An integrated approach for extraction of lithology information using the SPOT 6 imagery in a heavily Quaternary‐covered region—North Baoji District of China. (20th November 2017)

• Record Type: Journal Article
• Authors: Han, Ling; Zhao, Bo; Wu, Jian‐Jian; Zhang, Shu‐Yuan; Pilz, Jürgen; Yang, Fan
• Editors: Li, R.
• Other Names: Li S. guestEditor.; Suo Y. guestEditor.; Li R. guestEditor.; Yu S. guestEditor.; Yang G. guestEditor.; Somerville I. guestEditor.
• Is Part Of: Geological journal. Volume 53(2018)Supplement 1
• Page Start: 352
• Page End: 363
• Publication Date: 2017-11-20
• Subjects: accuracy -- fractal DN‐N algorithm -- loess coverage -- red sandstone; Geology -- Periodicals; 551
• DOI: 10.1002/gj.3061
• Languages: English
• ISSNs: 0072-1050

Abstract

Abstract : We studied the applicability of SPOT (Systeme Probatoire d'Observation de la Terre) 6 satellite imagery for red sandstone interpretation in the heavily loess‐covered northern Baoji District, China, which is always a crucial but challenging issue in remote sensing geological mapping. First, the non‐ or sparsely vegetated subareas were outlined in order to narrow the interpretation target area; second, band‐math and the fractal "DN‐N" (digital number‐frequency) algorithm was conducted to extract the sandstone‐associated anomalies; third, a series of spatial analysis, for example, overlaying and clumping, was employed for elimination of the false anomalies; finally, we took advantage of matched filtering to discern the non‐ (red) sandstone outcrops in local areas. Generally, the interpretation accuracy based on this novel technical proposal is acceptable—74% or slightly less (taking the geological sketch as reference criteria)—and can be well proven by field investigation. This study may have contributed a useful case study for remote‐sensing lithological mapping in the Quaternary‐covered areas.