Combining ASTER Thermal Data and Spatial-Based Insolation Model for Identification of Geothermal Active Areas
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Combining ASTER Thermal Data and Spatial-Based Insolation Model for Identification of Geothermal Active Areas

Authors: Khalid Hussein, Waleed Abdalati, Pakorn Petchprayoon, Khaula Alkaabi

Abstract:

In this study, we integrated ASTER thermal data with an area-based spatial insolation model to identify and delineate geothermally active areas in Yellowstone National Park (YNP). Two pairs of L1B ASTER day- and nighttime scenes were used to calculate land surface temperature. We employed the Emissivity Normalization Algorithm which separates temperature from emissivity to calculate surface temperature. We calculated the incoming solar radiation for the area covered by each of the four ASTER scenes using an insolation model and used this information to compute temperature due to solar radiation. We then identified the statistical thermal anomalies using land surface temperature and the residuals calculated from modeled temperatures and ASTER-derived surface temperatures. Areas that had temperatures or temperature residuals greater than 2σ and between 1σ and 2σ were considered ASTER-modeled thermal anomalies. The areas identified as thermal anomalies were in strong agreement with the thermal areas obtained from the YNP GIS database. Also the YNP hot springs and geysers were located within areas identified as anomalous thermal areas. The consistency between our results and known geothermally active areas indicate that thermal remote sensing data, integrated with a spatial-based insolation model, provides an effective means for identifying and locating areas of geothermal activities over large areas and rough terrain.

Keywords: Thermal remote sensing, insolation model, land surface temperature, geothermal anomalies.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126173

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References:


[1] M. F. Coolbuagh, C. Kratt, A. Fallacaro, W. M. Calvin, and J. V. Taranik, “Detection of geothermal anomalies using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) thermal infrared images at Brady’s Hot Springs, Nevada, USA”, Remote Sensing of Environment, vol. 106, pp. 350-359, 2007.
[2] M. Eneva, M.Coolbaugh, S. Bjornstad, and J. Combs, “Detection of surface temperature anomalies in the Coso Geothermal Field using thermal infrared remote sensing. GRC Transaction”, vol. 31, pp. 335-340, 2007.
[3] M. Eneva, M. Coolbaugh, and J. Combs, “Application of satellite thermal infrared imagery to geothermal exploration in east central California. GRC Transaction” vol. 30, pp. 407-411, 2006.
[4] M. Eneva, and M. Coolbaugh, “Importance of elevation and temperature inversions for the interpretation of thermal infrared satellite images used in geothermal exploration”, GRC Transaction, vol. 33, pp. 467-470, 2009.
[5] R. G. Vaughan, L. P. Keszthelyi, J. B. Lowenstern, C. Jaworowski, and H. Heasler, “Use of ASTER and MODIS thermal infrared data to quantify heat flow and hydrothermal change at Yellowstone National Park”, Journal of Volcanology and Geothermal Research, vol. 233-234, pp. 72-79, 2012.
[6] A. Gillespie, S. Rokugawa, T. Matsunaga, S. J. Cothern, S. Hook, and B. A. Kahle, “A temperature and emissivity separation algorithm for Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images”, IEEE Transactions on Geoscience, vol. 30, no. 4, pp. 1113-1126, 1998.
[7] D. Anding, and R. Kauth, “Estimation of sea surface temperature from space”, Remote Sensing of Environment, vol. 1, pp. 217-220, 1970.
[8] I. J. Barton, “Transmission model and ground-truth investigation of satellite derived sea surface temperatures”, Climate and Applied Metrology, vol. 24, pp. 508-516, 1985.
[9] A. K. Kilpatrick, P. G., Podestfi, and R. Evans, “Overview of the NOAA/NASA advanced very high resolution radiometer Pathfinder algorithm for sea surface temperature and associated matchup database”, Geophysical Research, vol. 106, no. C5, 9179-9197, 2001.
[10] C. D. McConaghy, “Measuring sea surface temperature from satellites. Remote Sensing of Environment”, vol. 10, pp. 307-310, 1980.
[11] M. L. McMillin, and S. D. Crosby, “Theory and validation of the multiple window sea surface temperature technique”, Geophysical Research, vol. 89, no. C3, pp. 3655-3661, 1984.
[12] E. V. Noble, and C. J. Wilkerson, “Sea surface temperature mapping flights-Norwegian Sea, summer 1968’. Remote Sensing of Environment, vol. 1, pp. 187-193, 1970.
[13] C. Walton, “Satellite measurement of sea surface temperature in the presence of volcanic aerosols. Climate and Applied Meteorology”, vol. 24, no. 6, pp. 501-507, 1985.
[14] C. Prabhakara, G. Dalu, and G. V. Kunde, “Estimation of sea surface temperature from remote sensing in the 11- to 13-3µm window region”, Geophysical Research vol. 79, no. 33, pp. 5039-5044, 1974.
[15] S. P. Kealy, and J. S. Hook, “Separating temperature and emissivity in thermal infrared multispectral scanner data: Implications for recovering land surface temperatures”, IEEE Transactions on Geoscience and Remote Sensing, vol. 31, no. 6, pp. 1155-1164, 1993.
[16] J. S. Hook, R. A. Gabell, A. A. Green, and S. P. Kealy, “A comparison of techniques for extracting emissivity information from thermal infrared data for geologic studies”, Remote Sensing of Environment, vol. 42, pp. 123-135, 1992.
[17] S. Tang, Q. Zhu, X. Bai, S. Yang, Y. Shuai, and Q. Bu, “A TES algorithm based on corrected Alpha Difference Spectra” IEEE, pp. 450-4503, 2004.
[18] S. Tang, X. Li, J. Wang, Q. Zhu, and L. Zhang, “An improved TES based on the corrected ALPHA difference spectrum”, Science in China Series D-Earth Sciences, vol. 50, no. 2, pp. 274-282, 2007.
[19] P. Fu, and M. P. Rich, Design and implementation of the Solar Analyst: an ArcView extension for modeling solar radiation at landscape scales. Proceedings of the Nineteenth Annual ESRI User Conference, 1999.
[20] P. Fu, and M. P. Rich, “A Geometric Solar Radiation Model with Applications in Agriculture and Forestry. Computers and Electronics in Agriculture”, vol. 37, pp. 25–35, 2002.
[21] Spatial Analysis Center, “Yellowstone National Park. Hydrogeothermal Areas of Yellowstone National Park, Wyoming, Montana, Idaho (Unpublished work)”, Online-Linkage: \\inpyellgis2\data\yell_data\geothermal\y_thermarea, unpublished.
[22] C. A. Wood, and J. Kienle, “Volcanoes of North America: United States and Canada”: Cambridge University Press, contribution by Christiansen, R. L, 354 p, 1990.