2022
DOI: 10.1016/j.scitotenv.2021.150635
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Assessing the utility of remote sensing data to accurately estimate changes in groundwater storage

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Cited by 38 publications
(23 citation statements)
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References 67 publications
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“…As Ahamed et al. (2021) show, GRACE is quite effective at capturing responses to large recharge events. The similar response in vegetation and water storage in the basin may reflect that these systems are primarily responding to changes in shallow vadose zone soil moisture.…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…As Ahamed et al. (2021) show, GRACE is quite effective at capturing responses to large recharge events. The similar response in vegetation and water storage in the basin may reflect that these systems are primarily responding to changes in shallow vadose zone soil moisture.…”
Section: Resultsmentioning
confidence: 97%
“…The clear annual signal in these data, like vegetation extent, is in phase with summer precipitation and responds strongly and rapidly to large precipitation events while also showing rapid declines during years with low rainfall. As Ahamed et al (2021) show, GRACE is quite effective at capturing responses to large recharge events. The similar response in vegetation and water storage in the basin may reflect that these systems are primarily responding to changes in shallow vadose zone soil moisture.…”
Section: Hydrological Changesmentioning
confidence: 92%
“…This displayed the differences in magnitude and temporal lag between groundwater depletion and recorded subsidence by different sub-basins. Recent water balance approach by Ahamed et al (2022) displayed that integration of various remote sensing data can successfully estimate and monitor groundwater storage changes across spatial scales finer than GRACE. Such efforts to integrate various remote sensing data set.…”
Section: Integration Of Different Remote Sensing Data Setsmentioning
confidence: 99%
“…Recent water balance approach by Ahamed et al. (2022) displayed that integration of various remote sensing data can successfully estimate and monitor groundwater storage changes across spatial scales finer than GRACE. Such efforts to integrate various remote sensing data set.…”
Section: Future Advances and Potential Directionsmentioning
confidence: 99%
“…As a result, a nonstationary algorithm for spatial interpolating geophysical corrections has been developed. When the coverage is good, this algorithm extends local trends and admits it to bend to a previous background when the coverage is insufficient (Ahamed et al 2022 ).…”
Section: Phase Ii: Geostatistics and Spatial Analysis Of Aqi Datamentioning
confidence: 99%