The aim of this study was to test the potential of MODIS NDVI
data as long-term tracer of wetland vegetation in the DSC.
Particular objectives were to identify and map the spring
vegetation greenness, to produce and analyse time traces of
NDVI and wetness indices, as well as to relate information
about temporal variability of springs derived from medium
resolution remote sensing to groundwater flow, rainfall,
ecological processes and human management
2. METHODS
MODIS-Aqua NDVI images centred on DSC were acquired
between July 2002 and May 2010, providing continuous 16-day
composite data over approximately 8 years. MODIS data were
resampled to WGS 84 / UTM zone 53 and maps of the study
area were produced (Figure 1c). With reference to air photos,
field observation and site-specific knowledge (White and Lewis,
2010a, b), 21 MODIS pixels representative of six different
typical vegetation and land cover types at DSC were
geographically located on the MODIS-Aqua images. Four of
these pixels were representative of Melaleuca glomerata, three
of Phragmites australis, and two of ephemeral vegetation. For
comparison, four pixels representatives of saline, three of
upland and five of riverine cover types were also selected.
These ecosystems are the typical non-wetland ecosystems
encountered around the DSC (figure 1a).
Time-traces of NDVI were extracted from these pixels and
analysed with a Non-Metric Multidimensional Scaling (NMDS)
ordination to determine whether the wetland types could be
differentiated on the basis of the NDVI sequence, and if so, to
identify the NDVI factors contributing to the separation. The
90" percentile (P90) of the NDVI datasets were calculated in
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
order to determine a NDVI threshold value discriminating
photosynthetic activity of the characteristic wetland vegetation
species in the Dalhousie Springs from surrounding land
responses. Mean Monthly NDVI time traces were also
computed from the distinctive Melaleuca glomerata,
Phragmites australis and ephemeral vegetation NDVI values
recorded between 2002 and 2010.
In order to study the extent (in km?) of the vegetated wetland
area in the Dalhousie Springs Complex, the number of pixels
with NDVI values over the selected threshold was computed
and converted to area (Areaypy;, km?) of vegetated wetland for
each of the 16-day composite MODIS-Aqua images.
Complementary MODIS-Terra NDVI images between February
2000 and July 2002 were also processed to extend the period of
wetland area recording.
The intra and inter-annual patterns of the Areaypy; index were
then related to the seasonal wetland vegetation changes, as well
as to rainfall (mm) and groundwater flow discharge (L.s™) data
furnished respectively by the Australian Government Bureau of
Meteorology and the South Australian Department of
Environment and Natural Resources. As flow gauge data are
sparse and not available for the whole Dalhousie Springs,
comparisons between the vegetated wetland area and the
groundflow data were conducted at a large spring (DAAOI)
within DSC where flows were recorded between 2002 and 2010
(Figure 1c). Furthermore, as flow measurements are not
available regularly at this spring (1 or 2 measures/year),
comparison of mean annual discharge data and Areanpy, Were
performed. (Figure 1c, DAAO0O1). Finally, rainfall
measurements were selected from the Hamilton Station, the
closest meteorologic station to Dalhousie (~80 km west).
23 ken
30km
Figure 1: a) Extent of the Great Artesian Basin in Australia and location of the Dalhousie Spring Complex. b) Location of selected
pixels: Dalhousie Spring vegetation (P: Phragmites; M: Melaleuca; E: Ephemeral) and surrounding lands (S: Saline; U: Upland; R:
Riverine). c) Example of MODIS NDVI map. Spring discharge boundaries for the whole DSC and the spring DAAO001 are indicated
by blue and red lines, respectively. Boundaries are from White and Lewis (2011).
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