Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements
暂无分享,去创建一个
Lubos Boruvka | Ales Klement | James Kobina Mensah Biney | Prince Chapman Agyeman | Karel Nemecek | L. Borůvka | A. Klement | K. Nemecek | P. Agyeman | J. Biney | K. Němeček | J. K. M. Biney | P. C. Agyeman
[1] D. Cozzolino,et al. Application of near Infrared Reflectance Spectroscopy for the Analysis of Organic C, Total N and pH in Soils of Uruguay , 2002 .
[2] B. Wesemael,et al. Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy , 2013 .
[3] A. Müller,et al. Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa , 2011 .
[4] B. Minasny,et al. Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon , 2011 .
[5] Guofeng Wu,et al. Visible and near-infrared reflectance spectroscopy-an alternative for monitoring soil contamination by heavy metals. , 2014, Journal of hazardous materials.
[6] Alex B. McBratney,et al. Laboratory evaluation of a proximal sensing technique for simultaneous measurement of soil clay and water content , 1998 .
[7] Luca Montanarella,et al. Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy , 2013, PloS one.
[8] H. Birch. The effect of soil drying on humus decomposition and nitrogen availability , 1958, Plant and Soil.
[9] Jingyun Fang,et al. Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment , 2019, Geoderma.
[10] Frans van den Berg,et al. Review of the most common pre-processing techniques for near-infrared spectra , 2009 .
[11] Johan Bouma,et al. Framing soils as an actor when dealing with wicked environmental problems , 2013 .
[12] H. Kaufmann,et al. Surface soil moisture quantification models from reflectance data under field conditions , 2008 .
[13] Alex B. McBratney,et al. Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy , 2003 .
[14] Yoel Shkolnisky,et al. Change detection of soils under small-scale laboratory conditions using imaging spectroscopy sensors , 2014 .
[15] T. Mueller,et al. Prediction of Soil Organic Carbon under Varying Moisture Levels using Reflectance Spectroscopy , 2014 .
[16] S. Wold,et al. Orthogonal projections to latent structures (O‐PLS) , 2002 .
[17] J. C. Price. How unique are spectral signatures , 1994 .
[18] Keith D. Shepherd,et al. Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring , 2015 .
[19] T. Behrens,et al. A method to generate soilscapes from soil maps , 2010 .
[20] M. Greve,et al. The Effects of Moisture Conditions—From Wet to Hyper dry—On Visible Near-Infrared Spectra of Danish Reference Soils , 2014 .
[21] Ron Wehrens,et al. The pls Package: Principal Component and Partial Least Squares Regression in R , 2007 .
[22] H. Ramon,et al. On-line measurement of some selected soil properties using a VIS–NIR sensor , 2007 .
[23] Rattan Lal,et al. The knowns, known unknowns and unknowns of sequestration of soil organic carbon , 2013 .
[24] Roland Hiederer,et al. Global soil carbon: understanding and managing the largest terrestrial carbon pool , 2014 .
[25] N. Spycher,et al. Mineral properties, microbes, transport, and plant-input profiles control vertical distribution and age of soil carbon stocks , 2017 .
[26] H. Ramon,et al. Towards development of on-line soil moisture content sensor using a fibre-type NIR spectrophotometer , 2005 .
[27] E. Ben-Dor,et al. Laboratory, field and airborne spectroscopy for monitoring organic carbon content in agricultural soils , 2007 .
[28] Craig F. Drury,et al. Predicting soil organic carbon and total nitrogen using mid- and near-infrared spectra for Brookston clay loam soil in Southwestern Ontario, Canada , 2011, Canadian Journal of Soil Science.
[29] S. Miyamoto,et al. Spectral properties of salt crusts formed on saline soils. , 2002, Journal of environmental quality.
[30] Michael Vohland,et al. Comparison of Portable and Bench-Top Spectrometers for Mid-Infrared Diffuse Reflectance Measurements of Soils , 2018, Sensors.
[31] Noel A Cressie,et al. Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO2 from Satellite Data , 2017, SIAM/ASA J. Uncertain. Quantification.
[32] Viacheslav I. Adamchuk,et al. A global spectral library to characterize the world’s soil , 2016 .
[33] L. Hoffmann,et al. Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy , 2010 .
[34] T. Jarmer,et al. Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: A feasibility study , 2003, Plant and Soil.
[35] C. D. Christy,et al. Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy , 2008 .
[36] Zhou Shi,et al. Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions , 2016 .
[37] J. De Baerdemaeker,et al. Characterization of Soil Water Content Using Measured Visible and Near Infrared Spectra , 2006 .
[38] M. Firestone,et al. Rewetting of soil: Revisiting the origin of soil CO2 emissions , 2020 .
[39] G. Aiken,et al. Effects of iron on optical properties of dissolved organic matter. , 2014, Environmental science & technology.
[40] C. C. Clark,et al. "Anting" behavior by common grackles and European starlings. , 1990 .
[41] J. De Baerdemaeker,et al. Multiplicative Scatter Correction during On-line Measurement with Near Infrared Spectroscopy , 2007 .
[42] José Alexandre Melo Demattê,et al. Visible–NIR reflectance: a new approach on soil evaluation , 2004 .
[43] G. McCarty,et al. The potential of diffuse reflectance spectroscopy for the determination of carbon inventories in soils. , 2002, Environmental pollution.
[44] G. Fystro. The prediction of C and N content and their potential mineralisation in heterogeneous soil samples using Vis–NIR spectroscopy and comparative methods , 2002, Plant and Soil.
[45] Yufeng Ge,et al. Prediction of soil organic and inorganic carbon at different moisture contents with dry ground VNIR: a comparative study of different approaches , 2016 .
[46] V. Bailey,et al. What do we know about soil carbon destabilization? , 2019, Environmental Research Letters.
[47] S. Wold,et al. Orthogonal signal correction of near-infrared spectra , 1998 .
[48] Mohammadmehdi Saberioon,et al. Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging , 2018, Remote Sensing of Environment.
[49] Robert J. Renka,et al. Algorithm 751: TRIPACK: a constrained two-dimensional Delaunay triangulation package , 1996, TOMS.
[50] M. Vohland,et al. Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy , 2011 .
[51] E. R. Stoner,et al. REFLECTANCE PROPERTIES OF SOILS , 1986 .
[52] W. S. Lee,et al. Effects of soil moisture content on absorbance spectra of sandy soils in sensing phosphorus concentrations using UV-VIS-NIR spectroscopy , 2006 .
[53] Peter D. Wentzell,et al. Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures , 2003 .
[54] Junjie Wang,et al. Improving the prediction of arsenic contents in agricultural soils by combining the reflectance spectroscopy of soils and rice plants , 2016, Int. J. Appl. Earth Obs. Geoinformation.