...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >Discriminating sea ice from low-level water clouds in split-window, mid-wavelength IR imagery
【24h】

Discriminating sea ice from low-level water clouds in split-window, mid-wavelength IR imagery

机译：在分窗口，中波长红外图像中区分低层水云中的海冰

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A technique is demonstrated to enhance the contrast between sea ice and low-level water clouds. The approach uses the brightness temperature difference (BTD) feature from data collected in the split-window, mid-wavelength infrared (IR) region (i.e. two bands at 3.7 μm and 4.0 μm). These spectral data are available with Visible Infrared Imager Radiometer Suite (VIIRS) moderate-resolution bands M12 and M13, respectively. Under daytime conditions, the data collected in these bands contain energy that originates from both the sun and the Earth-atmosphere system. Due to the small wavelength difference between these, the terrestrial energy component in the bands is typically quite similar as are the surface reflectances for sea ice and ocean surfaces. Thus, the enhanced contrast between sea ice and water clouds, evident in a M12-M13 BTD image, results from differences in the solar energy, which decreases rapidly across this atmospheric window. Observed BTD values for water clouds can exceed 30K, while those for snow-ice fields are typically much smaller (e.g. 0-5K). Thus, water clouds appear bright in the image while sea ice, oceans, and most land surfaces are very dark. The enhanced contrast in the split-window, mid-wave IR BTD image makes it valuable for both image analysis and use in cloud algorithms. In addition, these images support the creation of manually generated cloud masks that have been shown useful for quantitatively evaluating the performance of automated cloud analysis algorithms and cloud forecast models. In this article, the value of 3.7 μm minus 4.0 μm BTD imagery for distinguishing between sea ice and low-level water clouds is shown using VIIRS data collected over the Beaufort Sea on 31 May 2012. Manually generated cloud masks, derived in part from these data, are then used to quantitatively evaluate the effectiveness of various cloud tests, including those used in the VIIRS cloud mask algorithm and the Moderate Resolution Imaging Spectroradiometer (MODIS) cloud mask algorithm. The results strongly suggest that split-window, mid-wavelength IR imagery provides valuable information to help differentiate between clouds and sea ice. It is concluded that collecting data in these mid-wavelength IR bands should be considered part of any future satellite sensor designed for environmental monitoring, especially over the polar regions.
机译：演示了一种增强海冰与低层水云之间对比度的技术。该方法使用了从分离窗口中波长红外（IR）区域（即3.7μm和4.0μm的两个波段）收集的数据中的亮度温度差（BTD）功能。这些光谱数据分别可通过可见红外成像仪辐射计套件（VIIRS）的中等分辨率波段M12和M13获得。在白天情况下，这些波段中收集的数据包含来自太阳和地球大气系统的能量。由于它们之间的小波长差异，这些波段中的地面能量分量通常与海冰和海洋表面的表面反射率非常相似。因此，M12-M13 BTD图像中明显可见的海冰与水云之间的对比度增强是由于太阳能的差异而引起的，太阳能的差异在整个大气窗口中迅速减小。水云的观测BTD值可能会超过30K，而冰雪场的观测BTD值通常要小得多（例如0-5K）。因此，当海冰，海洋和大多数陆地表面非常暗时，水云在图像中显得明亮。分割窗口，中波IR BTD图像中增强的对比度使其对于图像分析和在云算法中的使用都是有价值的。此外，这些图像还支持创建手动生成的云蒙版，这些蒙版已显示对定量评估自动化云分析算法和云预测模型的性能非常有用。在本文中，使用2012年5月31日在波弗特海收集的VIIRS数据显示了用于区分海冰和低层水云的3.7μm减去4.0μmBTD图像的值。手动生成的云遮罩（部分源自这些遮罩）数据，然后用于定量评估各种云测试的有效性，包括VIIRS云掩模算法和中分辨率成像光谱仪（MODIS）云掩模算法中使用的测试。结果强烈表明，分割窗口的中波长红外图像提供了有价值的信息，有助于区分云层和海冰。结论是，在这些中波红外波段中收集数据应该被认为是任何未来为环境监测而设计的卫星传感器的一部分，尤其是在极地地区。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第20期|7131-7144|共14页
  • 作者

    Keith D. Hutchison; Robert L. Mahoney; Barbara D. Iisager;

  • 作者单位

    Center for Space Research (CSR), The University of Texas, Austin, TX, USA;

    Northrop Grumman Aerospace Systems, Redondo Beach, CA, USA;

    Northrop Grumman Information Systems, Redondo Beach, CA, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号