Been implemented in the present study to detect the prospective locations of hydrothermal mineral resources. Evidential layers represent HAZs derived from diverse multispectral sensors in conjunction with lineament density were combined to reveal the prospective locations of HAZs within the CED. Applying remote sensing information effectively delineated the HAZs and characterized the hydrothermal mineral assemblages related with gold-sulfide mineralization which can be consistent with areas of intense hydrothermal alterations that had been validated by field and lab evaluation. The detected key-hydrothermal alteration minerals are kaolinite, smecktite, silica, calcite, and chlorite that reveal phyllic, argillic, and propylitic alterations.Author Contributions: M.A. conceived and developed the manuscript; M.A. collected, processed, and analyzed the data, and performed the proposed methods; M.A. interpreted and discussed the results; M.A. and N.A.-A. wrote, edited, and revised the manuscript; M.A. handled the submission methods. All authors have read and agreed for the published version of your manuscript. Funding: This research received no external funding. Institutional Evaluation Board Statement: Not applicable. Informed Consent Statement: Not applicable. Information Availability Statement: The satellite photos utilized in this study are obtained from http:// earthexplorer.usgs.gov and https://www.usgs.gov (USGS GloVis). Acknowledgments: We thank the editor and the two anonymous reviewers for their contributions to enhancing the manuscript. The authors would like to thank El-Shazly, A. K. Division of Geology, Marshall University for his constructive comments and editing/reviewing the draft on the manuscript. We also thank Farouk El-Baz, Boston University for his continuous encouragement of this study. The authors would like to extend their sincere appreciation to the Deanship of Scientific Investigation, King Saud University for support through Vice Deanship of Scientific Investigation Chairs. Conflicts of Interest: The authors declare no conflict of interest.Remote Sens. 2021, 13,18 of
remote sensingArticleDeveloping a Technique to Extract Developing 3D Information from GF-7 DataJingyuan Wang 1,2 , Xinli Hu 1,two,three, , Qingyan Meng 1,2,three , Linlin Zhang 1,two,3 , Chengyi Wang 1,two , Xiangchen Liu 1,2 and Maofan Zhao 1,2Aerospace Facts Research Institute, Chinese RP101988 Epigenetics Academy of Sciences, Beijing 100094, China; [email protected] (J.W.); [email protected] (Q.M.); [email protected] (L.Z.); [email protected] (C.W.); [email protected] (X.L.); [email protected] (M.Z.) University of Chinese Academy of Sciences, Beijing 100049, China Important Laboratory of Earth Observation of Hainan Province, Hainan Research Institute, Aerospace Information Investigation Institute, Chinese Academy of Sciences, Sanya 572029, China Correspondence: [email protected]; Tel.: 86-010-6485-Citation: Wang, J.; Hu, X.; Meng, Q.; Zhang, L.; Wang, C.; Liu, X.; Zhao, M. Creating a Technique to Extract Creating 3D Details from GF-7 Information. Remote Sens. 2021, 13, 4532. https://doi.org/10.3390/rs13224532 Academic Editor: Sander Oude Elberink Received: 16 September 2021 Accepted: 1 November 2021 Published: 11 NovemberAbstract: The three-dimensional (3D) facts of buildings can describe the horizontal and vertical improvement of a city. The Compound 48/80 In Vitro GaoFen-7 (GF-7) stereo-mapping satellite can present multi-view and multi-spectral satellite images, which can clearly describe the fine spatial details inside urban places, when the feasi.
