Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy
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[1] B. V. Rao,et al. Hardgrove grindability index prediction using support vector regression , 2009 .
[2] M. Vennetier,et al. Predicting soil quality indices with near infrared analysis in a wildfire chronosequence. , 2009, The Science of the total environment.
[3] J. Franke,et al. Soil heterogeneity at the field scale: a challenge for precision crop protection , 2008, Precision Agriculture.
[4] R. V. Rossel,et al. Soil organic carbon prediction by hyperspectral remote sensing and field vis-NIR spectroscopy: An Australian case study , 2008 .
[5] Sabine Grunwald,et al. Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra , 2008 .
[6] M. Schaepman,et al. Spectral reflectance based indices for soil organic carbon quantification , 2008 .
[7] P. Lagacherie,et al. Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements , 2008 .
[8] Kristof Van Oost,et al. The relationship between landform and the distribution of soil C, N and P under conventional and minimum tillage , 2008 .
[9] W. Detar,et al. Detection of Soil Properties with Airborne Hyperspectral Measurements of Bare Fields , 2008 .
[10] Sabine Chabrillat,et al. Imaging Spectrometry for Soil Applications , 2008 .
[11] Alex B. McBratney,et al. Soil organic carbon prediction by hyperspectral remote sensing and fi eld vis-NIR spectroscopy : An Australian case study , 2008 .
[12] Beth K. Gugino,et al. Farmer-oriented assessment of soil quality using field, laboratory, and VNIR spectroscopy methods , 2008, Plant and Soil.
[13] Bas van Wesemael,et al. Regional assessment of soil organic carbon changes under agriculture in Southern Belgium (1955-2005) , 2007 .
[14] E. Ben-Dor,et al. Laboratory, field and airborne spectroscopy for monitoring organic carbon content in agricultural soils , 2007 .
[15] N. M. Faber,et al. How to avoid over-fitting in multivariate calibration--the conventional validation approach and an alternative. , 2007, Analytica chimica acta.
[16] W. S. Lee,et al. REFLECTANCE SPECTROSCOPY FOR ROUTINE AGRONOMIC SOIL ANALYSES , 2007 .
[17] Ron Wehrens,et al. The pls Package: Principal Component and Partial Least Squares Regression in R , 2007 .
[18] M. D. Río-Celestino,et al. Near-Infrared Reflectance Spectroscopy , 2007 .
[19] U. Schmidhalter,et al. High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures , 2006 .
[20] Budiman Minasny,et al. Simulation of soil thickness evolution in a complex agricultural landscape at fine spatial and temporal scales , 2006 .
[21] J. Poesen,et al. Spatial patterns of land degradation and their impacts on the water balance of rainfed treecrops: A case study in South East Spain , 2006 .
[22] Bernard Tychon,et al. Detection of carbon stock change in agricultural soils using spectroscopic techniques , 2006 .
[23] Daniel Schläpfer,et al. An automatic atmospheric correction algorithm for visible/NIR imagery , 2006 .
[24] R. V. Rossel,et al. Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties , 2006 .
[25] P. Miller,et al. Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana , 2005 .
[26] P. Lootens,et al. Possibilities of near infrared reflectance spectroscopy for the prediction of organic carbon concentrations in grassland soils , 2005, The Journal of Agricultural Science.
[27] Lei Tian,et al. SOIL FERTILITY CHARACTERIZATION IN AGRICULTURAL FIELDS USING HYPERSPECTRAL REMOTE SENSING , 2005 .
[28] Monica Odlare,et al. Near infrared reflectance spectroscopy for assessment of spatial soil variation in an agricultural field , 2005 .
[29] C. Hurburgh,et al. INFLUENCE OF SOIL MOISTURE ON NEAR-INFRARED REFLECTANCE SPECTROSCOPIC MEASUREMENT OF SOIL PROPERTIES , 2005 .
[30] Shiv O. Prasher,et al. Development of field-scale soil organic matter content estimation models in eastern Canada using airborne hyperspectral imagery , 2005 .
[31] L. K. Sørensen,et al. Determination of Clay and Other Soil Properties by Near Infrared Spectroscopy , 2005 .
[32] P. Smith. Monitoring and verification of soil carbon changes under Article 3.4 of the Kyoto Protocol , 2004 .
[33] Eyal Ben-Dor,et al. Quality assessment of several methods to recover surface reflectance using synthetic imaging spectroscopy data , 2004 .
[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] Jerome J. Workman,et al. Near-infrared spectroscopy in agriculture , 2004 .
[36] P. Eilers. A perfect smoother. , 2003, Analytical chemistry.
[37] D. Lobell,et al. Moisture effects on soil reflectance , 2002 .
[38] B. Marx,et al. Multivariate calibration stability: a comparison of methods , 2002 .
[39] A. Karnieli,et al. Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel , 2002 .
[40] S. Wold,et al. PLS-regression: a basic tool of chemometrics , 2001 .
[41] C. Hurburgh,et al. Near-Infrared Reflectance Spectroscopy–Principal Components Regression Analyses of Soil Properties , 2001 .
[42] T. Iwata,et al. Elimination of the Uninformative Calibration Sample Subset in the Modified UVE(Uninformative Variable Elimination)–PLS (Partial Least Squares) Method , 2001, Analytical sciences : the international journal of the Japan Society for Analytical Chemistry.
[43] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[44] Eyal Ben-Dor,et al. Determination of surface reflectance from raw hyperspectral data without simultaneous ground data measurements: A case study of the GER 63-channel sensor data acquired over Naan, Israel , 2000 .
[45] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[46] A. Rencz,et al. Remote sensing for the earth sciences , 1999 .
[47] Brian D. Marx,et al. Generalized Linear Regression on Sampled Signals and Curves: A P-Spline Approach , 1999, Technometrics.
[48] S. Ustin,et al. Remote sensing of soil properties in the Santa Monica mountains I. Spectral analysis , 1998 .
[49] Pete Smith,et al. A European network of long-term sites for studies on soil organic matter , 1998 .
[50] Alexander J. Smola,et al. Learning with kernels , 1998 .
[51] J. Deckers,et al. World Reference Base for Soil Resources , 1998 .
[52] Paul H. C. Eilers,et al. Flexible smoothing with B-splines and penalties , 1996 .
[53] E. Ben-Dor,et al. NEAR INFRARED ANALYSIS (NIRA) AS A METHOD TO SIMULTANEOUSLY EVALUATE SPECTRAL FEATURELESS CONSTITUENTS IN SOILS , 1995 .
[54] Daniel C. Coster,et al. High dimensional reflectance analysis of soil organic matter , 1992 .
[55] John S. Shenk,et al. Populations Structuring of Near Infrared Spectra and Modified Partial Least Squares Regression , 1991 .
[56] David A. Landgrebe,et al. Spectral band selection for classification of soil organic matter content , 1989 .
[57] R. Barnes,et al. Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra , 1989 .
[58] R. Henry,et al. Simultaneous Determination of Moisture, Organic Carbon, and Total Nitrogen by Near Infrared Reflectance Spectrophotometry , 1986 .
[59] E. B. Andersen,et al. Information Science and Statistics , 1986 .
[60] P. Williams,et al. Optimization of mathematical treatments of raw near-infrared signal in the measurement of protein in hard red spring wheat. I. Influence of particle size. , 1984 .
[61] E. R. Stoner,et al. Characteristic variations in reflectance of surface soils , 1981 .
[62] R. Colwell. Remote sensing of the environment , 1980, Nature.
[63] A. Savitzky,et al. Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .