Geothermal Energy
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-85040-1_276
Reference21 articles.
1. Agemar T, Schellschmidt R, Schulz R (2012) Subsurface temperature distribution in Germany. Geothermics 44:65–77. https://doi.org/10.1016/j.geothermics.2012.07.002
2. Franco A, Vaccaro M (2014) Numerical simulation of geothermal reservoirs for the sustainable design of energy plants: a review. Renew Sust Energ Rev 30:987–1002. https://doi.org/10.1016/j.rser.2013.11.041
3. Heriawan MN, Syafi’I AA, Saepuloh A, Kubo T, Koike K (2021) Detection of near-surface permeable zones based on spatial correlation between radon gas concentration and DTM-derived lineament density. Nat Resour Res 30:2989–3015. https://doi.org/10.1007/s11053-020-09718-z
4. Hoang NT, Koike K (2017) Transformation of Landsat imagery into pseudo-hyperspectral imagery by a multiple regression-based model with application to metal deposit-related minerals mapping. ISPRS J Photogramm Remote Sens 133:157–173. https://doi.org/10.1016/j.isprsjprs.2017.09.016
5. Hoang NT, Koike K (2018) Comparison of hyperspectral transformation accuracies of multispectral Landsat TM, ETM+, OLI and EO-1 ALI images for detecting minerals in a geothermal prospect area. ISPRS J Photogramm Remote Sens 137:15–28. https://doi.org/10.1016/j.isprsjprs.2018.01.007
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