Reconstructive Mapping from Sparsely-Sampled Groundwater Data Using Compressive Sensing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU140796" target="_blank" >RIV/00216305:26210/21:PU140796 - isvavai.cz</a>
Result on the web
<a href="https://www.scirp.org/journal/paperinformation.aspx?paperid=108983" target="_blank" >https://www.scirp.org/journal/paperinformation.aspx?paperid=108983</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4236/jgis.2021.133016" target="_blank" >10.4236/jgis.2021.133016</a>
Alternative languages
Result language
angličtina
Original language name
Reconstructive Mapping from Sparsely-Sampled Groundwater Data Using Compressive Sensing
Original language description
Compressive sensing is a powerful method for reconstruction of sparsely-sampled data, based on statistical optimization. It can be applied to a range of flow measurement and visualization data, and in this work we show the usage in groundwater mapping. Due to scarcity of water in many regions of the world, including southwestern United States, monitoring and management of groundwater is of utmost importance. A complete mapping of groundwater is difficult since the monitored sites are far from one another, and thus the data sets are considered extremely “sparse”. To overcome this difficulty in complete mapping of groundwater, compressive sensing is an ideal tool, as it bypasses the classical Nyquist criterion. We show that compressive sensing can effectively be used for reconstructions of groundwater level maps, by validating against data. This approach can have an impact on geographical sensing and information, as effective monitoring and management are enabled without constructing numerous or expensive measurement sites for groundwater.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
20101 - Civil engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Geographical Information Systems
ISSN
0269-3798
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
287-301
UT code for WoS article
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EID of the result in the Scopus database
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