Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2020GL090497 |
Probing Venus Surface Iron Contents with Six‐Band VNIR Spectroscopy from Orbit | |
M. D. Dyar; J. Helbert; A. Maturilli; N. T. Mueller; D. Kappel | |
2020-10-29 | |
发表期刊 | Geophysical Research Letters
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出版年 | 2020 |
英文摘要 | Machine learning models enable interpretation of orbital spectral measurements of Venus using laboratory calibration data collected at Venus surface temperatures. Partial least squares models show that total iron content can be accurately predicted using data from the six bands (two in the 1.02 μm window). Prediction errors on total wt% FeO are ±0.50 for common sub‐alkaline volcanic rocks. Accuracy is ±0.42 for wt% FeO in alkaline rocks, and ±2.47 for all 18 igneous samples studied to date. These robust capabilities will allow discrimination of basalt versus rhyolite/granite and elucidate the rock type of the enigmatic tessera terrain on Venus. |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/301837 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | M. D. Dyar,J. Helbert,A. Maturilli,等. Probing Venus Surface Iron Contents with Six‐Band VNIR Spectroscopy from Orbit[J]. Geophysical Research Letters,2020. |
APA | M. D. Dyar,J. Helbert,A. Maturilli,N. T. Mueller,&D. Kappel.(2020).Probing Venus Surface Iron Contents with Six‐Band VNIR Spectroscopy from Orbit.Geophysical Research Letters. |
MLA | M. D. Dyar,et al."Probing Venus Surface Iron Contents with Six‐Band VNIR Spectroscopy from Orbit".Geophysical Research Letters (2020). |
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