The Study on Alteration Information Extraction of GF-5 Hyperspectral Data in Vegetation Coverage Area: A Case Study of the Yushui Copper Deposit in Guangdong Province

doi:10.19657/j.geoscience.1000-8527.2020.04.05

Abstract

Abstract:

GF-5 satellite is China’s first hyperspectral integrated observation satellite. Since the launch of GF-5 satellite in 2018, we did not found any studies reported on alteration information extraction. In this paper, GF-5 hyperspectral data were used as the main data source, and the MNF algorithm, PPI algorithm and SAM technology were used to extract the altered mineral information in the vegetation coverage area of the Yushui copper deposit in Guangdong Province. The altered minerals extracted in this study include hematite, goethite, kaolinite, montmorillonite and muscovite. Based on the known geological and mineral resources, the extracted information was analyzed and verified. The verification results show that the information on the altered minerals extracted from the study area is in good agreement with the geological information. In summary, GF-5 hyperspectral data is feasible for the alteration information extraction in this area, and has important guiding significance for copper exploration. At the same time, this study also provides reference for the future research of alteration information extraction of GF-5 hyperspectral data.

Key words: GF-5, hyperspectral, vegetation coverage area, altered mineral, alteration information extraction, copper deposit

CLC Number:

P627
TP79

LIAN Chenqin, YAO Fojun, CHEN Maohong, MA Kezhong, WANG Hailong. The Study on Alteration Information Extraction of GF-5 Hyperspectral Data in Vegetation Coverage Area: A Case Study of the Yushui Copper Deposit in Guangdong Province[J]. Geoscience, 2020, 34(04): 680-686.

Figures/Tables 9

Fig.1 Location of the study area

Table 1 The main technical parameters of the advanced hyper-spectral imager(AHSI)

光谱模块	波段数	波段范围/ μm	波段宽度/ nm	空间分辨率 /m	幅宽/ km
VNIR	150	0.4~ 0.9	5	30	60
SWIR	180	0.9~ 2.5	10	30	60

Fig.2 Images before and after atmospheric correction

Fig.3 Spectral curves of the altered minerals

Fig.4 Flow chart of alteration information extraction

Fig.5 The reflectance spectra of the endmembers extracted from the GF-5 hyperspectral image and that of the endmembers from the USGS spectral library

Fig.6 Extraction results of the alteration anomalies information

Fig.7 Overlapped result of the remote sensing alteration and the copper deposit

Fig.8 Quartz vein body and mineralized sample

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