Reconstructive Mapping from Sparsely-Sampled Groundwater Data Using Compressive Sensing

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ISSN Print: 2151-1950
ISSN Online: 2151-1969
www.scirp.org/journal/jgis
E-mail: jgis@scirp.org

"Reconstructive Mapping from Sparsely-Sampled Groundwater Data Using Compressive Sensing"
written by T.-W. Lee, J. Y. Lee, J. E. Park, H. Bellerova, M. Raudensky,
published by Journal of Geographic Information System, Vol.13 No.3, 2021

has been cited by the following article(s):

[1]	Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods
	Hydrology and Earth System …, 2022

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[1]	Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods Hydrology and Earth System Sciences, 2022 DOI:10.5194/hess-26-4033-2022

[2]	Spatiotemporal optimization of groundwater monitoring networks using data-driven sparse sensing methods Hydrology and Earth System Sciences, 2022 DOI:10.5194/hess-26-4033-2022