期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2015
卷号：XL-7/W3
页码：237-242
DOI：10.5194/isprsarchives-XL-7-W3-237-2015
出版社：Copernicus Publications
摘要：Suomi National Polar-orbiting Partnership (NPP) is the first of a new generation of NASA's Earth-observing research satellites. The Suomi NPP Visible Infrared Imaging Radiometer Suite (VIIRS) collects visible and infrared views of Earth's dynamic surface processes. This NPP mission produces a series of Environmental Data Records (EDRs). As accurate information on cloud occurrence is of utmost importance for a wide range of remote-sensing applications and analyses, we developed a cloud mask algorithm, adapted from the Landsat 7 Automatic Cloud Cover Assessment, for use with the VIIRS Imagery EDRs. The algorithm consists of a sequence of pixel-based tests that use thresholds on VIIRS top-of-atmosphere reflectances and brightness temperatures. Our cloud mask algorithm provides a simpler, though less informative and robust, alternative to the VIIRS Cloud Mask (VCM) Intermediate Product, with the advantage in that it can be applied to a higher spatial resolution VIIRS Imagery EDR. The algorithm is compared with the VCM in three case studies.
