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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
reported by other works in the literature (Wilson et al., 2003).
This implies that the study of SM based on remotely sensed LST
using a statistical method can be possible if there is higher num-
ber of observations available for a single day. Currently such
a dataset is only available from the geostationary satellites such
as the Spinning Enhanced Visible and Infrared Imager (SEVIRI)
on-board the Meteosat Second Generation (MSG) satellite. How-
ever, limitations with geostationary sensors include poor spatial
resolution and high view angles for parts of the globe such as
New Zealand. Nevertheless, considering the results from this pa-
per, the authors look forward to the possibility of using a geosta-
tionary satellite data for a further analysis similar to the objective
of this paper.
ACKNOWLEDGEMENTS
This research is conducted under funding and support of the Uni-
versity of Canterbury in New Zealand. The authors would like to
thank Justin Harrison for his help in the field experiment which
was conducted for this research. We also acknowledge Graeme
Plank from the Physics Department for providing us the climate
data, as well as permission for setting up our instrument in the
Birdlings Flat site. Access to the NASA's MODIS LST data is
also appreciated; we used Reverb tool to download this data.
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