Been implemented in the present study to detect the potential places of hydrothermal mineral sources. Evidential layers represent HAZs derived from distinct multispectral sensors in conjunction with lineament density have been combined to reveal the potential regions of HAZs in the CED. Applying remote sensing data effectively delineated the HAZs and characterized the hydrothermal mineral assemblages BMS-986094 manufacturer connected with gold-sulfide mineralization that happen to be consistent with areas of intense hydrothermal alterations that have 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 information, and performed the proposed solutions; 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 PSB-603 supplier authors have read and agreed towards the published version on the manuscript. Funding: This analysis received no external funding. Institutional Overview Board Statement: Not applicable. Informed Consent Statement: Not applicable. Data Availability Statement: The satellite images employed in this study are obtained from http:// earthexplorer.usgs.gov and https://www.usgs.gov (USGS GloVis). Acknowledgments: We thank the editor and also the two anonymous reviewers for their contributions to improving the manuscript. The authors would prefer to thank El-Shazly, A. K. Division of Geology, Marshall University for his constructive comments and editing/reviewing the draft with the manuscript. We also thank Farouk El-Baz, Boston University for his continuous encouragement of this study. The authors would prefer to extend their sincere appreciation for the Deanship of Scientific Study, King Saud University for support by way of Vice Deanship of Scientific Study Chairs. Conflicts of Interest: The authors declare no conflict of interest.Remote Sens. 2021, 13,18 of
remote sensingArticleDeveloping a Strategy to Extract Constructing 3D Details from GF-7 DataJingyuan Wang 1,two , Xinli Hu 1,two,three, , Qingyan Meng 1,2,three , Linlin Zhang 1,2,3 , Chengyi Wang 1,two , Xiangchen Liu 1,two and Maofan Zhao 1,2Aerospace Information Analysis Institute, Chinese 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 Key Laboratory of Earth Observation of Hainan Province, Hainan Analysis Institute, Aerospace Information Study 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. Establishing a Approach to Extract Creating 3D Data 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) data of buildings can describe the horizontal and vertical development of a city. The GaoFen-7 (GF-7) stereo-mapping satellite can present multi-view and multi-spectral satellite photos, which can clearly describe the fine spatial details inside urban areas, although the feasi.