Geothermal Area Analysis

Chapter Contents (Back)
Geothermal. Includes various analysis and detection methods. Also geothermal energy systems.

Tian, B.[Bingwei], Wang, L.[Ling], Kashiwaya, K.[Koki], Koike, K.[Katsuaki],
Combination of Well-Logging Temperature and Thermal Remote Sensing for Characterization of Geothermal Resources in Hokkaido, Northern Japan,
RS(7), No. 3, 2015, pp. 2647-2667.
DOI Link 1504

Xu, X., Sandwell, D.T., Tymofyeyeva, E., González-Ortega, A., Tong, X.,
Tectonic and Anthropogenic Deformation at the Cerro Prieto Geothermal Step-Over Revealed by Sentinel-1A InSAR,
GeoRS(55), No. 9, September 2017, pp. 5284-5292.
Global Positioning System, Sentinel-1A InSAR, Sentinel-1A satellite, imperial faults, land subsidence, tectonic deformation, BibRef

Mia, M.B.[Md. Bodruddoza], Fujimitsu, Y.[Yasuhiro], Nishijima, J.[Jun],
Monitoring of Thermal Activity at the Hatchobaru-Otake Geothermal Area in Japan Using Multi-Source Satellite Images: With Comparisons of Methods, and Solar and Seasonal Effects,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810

Hoang, N.T.[Nguyen Tien], Koike, K.[Katsuaki],
Comparison of hyperspectral transformation accuracies of multispectral Landsat TM, ETM+, OLI and EO-1 ALI images for detecting minerals in a geothermal prospect area,
PandRS(137), 2018, pp. 15-28.
Elsevier DOI 1802
Hyperion image, Hyperspectral transformation, Reflectance spectrum, Multiple linear regression model, Mineral mapping BibRef

Reinisch, E.C.[Elena C.], Cardiff, M.[Michael], Akerley, J.[John], Warren, I.[Ian], Feigl, K.L.[Kurt L.],
Spatio-Temporal Analysis of Deformation at San Emidio Geothermal Field, Nevada, USA Between 1992 and 2010,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909

González, D.L.[David Lago], Rodríguez-Gonzálvez, P.[Pablo],
Detection of Geothermal Potential Zones Using Remote Sensing Techniques,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910

Silvestri, M.[Malvina], Marotta, E.[Enrica], Buongiorno, M.F.[Maria Fabrizia], Avvisati, G.[Gala], Belviso, P.[Pasquale], Sessa, E.B.[Eliana Bellucci], Caputo, T.[Teresa], Longo, V.[Vittorio], de Leo, V.[Vito], Teggi, S.[Sergio],
Monitoring of Surface Temperature on Parco delle Biancane (Italian Geothermal Area) Using Optical Satellite Data, UAV and Field Campaigns,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Silvestri, M.[Malvina], Romaniello, V.[Vito], Hook, S.[Simon], Musacchio, M.[Massimo], Teggi, S.[Sergio], Buongiorno, M.F.[Maria Fabrizia],
First Comparisons of Surface Temperature Estimations between ECOSTRESS, ASTER and Landsat 8 over Italian Volcanic and Geothermal Areas,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001

Blázquez, C.S.[Cristina Sáez], García, P.C.[Pedro Carrasco], Nieto, I.M.[Ignacio Martín], Maté-González, M.Á.[Miguel Ángel], Martín, A.F.[Arturo Farfán], González-Aguilera, D.[Diego],
Characterizing Geological Heterogeneities for Geothermal Purposes through Combined Geophysical Prospecting Methods,
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Nieto, I.M.[Ignacio Martín], Borge-Diez, D.[David], Blázquez, C.S.[Cristina Sáez], Martín, A.F.[Arturo Farfán], González-Aguilera, D.[Diego],
Study on Geospatial Distribution of the Efficiency and Sustainability of Different Energy-Driven Heat Pumps Included in Low Enthalpy Geothermal Systems in Europe,
RS(12), No. 7, 2020, pp. xx-yy.
DOI Link 2004

Reinisch, E.C.[Elena C.], Ali, S.T.[S. Tabrez], Cardiff, M.[Michael], Kaven, J.O.[J. Ole], Feigl, K.L.[Kurt L.],
Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004-2016,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Cigna, F.[Francesca], Tapete, D.[Deodato], Garduño-Monroy, V.H.[Víctor Hugo], Muñiz-Jauregui, J.A.[Jesús Arturo], García-Hernández, O.H.[Oscar Humberto], Jiménez-Haro, A.[Adrián],
Wide-Area InSAR Survey of Surface Deformation in Urban Areas and Geothermal Fields in the Eastern Trans-Mexican Volcanic Belt, Mexico,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910

Cavur, M.[Mahmut], Moraga, J.[Jaime], Duzgun, H.S.[H. Sebnem], Soydan, H.[Hilal], Jin, G.[Ge],
Displacement Analysis of Geothermal Field Based on PSInSAR And SOM Clustering Algorithms A Case Study of Brady Field, Nevada USA,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102

Bunker, J.[Jesse], Nagisetty, R.M.[Raja M.], Crowley, J.[Jeremy],
sUAS Remote Sensing to Evaluate Geothermal Seep Interactions with the Yellowstone River, Montana, USA,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101

Zhao, W.B.[Wen-Bo], Dong, Q.[Qing], Chen, Z.[Zhe], Feng, T.[Tao], Wang, D.[Dong], Jiang, L.W.[Liang-Wen], Du, S.[Shihui], Zhang, X.Y.[Xiao-Yu], Meng, D.L.[De-Li], Bian, M.[Min], Chen, J.P.[Jian-Ping],
Weighted Information Models for the Quantitative Prediction and Evaluation of the Geothermal Anomaly Area in the Plateau: A Case Study of the Sichuan-Tibet Railway,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Rahmati, A.R., Moradzadeh, A., Pahlavani, P., Rahmani, M.R.,
Using Index and Cumulative Overlay Analyses to Determine Geothermal Potential Targets in Damavand Region,
DOI Link 1912

Qiao, Y.L.[Yu-Liang], Zhao, S.M.[Shang-Min], Fang, Y.[Yue],
Methodology Research in Exploring Geothermal Resources by Using Infrared Remote Sensing,

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Landslide Analysis, Earthquake Related, Seismic Analysis .

Last update:Jun 14, 2021 at 09:20:36