Spatial structure, parameter nonlinearity, and intelligent algorithms in constructing pedotransfer functions from large-scale soil legacy data
暂无分享,去创建一个
Niranjan Panigrahi | Priyabrata Santra | Poulamee Chakraborty | Bhabani S Das | Hitesh B Vasava | B. Das | Niranjan Panigrahi | P. Santra | Poulamee Chakraborty | Hitesh B. Vasava
[1] Inakwu O. A. Odeh,et al. Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data‐sparse situation , 2016 .
[2] D. R. Nielsen,et al. Spatial and Temporal Statistics - Sampling Field Soils and Their Vegetation , 2003 .
[3] William H. Hendershot,et al. Soil Reaction and Exchangeable Acidity , 2007 .
[4] Budiman Minasny,et al. From pedotransfer functions to soil inference systems , 2002 .
[5] C. Ballabio,et al. LUCAS Soil, the largest expandable soil dataset for Europe: a review , 2018 .
[6] Nikolaos P. Nikolaidis,et al. Soil Functions: Connecting Earth's Critical Zone , 2019, Annual Review of Earth and Planetary Sciences.
[7] Bhabani S. Das,et al. Assessment of soil texture from spectral reflectance data of bulk soil samples and their dry-sieved aggregate size fractions , 2019, Geoderma.
[8] Maria L. Rizzo,et al. Measuring and testing dependence by correlation of distances , 2007, 0803.4101.
[9] Rattan Lal,et al. Biochar and Soil Carbon Sequestration , 2015 .
[10] Gerard B. M. Heuvelink,et al. Pedotransfer functions to estimate soil water content at field capacity and permanent wilting point in hot Arid Western India , 2018, Journal of Earth System Science.
[11] Attila Nemes,et al. Why do they keep rejecting my manuscript — do’s and don’ts and new horizons in pedotransfer studies , 2015 .
[12] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[13] E. Van Ranst,et al. Nonparametric Techniques for Predicting Soil Bulk Density of Tropical Rainforest Topsoils in Rwanda , 2012 .
[14] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[15] M. G. Hodnett,et al. Marked differences between van Genuchten soil water-retention parameters for temperate and tropical soils: a new water-retention pedo-transfer functions developed for tropical soils , 2002 .
[16] Satish K. Singh,et al. Chemical Composition and Charge Behaviour of Smectites in Vertisols of Rajasthan , 2002 .
[17] M. S. M. Amin,et al. Pedo-transfer function for saturated hydraulic conductivity of lowland paddy soils , 2009, Paddy and Water Environment.
[18] Priyabrata Santra,et al. Pedotransfer functions for soil hydraulic properties developed from a hilly watershed of Eastern India , 2008 .
[19] Fosco M. Vesely,et al. A simple pipeline for the assessment of legacy soil datasets: An example and test with soil organic carbon from a highly variable area , 2019, CATENA.
[20] Niels H. Batjes,et al. Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019) , 2020 .
[21] Budiman Minasny,et al. Comparison of different approaches to the development of pedotransfer functions for water-retention curves , 1999 .
[22] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[23] Adrienne Grêt-Regamey,et al. Soil function assessment: review of methods for quantifying the contributions of soils to ecosystem services. , 2017 .
[24] Johan Bouma,et al. The significance of soils and soil science towards realization of the United Nations sustainable development goals , 2016 .
[25] V Kishore Ayyadevara,et al. Gradient Boosting Machine , 2018 .
[26] Marcel G. Schaap,et al. Description of the unsaturated soil hydraulic database UNSODA version 2.0 , 2001 .
[27] K. M. Nair,et al. Soils of India: historical perspective, classification and recent advances , 2013 .
[28] R. M. Lark,et al. The relationship between diffuse spectral reflectance of the soil and its cation exchange capacity is scale-dependent , 2010 .
[29] Budiman Minasny,et al. Transfer learning to localise a continental soil vis-NIR calibration model , 2019, Geoderma.
[30] Päivi Eriksson,et al. A vertic paleosol at the Archean-Proterozoic contact from the Singhbhum-Orissa craton, eastern India , 2010 .
[31] R. Schapire. The Strength of Weak Learnability , 1990, Machine Learning.
[32] Jeffrey R. Chiarenzelli,et al. Sedimentation history of the Paleoproterozoic Singhbhum Group of rocks, eastern India and its implications , 2016 .
[33] Wim Cornelis,et al. A pseudo-continuous neural network approach for developing water retention pedotransfer functions with limited data , 2012 .
[34] Budiman Minasny,et al. Monitoring and Modeling Soil Change: The Influence of Human Activity and Climatic Shifts on Aspects of Soil Spatiotemporally , 2016 .
[35] Vishal Kumar,et al. Genetic algorithm based support vector machine for on-line voltage stability monitoring , 2015 .
[36] A. Walkley,et al. AN EXAMINATION OF THE DEGTJAREFF METHOD FOR DETERMINING SOIL ORGANIC MATTER, AND A PROPOSED MODIFICATION OF THE CHROMIC ACID TITRATION METHOD , 1934 .
[37] R. Tibshirani,et al. Generalized additive models for medical research , 1986, Statistical methods in medical research.
[38] B. Mohanty,et al. Estimation of weathering indices using spectral reflectance over visible to mid-infrared region , 2016 .
[39] J. Wösten,et al. The HYPRES database of hydraulic properties of European soils , 2000 .
[40] Naser Davatgar,et al. Prediction of CEC Using Fractal Parameters by Artificial Neural Networks , 2014 .
[41] J.G.B. Leenaars,et al. WoSIS: providing standardised soil profile data for the world , 2016 .
[42] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[43] Ashok K. Singhvi,et al. Evolution of the lower Gangetic Plain landforms and soils in West Bengal , 1998 .
[44] J. Bouma,et al. Pedotransfer Functions in Earth System Science: Challenges and Perspectives , 2017 .
[45] Clemens Reimann,et al. GEMAS: establishing geochemical background and threshold for 53 chemical elements in European agricultural soil , 2017 .