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新疆塔里木盆地北缘铀矿勘查中高分辨率遥感分析应用 总被引：1，自引：0，他引：1
高分辨率遥感技术(包括高空间分辨率和高光谱分辨率)是新世纪以来地质勘查领域的重要新技术、新方法。本文以新疆塔里木盆地北缘巴什布拉克铀矿区和柯坪地区为例,研究了Quickbird高空间分辨率卫星遥感技术和CASI(Compact Airborne Spectrographic Imager)/SASI (Shortwave infrared Airborne Spectrographic Imager)航空高光谱遥感技术在铀矿勘查中的应用。首先,介绍了Quickbird和CASI/SASI高分辨率遥感数据的特点和处理方法;然后,分析了Quickbird高空间分辨率遥感技术在新疆塔里木盆地北缘巴什布拉克铀矿区油气还原褪色蚀变识别与空间分布规律分析中的应用,为铀矿油气还原成因研究和外围找矿方向提供重要依据;并研究了Quickbird与CASI/SASI两种高分辨率遥感技术在新疆塔里木盆地北缘柯坪地区铀矿勘查中的应用,发现了萨拉姆布拉克铀矿化带及其铀矿化蚀变空间分布特征,确定了铀矿化蚀变类型,预测了铀矿找矿靶区,为该地区铀矿勘查的新突破提供了重要依据。上述应用表明,高分辨率遥感技术在铀矿地质勘查领域可以取得很好的应用效果,值得广大遥感地质工作者今后进一步深入挖掘其应用潜力。 相似文献
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能源勘查、岩石矿物识别、矿物丰度制图以及成矿远景区圈定是高光谱技术发展和应用的主要方向。CASI/SASI航空高光谱数据可以在同一平台下同时获取覆盖可见光-近红外-短波红外光谱段的光谱信息, 且光谱分辨率和空间分辨率远远优于多光谱及星载高光谱数据, 所以在矿物蚀变信息提取中具有广泛的应用前景。以柳园研究区为研究对象, 对CASI/SASI航空高光谱遥感矿物过程中的关键技术进行了实验研究, 确定出航空高光谱矿物蚀变信息提取流程, 并对研究区蚀变矿物进行识别、填图。通过与研究区地质资料和前人实地勘探资料对比得出, 研究区CASI/SASI航空高光谱遥感蚀变异常结果与现实状况相当吻合。 相似文献
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机载高光谱具有高光谱分辨率和高空间分辨率的特点,展现出了独特的优势。机载高光谱数据的几何校正精度,直接影响着数据能否正常使用,是数据预处理中的关键问题。传统的空中三角测量技术必须依靠地面控制点才可以解算影像的外方位元素,工作量大,而且在无法测量地面控制点的区域不能使用。本文在分析CASI/SASI系统几何校正原理的基础上,结合POS AV系统,设计了一套几何检校方案;检验结果表明,在测区范围内无地面控制点的情况下,利用检校场飞行解算的相关数据,CASI/SASI高光谱数据的几何精度达到了要求。 相似文献
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Increasingly, remote sensing has become a useful tool for mapping and measuring terrestrial and aquatic environments. Advances in the spatial and spectral resolution of satellite-borne sensors have allowed affordable investigations of littoral macrotidal coastal systems that previously required more costly aircraft-based imagery. In this communication, we compare the results from analysis of a 4 m spatial resolution, multispectral IKONOS satellite image of the intertidal habitats of Islesboro, Maine, USA with that of an aerial compact airborne spectral imager survey of the same regions captured 4 years earlier. There was 72% agreement between the surveys in spite of the temporal gaps between the images. Accuracy varied by habitat class and the perceived error can be assigned to temporal and definitional issues rather than basic acquisition and analytic protocols. Most of the error can be explained by: (1) inadequacy of training sites, (2) temporal variations and (3) class definitions. We conclude that IKONOS imagery provides sufficient spatial and spectral resolution to map and monitor diverse intertidal habitats as found in the macrotidal Gulf of Maine. 相似文献
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美国西部黄松叶面积指数与高光谱分辨率CASI数据的相关分析 总被引：3，自引：0，他引：3
本文介绍了美国俄罗冈州西部黄松的叶面积指数(LAI)与小型航空光谱制图成像仪(CASI)获取的高光谱分辨率数据进行的相关分析。在试验场地上使用LAI-2000植物冠层分析仪测得8个LAI值(0.87—2.72)。对CASI数据进行一阶和二阶微分处理,以减少土壤背景光谱对森林光谱的影响。使用逐步回归分析方法探索LAI与CASI数据的关系。由回归分析产生多元线性方程和相应的拟合度(GOF)及估计LAI的标准误(SE)。结果说明光谱微分技术能够提高LAI和CASI数据的相关性,因而可以改善LAI的估计精度。如,对于单通道LAI预测的最高GOF值是0.681,SE是0.345,而经一阶和二阶光谱微分处理后,GOF被分别提高到0.904和0.898,SE被分别降低到0.189和0.195. 相似文献
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Jesús Delegido Luis AlonsoGonzalo González José Moreno 《International Journal of Applied Earth Observation and Geoinformation》2010
The Normalized Area Over reflectance Curve (NAOC) is proposed as a new index for remote sensing estimation of the leaf chlorophyll content of heterogeneous areas with different crops, different canopies and different types of bare soil. This index is based on the calculation of the area over the reflectance curve obtained by high spectral resolution reflectance measurements, determined, from the integral of the red–near-infrared interval, divided by the maximum reflectance in that spectral region. For this, use has been made of the experimental data of the SPARC campaigns, where in situ measurements were made of leaf chlorophyll content, LAI and fCOVER of 9 different crops – thus, yielding 300 different values with broad variability of these biophysical parameters. In addition, Proba/CHRIS hyperspectral images were obtained simultaneously to the ground measurements. By comparing the spectra of each pixel with its experimental leaf chlorophyll value, the NAOC was proven to exhibit a linear correlation to chlorophyll content. Calculating the correlation between these variables in the 600–800 nm interval, the best correlation was obtained by computing the integral of the spectral reflectance curve between 643 and 795 nm, which practically covers the spectral range of maximum chlorophyll absorption (at around 670 nm) and maximum leaf reflectance in the infrared (750–800 nm). Based on a Proba/CHRIS image, a chlorophyll map was generated using NAOC and compared with the land-use (crops classification) map. The method yielded a leaf chlorophyll content map of the study area, comprising a large heterogeneous zone. An analysis was made to determine whether the method also serves to estimate the total chlorophyll content of a canopy, multiplying the leaf chlorophyll content by the LAI. To validate the method, use was made of the data from another campaign ((SEN2FLEX), in which measurements were made of different biophysical parameters of 7 crops, and hyperspectral images were obtained with the CASI imaging radiometer from an aircraft. Applying the method to a CASI image, a map of leaf chlorophyll content was obtained, which on, establishing comparisons with the experimental data allowed us to estimate chlorophyll with a root mean square error of 4.2 μg/cm2, similar or smaller than other methods but with the improvement of applicability to a large set of different crop types. 相似文献