XXII ISPRS Congress 2012: Technical Commission VII

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Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/1: PHYSICAL MODELLING AND SIGNATURES IN REMOTE SENSING]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: GEOSTATISTICAL ANALYSIS OF SURFACE TEMPERATURE AND IN-SITU SOIL MOISTURE USING LST TIME-SERIES FROM MODIS M. Sohrabinia, W. Rack and P Zawar-Reza

Document type:: Multivolume work

Structure type:: Chapter

rface 2011 time- rther € are > day lated for a and near- | sin- s are rated eLC e Ta- some owed eries ne of ower ‘heat ther- | SM land. r the There- es to ately. from | day ; this y (as ents sults LST Ising been 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. REFERENCES Bastiaanssen, W. G. M., 2000. SEBAL-based sensible and la- tent heat fluxes in the irrigated Gediz Basin, Turkey. Journal of Hydrology 229(1-2), pp. 87-100. Bhagat, V. S., 2009. Use of Landsat ETM+ data for detection of potential areas for afforestation. International Journal of Remote Sensing 30(10), pp. 2607-2617. Carlson, T. N., Gillies, R. R. and Perry, E. M., 1994. A method to make use of thermal infrared temperature and NDVI measure- ments to infer surface soil water content and fractional vegetation cover. Remote Sensing Reviews 9(1-2), pp. 161-173. Grabs, T., Seibert, J., Bishop, K. and Laudon, H., 2009. Model- ing spatial patterns of saturated areas: A comparison of the topo- graphic wetness index and a dynamic distributed model. Journal of Hydrology 373(12), pp. 15 — 23. Gruhier, C., de Rosnay, P., Hasenauer, S., Holmes, T., de Jeu, R., Kerr, Y., Mougin, E., Njoku, E., Timouk, E, Wagner, W. and Zribi, M., 2010. Soil moisture active and passive microwave products: intercomparison and evaluation over a Sahelian site. Hydrology and Earth System Sciences 14(1), pp. 141-156. Hain, C. R., Crow, W. T., Mecikalski, J. R., Anderson, M. C. and Holmes, T., 2011. An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling. J. Geophys. Res. 116(D15), pp. D15107-. Hassan, Q. K., Bourque, C. P.-A., Meng, E-R. and Cox, R. M,, 2007. A Wetness Index Using Terrain-Corrected Surface Temper- ature and Normalized Difference Vegetation Index Derived from Standard MODIS Products: An Evaluation of Its Use in a Hu- mid Forest-Dominated Region of Eastern Canada. Sensors 7(10), pp. 2028-2048. Jackson, T. J., Schmugge, J. and Engman, E. T., 1996. Remote sensing applications to hydrology: soil moisture. Hydrological Sciences Journal 41(4), pp. 517-530. LPDAAC, 2010. MODIS Reprojection Tool Swath User Manual. 47914 252nd Street Sioux Falls, SD 57198-0001 USA. 21 Rigo, G. and Parlow, E., 2005. Measurement and modeling of the ground heat flux in the city of Basel during BUBBLE by different methods. In: ISPRS Intl. Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI PART 8/W27. Rigo, G. and Parlow, E., 2007. Modelling the ground heat flux of an urban area using remote sensing data. Theoretical and Applied Climatology 90, pp. 185-199. 10.1007/s00704-006-0279-8. Sgrensen, R., Zinko, U. and Seibert, J., 2005. On the calculation of the topographic wetness index: evaluation of different meth- ods based on field observations. Hydrology and Earth System Sciences Discussions 2(4), pp. 1807-1834. Sun, D. and Pinker, R. T., 2004. Case study of soil moisture effect on land surface temperature retrieval. IEEE Geoscience and Remote Sensing Letters 1(2), pp. 127 — 130. Wan, Z., 1999. MODIS Land-Surface Temperature Algorithm Theoretical Basis Document: LST ATBD. Institute for Com- putational Earth System Science University of California, Santa Barbara, CA 93106-3060. Wan, Z., 2008. New refinements and validation of the MODIS Land-Surface Temperature/Emissivity products. Remote Sensing of Environment 112, pp. 59-74. Wan, Z. and Dozier, J., 1996. A generalized split-window algorithm for retrieving land-surface temperature from space. Geoscience and Remote Sensing, IEEE Transactions on 34(4), pp. 892 —905. Wan, Z., Zhang, Y., Zhang, Q. and Li, Z., 2004. Quality assess- ment and validation of the MODIS global land surface tempera- ture. International Journal of Remote Sensing 25, pp. 261-274. Wang, C., Qi, J., Moran, S. and Marsett, R., 2004. Soil moisture estimation in a semiarid rangeland using ERS-2 and TM imagery. Remote Sensing of Environment 90(2), pp. 178 — 189. Wang, L. and Qu, J., 2009. Satellite remote sensing applications for surface soil moisture monitoring: A review. Frontiers of Earth Science in China 3, pp. 237-247. Wilson, D. J., Western, A. W., Grayson, R. B., Berg, A. A., Lear, M. S., Rodell, M., Famiglietti, J. S., Woods, R. A. and McMahon, T. A., 2003. Spatial distribution of soil moisture over 6 and 30 cm depth, Mahurangi river catchment, New Zealand. Journal of Hydrology 276(14), pp. 254 — 274. Zhang, X., Tang, B., yuan Jia, Y. and Li, Z.-L., 2007. Estimation of bare surface soil moisture using geostationary satellite data. In: Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International, pp. 1931 —1934.

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