کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4459467 1621285 2011 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A cloud detection algorithm for AATSR data, optimized for daytime observations in Canada
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
A cloud detection algorithm for AATSR data, optimized for daytime observations in Canada
چکیده انگلیسی

To extract information about the Earth's surface from Earth Observation data, a key processing step is the separation of pixels representing clear-sky observations of land or water surfaces from observations substantially influenced by clouds. This paper presents an algorithm used for this purpose specifically for data from the AATSR sensor on ENVISAT. The algorithm is based on the structure of the SPARC cloud detection scheme developed at CCRS for AVHRR data, then modified, calibrated and validated for AATSR data. It uses a series of weighted tests to calculate per-pixel cloud presence probability, and also produces an estimate of cloud top height and a cloud shadow flag. Algorithm parameters have been optimized for daytime use in Canada, and evaluation shows good performance with a mean daytime kappa coefficient of 0.76 for the ‘cloud’/‘clear’ classification when compared to independent validation data. Performance is independent of season, and is a dramatic improvement over the existing AATSR L1B cloud flag for Canada. The algorithm will be used at CCRS for processing AATSR data, and will form the basis of similar processing for data from the SLSTR sensors on Sentinel-3.


► We present a cloud probability algorithm for AATSR data.
► The algorithm outperforms all other available algorithms for Canada.
► The algorithm will be used for AATSR processing at CCRS.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 115, Issue 12, 15 December 2011, Pages 3153–3164
نویسندگان
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