干旱区生态环境知识资源中心(Arid): Estimation of the Relative Abundance of Quartz to Clay Minerals Using the Visible-Near-Infrared-Shortwave-Infrared Spectral Region

Arid

DOI	10.1177/0003702821998302
	Estimation of the Relative Abundance of Quartz to Clay Minerals Using the Visible-Near-Infrared-Shortwave-Infrared Spectral Region
	Francos, Nicolas; Notesco, Gila; Ben-Dor, Eyal
通讯作者	Francos, N (corresponding author), Tel Aviv Univ, Dept Geog & Human Environm, Zelig 10, IL-69978 Tel Aviv, Israel.
来源期刊	APPLIED SPECTROSCOPY
ISSN	0003-7028
EISSN	1943-3530
出版年	2021
卷号	75 期号:7 页码:882-892
英文摘要	Quartz is the most abundant mineral on the earth's surface. It is spectrally active in the longwave infrared (LWIR) region with no significant spectral features in the optical domain, i.e., visible-near-infrared-shortwave-infrared (Vis-NIR-SWIR) region. Several space agencies are planning to mount optical image spectrometers in space, with one of their missions being to map raw materials. However, these sensors are active across the optical region, making the spectral identification of quartz mineral problematic. This study demonstrates that indirect relationships between the optical and LWIR regions (where quartz is spectrally dominant) can be used to assess quartz content spectrally using solely the optical region. To achieve this, we made use of the legacy Israeli soil spectral library, which characterizes arid and semiarid soils through comprehensive chemical and mineral analyses along with spectral measurements across the Vis-NIR-SWIR region (reflectance) and LWIR region (emissivity). Recently, a Soil Quartz Clay Mineral Index (SQCMI) was developed using mineralrelated emissivity features to determine the content of quartz, relative to clay minerals, in the soil. The SQCMI was highly and significantly correlated with the Vis-NIR-SWIR spectral region (R-2 = 0.82, root mean square error (RMSE) = 0.01, ratio of performance to deviation (RPD) = 2.34), whereas direct estimation of the quartz content using a gradient-boosting algorithm against the Vis-NIR-SWIR region provided poor results (R-2 = 0.45, RMSE = 15.63, RPD = 1.32). Moreover, estimation of the SQCMI value was even more accurate when only the 2000-2450 nm spectral range (atmospheric window) was used (R-2 = 0.9, RMSE = 0.005, RPD = 1.95). These results suggest that reflectance data across the 20002450 nm spectral region can be used to estimate quartz content, relative to clay minerals in the soil satisfactorily using hyperspectral remote sensing means.
英文关键词	Soil spectroscopy quartz clay minerals visible-near-infrared-shortwave-infrared Vis-NIR-SWIR gradient boosting machine learning data analysis longwave infrared LWIR thermal remote sensing soil spectral library
类型	Article
语种	英语
开放获取类型	Green Published, hybrid
收录类别	SCI-E
WOS记录号	WOS:000669238800012
WOS关键词	REFLECTANCE SPECTROSCOPY ; SOILS ; MODEL
WOS类目	Instruments & Instrumentation ; Spectroscopy
WOS研究方向	Instruments & Instrumentation ; Spectroscopy
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/367983
作者单位	[Francos, Nicolas; Notesco, Gila; Ben-Dor, Eyal] Tel Aviv Univ, Fac Exact Sci, Porter Sch Environm & Earth Sci, Geog Dept,Remote Sensing Lab, Tel Aviv, Israel
推荐引用方式 GB/T 7714	Francos, Nicolas,Notesco, Gila,Ben-Dor, Eyal. Estimation of the Relative Abundance of Quartz to Clay Minerals Using the Visible-Near-Infrared-Shortwave-Infrared Spectral Region[J],2021,75(7):882-892.
APA	Francos, Nicolas,Notesco, Gila,&Ben-Dor, Eyal.(2021).Estimation of the Relative Abundance of Quartz to Clay Minerals Using the Visible-Near-Infrared-Shortwave-Infrared Spectral Region.APPLIED SPECTROSCOPY,75(7),882-892.
MLA	Francos, Nicolas,et al."Estimation of the Relative Abundance of Quartz to Clay Minerals Using the Visible-Near-Infrared-Shortwave-Infrared Spectral Region".APPLIED SPECTROSCOPY 75.7(2021):882-892.