Spectral Aerosol Transmittance in the Ultraviolet and Visible Spectra in Athens,Greece

This work investigates the spectral atmospheric transmittance due to aerosols in the urban environment of Athens during a period of one year. The spectral transmittance due to aerosols is derived using measurements of spectral direct-beam solar irradiance in the 310–575 nm spectral band. This derivation is accomplished by using a radiative transfer model for estimating the partial spectral atmospheric transmittance functions due to Rayleigh scattering, and absorption by ozone, nitrogen dioxide and water vapor. The seasonal and diurnal variation of the aerosol transmittance is investigated and the results are discussed with a view to air pollution sources, meteorological factors and topographic characteristics of the Athens basin.     

Photocatalytic Reduction of Cr^Ⅵ by Natural Sphalerite Suspensions under Visible Light Irradiation

The photocatalytic reductive capability of a natural semiconducting mineral, sphalerite has been studied for the first time. The sphalerite from the Huangshaping deposit of Hunan Province performed great photoreductive capability that 91.95% of the Cr^6＋ was reduced under 9 h visible light irradiation, higher than the 70.58% under 9.5 h UV light irradiation. The highly reductive ability results from its super negative potential of electrons in the conduction band. Furthermore, Fe substitution for Zn introduces donor states, and the oxidation process of Fe^2＋ to Fe^3＋ makes it an effective hole-scavenger. Cd and Cu substitute for Zn also reduce the bandgap and help broaden the absorbing edge towards the visible light. These substituting metal ions in natural sphalerite make it a hyper-active photocatalyst and very attractive for solar energy utilization.     

Photocatalytic Reduction of Cr~Ⅳ by Natural Sphalerite Suspensions under Visible Light Irradiation

The photocatalytic reductive capability of a natural semiconducting mineral, sphalerite has been studied for the first time. The sphalerite from the Huangshaping deposit of Hunan Province performed great photoreductive capability that 91.95% of the Cr6+ was reduced under 9 h visible light irradiation, higher than the 70.58% under 9.5 h UV light irradiation. The highly reductive ability results from its super negative potential of electrons in the conduction band. Furthermore, Fe substitution for Zn introduces donor states, and the oxidation process of Fe2+ to Fe3+ makes it an effective hole-scavenger. Cd and Cu substitute for Zn also reduce the bandgap and help broaden the absorbing edge towards the visible light. These substituting metal ions in natural sphalerite make it a hyper-active photocatalyst and very attractive for solar energy utilization.     

GF-5卫星高光谱影像数据质量评价与分析

目前遥感影像质量评价的指标与方法虽较为成熟,但尚未发现针对高分五号(GF-5)卫星AHSI影像数据质量评价及其可用性的全面研究。该文在分析高光谱影像质量评价方法的基础上,利用噪声标准差、清晰度和信息熵3个指标,对GF-5可见短波红外谱段的数据质量与可用性进行分析评价,结果表明:GF-5AHSI影像不同波段数据质量存在差异,影像信息主要集中在VNIR和SWIR第1-95波段内(受水汽影响的波段除外),SWIR中第43-50、96-112(1359.03~1418.17nm、1805.44~1940.15nm)共25个波段受水汽影响严重,不可用,第113-180(1948.57~2513.25nm)波段影像质量较差、噪声严重,阻碍了该波段的应用。研究结果可为GF-5AH-SI影像数据的处理与应用提供技术参考。     

FY-3B/VIRR海表温度算法改进及精度评估

该文介绍了卫星观测海表温度 (SST) 算法的发展历程,给出了所用SST算法的回归模型,并在FY-3B/VIRR业务SST算法的基础上进行了改进。基于NOAA-19/AVHRR匹配数据集,进行多算法建模分析及精度评估,白天最优算法为非线性SST (NL) 算法,夜间最优算法为三通道SST (TC) 算法,最优算法的确定与NESDIS/STAR一致。建立2012年8月—2013年3月FY-3B/VIRR匹配数据集,并在此基础上进行多算法回归建模及精度评估,白天和夜间的最优均为NL算法,分析发现夜间TC算法采用匹配数据集版本2(MDB_V2) 时,3.7 μm通道存在类似百叶窗的条带现象。以2012年10—12月FY-3B/VIRR匹配数据集计算回归系数,以2013年1—3月独立样本进行精度评估,与浮标SST相比,NL算法白天和夜间的均方根误差分别为0.41℃和0.43℃。与日平均最优插值海温 (OISST) 相比,NL算法白天和夜间的均方根误差分别为1.45℃和1.5℃; 选择与OISST偏差在2℃以内的样本,NL算法白天和夜间均方根误差分别为0.82℃和0.84℃。     

基于二次开发平台的插件式可视水印

可视水印是矢量地图数据版权保护的一项有效手段。本文分析了矢量地图数据和栅格数据可视水印实现机制的异同,并根据矢量地图数据特点,设计了插件式可视水印模型,并基于ArcGIS平台,实现了可视水印插件原型系统。实验效果证明该方案具有可行性,能够有效保护矢量地图数据版权。     

融合无人机影像与LiDAR点云的山区地表覆被景观特征探测

机载LiDAR数据能够准确提供对象的三维空间位置信息,无人机高分辨影像具备丰富的色彩信息与纹理信息,综合两种数据的优点,可进行数据集成融合。针对山区普遍存在的分布广泛的植被覆盖类型基质景观,本文通过构建可见光植被指数（VDVI）融合光谱信息点云数据,进行典型植被特征提取的研究。为了验证该方法提取信息的准确度,分别构建了3种数据源并依次进行山区地表植被提取试验。对试验结果定性定量分析表明,融合光谱点云数据的植被覆被率为56.8%,较另外两种数据类型的植被覆被率更加接近参考值（58.2%）,可信度相对较高,效果更好,植被图斑轮廓更加清晰,更适用于目标对象植被特征提取,使融合影像信息的点云数据分类优势得以体现,证实了该方法面向山区植被特征提取的可行性。     

大兴安岭林区无人机可见光影像散发枯立木识别算法

枯立木识别对森林资源管理,生物多样性保护,以及森林碳储量变化评估具有重要价值.无人机高分辨率影像为枯立木调查提供了较为便捷的方式.现有枯立木识别算法多依靠拥有红边、近红外波段的多光谱影像来实现.相比于多光谱相机,消费级无人机通常搭载的是用于获取可见光(RGB)影像的普通数码相机,较少的波段信息为基于RGB影像的枯立木自...