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Extensive goniometric spectral measurements at desert sites for military engineering

机译:沙漠地点用于军事工程的大量测角光谱测量

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Remote-sensing technology designed to exploit disturbed earth signatures has become extremely useful in the detection of disturbed soil in military areas of operation. Soil reflectance can be exploited for this purpose and is dependent on atmospheric conditions. An understanding of the in situ soil background is vital to any type of change detection. Researchers from the Engineering Research and Development Center (ERDC) conducted OCONUS soil spectral measurements at ten sites in Afghanistan from July to November, 2011. Sampling sites were chosen on the basis of geomorphic setting, surface-soil characteristics, and field-expedient conditions. Goniometric spectral measurements at these sites have provided high quality bi-directional reflectance data, and their analyses are presented in the context of threat recognition and discrimination. These data can also provide the basis for BDRF model validation. Most spectral data were acquired under ambient solar lighting, but other data were collected at night and under artificial illumination conditions. Bidirectional measurements of soil reflectance in the VIS/NIR and SWIR were taken using the University of Lethbridge Goniometer System (ULGS) at dawn, mid-day, dusk and after sunset with a light. Soil surface roughness and reflectance varied, depending on the presence of desert varnish and desert pavement at some sites. Sun angle and dust and smoke in the atmosphere impacted soil reflectance and noise in the SWIR part of the light spectrum, in particular. The presence of minerals such as calcium carbonate, gypsum, and oxidized iron in the subsurface directly impacted reflectance measurements in disturbed soil.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:旨在利用受干扰的地球信号的遥感技术在军事行动区域中检测受干扰的土壤方面已变得极为有用。土壤反射率可用于此目的,并且取决于大气条件。对原位土壤背景的了解对于任何类型的变化检测都是至关重要的。工程研究与发展中心(ERDC)的研究人员于2011年7月至2011年11月在阿富汗的10个地点进行了OCONUS土壤光谱测量。根据地貌设置,地表土壤特征和现场条件,选择了采样地点。这些地点的测角光谱测量提供了高质量的双向反射率数据,其分析是在威胁识别和区分的背景下进行的。这些数据还可以为BDRF模型验证提供基础。大多数光谱数据是在环境太阳能照明下获取的,而其他数据则是在夜间和人工照明条件下收集的。 VIS / NIR和SWIR中的土壤反射率的双向测量是使用莱斯布里奇大学测角计系统(ULGS)在黎明,中午,黄昏和日落之后的灯光下进行的。土壤表面的粗糙度和反射率会有所不同,具体取决于某些地点的沙漠清漆和沙漠路面。尤其是太阳角,大气中的尘埃和烟雾会影响土壤的反射率和SWIR光谱中的噪声。地下存在的诸如碳酸钙,石膏和氧化铁等矿物质直接影响着扰动土壤中的反射率测量。©(2012)版权,光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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