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Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels
Groundwater has become an indispensable source of irrigation and drinking water. Industrial dependence on groundwater has also increased drastically. This has led to the rapid exploitation of groundwater. There is accelerating concern about the depletion of groundwater water levels and the deteriora...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050640/ https://www.ncbi.nlm.nih.gov/pubmed/37007619 http://dx.doi.org/10.1016/j.mex.2023.102108 |
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author | Panday, Durga Prasad Kumar, Manish |
author_facet | Panday, Durga Prasad Kumar, Manish |
author_sort | Panday, Durga Prasad |
collection | PubMed |
description | Groundwater has become an indispensable source of irrigation and drinking water. Industrial dependence on groundwater has also increased drastically. This has led to the rapid exploitation of groundwater. There is accelerating concern about the depletion of groundwater water levels and the deterioration of groundwater quality due to geogenic and anthropogenic causes. The availability of groundwater data is a huge concern, as it requires both time and capital. GRACE satellite project has become a very important tool for groundwater data access. The latest version of GRACE data provides terrestrial water storage, which is the sum of surface and groundwater. The present study details the method to access GRACE satellite data and prepare a spatial map for analysis. It also discusses how to handle data at different resolutions to quantify meaningful correlations. Further, groundwater data is correlated with nitrate data (both are at different grid resolutions) to throw light on the relationship between the important anthropogenic contaminant (nitrate) and groundwater levels. This provides insights into the linkage of quantity with quality. In brief, the important contributions of the paper are: • To provide the methodology to access GRCAE data and prepare spatial maps. • To handle the variables at different grid resolutions. • To correlate two GIS maps at different spatial resolutions. |
format | Online Article Text |
id | pubmed-10050640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-100506402023-03-30 Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels Panday, Durga Prasad Kumar, Manish MethodsX Method Article Groundwater has become an indispensable source of irrigation and drinking water. Industrial dependence on groundwater has also increased drastically. This has led to the rapid exploitation of groundwater. There is accelerating concern about the depletion of groundwater water levels and the deterioration of groundwater quality due to geogenic and anthropogenic causes. The availability of groundwater data is a huge concern, as it requires both time and capital. GRACE satellite project has become a very important tool for groundwater data access. The latest version of GRACE data provides terrestrial water storage, which is the sum of surface and groundwater. The present study details the method to access GRACE satellite data and prepare a spatial map for analysis. It also discusses how to handle data at different resolutions to quantify meaningful correlations. Further, groundwater data is correlated with nitrate data (both are at different grid resolutions) to throw light on the relationship between the important anthropogenic contaminant (nitrate) and groundwater levels. This provides insights into the linkage of quantity with quality. In brief, the important contributions of the paper are: • To provide the methodology to access GRCAE data and prepare spatial maps. • To handle the variables at different grid resolutions. • To correlate two GIS maps at different spatial resolutions. Elsevier 2023-03-05 /pmc/articles/PMC10050640/ /pubmed/37007619 http://dx.doi.org/10.1016/j.mex.2023.102108 Text en © 2023 Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Method Article Panday, Durga Prasad Kumar, Manish Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels |
title | Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels |
title_full | Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels |
title_fullStr | Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels |
title_full_unstemmed | Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels |
title_short | Application of remote sensing techniques to deal with scale aspects of GRACE data to quantify groundwater levels |
title_sort | application of remote sensing techniques to deal with scale aspects of grace data to quantify groundwater levels |
topic | Method Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050640/ https://www.ncbi.nlm.nih.gov/pubmed/37007619 http://dx.doi.org/10.1016/j.mex.2023.102108 |
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