Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas
Abstract Normalized Difference Vegetation Index (NDVI) is widely used as an efficient indicator of vegetation cover. Here we assess the possibility of using NDVI as an indicator of groundwater storage. We used groundwater level (GWL) obtained from in situ groundwater observation wells (n > 15,000...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-07-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2019GL083015 |
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| author | Soumendra N. Bhanja Pragnaditya Malakar Abhijit Mukherjee Matthew Rodell Pabitra Mitra Sudeshna Sarkar |
| author_facet | Soumendra N. Bhanja Pragnaditya Malakar Abhijit Mukherjee Matthew Rodell Pabitra Mitra Sudeshna Sarkar |
| author_sort | Soumendra N. Bhanja |
| collection | DOAJ |
| description | Abstract Normalized Difference Vegetation Index (NDVI) is widely used as an efficient indicator of vegetation cover. Here we assess the possibility of using NDVI as an indicator of groundwater storage. We used groundwater level (GWL) obtained from in situ groundwater observation wells (n > 15,000) in India in 2005–2013. Good correlation (r > 0.6) is observed between NDVI and GWL in natural vegetation‐covered areas, that is, forest lands, shrubs, and grasslands. We apply artificial neural network and support vector machine approaches to investigate the relationship between GWL and NDVI using both of the parameters as input. Artificial neural network‐ and support vector machine‐simulated GWL matches very well with observed GWL, particularly in naturally vegetated areas. Thus, we interpret that NDVI may be used as a suitable indicator of groundwater storage conditions in certain areas where the water table is shallow and the vegetation is natural and where in situ groundwater observations are not available. |
| format | Article |
| id | doaj-art-21aa8e733dca468e890739ed69bddba4 |
| institution | OA Journals |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-21aa8e733dca468e890739ed69bddba42025-08-20T02:09:04ZengWileyGeophysical Research Letters0094-82761944-80072019-07-0146148082809210.1029/2019GL083015Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation AreasSoumendra N. Bhanja0Pragnaditya Malakar1Abhijit Mukherjee2Matthew Rodell3Pabitra Mitra4Sudeshna Sarkar5Department of Geology and Geophysics Indian Institute of Technology Kharagpur Kharagpur IndiaDepartment of Geology and Geophysics Indian Institute of Technology Kharagpur Kharagpur IndiaDepartment of Geology and Geophysics Indian Institute of Technology Kharagpur Kharagpur IndiaHydrological Sciences Laboratory NASA Goddard Space Flight Center Greenbelt MD USADepartment of Computer Science & Engineering Indian Institute of Technology Kharagpur Kharagpur IndiaDepartment of Computer Science & Engineering Indian Institute of Technology Kharagpur Kharagpur IndiaAbstract Normalized Difference Vegetation Index (NDVI) is widely used as an efficient indicator of vegetation cover. Here we assess the possibility of using NDVI as an indicator of groundwater storage. We used groundwater level (GWL) obtained from in situ groundwater observation wells (n > 15,000) in India in 2005–2013. Good correlation (r > 0.6) is observed between NDVI and GWL in natural vegetation‐covered areas, that is, forest lands, shrubs, and grasslands. We apply artificial neural network and support vector machine approaches to investigate the relationship between GWL and NDVI using both of the parameters as input. Artificial neural network‐ and support vector machine‐simulated GWL matches very well with observed GWL, particularly in naturally vegetated areas. Thus, we interpret that NDVI may be used as a suitable indicator of groundwater storage conditions in certain areas where the water table is shallow and the vegetation is natural and where in situ groundwater observations are not available.https://doi.org/10.1029/2019GL083015Groundwater level predictionNDVIANNSVMIndia |
| spellingShingle | Soumendra N. Bhanja Pragnaditya Malakar Abhijit Mukherjee Matthew Rodell Pabitra Mitra Sudeshna Sarkar Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas Geophysical Research Letters Groundwater level prediction NDVI ANN SVM India |
| title | Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas |
| title_full | Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas |
| title_fullStr | Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas |
| title_full_unstemmed | Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas |
| title_short | Using Satellite‐Based Vegetation Cover as Indicator of Groundwater Storage in Natural Vegetation Areas |
| title_sort | using satellite based vegetation cover as indicator of groundwater storage in natural vegetation areas |
| topic | Groundwater level prediction NDVI ANN SVM India |
| url | https://doi.org/10.1029/2019GL083015 |
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