کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6949568 1451278 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Geostatistical estimation of signal-to-noise ratios for spectral vegetation indices
ترجمه فارسی عنوان
برآورد ژئواستاتنتیکی نسبت سیگنال به نویز برای شاخص های رشد طیفی
کلمات کلیدی
آمار زمین شناسی واریانس نهایی، سومیاریوگرام، نسبت سیگنال به نویز، شاخص رشد طیفی، سر و صدای استاندارد
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
چکیده انگلیسی
In the past 40 years, many spectral vegetation indices have been developed to quantify vegetation biophysical parameters. An ideal vegetation index should contain the maximum level of signal related to specific biophysical characteristics and the minimum level of noise such as background soil influences and atmospheric effects. However, accurate quantification of signal and noise in a vegetation index remains a challenge, because it requires a large number of field measurements or laboratory experiments. In this study, we applied a geostatistical method to estimate signal-to-noise ratio (S/N) for spectral vegetation indices. Based on the sample semivariogram of vegetation index images, we used the standardized noise to quantify the noise component of vegetation indices. In a case study in the grasslands and shrublands of the western United States, we demonstrated the geostatistical method for evaluating S/N for a series of soil-adjusted vegetation indices derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. The soil-adjusted vegetation indices were found to have higher S/N values than the traditional normalized difference vegetation index (NDVI) and simple ratio (SR) in the sparsely vegetated areas. This study shows that the proposed geostatistical analysis can constitute an efficient technique for estimating signal and noise components in vegetation indices.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: ISPRS Journal of Photogrammetry and Remote Sensing - Volume 96, October 2014, Pages 20-27
نویسندگان
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