چکیده مقاله
Recent advances in hyperspectral remote sensing have enabled detailed characterization of soil properties due to their high spectral resolution This study investigates the spectral behavior of the soil silt fraction using laboratory reflectance spectroscopy Soil samples were collected from the upper 20 cm of the soil profile using a stratified random sampling approach based on auxiliary information layers in Mazandaran Province, northern Iran Hyperspectral preprocessing techniques including spectral averaging, Savitzky Golay smoothing, and first derivative transformations were applied to enhance spectral features Influential spectral domains and wavelength ranges associated with soil silt content were identified through correlation analysis The highest correlation coefficients between silt content and spectral bands were observed at 390 nm R = 0 44 , 680 nm R = 0 54 , 970 990 nm R = 0 59 , 1400 1410 nm R = 0 64 , 1910 1930 nm R = 0 67 , 2200 2210 nm R = 0 69 , and 2340 2350 nm R = 0 71 These wavebands exhibited strong potential as independent predictor variables for soil silt modeling The identified diagnostic spectral ranges provide a foundation for future upscaling and digital soil mapping applications using airborne and spaceborne hyperspectral data
کلیدواژهها
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شیوه ارجاع
در صورتی که می خواهید در اثر پژوهشی خود به این مقاله ارجاع دهید، به سادگی می توانید از عبارت زیر در بخش منابع و مراجع استفاده نمایید: Danesh, Majid and Emadi, Seyed Mostafa and Bahmanyar, Moahammad Ali,1404,Spectral Wavelength Reconnaissance for Investigating Soil Silt Content,Fourth International Conference of Soil and Water Science Students,Tehran,https://civilica.com/doc/2624090
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