Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory
نویسندگان
چکیده
منابع مشابه
Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory
The scaling effect correction of retrieved parameters is an essential and difficult issue in analysis and application of remote sensing information. Based on fractal theory, this paper developed a scaling transfer model to correct the scaling effect of the leaf area index (LAI) estimated from coarse spatial resolution image. As the key parameter of the proposed model, the information fractal di...
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The correction of spatial scaling bias on the estimate of leaf area index (LAI) retrieved from remotely sensed data is an essential issue in quantitative remote sensing for vegetation monitoring. We analyzed three techniques, including Taylor’s theorem (TT), Wavelet-Fractal technique (WF), and Fractal theory (FT), for correcting the scaling bias of LAI with empirical models in different functio...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2016
ISSN: 2072-4292
DOI: 10.3390/rs8030197