Detection of geothermal potential based on land surface temperature derived from remotely sensed and in-situ data

Detection of geothermal potential based on land surface temperature derived from remotely sensed and in-situ data

Geothermal energy is a renewable and environmentally sustainable resource of increasing importance. However, areas with geothermal potential are not easily detected by traditional field investigations, requiring the development of new, robust, and reliable models for detection. In this study, remote...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Fei Zhao, Zhiyan Peng, Jiangkang Qian, Chen Chu, Zhifang Zhao, Jiangqin Chao, Shiguang Xu
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Taylor & Francis Group 2024-07-01
Sarja:Geo-spatial Information Science
Aiheet:
Geothermal Detection Index (GDI)
geothermal potential
Principal Component Analysis (PCA)
Land Surface Temperature (LST)
Linkit:https://www.tandfonline.com/doi/10.1080/10095020.2023.2178335

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