Full text: Technical Commission VII (B7)

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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. 
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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