کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5755564 1621800 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Smoothing and gap-filling of high resolution multi-spectral time series: Example of Landsat data
ترجمه فارسی عنوان
خنثی سازی و پرکردن فاصله زمانی چندتایی طیفی با وضوح بالا: مثال داده های لندست
کلمات کلیدی
سری زمانی، گاف پر کردن، فیلتر کردن،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
چکیده انگلیسی
This paper introduces a novel methodology for generating 15-day, smoothed and gap-filled time series of high spatial resolution data. The approach is based on templates from high quality observations to fill data gaps that are subsequently filtered. We tested our method for one large contiguous area (Bavaria, Germany) and for nine smaller test sites in different ecoregions of Europe using Landsat data. Overall, our results match the validation dataset to a high degree of accuracy with a mean absolute error (MAE) of 0.01 for visible bands, 0.03 for near-infrared and 0.02 for short-wave-infrared. Occasionally, the reconstructed time series are affected by artefacts due to undetected clouds. Less frequently, larger uncertainties occur as a result of extended periods of missing data. Reliable cloud masks are highly warranted for making full use of time series.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Applied Earth Observation and Geoinformation - Volume 57, May 2017, Pages 202-213
نویسندگان
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