共查询到20条相似文献，搜索用时 31 毫秒
1.
利用野外高光谱仪(ASD Field Spec radiometer)在长春南湖进行了反射光谱测量和同步水质采样分析,通过研究水体藻类叶绿素a浓度与其高光谱反射特征之间的相关关系,采用单波段反射率、反射率比值法和一阶微分法分别建立了叶绿素a的高光谱定量模型。结果表明:三者与叶绿素a线性相关程度都比较高,决定系数在0.70左右,而且其显著水平P<0.01,都可以用于叶绿素a的定量遥感,其中单波段模型效果最好。为今后利用高光谱传感器在南湖进行叶绿素a浓度大面积遥感反演提供了研究基础。 相似文献
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Visible near infrared and shortwave infrared (VNIR-SWIR, 350 to 2500 nm) reflectance spectra obtained from an analytical spectral device (ASD) have been used to define alteration zones adjacent to porphyry copper deposits (PCDs), in the central part of Kerman magmatic arc, SE Iran. The spectral analysis identified sericite, illite, halloysite, montmorillonite, dickite, kaolinite, pyrophyllite, biotite, chlorite, epidote, calcite, jarosite, and iron oxyhydroxides (e.g. hematite, goethite) of hydrothermal and supergene origin. Identified alteration zones are classified into six principal types namely phyllic, phyllic/propylitic, propylitic, potassic, argillic and advanced argillic. The iron oxide minerals in the oxidized zone were also identified using spectral analysis. Results of spectral analyses of samples are consistent with mineralogical data obtained from X-ray diffraction (XRD) and petrographic studies. Spectroscopic studies by ASD demonstrate that this tool is very useful for semi-quantitative and cost effective identification of different types of alteration mineral assemblages. Furthermore, it can provide a valuable tool for evaluating aerial distribution of alteration minerals while coupled with remote sensing data analysis. 相似文献
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新疆西准噶尔包古图斑岩铜矿蚀变岩石的光谱特征及其意义 总被引：2，自引：1，他引：1
地物的光谱特征是遥感识别地物的主要依据,不同地物的反射光谱具有其特定的吸收特征谱带。利用ASD和PIMA反射光谱测试仪对新疆西准噶尔包古图斑岩铜矿Ⅱ号、Ⅴ号斑岩铜矿岩体的蚀变围岩(地表采样与钻井采样)进行测试,并对结果进行分析总结。根据反射光谱特征谱带获得蚀变矿物的种类,确定了岩体的蚀变矿物组合,得到反射光谱的吸收谷在ASTER数据中所处的波段;对反射光谱曲线进行数学积分,获得ASTER数据中的强吸收波段。将以上2种分析得到的吸收性波段组合应用于蚀变遥感异常信息提取,结果表明蚀变遥感异常与野外地质特征吻合程度较高。反射光谱分析表明确定岩石矿物的反射光谱特征谱带是进行遥感信息提取工作的前提,波段组合选取对提取蚀变遥感异常信息非常重要。 相似文献
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This study examines linear spectral unmixing technique for mapping the surface soil types using field spectroscopy data as the reference spectra. The investigated area is located in North Sinai, Egypt. The study employed data from the Landsat 7 ETM+ satellite sensor with improved spatial and spectral resolution. Mixed remotely sensed image pixels may lead to inaccurate classification results in most conventional image classification algorithms. Spectral unmixing may solve this problem by resolving those into separate components. Four soil type end-members were identified with minimum noise fraction and pixel purity index analyses. The identified soil types are calcareous soils, dry sabkhas, wet sabkhas, and sand dunes. Soil end-member reference spectra were collected in the field using an ASD FieldSpec Pro spectrometer. Constrained sum-to-one and non-negativity linear spectral unmixing model was applied and the soil types map was produced. The results showed that linear spectral unmixing model can be a useful tool for mapping soil types from ETM+ images. 相似文献
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月表矿物含量反演是研究月球地质起源和演化的关键.太空风化作用普遍发生在月球表面,对矿物纯净光谱造成了不可忽视的影响,它弱化光谱吸收特征, 降低反射率,影响矿物含量遥感反演精度.基于Relab光谱库和Hapke辐射传输模型,将月表 4种矿物(单斜辉石、斜方辉石、斜长石、橄榄石)的二向性反射率转换成同向性的单次散射反照率,然后计算矿物的光学常数;再根据亚微观金属铁SMFe(submicroscopic metallic iron)的质量分数模拟6种不同程度太空风化效应,得到端元矿物的反射率光谱;最后基于上述方法,利用多端元线性分解方法和M3(moon mineralogy mapper,月球矿物绘图仪)高光谱数据反演不同风化程度下的矿物含量,得到月表虹湾地区辉石、斜长石、橄榄石3种矿物的含量分布.实验表明,利用多端元线性分解可以有效模拟太空风化效应对矿物光谱的影响,是研究太空风化效应影响下矿物识别及含量反演的一种行之有效的方法. 相似文献
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Remote sensing's main limitation to date was that geological surface information lacked detail due to the broad bandwidth of the operational scanners. Imaging spectrometers now allow acquisition of image data in many contiguous spectral bands, with the aim of producing laboratory-like reflectance spectra for each pixel in the scene which can be directly compared with spectra of known materials measured in the field or laboratory to allow mineral identification on the Earth surface. The advent of satellite-based imaging spectrometer systems justifies the surge for techniques that allow the automatic preparation of validated surface mineralogy maps. We show an extension of a procedure known as cross-correlogram spectral matching to retrieve accuracy assessed surface mineralogy from Airborne Visible/InfraRed Imaging Spectrometer data (AVIRIS). The procedure is based on the spectral cross-correlation of known mineral spectra with unknown pixel spectra from AVIRIS. The validation is performed through a root-mean square calculation of expected correlograms and pixel correlograms. Results obtained in the study outlined allow an accurate delineation of zones of hydrothermal alteration in an area of active gold exploration. 相似文献
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Quantifying the abundance and physicochemical properties of minerals using reflectance spectroradiometry in the visible, near infrared and shortwave infrared (400–2500 nm) regions is an important tool in mineral exploration. In this study, the reflectance spectra of drill cores from the world-class N4WS iron deposit located in the Carajás Mineral Province, Brazil, were obtained. These spectra were validated using X-ray fluorescence (XRF) geochemical analyses and thin sections. The reflectance spectra were collected using a FieldSpec 3 spectroradiometer (ASD, Boulder, Colorado, USA) in 10 drill cores. The mineralogy of the deposit is mainly hematite, with lesser amounts of magnetite, goethite, quartz, kaolinite, gibbsite, smectite, talc, carbonate and chlorite. The mineralogy of the iron deposit was extracted from the spectral data using the geometry (depth and wavelength) of absorption features across the reflectance spectrum removed from the continuum. The depth of the absorption features is proportional to the mineral abundance, and the wavelength is proportional to the mineral chemical composition. The diagnostic absorption features of each mineral were used to determine the mineral abundance and composition. The final products include the abundance of iron (hydro) oxide (11.6% root-mean-square error [RMSE] Fe2O3); abundance of aluminous clays (RMSE 6% Al2O3); abundance of talc (8% RMSE MgO); identification of clay type (kaolinite, montmorillonite or gibbsite); composition of carbonate (dolomite vs. calcite); and composition of chlorite (Mg vs. Fe). The mineral abundance and composition results provided an effective characterisation of the ore, protore and host rocks and showed variations within the ore body. 相似文献
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地表风化产生的表面覆盖层、风吹送的尘埃、胶结物或附着物在岩矿表面形成的外壳是影响地表高光谱遥感识别和反演的重要和关键因素。本研究区位于干旱缺水的新疆西准噶尔包古图地区,对岩矿表面的风化面、胶结物形成的荒漠漆、附着于岩面的地衣和原岩的新鲜面进行了波谱测定分析、X射线荧光元素分析和光薄片镜下观察。结果表明：该地区的大部分岩石表面有风化层覆盖,主要为物理风化,少部分岩石表面发生了化学风化;荒漠漆波谱在可见光波段改变原岩本身的波谱形态,但在短波红外波段,保持原岩波谱特征只改变了反射率大小,并不影响对原岩矿物质的高光谱探测;地衣附着于岩表的波谱特征不仅改变了波谱反射率,还完全改变了原岩的波谱形态,对原岩表面波谱有混淆干扰作用。岩矿表面的研究是波谱测量从实验室走向野外实际应用的基础,也是利用高光谱遥感技术直接进行矿物识别、相似矿物的区分以及提取矿物含量和化学成分研究的最初和关键一步。 相似文献
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赣南离子吸附型稀土矿是我国重要的稀土资源,本文运用美国ASD FieldSpec-3便携式地物波谱仪,对赣南寻乌稀土矿区稀土精矿粉配置的25个稀土溶液样品进行波谱测试,获取了不同稀土含量的波谱特征,结果表明溶解在水体中的稀土元素在可见光-近红外574 nm、790 nm、736 nm、520 nm、861 nm、443 nm等波段具有多个明显的稀土特征吸收谷及若干次级的稀土特征吸收谷;通过与15种稀土单元素波谱特征对比分析,可见这些吸收特征主要由一种或几种稀土单元素引起;随着稀土浓度的降低,这些吸收特征逐渐减弱甚至消失。这一研究进一步加深了对我国赣南稀土溶液波谱特征的认识,同时为赣南稀土元素的高光谱遥感研究奠定了理论基础。 相似文献
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基于ASTER的雅鲁藏布江缝合带泽当-罗布莎蛇绿岩套分析和组分识别 总被引：2，自引：0，他引：2
本文通过对西藏雅鲁藏布江缝合带泽当-罗布莎地区蛇绿岩套的主要岩石组成和蚀变矿物的标准波谱吸收特征分析,比较了标准光谱库的相应岩性光谱吸收特征和ASTER数据波段特征之间的关系,采用连续统去除、比值法和光谱角制图法对ASTER影像数据进行处理及相关岩性和矿物提取。结果表明,蛇绿岩组分岩性中亚铁离子和Fe-OH,Mg-OH的可见-短波红外吸收特征显著,而且有一个宽波长范围的Si-O热红外光谱特征,基于这些光谱特征采用ASTER数据和比值法与光谱角制图法可有效地识别蛇绿岩的主要岩性和相关矿物成分及其空间分布,结果与地质资料基本吻合。 相似文献
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Gilgit-Baltistan region is covering the northern most part of Pakistan where the rocks of the Kohistan-Ladakh island arc and Karakoram plate are exposed. The area has greater potential for precious and base metals deposits which are needed to be explored through spectroscopy and remote sensing techniques. Minerals and rocks can nowadays be identified through the measurement of their absorption and reflectance features by spectroscopic analysis. Spectral reflectance analysis is also very important in selecting the appropriate spectral bands for remote-sensing data analysis of unknown or inaccessible areas. In this study, reflectance spectra in the spectral range of 0.35–2.5 μm of different types of unaltered and altered rocks found in the Machulu and Astor areas of northern Pakistan were obtained using an ASD spectroradiometer. The fresh rock samples showed low spectral reflectance as compared to the altered rock samples. The minerals jarosite, goethite, and hematite showed depth of absorption minima in the range of 0.4–1.15 μm due to the presence of iron (Fe), while jarosite and limonite showed absorption depth at 2.2 μm due to the presence of hydroxyl ions (OH¯). The clay minerals montmorillonite and illite showed absorption depth at 1.93 and 2.1 μm, respectively. Muscovite showed depth of absorption minima at 1.4 and 1.9 μm in some samples. Calcite showed deep absorption minima at 2.32 μm, while anorthite showed absorption features at 1.4, 1.9, 2.24, and 2.33 μm. Olivine showed a slight depressed absorption feature at 1.07 μm. The copper-bearing phases malachite, chrysocolla, and azurite showed, respectively, a broad absorption feature in the range of 0.6–0.9 μm, a small absorption at 1.4 μm, and a deep absorption at 1.93 μm. The unmineralized samples exhibited high reflectance in the wavelength ranges of 0.6–0.8, 1.6–1.9, 2.0–2.3, 2.1–2.25, and 2.4–2.5 μm, respectively, while the mineralized samples showed reflectance bands in the wavelength ranges of 0.4–0.6, 1.3–1.8, and 2.1–2.2 μm. On this basis, the band ratio combinations 7/5–4/3–6/3 and 7/5–6/3–4/3 of Landsat 8 and 4/7–4/3–2/1 for ASTER data were found to be very effective in the lithological differentiation of major rock units. 相似文献
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基于ASTER数据的蛇绿岩组分识别：以德尔尼矿区为例 总被引：1，自引：3，他引：1
本文运用高级星载热辐射和反射探测器(ASTER)反射率数据对青海德尔尼蛇绿岩的主要岩石组成和蚀变矿物进行探测。以现有的标准光谱库数据作为参照,采用光谱角制图法来提取感兴趣的岩性和矿物信息,并通过与现有地质图对比,验证结果的精度。实验结果表明,运用ASTER数据和标准的光谱库数据,可较有效地识别蛇绿岩的主要岩性和相关矿物成分,但不同岩性的识别精度不同。 相似文献
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Measurement of photosynthetic pigments as ground truth for remotely sensed spectra of boreal communities was tested. Chlorophyll
and carotenoid concentrations and ratios were obtained from needles of spruce trees which were healthy as well as those undergoing
forest decline (Waldsterben) in Vermont (USA) and Baden-Württemberg (FR Germany). In needles of trees exhibiting forest decline
symptoms, chlorophyll pigment concentrations were lower, chlorophyll b levels decreased relative to chlorophyll a, total chlorophyll
(a + b) was less relative to total carotenoid, and percent of reflectance in the visible range was higher. Pigment and reflectance
data differentiated between needles from healthy and declining sites. These results were compared to remotely sensed spectral
data obtained by aircraft and satelitee. As a result of these initial comparisons, it appears that using photosynthetic pigments
as ground truth for remotely sensed spectral data may be of value in developing techniques for differentiating undamaged and
damaged tree canopies on a large spatial scale. Finally, similar pigment and reflectance properties characterized healthy
and declining communities in both Vermont and Baden-Württemberg. 相似文献
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Quantifying engineering parameters of expansive soils from their reflectance spectra 总被引：2，自引：0，他引：2
Fekerte Arega Yitagesu Freek van der Meer Harald van der Werff Wolter Zigterman 《Engineering Geology》2009,105(3-4):151-160
Occurrence of expansive soils in construction sites has serious implications on planning, design, construction, maintenance, and overall performance especially of lightweight engineering infrastructures. Such soils are particularly susceptible to large volume changes in response to moisture content fluctuations following seasonal climatic variations. This can lead to deformation of structures built up on them. For this study, soil samples were collected from the eastern part of Addis Ababa. Specific expansive soil engineering parameters namely; Atterberg limits (LL, PL and PI), free swell and cation exchange capacity were measured in a soil mechanics laboratory. Reflectance spectra of each soil sample were acquired in a remote sensing laboratory using ASD fieldspec full range spectrometer. A multivariate calibration method, partial least squares regression (PLSR) analysis, through simple wavelength approach, was used to construct empirical prediction models for estimating engineering parameters of expansive soils from their respective reflectance spectra. Correlation coefficients of 0.90, 0.87, 0.71, 0.81 and 0.71 for CEC, LL, PL, PI and FS respectively were obtained. The correlation coefficients showed that large portion of variations in engineering parameters of expansive soils could be accounted for by spectral parameters. Apart from these high correlation coefficients, small root mean square errors of calibration (RMSEC) and prediction (RMSEP), standard error of calibration (SEC) and prediction (SEP) and minimum bias were obtained. The results indicate potential of spectroscopy in deriving engineering parameters of expansive soils from their respective reflectance spectra and hence, its potential applicability in supporting geotechnical investigations of such soils. 相似文献
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辽宁兴城地区岩石光谱测试及特征分析 总被引：1，自引：0，他引：1
在辽宁兴城野外实习基地采用ASD光谱仪完成不同岩石样品光谱测试的基础上, 分析了不同类型、不同地质时代的岩浆岩和沉积岩, 及其风化面和新鲜面的光谱曲线特征。兴城野外不同岩浆岩与沉积岩光谱曲线形态相似, 新鲜面和风化面的特征光谱吸收位置相差不大, 但新鲜面的反射率普遍高于风化面的反射率;岩浆岩和沉积岩样品一般在波长为900 nm左右存在铁离子吸收谷;除了在1 400 nm和1 900 nm处有水汽吸收带外, 岩浆岩和沉积岩样品在2 200 nm左右还存在强吸收谷, 而灰岩在2 300 nm左右有比较高的吸收谷, 这也是利用实测光谱进行岩性分类的理论基础。但是, 不同地质年代下的岩石光谱曲线变化并无规律, 更多地与岩石结构、成分和环境因素等相关。这样, 岩石光谱测试及其特征分析可满足研究区岩性识别、矿化蚀变信息提取的需要。 相似文献
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川西甲基卡锂矿基地典型岩石及矿物反射波谱特征研究 总被引：1，自引：1，他引：0
四川甲基卡矿田是中国乃至于世界上锂矿资源最集中的地区之一,目前对甲基卡锂矿床的光谱学认识还很欠缺。本文运用地物波谱仪对甲基卡地区野外采集的典型岩石及矿物开展波谱测试,建立了研究区样品的波谱数据库,总结了黑云母片岩、十字石片岩、十字石堇青石片岩、角岩、二云母花岗岩、含锂辉石伟晶岩、不含锂辉石伟晶岩、石英脉、长石斑晶、锂辉石、云母、绿柱石的波谱特征。研究结果表明:围岩与岩体波谱特征差异较大,围岩反射率一般在0. 2以下,吸收特征不明显,岩体反射率一般在0. 5以下,具有1413 nm、1911 nm、2197 nm三处不同程度的吸收特征;其中含矿伟晶岩、不含矿伟晶岩及花岗岩可以通过1413 nm及2197 nm等处的吸收特征进行区分;锂辉石及绿柱石具有独特的波谱特征,可以直接用于找矿。本文开展的甲基卡型锂矿地面波谱研究,对其高光谱遥感填图及地质找矿具有重要的指导意义。 相似文献
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Fei Zhang Tashpolat Tiyip Jianli Ding Hsiangte Kung Verner C. Johnson Mamat Sawut Nigara Tashpolat Dongwei Gui 《Environmental Earth Sciences》2013,69(8):2743-2761
There has been growing interest in the use of reflectance spectroscopy as a rapid and inexpensive tool for soil characterization. In this study, 53 soil samples were collected from the oasis in the Weigan and Kuqa River delta along the middle reaches of Tarim River to investigate the level of soil chemical components in relation to soil spectral. An approach combining spectral technology and multi-variant statistical analysis was used to determine the reflectance spectral features of saline soil. The spectral data was first pretreated to remove noises and absorption bands from water, which eliminated influence from instrument errors and other external background factors. Several spectral absorption features were calculated for several saline soil samples to confirm that soil at the same salinity level had similar absorption spectral properties. Secondly, a correlation relationship between reflectance spectra and salinity factors was estimated by bivariate correlation method. Fourteen salinity factors including eight major ions and soil electrical conductivity (EC), soil salt content (SSC), pH, and total dissolved solid (TDS) in the saline soil were evaluated. Datasets of the salinity factors that correlated significantly with field data measurements of reflectance rate and the corresponding spectrum data were used to construct quantitative regression models. According to the multiple linear regression analysis, SSC, SO4 2?, TDS, and EC had a correlation coefficient at 0.746, 0.908, 0.798, and 0.933 with the raw spectral data, respectively, which confirmed strong correlation between salinity factors and soil reflectance spectrum. Findings from this study will have significant impact on characterization of spectral features of saline soil in oasis in arid land. 相似文献
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《地学前缘(英文版)》2023,14(4):101562
The remote mapping of minerals and discrimination of ore and waste on surfaces are important tasks for geological applications such as those in mining. Such tasks have become possible using ground-based, close-range hyperspectral sensors which can remotely measure the reflectance properties of the environment with high spatial and spectral resolution. However, autonomous mapping of mineral spectra measured on an open-cut mine face remains a challenging problem due to the subtleness of differences in spectral absorption features between mineral and rock classes as well as variability in the illumination of the scene. An additional layer of difficulty arises when there is no annotated data available to train a supervised learning algorithm. A pipeline for unsupervised mapping of spectra on a mine face is proposed which draws from several recent advances in the hyperspectral machine learning literature. The proposed pipeline brings together unsupervised and self-supervised algorithms in a unified system to map minerals on a mine face without the need for human-annotated training data. The pipeline is evaluated with a hyperspectral image dataset of an open-cut mine face comprising mineral ore martite and non-mineralised shale. The combined system is shown to produce a superior map to its constituent algorithms, and the consistency of its mapping capability is demonstrated using data acquired at two different times of day. 相似文献