期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Mapping Lunar Olivine Using Clementine Spectral Indices and Chemical Composition Parameters 被引量:2
1
作者 YUE Zongyu XIE Hongjie +1 位作者 DI Kaichang OUYANG Ziyuan 《Acta Geologica Sinica(English Edition)》 SCIE CAS CSCD 2012年第1期65-72,共8页
Olivine exposures at the central peak of Copernicus crater of the Earth's Moon have been confirmed by telescope observations and Clementine spectra data. Using these exposures as training sites, this study used a met... Olivine exposures at the central peak of Copernicus crater of the Earth's Moon have been confirmed by telescope observations and Clementine spectra data. Using these exposures as training sites, this study used a method of combining two spectral indices (950 nm/750 nm and 2000 nm/1500 nm), one maturity index (Is/FeO), and four chemical content indices (FeO, Mg, Al, Ca), through a decision tree classifier, to map olivine-rich units on the west lunar surface based on mosaicked Clementine image (500 m pixel size). Most classified olivine exposures are found inside craters or on their rays, suggesting that olivine exposures are directly associated with the impact processes. The results have been validated in several selected sites, though further validations with data from the newest missions are strongly needed. 展开更多
关键词 CLEMENTINE OLIVINE Copernicus crater
下载PDF
Evaluating and correcting rain effects on dual-frequency altimeter Jason-1 wind measurements
2
作者 周旋 杨晓峰 +3 位作者 郝玉龙 赵仕伟 于暘 李紫薇 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2013年第4期917-924,共8页
Rain is one of the main sources of error in dual-frequency altimeter Jason-1 wind measurement. In this study, a new radar altimeter backscatter model is proposed and validated to eliminate rain effects. The model take... Rain is one of the main sources of error in dual-frequency altimeter Jason-1 wind measurement. In this study, a new radar altimeter backscatter model is proposed and validated to eliminate rain effects. The model takes into account attenuation, volume backscattering, and sea surface perturbation by raindrops under rain conditions. A match-up dataset is built to evaluate rain effects, in combination with the Jason-1 normalized radar cross section, precipitation radar data from the Tropical Rainfall Measuring Mission, and sea surface wind reanalysis data from the European Centre for Medium-Range Weather Forecasts. The results show that rain-induced surface perturbation backscatter increases with rain rate at Ku-band, but their correlation at C-band is poor. In addition, rain surface perturbation and attenuation have major effects on radar altimeter wind measurements. Finally, a rain correction model for Jason-1 winds is developed and validation results prove its ability to reduce rain-induced inaccuracies in wind retrievals. 展开更多
关键词 ALTIMETER wind rain effects backscatter model rain correction
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部