Data

NDVI combined classification for the McBride and Nulla basalt provinces

Geoscience Australia
Kilgour, P.L. ; Gow, L.
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://pid.geoscience.gov.au/dataset/ga/135655&rft.title=NDVI combined classification for the McBride and Nulla basalt provinces&rft.identifier=https://pid.geoscience.gov.au/dataset/ga/135655&rft.publisher=Commonwealth of Australia (Geoscience Australia)&rft.description=Normalised Difference Vegetation Index (NDVI) was used to map vegetation with potential access to groundwater in the basalt provinces in the Upper Burdekin. NDVI is widely used to infer vegetation density and/or vigour. Several studies (e.g. Barron et al., 2014; Gou et al., 2015; Lv et al., 2013) have used NDVI to identify groundwater-dependent vegetation (GDV) based on the hypothesis that during dry seasons or extended dry periods, soil moisture progressively becomes depleted. Under these conditions, GDV are expected to exhibit minimal or no reduction in condition relative to vegetation subject to the same conditions that do not have access to groundwater. References: Barron OV, Emelyanova I, Van Niel TG, Pollock D and Hodgson G (2014) Mapping groundwater-dependent ecosystems using remote sensing measures of vegetation and moisture dynamics. Hydrological processes 28(2), 372-385. Doi: 10.1002/hyp.9609; Gou S, Gonzales S and Miller GR (2015) Mapping Potential Groundwater-Dependent Ecosystems for Sustainable Management. Ground Water 53(1), 99-110. Doi: 10.1111/gwat.12169; Lv J, Wang X-S, Zhou Y, Qian K, Wan L, Eamus D and Tao Z (2013) Groundwater-dependent distribution of vegetation in Hailiutu River catchment, a semi-arid region in China. Ecohydrology 6(1), 142-149. Doi: 10.1002/eco.1254.Maintenance and Update Frequency: asNeededStatement: To create this dataset, the median dry and wet NDVI were calculated for the end of the dry season (October for McBride, September for Nulla) and end of the wet season (March) for all available cloud-free Landsat imagery between 1987 and 2018. Dry NDVI values were subtracted from wet NDVI values to show the difference over time. Both dry NDVI and NDVI difference were classified (see Table 3.3 in link to 'Exploring for the Future – Hydrogeological summary of the McBride and Nulla basalt provinces, North Queensland'). These classified datasets were combined with the first number of the two digit code corresponding to the dry NDVI class and the second digit corresponding to the NDVI difference class.&rft.creator=Kilgour, P.L. &rft.creator=Gow, L. &rft.date=2020&rft.coverage=westlimit=143.50; southlimit=-20.30; eastlimit=146.30; northlimit=-17.70&rft.coverage=westlimit=143.50; southlimit=-20.30; eastlimit=146.30; northlimit=-17.70&rft_rights=&rft_rights=Creative Commons Attribution 4.0 International Licence&rft_rights=CC-BY&rft_rights=4.0&rft_rights=http://creativecommons.org/licenses/&rft_rights=Australian Government Security ClassificationSystem&rft_rights=https://www.protectivesecurity.gov.au/Pages/default.aspx&rft_rights=WWW:LINK-1.0-http--link&rft_rights=Creative Commons Attribution 4.0 International Licence http://creativecommons.org/licenses/by/4.0&rft_subject=environment&rft_subject=EFTF&rft_subject=Exploring for the Future&rft_subject=Vegetation&rft_subject=remote sensing&rft_subject=normalised difference vegetation index&rft_subject=NDVI&rft_subject=Burdekin&rft_subject=EARTH SCIENCES&rft_subject=Published_External&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
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Creative Commons Attribution 4.0 International Licence

CC-BY

4.0

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Australian Government Security ClassificationSystem

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Brief description

Normalised Difference Vegetation Index (NDVI) was used to map vegetation with potential access to groundwater in the basalt provinces in the Upper Burdekin. NDVI is widely used to infer vegetation density and/or vigour. Several studies (e.g. Barron et al., 2014; Gou et al., 2015; Lv et al., 2013) have used NDVI to identify groundwater-dependent vegetation (GDV) based on the hypothesis that during dry seasons or extended dry periods, soil moisture progressively becomes depleted. Under these conditions, GDV are expected to exhibit minimal or no reduction in condition relative to vegetation subject to the same conditions that do not have access to groundwater.
References:
Barron OV, Emelyanova I, Van Niel TG, Pollock D and Hodgson G (2014) Mapping groundwater-dependent ecosystems using remote sensing measures of vegetation and moisture dynamics. Hydrological processes 28(2), 372-385. Doi: 10.1002/hyp.9609; Gou S, Gonzales S and Miller GR (2015) Mapping Potential Groundwater-Dependent Ecosystems for Sustainable Management. Ground Water 53(1), 99-110. Doi: 10.1111/gwat.12169; Lv J, Wang X-S, Zhou Y, Qian K, Wan L, Eamus D and Tao Z (2013) Groundwater-dependent distribution of vegetation in Hailiutu River catchment, a semi-arid region in China. Ecohydrology 6(1), 142-149. Doi: 10.1002/eco.1254.

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Maintenance and Update Frequency: asNeeded
Statement: To create this dataset, the median dry and wet NDVI were calculated for the end of the dry season (October for McBride, September for Nulla) and end of the wet season (March) for all available cloud-free Landsat imagery between 1987 and 2018. Dry NDVI values were subtracted from wet NDVI values to show the difference over time. Both dry NDVI and NDVI difference were classified (see Table 3.3 in link to 'Exploring for the Future – Hydrogeological summary of the McBride and Nulla basalt provinces, North Queensland'). These classified datasets were combined with the first number of the two digit code corresponding to the dry NDVI class and the second digit corresponding to the NDVI difference class.

Notes

Purpose
The NDVI classification reveals additional information about the spatial variation in vegetation vigour and/or density within the major vegetation groups. Vegetation with higher NDVI values during the dry season and also minimal decline in NDVI from the wet season to the dry season are interpreted as having access to reliable water sources such as groundwater.

Issued: 24 06 2020

Data time period: 1987-10-01 to 2018-12-31

This dataset is part of a larger collection

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146.3,-17.7 146.3,-20.3 143.5,-20.3 143.5,-17.7 146.3,-17.7

144.9,-19

text: westlimit=143.50; southlimit=-20.30; eastlimit=146.30; northlimit=-17.70

Subjects
Burdekin | EARTH SCIENCES | EFTF | Exploring for the Future | NDVI | Published_External | Vegetation | environment | normalised difference vegetation index | remote sensing |

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