Authors / CoAuthors
Kilgour, P.L. | Gow, L.
Abstract
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.<br> <b>References: </b><br> 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.
Product Type
dataset
eCat Id
135655
Contact for the resource
Point of contact
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Point of contact
Digital Object Identifier
Keywords
- ( Project )
-
- EFTF
- ( Project )
-
- Exploring for the Future
- ( Theme )
-
- Vegetation
- ( Theme )
-
- remote sensing
- ( Theme )
-
- normalised difference vegetation index
- ( Theme )
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- NDVI
- ( Place )
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- Burdekin
- theme.ANZRC Fields of Research.rdf
-
- EARTH SCIENCES
-
- Published_External
Publication Date
2020-06-24T04:37:28
Creation Date
Security Constraints
Legal Constraints
Status
completed
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.
Maintenance Information
asNeeded
Topic Category
environment
Series Information
Lineage
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.
Parent Information
Extents
[-20.30, -17.70, 143.50, 146.30]
Reference System
Spatial Resolution
Service Information
Associations
Association Type - crossReference
Exploring for the Future – Hydrogeological summary of the McBride and Nulla basalt provinces, North Queensland
eCat Identifier - 135648,
UUID - 12501042-63ac-4cb0-95b7-e2df5936ea0a
Association Type - operatedOnBy
Upper Burdekin Groundwater Raster Products WMS
eCat Identifier - 140099,
UUID - 4cf6c456-bd1d-4205-9395-9d08588e7290
Association Type - operatedOnBy
Upper Burdekin Groundwater Raster Products WMTS
eCat Identifier - 140100,
UUID - e92e6349-4a71-487d-a429-5cc3678ad598
Association Type - operatedOnBy
Upper Burdekin Groundwater Raster Products WCS
eCat Identifier - 140101,
UUID - 0850f5e3-3bed-46d6-b3cb-a1e50de18e13
Downloads and Links
Source Information