10.5061/DRYAD.50003
Tulbure, Mirela G.
UNSW Sydney
Broich, Mark
University of Technology Sydney
Data from: Spatiotemporal dynamic of surface water bodies using Landsat
time-series data from 1999 to 2011
Dryad
dataset
2014
n/a
Intra annual variability
Western Australia
Swan Coastal Plain
Surface water body detection time series
Optical remote sensing
Large area wetland inventory
Inter annual variability
Long term trends
Surface water body detection time series; Intra annual variability; Inter
annual variability; Optical remote sensing; Large area wetland inventory;
Swan Coastal Plain; Western Australia; Long term trends
2014-11-05T00:00:00Z
2014-11-05T00:00:00Z
en
https://doi.org/10.1016/j.isprsjprs.2013.01.010
51129972 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Detailed information on the spatiotemporal dynamic in surface water bodies
is important for quantifying the effects of a drying climate, increased
water abstraction and rapid urbanization on wetlands. The Swan Coastal
Plain (SCP) with over 1500 wetlands is a global biodiversity hotspot
located in the southwest of Western Australia, where more than 70% of the
wetlands have been lost since European settlement. SCP is located in an
area affected by recent climate change that also experiences rapid urban
development and ground water abstraction. Landsat TM and ETM+ imagery from
1999 to 2011 has been used to automatically derive a spatially and
temporally explicit time-series of surface water body extent on the SCP. A
mapping method based on the Landsat data and a decision tree
classification algorithm is described. Two generic classifiers were
derived for the Landsat 5 and Landsat 7 data. Several landscape metrics
were computed to summarize the intra and interannual patterns of surface
water dynamic. Top of the atmosphere (TOA) reflectance of band 5 followed
by TOA reflectance of bands 4 and 3 were the explanatory variables most
important for mapping surface water bodies. Accuracy assessment yielded an
overall classification accuracy of 96%, with 89% producer’s accuracy and
93% user’s accuracy of surface water bodies. The number, mean size, and
total area of water bodies showed high seasonal variability with highest
numbers in winter and lowest numbers in summer. The number of water bodies
in winter increased until 2005 after which a decline can be noted. The
lowest numbers occurred in 2010 which coincided with one of the years with
the lowest rainfall in the area. Understanding the spatiotemporal dynamic
of surface water bodies on the SCP constitutes the basis for understanding
the effect of rainfall, water abstraction and urban development on water
bodies in a spatially explicit way.
SCP_shapefiles
Swan Coastal Plain; Western Australia; Australia