The synergistic use of WorldView-3 and EO1-Hyperion data for the identification of lineaments and hydrothermal alteration minerals in the Chadormalu iron oxide-apatite deposit area, Central Iran
Karimzadeh S. Tangestani M.H. Fonseca A.
September 2023Springer Science and Business Media Deutschland GmbH
Earth Science Informatics
2023#16Issue 32573 - 2593 pp.
Hyperspectral and high spatial resolution sensors allow for better discrimination of geological features and combining the products of these two kinds of sensors hypothetically improves this task. We evaluated the synergies of WorldView-3 (WV-3) and Hyperion datasets by fusing them to get a spatially enhanced hyperspectral dataset for mapping hydrothermal alteration minerals of Chadormalu iron oxide-apatite deposit area, in Central Iran. Due to the fact that faults and hydrothermal alteration minerals are inseparable phenomena for mineral exploration, lineaments of the study area were extracted manually and automatically using ALOS World 3D—30 m (AW3D30) and WV-3 data respectively. Subsequently, the alteration minerals were mapped by the use of Mixture Tuned Matched Filtering (MTMF) partial unmixing method on the WV-3, Hyperion, and their fused dataset. Results revealed that fusion of Hyperion and WV-3 data provides higher model accuracies than using solely one sensor dataset. Hyperion and Hyperion- WV-3 fused datasets reached 59.15% and 66. 41% overall accuracies as comparing to WV-3 MTMF mineral map for concentrations greater than 50%. This study introduced two prospecting areas of iron ore by matching the lineaments and alteration mineral maps. Furthermore, it was revealed that WV-3 data can discriminate the rock units and their approximate geometry in messy and stripy active open-pit which are concordant with the 1:1000 lithological map. Importantly, ground truthing and field validation, reflectance spectroscopy, TSG analysis, and X-ray diffraction (XRD) supported the results of this research. Findings of this research stated the potential use of WV-3 and Hyperion data as well as their fusion for lineament and mineralogical discriminations to further develop new hyperspectral image processing approach and making synthetic high spatio-spectral dataset.
ALOS World 3D-30 m , Data fusion , Hyperspectral imagery , Lineaments and alteration mapping , Multispectral , Spectral un-mixing
Text of the article Перейти на текст статьи
Department of Earth Sciences, Faculty of Sciences, Shiraz University, Shiraz, Iran
SRK Consulting, SRK Almaty, 14th Floor 77 Kunayev St., Park View Office Tower, Almaty, 050010, Kazakhstan
Department of Earth Sciences
SRK Consulting
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026