Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 17-21, 2012
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/17/2012/
doi:10.5194/isprsarchives-XXXIX-B7-17-2012
© Author(s) 2012. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Jul 2012
GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS
M. Sohrabinia1, W. Rack2, and P. Zawar-Reza1 1Department of Geography, Atmospheric Research Centre, University of Canterbury Christchurch, New Zealand
2Gateway Antarctica, Centre for Antarctic Studies & Research, University of Canterbury Christchurch, New Zealand
Keywords: MODIS, MODIS LST, skin temperature, near-surface soil moisture, land cover, geostatistics, time-series Abstract. The objective of this analysis is to provide a quantitative estimate of the fluctuations of land surface temperature (LST) with varying near surface soil moisture (SM) on different land-cover (LC) types. The study area is located in the Canterbury Plains in the South Island of New Zealand. Time series of LST from the MODerate resolution Imaging Spectro-radiometer (MODIS) have been analysed statistically to study the relationship between the surface skin temperature and near-surface SM. In-situ measurements of the skin temperature and surface SM with a quasi-experimental design over multiple LC types are used for validation. Correlations between MODIS LST and in-situ SM, as well as in-situ surface temperature and SM are calculated. The in-situ measurements and MODIS data are collected from various LC types. Pearson’s r correlation coefficient and linear regression are used to fit the MODIS LST and surface skin temperature with near-surface SM. There was no significant correlation between time-series of MODIS LST and near-surface SM from the initial analysis, however, careful analysis of the data showed significant correlation between the two parameters. Night-time series of the in-situ surface temperature and SM from a 12 hour period over Irrigated-Crop, Mixed-Grass, Forest, Barren and Open- Grass showed inverse correlations of -0.47, -0.68, -0.74, -0.88 and -0.93, respectively. These results indicated that the relationship between near-surface SM and LST in short-terms (12 to 24 hours) is strong, however, remotely sensed LST with higher temporal resolution is required to establish this relationship in such time-scales. This method can be used to study near-surface SM using more frequent LST observations from a geostationary satellite over the study area.
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Citation: Sohrabinia, M., Rack, W., and Zawar-Reza, P.: GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B7, 17-21, doi:10.5194/isprsarchives-XXXIX-B7-17-2012, 2012.

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