Jeehwan Bae : Paper of the week & Book of the month

Author  :  Tümsavaş Zeynal,  Tekin Yücel,  Ulusoy Yahya,  Mouazen Abdul M Year  : 2019 Title  :  Prediction and mapping of soil clay and sand contents using visible and near-infrared spectroscopy Journal  :  Biosystems engineering Comment   :    The aim of this research was to examine the potential of visible and near infrared (Vis -NIR) spectroscopy for the prediction and mapping of sand and clay fractions of soils.  This study demonstrated that soil sand and clay can be successfully  measured and mapped using Vis-NIR spectroscopy under both laboratory and  on-line scanning conditions.  A partial least squares  (PLS)  regression with leave-one-out  cross-validation analysis was carried out using the calibration set, and the resulting  model prediction ability was tested using the prediction set.   Models developed were used  to predict sand and ...

Author  :  Soltani, I.  Fouad, Y.  Michot, D.  Breger, P.  Dubois, R.  Cudennec, C. Year  : 2019 Title  :  A near infrared index to assess effects of soil texture and organic carbon content on soil water content Journal  :  European Journal of Soil Science Comment   :   Characterization of soil hydrodynamic properties is important for assessing the soil water regime. Over the last decades, diffuse reflectance spectroscopy (DRS)  techniques have been used increasingly. Methods based on DRS  offer several advantages compared with conventional ones because  they are rapid, cost-effective and non-destructive. Therefore, the  spread within the soil science community of soil spectroscopy in  the visible (vis), near (NIR) and mid-infrared (MIR) spectral ranges  enabled various physical, chemical and biological soil properties to  be assessed.  Spectra were con...

Author  :  Chongfeng Gonga, Shixiao Yua, Heather Joesting, Jiquan Chen Year  : 2013 Title  :  Determining socioeconomic drivers of urban forest fragmentation with historical remote sensing images Journal  :  Landscape and Urban Planning Comment   :  To quantify the land-use change during this rapid urbanization process and explore the underline drivers, nine sets of Landsat images from 1973 through 2005 were used to calculate the landscape metrics of forest patches.   They found that the forest in Shen-zhen had been restored to 85.85% of pre-urbanization coverage by 2005, but was characterized with smaller, isolated patches across the landscape.   The changes in patch density, distribution, and shape during the 30-year study period were nonlinear and defined by episodic periods. The stepwise multiple regression models with socioeconomic drivers provided further explanation for fragmentation rates in pa...

Author  :  Meihua Yang, Dongyun Xu, Songchao Chen, Hongyi Li  and Zhou Shi Year  : 2019 Title  :  Evaluation of Machine Learning Approaches to  Predict Soil Organic Matter and pH Using  vis-NIR Spectra Journal  :  Sensors Comment   :   Visible-near infrared (vis-NIR) spectroscopy with multivariate calibration can be used to effectively estimate soil properties. In this study, 523 soil samples were collected from paddy fields in the Yangtze Plain, China.  Four machine learning approaches—partial least squares regression (PLSR), least squares-support vector machines (LS-SVM), extreme learning machines (ELM) and the Cubist regression model (Cubist)—were used to compare the prediction accuracy based on vis-NIR full bands and bands reduced using the genetic algorithm (GA). The coefficient of determination (R2), root mean square error (RMSE), and ratio of performance to inter-quartile distance (RPIQ) we...

Author  :  Wenjuan Sun, Xinju Li, Beibei Niu Year  : 2018 Title  :  Prediction of soil organic carbon in a coal  mining area by Vis-NIR spectroscopy Journal  :  PLOS one Comment   :   Visible-near infrared (Vis-NIR) spectroscopy has been shown to be a rapid, timely and efficient tool for the prediction of soil organic carbon (SOC).   In this study, 104 soil samples were collected from the Baodian mining area of Shandong province. Vis-NIR reflectance spectra and SOC content were then measured under laboratory conditions.   The spectral data were first denoised using the Savitzky-Golay (SG) convolution smoothing method or the multiple scattering correction (MSC) method, after which the spectral reflectance (R) was subjected to reciprocal, reciprocal logarithm and differential transformations to improve spectral sensitivity.   Finally, regression models for estimating the SOC c...

Author  :  Eleanor Hobley, Markus Steffens, Sara L. Bauke & Ingrid Kögel-Knabner Year  : 2018 Title  :  Hotspots of soil organic carbon  storage revealed by laboratory  hyperspectral imaging Journal  :  Scientific Reports Comment   :   They tested the application  of laboratory hyperspectral imaging with a variety of machine learning approaches to predict OC  distribution in undisturbed soil cores.  Despite a  large increase in variance and reduction in OC content with increasing depth, the high resolution of the  images enabled statistically powerful analysis in spatial distribution of OC in the soil cores.  Laboratory hyperspectral imaging enables  powerful, fine-scale investigations of the vertical distribution of soil OC as well as hotspots of OC  storage in undisturbed samples, overcoming limitations of traditional soil sampling campaigns.

Author  :  Shengyao Jia, Hongyang Li, Yanjie Wang, Renyuan Tong and Qing Li Year  : 2017 Title  :  Hyperspectral Imaging Analysis for the Classification  of Soil Types and the Determination of Soil  Total Nitrogen Journal  :  Sensors Comment   :   In this work, hyperspectral  imaging (HSI) technology was applied for the classification of soil types and the measurement of soil  total nitrogen (TN) content.  A total of 183 soil samples collected from Shangyu City (People’s Republic  of China), were scanned by a near-infrared hyperspectral imaging system with a wavelength range of  874–1734 nm.   The successive projections algorithm (SPA) method was utilized  to select effective wavelengths from the full spectrum. Pattern texture features (energy, contrast,  homogeneity and entropy) were extracted from the gray-scale images at the effective wavelengths.  The supp...