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选取反映大气环流作用的500hPa的三个因子场:1956~2001年环流特征量、振幅和位相资料作为预报因子与钦州市1957~2002年5月降水量求相关比,将求得的高相关比因子用非线性映象法制作钦州市1995~2002年5月的降水量预报,试报效果明显。 相似文献
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用空间分辨率为1km的MODIS和MISR数据可计算16天BRDF和反照率产品,该文证明了在多数采样条件下,用MODIS/MISR角度采样的BRDF和反照率反演精度在5到10个百分点以内。 相似文献
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遥感技术在区域地质调查中的应用研究进展 总被引:10,自引:0,他引:10
论述了1∶5万区域地质调查中的图像信息理论及其应用意义;讨论了遥感岩石学、影像地层学、遥感构造分析、环境地质与生态地质遥感地质解译填图的基础理论和方法;论述了影像地质界线的基本信息类型及其信息理解过程;提出了影像地质信息的多级识别方法和空间模糊叠加分析方法;最后探讨了区域地质调查中遥感技术的发展趋势。 相似文献
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利用高分辨率卫星影像进行地震损失评价所需的城市特征识别 总被引:2,自引:0,他引:2
高分辨率卫星影像已经在一些国家的民用领域得到应用。利用高分辨率卫星影像来收集地震损失评价所需要的各类城市信息不仅高效和有较好的时间分辨率,而且它可以减少以往所必需的大量的代价高昂且费力的城市调查。基于在印度城市台拉登所做的研究,讨论了如何利用高分辨率卫星影像进行城市特征识别的一些问题,同时也简单论述了利用GIS/RS软件综合所得的数据以便用于地震损失评价的方法。 相似文献
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A New Model for Quantifying Anisotropic Scale Invariance and for Decomposition of Mixing Patterns 总被引:1,自引:0,他引:1
Qiuming Cheng 《Mathematical Geology》2004,36(3):345-360
A new power–law function has been derived to represent the relationship between area of the set consisting of wave numbers with spectral energy density above S (A(>S)) on the two-dimensional frequency plane and S. The power–law relation holds if the field concerned possessing isotropic scale invariance or generalized scaling invariance involves rotational and ratio-scale changing transforms. The equation is valid for dealing with common exploration geophysical and geochemical fields encountered in mineral exploration and environmental assessment. This power–law function not only provides a new model for characterizing anisotropic scaling invariance for generalized scaling field, for example, estimating the power exponent of power spectrum of generalized scale invariance measure in frequency domain, but also forms a theoretical base for the S–A filtering technique developed for decomposing a mixing field into components on the basis of distinct scaling properties in the frequency domain. It is demonstrated that the method has potential to become a general technique for image processing and pattern recognition. 相似文献
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基于二维小波变换的FMI图象分割 总被引:1,自引:0,他引:1
为了从FMI资料中定量提取参数,一个重要的步骤是从实际FMI资料中分离出反映溶孔、溶洞、裂缝的子图像。本文给出的方法,考虑图像像元邻域的特征,应用二维小波变换求出目标与背景边缘的点集,按这个边缘点集的坐标点所对应的原图像像素灰度值的平均值作为分割阈值进行图像分割。实际资料处理表明,应用这种方法可以从实际的FMI资料中准确地分割出孔洞、裂缝的子图像并且可以按深度段连续自动处理,为后续定量计算参数奠定了良好基础。 相似文献
20.
Based on the land surface temperature (LST), the land cover classification map,vegetation coverage, and surface evapotranspiration derived from EOS-MODIS satellite data, and by the use of GIS spatial analytic technique and multivariate statistical analysis method, the urban heat island (UHI) spatial distribution of the diurnal and seasonal variabilities and its driving forces are studied in Beijing city and surrounding areas in 2001. The relationships among UHI distribution and landcover categories, topographic factor, vegetation greenness, and surface evapotranspiration are analyzed. The results indicate that: (i) The significant UHI occur in Beijing city areas in the four seasons due to high heat capacity and multi-reflection of compression building, as well as with special topographic features of its three sides surrounded by mountains,especially in the summer. The UHI spatial distribution is corresponding with the urban geometry structure profile. The LST difference is approximately 4-6℃ between Beijing city and suburb areas, comparatively is 8- 10℃ between Beijing city area and outer suburb area in northwestern regions. (ii) The UHI distribution and intensity in daytime are different from nighttime in Beijing city area, the nighttime UHI is obvious. However, in the daytime, the significant UHI mainly appears in the summer, the autumn takes second place, and the UHI in the winter and the spring seem not obvious. The surface evapotranspiration in suburb areas is larger than that in urban areas in the summer, and high latent heat exchange is evident, which leads to LST difference between city area and suburb area. (iii) The reflection of surface landcover categories is sensitive to the UHI, the correlation between vegetation greenness and UHI shows obviously negative.The scatterplot shows that there is the negative correlation between NDVI and LST (R2 = 0.6481).The results demonstrate that the vegetation greenness is an important factor for reducing the UHI,and large-scale construction of greenbelts can considerably reduce the UHI effect. 相似文献