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首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >A method for compositing MODIS images to remove cloud cover over Himalayas for snow cover mapping
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A method for compositing MODIS images to remove cloud cover over Himalayas for snow cover mapping

机译：合成MODIS图像以去除喜马拉雅山上的云层以进行雪层映射的方法

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Snow plays an important role in the global energy and water budgets, as a result of its high albedo, thermal and water storage properties. Snow is also the largest varying landscape feature of the Earth's surface. Snow cover influences several processes that occur at or near earth surfaces. The snow cover extent of the snowpack is an extremely useful snow hydrology and climate variable for a number of reasons. The major problem in snow cover mapping is cloud because of high altitude position. Due to similar reflectance between snow and clouds it can be difficult to distinguish the snow information with spectral information alone. NASA's satellites Aqua and Terra MODIS have 36 channels onboard which significantly contributes to study the snow parameters. However, persistent cloud cover over Himalayan region limits the applicability of individual MODIS image with cloud cover. One solution to minimize the effect of cloud cover is to produce a composite image of cloud free pixels selected from several satellite passes of the same area and separated by time using image compositing algorithm. In this study to identify the cloud region MODIS cloud mask product MOD35 is used. This cloud mask products ability to mask the cloudy pixels over snow cover region gave better results than other methods. To check the accuracy of this method snow cover area has been calculated by different existing image compositing method. Further, the results were compared with snow cover area value derived from a cloud free dated image. This comparative study shows accuracy of the new compositing method using MODIS cloud mask product MOD 35.
机译：由于其高的反照率，热量和水的存储特性，雪在全球能源和水的预算中扮演着重要的角色。雪也是地球表面变化最大的景观特征。积雪会影响在地表或其附近发生的几个过程。由于许多原因，积雪的积雪范围是极为有用的积雪水文和气候变量。由于高海拔位置，积雪制图中的主要问题是云。由于雪和云之间的反射率相似，因此仅凭光谱信息就很难区分雪信息。美国国家航空航天局（NASA）的卫星Aqua和Terra MODIS拥有36个车载频道，对研究降雪参数做出了重要贡献。但是，喜马拉雅地区的持续云层覆盖限制了单个MODIS图像具有云层覆盖的适用性。最小化云层覆盖影响的一种解决方案是生成一个无云像素的合成图像，该图像从相同区域的多个卫星通道中选择，并使用图像合成算法按时间分开。在这项研究中，使用MODIS云遮罩产品MOD35来识别云区域。与其他方法相比，这种云遮罩产品能够遮盖积雪区域上的浑浊像素的能力提供了更好的结果。为了检查该方法的准确性，已经通过不同的现有图像合成方法计算了积雪面积。此外，将结果与从无云过时图像得出的积雪面积值进行了比较。这项比较研究显示了使用MODIS云遮罩产品MOD 35的新合成方法的准确性。

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