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1.
基于实测光谱与MODIS数据的太湖悬浮物定量估测 总被引:11,自引:2,他引:11
以太湖为研究区域,对太湖水体的水面反射光谱进行实地测试,并取样在实验室进行水质分析;根据光谱分析得到的悬浮物特征波段,估测悬浮物浓度;最后,对比MODIS波段,用最敏感波段及主成分分析法建立悬浮物估测模型.结果表明,576nm附近的反射率峰值、841nm处反射率一阶微分值和808nm附近的反射峰高与悬浮物浓度都有较好的相关性,其中峰高法和一阶微分法对悬浮物浓度的估测精度相当;MODIS波段1与悬浮物浓度相关性最好,经过主成分变化后的第一主成分和第二主成分可以较好地估测悬浮物浓度.因此,可利用MODIS数据对太湖悬浮物进行长期动态监测. 相似文献
2.
Pryor SC Larsen SE Sørensen LL Barthelmie RJ 《Environmental pollution (Barking, Essex : 1987)》2008,152(3):667-678
This paper reports a study designed to test, evaluate and compare micro-meteorological methods for determining the particle number flux above forest canopies. Half-hour average particle number fluxes above a representative broad-leaved forest in Denmark derived using eddy covariance range from -7x10(7) m(-2) s(-1) (1st percentile) to 5x10(7) m(-2) s(-1) (99th percentile), and have a median value of -1.6x10(6) m(-2) s(-1). The statistical uncertainties associated with the particle number flux estimates are larger than those for momentum fluxes and imply that in this data set approximately half of the particle number fluxes are not statistically different to zero. Particle number fluxes from relaxed eddy accumulation (REA) and eddy covariance are highly correlated and of almost identical magnitude. Flux estimates from the co-spectral and dissipation methods are also correlated with those from eddy covariance but exhibit higher absolute magnitude of fluxes. 相似文献
3.
4.
Quantification and reduction of erroneous differences between images in remote sensing 总被引:1,自引:0,他引:1
The reliability of image data, along with the difficulty of accurately comparing images acquired at different times or from
different sensors, is a generic problem in remote sensing. Measurement repeatability errors occur frequently and can substantially
reduce the system’s ability to reliably quantify real spectral and spatial change in a target. This paper outlines methodologies
for quantifying and reducing erroneous differences between monochrome and multispectral or hyperspectral images. [Each of
these image types is acquired by an instrument that collects light photons across a variable range of the electromagnetic
spectrum (often referred to as an image band). The hyperspectral image is often referred to as a hyperspectral cube with XY
spatial dimensions and many Z bands (spectral demotions)]. In this paper, we specifically discuss the Pixel Block Transform
(PBT), the Spectral Averaging Transform (SAT), and the Wavelet Transform (WAVEL). We briefly address sensor fusion. Results
indicate that the PBT is a powerful cross-noise and repeatability error reducing tool, applicable to monochrome, multispectral,
and hyperspectral images. The SAT is as powerful as the PBT in reducing error but is suitable only for hyperspectral imagery.
WAVEL can reduce some of the finer scale noise, but it is not as powerful in reducing cross-noise as PBT or SAT and it requires
some trial and error for selecting the appropriate wavelet function. It is important that those involved in developing statistically
sound relationships between remotely sensed imagery and other data sources understand the problems and their solutions to
prevent wasting time or developing relationships that are statistically insignificant or unstable, or that lead to faulty
conclusions. 相似文献
5.
Liquan Zhang Zhanguo Gao Richard Armitage Martin Kent 《Frontiers of Environmental Science & Engineering in China》2008,2(2):187-197
The spectral reflectance of recently formed salt marshes at the mouth of the Yangtze River, which are undergoing invasion
by Spartina alterniflora, were assessed to determine the potential utility of remotely sensed data in assessing future invasion and changes in species
composition. Following a review of published research on remote sensing of salt marshes, 53 locations along three transects
were sampled for paired data on plant species composition and spectral reflectance using a FieldSpec™ Pro JR Field Portable
Spectroradiometer. Spectral data were processed concerning reflectance, and the averaged reflectance values for each sample
were reanalysed to correspond to a 12-waveband bandset of the Compact Airborne Spectral Imager. The spectral data were summarised
using principal components analysis (PCA) and the relationships between the vegetation composition, and the PCA axes of spectral
data were examined. The first PCA axis of the reflectance data showed a strong correlation with variability in near infrared
reflectance and ‘brightness’, while the second axis was correlated with visible reflectance and ‘greenness’. Total vegetation
cover, vegetation height, and mudflat cover were all significantly related to the first axis. The implications of this in
terms of the ability of remote sensing to distinguish the various salt marsh species and in particular the invasive species
S. alterniflora were discussed. Major differences in species with various physiognomies could be recognised but problems occurred in separating
early colonising S. alterniflora from other species at that stage. Further work using multi-seasonal hyperspectral data might assist in solving these problems. 相似文献
6.
太湖悬浮物对水体生态环境的影响及其高光谱反演 总被引:2,自引:1,他引:2
利用太湖水质参数数据、水面以下实测光谱数据以及水-气界面辐射传输模型,计算得到了水体漫射衰减系数和水面以上遥感反射比,探讨了悬浮物对水体中营养盐以及水下光照等水体环境因子的影响,在此基础上,利用水面以上遥感反射率建立了悬浮物浓度的定量反演模型.研究结果表明:悬浮物浓度与水体下行漫射衰减系数具有很好的相关性,在可见光波段相关系数达到0.8以上,与真光层深度具有很好的负指数关系;水面以上遥感反射比与悬浮物浓度对数(In(Tss))具有很好的相关性,在500~600nm范围内呈负相关,在620-882nm范围呈正相关,最大负相关出现在522nm附近,最大正相关出现在692nm附近;选用Rra(522nm)、Rra(692nm)以及其比值作为变量建立悬浮物反演模型,得出的单波段线性对数模型能够较好地反演悬浮物浓度. 相似文献
7.
8.
9.
巢湖水体悬浮物含量与光谱反射率的关系 总被引:30,自引:0,他引:30
利用高光谱地物光谱仪在巢湖进行了反射光谱测量和同步水质采样分析,在分析巢湖水体反射光谱特征的基础上,分别研究了悬浮物浓度与水体光谱反射率和光谱反射率的一阶微分之间的关系,结果表明在近红外波段范围,单波段反射率和一阶微分光谱反射率都与悬浮物的浓度有较好的相关性,而且利用微分光谱估算内陆水体悬浮物浓度有较大潜力。 相似文献
10.
Use of Landsat Thematic Mapper Data to Assess Seasonal Rangeland Changes in the Southeast Kalahari, Botswana 总被引:2,自引:0,他引:2
S. Ringrose S. Musisi-Nkambwe T. Coleman D. Nellis C. Bussing 《Environmental management》1999,23(1):125-138
/ Management problems arise in semiarid rangeland that are characterized by marked wet and dry seasons because of forage deficiencies in the dry season. These natural vegetation rangelands can sustain livestock all year long when forage and senesced grass are available into the dry season. Seasonal range condition data are required to provide a basis for pasture management to help locate dry season cover and thereby minimize overstocking and degradation. The generation of seasonal data using Thematic Mapper (TM) imagery was undertaken to assess changes in natural vegetation cover in the southern Botswana Kalahari. Visual analysis of spectral reflectance curves, the development of spectral separability indexes, and conventional classification analysis techniques were used to identify and differentiate rangeland features. Results from reflectance curves indicated that most rangeland cover types could be preferentially distinguished using mainly wet season data, especially on the longer TM wavebands, and that range feature differentiation was more problematic on darker soils than on lighter soils. Spectral separability indexes (SSIs) confirmed that range feature separation varied considerably as a function of waveband and was more effective in the wet than the dry season. The SSIs also showed that range feature differentiation in both seasons was most effective using a combination of the chlorophyll absorpance band (TM3) and two mid-infrared bands (TM5 and TM7). Wet season data were more effectively classified in terms of range features than dry season data although some class similarity was inferred across the two classified data sets. The work shows that overall trends may be generated by comparing seasonal data sets, thereby providing an overall basis for dry season decision making. However, particular problems arise within the dry season data sets probably because of spectral similarities between shadow and darkened vegetation cover, thereby implying that further work is needed. KEY WORDS: Semiarid rangelands; Botswana; Kalahari; Spectral differentiation; Seasonal change; Darkened vegetation cover 相似文献