Preliminary geological work, based on remote sensing analysis, using artificially enhanced satellite data

Bannari, A, Morin, D, Bonn, F & Huete, A 1995, ‘A review of vegetation indices’, Remote sensing reviews, vol. 13, no. (1–2), pp. 95–120. BannariA MorinD BonnF HueteA 1995 ‘A review of vegetation indices’ Remote sensing reviews 13 1–2 95 120 Search in Google Scholar

Baudet, D, Hanon, M, Lemonne, E, Theunissen, K, Buyagu, S, Dehandschutter, J, Ngizimana, W, Nsengiyumva, P, Rusanganwa, J & Tahon, A 1989, ‘Lithostratigraphie du domaine sédimentaire de la chaîne Kibarienne au Rwanda’, Annales de la Société géologique de Belgique, vol. 112. BaudetD HanonM LemonneE TheunissenK BuyaguS DehandschutterJ NgizimanaW NsengiyumvaP RusanganwaJ TahonA 1989 ‘Lithostratigraphie du domaine sédimentaire de la chaîne Kibarienne au Rwanda’ Annales de la Société géologique de Belgique 112 Search in Google Scholar

Bedini, E 2011, ‘Mineral mapping in the Kap Simpson complex, central East Greenland, using HyMap and ASTER remote sensing data’, Advances in Space Research, vol. 47, no. 1, pp. 60–73. BediniE 2011 ‘Mineral mapping in the Kap Simpson complex, central East Greenland, using HyMap and ASTER remote sensing data’ Advances in Space Research 47 1 60 73 Search in Google Scholar

Collins, CB, Beck, JM, Bridges, SM, Rushing, JA & Graves, SJ ‘Deep learning for multisensor image resolution enhancement’, Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery, pp. 37–44. CollinsCB BeckJM BridgesSM RushingJA GravesSJ ‘Deep learning for multisensor image resolution enhancement’ Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery 37 44 Search in Google Scholar

Crowley, J, Hubbard, B & Mars, J 2003, ‘Analysis of potential debris flow source areas on Mount Shasta, California, by using airborne and satellite remote sensing data’, Remote Sensing of Environment, vol. 87, no. 2–3, pp. 345–358. CrowleyJ HubbardB MarsJ 2003 ‘Analysis of potential debris flow source areas on Mount Shasta, California, by using airborne and satellite remote sensing data’ Remote Sensing of Environment 87 2–3 345 358 Search in Google Scholar

Gupta, RP 2017, Remote sensing geology, Springer, Heidelberg. GuptaRP 2017 Remote sensing geology Springer Heidelberg Search in Google Scholar

Hanon, M & Rusanganwa, J 1991, Carte Géologique du Rwanda, Feuille Kigali, 1: 100,000 et note explicative, Département de Géologie et de Minéralogie du Musée royal de l’Afrique Centrale et le Ministère de l’Industrie et de l’Artisanat du Rwanda, Tervuren. HanonM RusanganwaJ 1991 Carte Géologique du Rwanda, Feuille Kigali, 1: 100,000 et note explicative Département de Géologie et de Minéralogie du Musée royal de l’Afrique Centrale et le Ministère de l’Industrie et de l’Artisanat du Rwanda Tervuren Search in Google Scholar

Hulsbosch, N, van Daele, J, Reinders, N, Dewaele, S, Jacques, D & Muchez, P 2017, ‘Structural control on the emplacement of contemporaneous Sn-Ta-Nb mineralized LCT pegmatites and Sn bearing quartz veins: Insights from the Musha and Ntunga deposits of the Karagwe-Ankole Belt, Rwanda’, Journal of African Earth Sciences, vol. 134, pp. 24–32. HulsboschN van DaeleJ ReindersN DewaeleS JacquesD MuchezP 2017 ‘Structural control on the emplacement of contemporaneous Sn-Ta-Nb mineralized LCT pegmatites and Sn bearing quartz veins: Insights from the Musha and Ntunga deposits of the Karagwe-Ankole Belt, Rwanda’ Journal of African Earth Sciences 134 24 32 Search in Google Scholar

Kruse, FA, Lefkoff, A, Boardman, J, Heidebrecht, K, Shapiro, A, Barloon, P & Goetz, A 1993, ‘The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer data’, Remote sensing of environment, vol. 44, no. 2–3, pp. 145–163. KruseFA LefkoffA BoardmanJ HeidebrechtK ShapiroA BarloonP GoetzA 1993 ‘The spectral image processing system (SIPS)—interactive visualization and analysis of imaging spectrometer data’ Remote sensing of environment 44 2–3 145 163 Search in Google Scholar

Lary, DJ, Alavi, AH, Gandomi, AH & Walker, AL 2016, ‘Machine learning in geosciences and remote sensing’, Geoscience Frontiers, vol. 7, no. 1, pp. 3–10. LaryDJ AlaviAH GandomiAH WalkerAL 2016 ‘Machine learning in geosciences and remote sensing’ Geoscience Frontiers 7 1 3 10 Search in Google Scholar

Lupa, M, Adamek, K, Leśniak, A & Pršek, J 2020, ‘Application of satellite remote sensing methods in mineral prospecting in Kosovo, area of Selac’, Gospodarka Surowcami Mineralnymi, vol. 36, no. 1, pp. 5–22. LupaM AdamekK LeśniakA PršekJ 2020 ‘Application of satellite remote sensing methods in mineral prospecting in Kosovo, area of Selac’ Gospodarka Surowcami Mineralnymi 36 1 5 22 Search in Google Scholar

Mars, JC & Rowan, LC 2011, ‘ASTER spectral analysis and lithologic mapping of the Khanneshin carbonatite volcano, Afghanistan’, Geosphere, vol. 7, no. 1, pp. 276–289. MarsJC RowanLC 2011 ‘ASTER spectral analysis and lithologic mapping of the Khanneshin carbonatite volcano, Afghanistan’ Geosphere 7 1 276 289 Search in Google Scholar

van der Meer, FD, van der Werff, HM, van Ruitenbeek, FJ, Hecker, CA, Bakker, WH, Noomen, MF, van Der Meijde, M, Carranza, EJM, De Smeth, JB & Woldai, T 2012, ‘Multi- and hyperspectral geologic remote sensing: A review’, International Journal of Applied Earth Observation and Geoinformation, vol. 14, no. 1, pp. 112–128. van der MeerFD van der WerffHM van RuitenbeekFJ HeckerCA BakkerWH NoomenMF van Der MeijdeM CarranzaEJM De SmethJB WoldaiT 2012 ‘Multi- and hyperspectral geologic remote sensing: A review’ International Journal of Applied Earth Observation and Geoinformation 14 1 112 128 Search in Google Scholar

Parashar, C, Sharma, R, Chattoraj, S, Sengar, V & Champati Ray, P 2016, ‘Identification and mapping of minerals by using imaging spectroscopy in southeastern region of Rajasthan’, Conference: SPIE Asia-Pacific Remote Sensing, New Delhi, India. ParasharC SharmaR ChattorajS SengarV Champati RayP 2016 ‘Identification and mapping of minerals by using imaging spectroscopy in southeastern region of Rajasthan’ Conference: SPIE Asia-Pacific Remote Sensing New Delhi, India Search in Google Scholar

Rockwell, BW 2012, ‘Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado’, Scientific Investigations Map, US Geological Survey, Reston. RockwellBW 2012 ‘Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado’ Scientific Investigations Map US Geological Survey Reston Search in Google Scholar

Rockwell, BW 2013, ‘Automated mapping of mineral groups and green vegetation from Landsat Thematic Mapper imagery with an example from the San Juan Mountains, Colorado’, Scientific Investigations Map, US Geological Survey, Reston. RockwellBW 2013 ‘Automated mapping of mineral groups and green vegetation from Landsat Thematic Mapper imagery with an example from the San Juan Mountains, Colorado’ Scientific Investigations Map US Geological Survey Reston Search in Google Scholar

Ruisi, Z, Min, Z & Jianping, C 2011, ‘Study on Geological Structural Interpretation based on Worldview-2 Remote Sensing Image and Its Implementation’, Procedia Environmental Sciences, vol. 10, pp. 653–659. RuisiZ MinZ JianpingC 2011 ‘Study on Geological Structural Interpretation based on Worldview-2 Remote Sensing Image and Its Implementation’ Procedia Environmental Sciences 10 653 659 Search in Google Scholar

Sabins Jr, F 1986, Remote sensing: principles and interpretation, Chevron Oil Field Research Co, United States. SabinsFJr 1986 Remote sensing: principles and interpretation Chevron Oil Field Research Co United States Search in Google Scholar

Yousefi, SJ, Ranjbar, H, Alirezaei, S, Dargahi, S & Lentz, DR 2018, ‘Comparison of hydrothermal alteration patterns associated with porphyry Cu deposits hosted by granitoids and intermediate-mafic volcanic rocks, Kerman Magmatic Arc, Iran: Application of geological, mineralogical and remote sensing data’, Journal of African Earth Sciences, vol. 142, pp. 112–123. YousefiSJ RanjbarH AlirezaeiS DargahiS LentzDR 2018 ‘Comparison of hydrothermal alteration patterns associated with porphyry Cu deposits hosted by granitoids and intermediate-mafic volcanic rocks, Kerman Magmatic Arc, Iran: Application of geological, mineralogical and remote sensing data’ Journal of African Earth Sciences 142 112 123 Search in Google Scholar

Zhang, M, Su, W, Fu, Y, Zhu, D, Xue, J-H, Huang, J, Wang, W, Wu, J & Yao, C 2019, ‘Super-resolution enhancement of Sentinel-2 image for retrieving LAI and chlorophyll content of summer corn’, European Journal of Agronomy, vol. 111, article number 125938. ZhangM SuW FuY ZhuD XueJ-H HuangJ WangW WuJ YaoC 2019 ‘Super-resolution enhancement of Sentinel-2 image for retrieving LAI and chlorophyll content of summer corn’ European Journal of Agronomy 111 article number 125938. Search in Google Scholar

Zhang, Y, Tian, Y, Kong, Y, Zhong, B & Fu, Y 2018, ‘Residual Dense Network for Image Super-Resolution’, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2472–2481. ZhangY TianY KongY ZhongB FuY 2018 ‘Residual Dense Network for Image Super-Resolution’ in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2472 2481 Search in Google Scholar

Zhong, J, Yang, B, Huang, G, Zhong, F & Chen, Z 2016, ‘Remote sensing image fusion with convolutional neural network’, Sensing and Imaging, vol. 17, pp. 1–16. ZhongJ YangB HuangG ZhongF ChenZ 2016 ‘Remote sensing image fusion with convolutional neural network’ Sensing and Imaging 17 1 16 Search in Google Scholar