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Envisat卫星小述
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《遥感信息》 CSCD 2005年第4期65-65,共1页
Envisat是2002年发射,它是现有最大的对地观测卫星.它携带十个尖端的光学和雷达传感器,能连续提供对陆地、大气、海洋、冰盖的监测图像和数据,它所携带的高级合成孔径雷达(ASAR)运行在C波段以保证ERS-2后的数据连续性。中分辨率... Envisat是2002年发射,它是现有最大的对地观测卫星.它携带十个尖端的光学和雷达传感器,能连续提供对陆地、大气、海洋、冰盖的监测图像和数据,它所携带的高级合成孔径雷达(ASAR)运行在C波段以保证ERS-2后的数据连续性。中分辨率影像分光计(MERIS)是用来测量来自地球的太阳辐射,它的地面分辨率300m,15个可见光谱波段和近红外波段,并且在宽度和位置上可偏程。MERIS的主要任务是测量海洋水色, 展开更多
关键词 对地观测卫星 Envisat卫星 分辨率 可见光谱波段 近红外波段
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Remote Sensing Retrieval of Surface Suspended Sediment Concentration in the Yellow River Estuary 被引量:5
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作者 ZHAN Chao YU Junbao +4 位作者 WANG Qing LI Yunzhao ZHOU Di XING Qinghui CHU Xiaojing 《Chinese Geographical Science》 SCIE CSCD 2017年第6期934-947,共14页
Accurate assessment of surface suspended sediment concentration (SSSC) in estuary is essential to address several important issues: erosion, water pollution, human health risks, etc. In this study, an empirical cub... Accurate assessment of surface suspended sediment concentration (SSSC) in estuary is essential to address several important issues: erosion, water pollution, human health risks, etc. In this study, an empirical cubic retrieval model was developed for the retrieval of SSSC from Yellow River Estuary. Based on sediments and seawater collected from the Yellow River and southeastern Laizhou Bay, SSSC conditions were reproduced in the laboratory at increasing concentrations within a range common to field observations. Continu- ous spectrum measurements of the various SSSCs ranging from 1 to 5700 mg/1 were carried out using an AvaField-3 spectrometer. The results indicated the good correlation between water SSSC and spectral reflectance (Rrs) was obtained in the spectral range of 726-900 nm. At SSSC greater than 2700 mg/L, the 740-900 nm spectral range was less susceptible to the effects of spectral reflectance saturation and more suitable for retrieval of high sediment concentrations. The best correlations were obtained for the reflectance ratio of 820 nm to 490 nm. Informed by the correlation between Rrs and SSSC, a retrieval model was developed (R2 = 0.992). The novel cubic model, which used the ratio of a near-infrared (NIR) band (740-900 nm) to a visible band (400-600 nm) as factors, provided robust quantifica- tion of high SSSC water samples. Two high SSSC centers, with an order of 103 mg/1, were found in the inversion results around the abandoned Diaokou River mouth, the present Yellow River mouth to the abandoned Qingshuigou River mouth. There was little sedi- ment exchange between the two high SSSC centers due to the directions of the residual currents and vertical mixing. 展开更多
关键词 surface suspended sediment concentration (SSSC) water spectral reflectance cubic model quantitative remote sensinginversion Yellow River Estuary
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Optical Absorption and Refractive Index Study of Ti: Al2O3 Single Crystal
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作者 Hamdan Hadi Kusuma Zuhairi Ibrahim Mohamad Khairi Saidin 《Journal of Chemistry and Chemical Engineering》 2010年第5期59-62,共4页
The optical absorption of Ti:Al2O3 single crystal has been measured at room temperature, in the wavelength region between 200 nm and 800 nm. The main absorption peaks at 491 nm and 562 nm, the weak infrared absorptio... The optical absorption of Ti:Al2O3 single crystal has been measured at room temperature, in the wavelength region between 200 nm and 800 nm. The main absorption peaks at 491 nm and 562 nm, the weak infrared absorption band with a peak at 650 nm and the strong UV absorption band below 300 nm were observed. The refractive index is discussed by using Fresnel's equation. In particular, the Sellmeier equation was determined in the visible region by means on non-conventional method based on the measurement of refraction by using UV-visible spectroscopy. The refractive indices decreased from 3.71 to 1.28 with wavelength in the range 400-800 nm. 展开更多
关键词 Optical absorption refractive index Ti: Al2O3 UV-visible spectroscopy.
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Atmospheric correction of remote sensing imagery based on the surface spectrum’s vector space 被引量:1
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作者 CHEN Chun LIU ChengYu ZHANG ShuQing 《Science China Earth Sciences》 SCIE EI CAS 2012年第8期1289-1296,共8页
Due to the atmosphere effect,the qualities of images decrease conspicuously,practically in the visible bands,in the processing of earth observation by the satellite-borne sensors.Thus,removing the atmosphere effects h... Due to the atmosphere effect,the qualities of images decrease conspicuously,practically in the visible bands,in the processing of earth observation by the satellite-borne sensors.Thus,removing the atmosphere effects has become a key step to improve the qualities of images and to retrieve the actual reflectivity of surface features.An atmospheric correction approach,called ACVSS(Atmospheric Correction based Vector Space of Spectrum),is proposed here based on the vector space of the features' spectrum.The reflectance image of each band is retrieved first according to the radiative transfer equation,then the spectrum's vector space is constructed using the infrared bands,and finally the residual errors of the reflectance images in the visible bands are corrected based on the pixel position in the spectrum's vector space.The proposed methodology is verified through atmospheric correction on Landsat-7 ETM+ imagery.The experimental results show that our method is more accurate and the corrected image is more distinct,compared with those offered by current popular atmospheric correction software. 展开更多
关键词 atmospheric correction remote sensing imagery spectrum's vector space Landsat-7 ETM+ imagery ACVSS
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