issues:

  • Hidrogeological mapping
  • Soil moisture monitoring
  • Assessment of natural and artificial groundwater recharge
  • Submarine groundwater discharge (SGD) evaluation
  • Assessment of groundwater use in irrigated agriculture
  • Groundwater–surface water interaction
  • GIS-based groundwater management

Aquifer vulnerability assessment

Prof. Dr. Francisco Conde
Guest Editor

Manuscript Submission Information

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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. Sensors 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.


  • Groundwater
  • Remote sensing
  • GIS
  • Groundwater management
  • Groundwater recharge
  • Aquifer vulnerability
  • Submarine groundwater discharge (SGD)
  • Groundwater–surface water interaction

Published Papers (1 paper)

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Assessment of Soil Moisture Anomaly Sensitivity to Detect Drought Spatio-Temporal Variability in Romania
Sensors 2021, 21(24), 8371; - 15 Dec 2021
Cited by 5 | Viewed by 2635
This paper will assess the sensitivity of soil moisture anomaly (SMA) obtained from the Soil water index (SWI) product Metop ASCAT, to identify drought in Romania. The SWI data were converted from relative values (%) to absolute values (m3 m−3) [...] Read more.
This paper will assess the sensitivity of soil moisture anomaly (SMA) obtained from the Soil water index (SWI) product Metop ASCAT, to identify drought in Romania. The SWI data were converted from relative values (%) to absolute values (m3 m−3) using the soil porosity method. The conversion results (SM) were validated using soil moisture in situ measurements from ISMN at 5 cm depths (2015–2020). The SMA was computed based on a 10 day SWI product, between 2007 and 2020. The analysis was performed for the depths of 5 cm (near surface), 40 cm (sub surface), and 100 cm (root zone). The standardized precipitation index (SPI), land surface temperature anomaly (LST anomaly), and normalized difference vegetation index anomaly (NDVI anomaly) were computed in order to compare the extent and intensity of drought events. The best correlations between SM and in situ measurements are for the stations located in the Getic Plateau (Bacles (r = 0.797) and Slatina (r = 0.672)), in the Western Plain (Oradea (r = 0.693)), and in the Moldavian Plateau (Iasi (r = 0.608)). The RMSE were between 0.05 and 0.184. Furthermore, the correlations between the SMA and SPI, the LST anomaly, and the NDVI anomaly were significantly registered in the second half of the warm season (July–September). Due to the predominantly agricultural use of the land, the results can be useful for the management of water resources and irrigation in regions frequently affected by drought. Full article
(This article belongs to the Special Issue Remote Sensing and GIS Applications on Groundwater Research)
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