Been implemented in the present study to detect the prospective regions of hydrothermal mineral sources. Evidential layers ML-SA1 Data Sheet represent HAZs derived from different multispectral sensors as well as lineament density have been combined to reveal the potential areas of HAZs in the CED. Applying remote sensing data successfully delineated the HAZs and characterized the hydrothermal mineral assemblages connected with gold-sulfide mineralization that happen to be constant with places of intense hydrothermal alterations that were validated by field and lab analysis. The detected key-hydrothermal alteration minerals are kaolinite, smecktite, silica, calcite, and PSB-603 supplier chlorite that reveal phyllic, argillic, and propylitic alterations.Author Contributions: M.A. conceived and created the manuscript; M.A. collected, processed, and analyzed the data, and performed the proposed techniques; M.A. interpreted and discussed the outcomes; M.A. and N.A.-A. wrote, edited, and revised the manuscript; M.A. handled the submission actions. All authors have read and agreed towards the published version of your manuscript. Funding: This investigation received no external funding. Institutional Assessment Board Statement: Not applicable. Informed Consent Statement: Not applicable. Information Availability Statement: The satellite photos employed within 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 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 of 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 Analysis, King Saud University for support by means 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 Creating 3D Data from GF-7 DataJingyuan Wang 1,two , Xinli Hu 1,2,3, , Qingyan Meng 1,two,three , Linlin Zhang 1,two,3 , Chengyi Wang 1,2 , Xiangchen Liu 1,two and Maofan Zhao 1,2Aerospace Facts Study 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 Crucial Laboratory of Earth Observation of Hainan Province, Hainan Investigation 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 Approach to Extract Developing 3D Details from GF-7 Data. 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) info of buildings can describe the horizontal and vertical development of a city. The GaoFen-7 (GF-7) stereo-mapping satellite can supply multi-view and multi-spectral satellite photos, which can clearly describe the fine spatial particulars within urban places, although the feasi.
