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261.
CBERS-02星CCD数据在林业资源监测中的应用评价   总被引:6,自引:0,他引:6  
以福建南平地区为试验区,从灰度分析、波段相关性、图像光谱特征及林业专题分类精度等方面,分析了中巴二号星CCD数据的质量、成图比例尺、对林业专题信息的提取情况,论述了CBERS02-CCD数据(简称02星数据)在林业资源监测中应用的可行性。  相似文献   
262.
Using near simultaneously acquired Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and Earth Observing-1 Advanced Land Imager (ALI) data we assess the relative radiant responses over active lava flows from the Mt. Etna July/August 2001 flank eruption. By assessing the extent of saturation between the two instruments and using the dual-band method of extracting sub pixel thermal information, we show that the ALI represents an improvement over the ETM+ in the present ability to assess temperatures of hot active lava flows for a number of reasons. (1) The extra spectral channels provided by ALI compliment the current SWIR channels on ETM+ by providing a greater number of paired channel combinations for input into the dual-band method. Thus, dual-band temperature solutions can be determined for a greater range of lava flow types than previously possible using the two paired channel combinations available with the ETM+. (2) The ALI instrument is less susceptible than ETM+ to saturation within the SWIR, especially when using channels 5, 5p and 4p at wavelengths of 1.65, 1.25 and 0.87 μm respectively. (3) The greater radiometric sensitivity of the ALI 12 bit electronics coupled with a significantly higher signal to noise ratio aid in obtaining successful dual-band solutions.  相似文献   
263.
Poyang Lake is the largest freshwater lake in China. This paper conducted a digital and rapid investigation of the lake’s wetland vegetation biomass using Landsat ETM data acquired on April 16, 2000. First, utilizing the false color composite derived from the ETM data as one of the main references, the authors designed a reasonable sampling route for field measurement of the biomass, and carried it out on April 18–28, 2000. Then after both the sampling data and the ETM data were geometrically corrected to an equal-area projection of Albers, linear relationships among the sampling data and some transformed data derived from the ETM data and the ETM 4 were calculated. The results show that the sampling data is best relative to the band 4 data with a high correlation coefficient of 0.86, followed by the DVI and NDVI data with 0.83 and 0.80 respectively. Therefore, a linear regression model, which was based on the field data and band 4 data, was used to estimate the total biomass of entire Poyang Lake, and then the map of the biomass distribution was compiled.  相似文献   
264.
Alteration is regarded as significant information for mineral exploration. In this study, ETM remote sensing data are used for recognizing and extracting alteration zones in northwestern Yunnan (云南), China. The principal component analysis (PCA) of ETM bands 1, 4, 5, and 7 was employed for OH- alteration extractions. The PCA of ETM bands 1, 3, 4, and 5 was used for extracting Fe2 (Fe3 ) alterations. Interfering factors, such as vegetation, snow, and shadows, were masked. Alteration components were defined in the principal components (PCs) by the contributions of their diagnostic spectral bands. The zones of alteration identified from remote sensing were analyzed in detail along with geological surveys and field verification. The results show that the OH" alteration is a main indicator of K-feldspar, phyllic, and prophilized alterations. These alterations are closely related to porphyry copper deposits. The Fe2 (Fe3 ) alteration indicates pyritization, which is mainly related to hydrothermal or skarn type polymetallic deposits.  相似文献   
265.
In this study, a parameterization method based on Landsat‐7 Enhanced Thematic Mapper (ETM) data and field observations is presented and tested for deriving the regional land surface variables, vegetation variables and land surface heat fluxes over a heterogeneous landscape. As a case study, the method and two Landsat‐7 ETM images are applied to the Jiddah area of Saudi Arabia. The regional distribution maps of surface reflectance, normalized difference vegetation index, modified soil adjusted vegetation index (MSAVI), vegetation coverage, leaf area index, surface temperature, net radiation flux, soil heat flux, sensible heat flux and latent heat flux have been determined over the Jiddah area. The derived results have been validated by using the ‘ground truth’. The results show that the more reasonable regional distributions of land surface variables (surface reflectance, surface temperature), vegetation variables (MSAVI and vegetation coverage), net radiation, soil heat flux and sensible heat flux can be obtained by using the method proposed in this study. Further improvement of the method is also discussed. Copyright © 2006 John Wiley & Sons, Ltd.  相似文献   
266.
基于ETM+遥感数据解译研究区地质构造,利用ASTER数据,采用光谱角填图法(SAM)提取矿化蚀变信息.同时,结合研究区化探异常数据分布特征、岩体的空间展布特征、已有的地质资料等,总结了研究区典型矿床的成矿地质规律,并达到了成矿模型要求.最后,在内蒙古东乌珠穆沁-满都地区进行了成矿远景区的圈定.研究结果表明:结合ETM+和ASTER遥感数据和化探异常数据,建立遥感成矿模型,在圈定成矿远景方面有一定的可行性,该方法值得进一步推广.  相似文献   
267.
耐震时程法(ETM)是一种基于动力时程的结构抗震分析方法,其典型表征在于随着持续时间的增加,地震动强度逐渐增大。本文合成了基于中国抗震反应谱的耐震时程曲线,并以此作为输入,对一个8层3跨钢框架结构的抗震性能进行了分析和评估。采用增量动力分析方法(IDA)对结构在不同耐震持时下的整体响应进行了评估;以大震下天然地震动分析结果为标准,对比了结构在耐震时程曲线(ETA)作用下的塑性铰分布概率、形成顺序和延性分布。研究结果表明:耐震时程法能较好地预测钢框架结构的非线性动力响应及破坏过程,且分析次数少,这为钢框架结构的抗震性能快速分析与评估提供了一种新的手段。  相似文献   
268.
基于IDL语言平台,实现一种较为成熟的适于LANDSAT-7号卫星ETM 传感器获得的影像的大气校正算法.结果表明所采用的校正算法简便实用,可操作性强.  相似文献   
269.
270.
Since the atmospheric correction is a necessary preprocessing step of remote sensing image before detecting green tide, the introduced error directly affects the detection precision. Therefore, the detection method of green tide is presented from Landsat TM/ETM plus image which needs not the atmospheric correction. In order to achieve an automatic detection of green tide, a linear relationship(y =0.723 x+0.504) between detection threshold y and subtraction x(x=λ_(nir)–λ_(red)) is found from the comparing Landsat TM/ETM plus image with the field surveys.Using this relationship, green tide patches can be detected automatically from Landsat TM/ETM plus image.Considering there is brightness difference between different regions in an image, the image will be divided into a plurality of windows(sub-images) with a same size firstly, and then each window will be detected using an adaptive detection threshold determined according to the discovered linear relationship. It is found that big errors will appear in some windows, such as those covered by clouds seriously. To solve this problem, the moving step k of windows is proposed to be less than the window width n. Using this mechanism, most pixels will be detected[n/k]×[n/k] times except the boundary pixels, then every pixel will be assigned the final class(green tide or sea water) according to majority rule voting strategy. It can be seen from the experiments, the proposed detection method using multi-windows and their adaptive thresholds can detect green tide from Landsat TM/ETM plus image automatically. Meanwhile, it avoids the reliance on the accurate atmospheric correction.  相似文献   
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