Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy

Cited by (373)

Items 101–200 of 373

1. The Effects of Moisture Conditions-From Wet to Hyper dry-On Visible Near-Infrared Spectra of Danish Reference Soils
   Maria Knadel, Fan Deng, Afsaneh Alinejadian, Lis Wollesen de Jonge, Per Møldrup, Mogens Humlekrog Greve · 2014 · Soil Science Society of America Journal
2. Predicting Soil Properties and Interpreting Vis-NIR Models from across Continental United States
   Christopher M. Clingensmith, Sabine Grunwald · 2022 · Sensors
3. Application of near infrared spectroscopy for the determination of adsorbed p-nitrophenol on HDTMA organoclay—implications for the removal of organic pollutants from water
   Qin Zhou, Yunfei Xi, Hongping He, Ray L. Frost · 2007 · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
4. Prediction of soil cation exchange capacity using visible and near infrared spectroscopy
   Yahya Ulusoy, Yücel Tekìn, Zeynal Tümsavaş, Abdul Mounem Mouazen · 2016 · Biosystems Engineering
5. Assessment of a soil fertility index using visible and near‐infrared spectroscopy in the rice paddy region of southern China
   Meihua Yang, Abdul Mounem Mouazen, Xiaomin Zhao, Guo Xi · 2019 · European Journal of Soil Science
6. The Use of Hyperspectral Visible and Near Infrared Reflectance Spectroscopy for the Characterization of Salt-Affected Soils in the Harran Plain, Turkey
   Ali Volkan Bilgili, Mehmet Alı Çullu, Harold Mathijs van Es, Aydın Aydemir, Salih Aydemir · 2011 · Arid Land Research and Management
7. Spectral reflectance variability from soil physicochemical properties in oil contaminated soils
   Somsubhra Chakraborty, David C. Weindorf, Yuanda Zhu, Bin Li, Cristine L.S. Morgan, Yufeng Ge, John M. Galbraith · 2012 · Geoderma
8. In search of an optimum sampling algorithm for prediction of soil properties from infrared spectra
   Wartini Ng, Budiman Minasny, Brendan Malone, Patrick Filippi · 2018 · PeerJ
9. Hyperspectral Analysis of Soil Nitrogen, Carbon, Carbonate, and Organic Matter Using Regression Trees
   Stephan J. Gmur, Daniel J. Vogt, Darlene Zabowski, L. Monika Moskal · 2012 · Sensors
10. Using Near-Infrared Spectroscopy in Agricultural Systems
    Francisco García‐Sánchez, Luís Gálvez-Sola, Juan José Martínez Nicolás, R. Muelas, Manuel Nieves · 2017 · InTech eBooks
11. Assessing the utility of visible-to-shortwave infrared reflectance spectroscopy for analysis of soil weathering intensity and paleoclimate reconstruction
    Lulu Zhao, Hanlie Hong, Jiacheng Liu, Qian Fang, Yuzeng Yao, Wei Tan, Ke Yin, Chaowen Wang, Mi Chen, Thomas J. Algeo · 2017 · Palaeogeography Palaeoclimatology Palaeoecology
12. Depth‐Specific Prediction of Soil Properties In Situ using vis‐NIR Spectroscopy
    Yakun Zhang, Asim Biswas, Wenjun Ji, Viacheslav I. Adamchuk · 2017 · Soil Science Society of America Journal
13. Determination of soil physicochemical attributes in farming sites through visible, near-infrared diffuse reflectance spectroscopy and PLSR modeling
    Amol Dattatraya Vibhute, Karbhari V. Kale, S. C. Mehrotra, Rajesh K. Dhumal, Ajay D. Nagne · 2018 · Ecological Processes
14. Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near- and mid-infrared spectra at the field-scale
    Timo Breure, Jonah M. Prout, Stephan M. Haefele, Alice E. Milne, Jacqueline Hannam, S. Moreno-Rojas, Ron Corstanje · 2021 · Soil and Tillage Research
15. Remote estimates of soil organic carbon using multi-temporal synthetic images and the probability hybrid model
    Xiang Wang, Liping Wang, Sijia Li, Zongming Wang, Miao Zheng, Kaishan Song · 2022 · Geoderma
16. Determination of soil content in chlordecone (organochlorine pesticide) using near infrared reflectance spectroscopy (NIRS)
    Didier Brunet, Thierry Woignier, Magalie Jannoyer, Raphaël Achard, Luc Rangon, Bernard Barthès · 2009 · Environmental Pollution
17. Prediction of Topsoil Organic Carbon Using Airborne and Satellite Hyperspectral Imagery
    Juanjo Peón, Carmen Recondo, Susana del Carmen Fernández, Javier F. Calleja, Eduardo De Miguel, Laura Carretero · 2017 · Remote Sensing
18. Near infrared reflectance spectroscopy compared with soil clay and organic matter content for estimating within-field variation in N uptake in cereals
    Johanna Wetterlind, Bo Stenberg, Anders Jönsson · 2007 · Plant and Soil
19. Mineralogical analysis of ferralitic soils in Madagascar using NIR spectroscopy
    Henintsoa Volaniaina Ramaroson, Thierry Becquer, Sandra Oliveira Sá, Hery Razafimahatratra, Jean Larvy Delarivière, Didier Blavet, Pedro Rodolfo Siqueira Vendrame, Lilia Rabeharisoa, Amos Fety Michel Rakotondrazafy · 2017 · CATENA
20. Assessment of soil texture from spectral reflectance data of bulk soil samples and their dry-sieved aggregate size fractions
    Hiteshkumar Bhogilal Vasava, Abhinav Gupta, Rupesh Arora, Bhabani Sankar Das · 2018 · Geoderma
21. A CNN model for predicting soil properties using VIS–NIR spectral data
    Mohammad Hosseinpour-Zarnaq, Mahmoud Omid, Fereydoon Sarmadian, Hassan Ghasemi Mobtaker · 2023 · Environmental Earth Sciences
22. Intact Soil Core Total, Inorganic, and Organic Carbon Measurement Using Laser-Induced Breakdown Spectroscopy
    Ross S. Bricklemyer, David J. Brown, James E. Barefield, Samuel M. Clegg · 2011 · Soil Science Society of America Journal
23. Optimizing wavelength selection by using informative vectors for parsimonious infrared spectra modelling
    Wartini Ng, Budiman Minasny, Brendan Malone, M. C. Sarathjith, Bhabani Sankar Das · 2019 · Computers and Electronics in Agriculture
24. Spatially Explicit Estimation of Clay and Organic Carbon Content in Agricultural Soils Using Multi-Annual Imaging Spectroscopy Data
    Heike Gerighausen, Gunter Menz, Hermann Kaufmann · 2012 · Applied and Environmental Soil Science
25. Testing of the Region of Murcia soils by near infrared diffuse reflectance spectroscopy and chemometrics
    Javier Moros, María José Martínez‐Sánchez, Carmen Pérez‐Sirvent, Salvador Garrigues, Miguel de la Guárdia · 2008 · Talanta
26. Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion
    Hanyi Xu, Dongyun Xu, Songchao Chen, Wanzhu Ma, Zhou Shi · 2020 · Remote Sensing
27. Soil mapping via diffuse reflectance spectroscopy based on variable indicators: An ordered predictor selection approach
    Anukool Raj, Somsubhra Chakraborty, Bogdan Duda, David C. Weindorf, Бин Ли, Sourav Roy, M. C. Sarathjith, Bhabani Sankar Das, Laura Paulette · 2017 · Geoderma
28. Improved Intact Soil-Core Carbon Determination Applying Regression Shrinkage and Variable Selection Techniques to Complete Spectrum Laser-Induced Breakdown Spectroscopy (LIBS)
    Ross S. Bricklemyer, David J. Brown, Philip J. Turk, Samuel M. Clegg · 2013 · Applied Spectroscopy
29. Simultaneous prediction of several soil properties related to engineering uses based on laboratory Vis-NIR reflectance spectroscopy
    Masoud Davari, Salah Aldin Karimi, Hossein Ali Bahrami, Sayed Mohammad Taher Hossaini, Soheyla Fahmideh · 2020 · CATENA
30. Monitoring properties of the salt-affected soils by multivariate analysis of the visible and near-infrared hyperspectral data
    Gopal Ramdas Mahajan, Bappa Das, Bhaskar Bharat Gaikwad, Dayesh Murgaonkar, Ashwini Desai, Shaiesh Morajkar, Kiran Puna Patel, Rahul Mukund Kulkarni · 2020 · CATENA
31. Desert soil clay content estimation using reflectance spectroscopy preprocessed by fractional derivative
    Jingzhe Wang, Tashpolat Tiyip, Jianli Ding, Dong Zhang, Wei Liu, Fei Wang, Nigara Tashpolat · 2017 · PLoS ONE
32. Improvements of the Vis-NIRS Model in the Prediction of Soil Organic Matter Content Using Spectral Pretreatments, Sample Selection, and Wavelength Optimization
    Z. D. Lin, Y. B. Wang, R. J. Wang, Lei Wang, C. P. Lu, Zhiyong Zhang, Liangtu Song, Yuchen Liu · 2017 · Journal of Applied Spectroscopy
33. Comparing vis–NIRS, LIBS, and Combined vis–NIRS‐LIBS for Intact Soil Core Soil Carbon Measurement
    Ross S. Bricklemyer, David J. Brown, Philip J. Turk, Samuel M. Clegg · 2018 · Soil Science Society of America Journal
34. Importance of the spatial extent for using soil properties estimated by laboratory VNIR/SWIR spectroscopy: Examples of the clay and calcium carbonate content
    Cécile Gomez A, Guillaume Coulouma · 2018 · Geoderma
35. Removing Moisture Effect on Soil Reflectance Properties: A Case Study of Clay Content Prediction
    Yaron Ogen, Shira Faigenbaum-Golovin, Amihai Granot, Yoel Shkolnisky, Naftaly Goldshleger, Eyal Ben‐Dor · 2019 · Pedosphere
36. Estimating Soil Properties and Nutrients by Visible and Infrared Diffuse Reflectance Spectroscopy to Characterize Vineyards
    José Ramón Rodríguez Pérez, Víctor Marcelo, Dimas Pereira-Obaya, Marta García-Fernández, Enoc Sanz‐Ablanedo · 2021 · Agronomy
37. Infrared spectroscopy as a tool for the assessment of soil biological quality in agricultural soils under contrasting management practices
    Francisco Comino, Víctor Aranda, Roberto García‐Ruiz, María José Ayora‐Cañada, Ana Domínguez‐Vidal · 2018 · Ecological Indicators
38. 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
    James Kobina Mensah Biney, Luboš Borůvka, Prince Chapman Agyeman, Karel Němeček, Aleš Klement · 2020 · Remote Sensing
39. Rapid estimation of soil variability from the convex hull biplot area of topsoil ultra-violet, visible and near-infrared diffuse reflectance spectra
    Kamrunnahar Islam, Alex B. McBratney, Balwant Singh · 2005 · Geoderma
40. Using Visible-Near Infrared Spectroscopy to Predict Soil Properties of Mugan Plain, Azerbaijan
    Fikrat FEYZİYEV, M. P. Babayev, Simone Priori, Giovanni L’Abate · 2016 · Open Journal of Soil Science
41. Estimation of Soil Properties by Orbital and Laboratory Reflectance Means and its Relation with Soil Classification
    José Alexandre Melo Demattê, Peterson Ricardo Fiorio, Eyal Ben‐Dor · 2009 · The Open Remote Sensing Journal
42. Improving In-Situ Estimation of Soil Profile Properties Using a Multi-Sensor Probe
    Xiaoshuai Pei, Kenneth A. Sudduth, Kristen Sloan Veum, Minzan Li · 2019 · Sensors
43. Predicting the Campbell Soil Water Retention Function: Comparing Visible–Near‐Infrared Spectroscopy with Classical Pedotransfer Function
    Zampela Pittaki−Chrysodonta, Per Møldrup, Maria Knadel, Bo Vangsø Iversen, Cecilie Hermansen, Mogens Humlekrog Greve, Lis Wollesen de Jonge · 2018 · Vadose Zone Journal
44. Robust Vis-NIRS models for rapid assessment of soil organic carbon and nitrogen in Feralsols Haplic soils from different tillage management practices
    Nkanyiso Justice Sithole, Khayelihle Ncama, Lembe Samukelo Magwaza · 2018 · Computers and Electronics in Agriculture
45. Potential of Near-Infrared Spectroscopy for Measurement of Heavy Metals in Soil as Affected by Calibration Set Size
    M. Todorova, Abdul Mounem Mouazen, Holger Lange, Stefka Atanassova · 2014 · Water Air & Soil Pollution
46. An attempt to push back frontiers – digital near-ultraviolet aerial archaeology
    Geert Verhoeven, Klaus D. Schmitt · 2009 · Journal of Archaeological Science
47. The relationship between diffuse spectral reflectance of the soil and its cation exchange capacity is scale-dependent
    A. Savvides, Ron Corstanje, S.J. Baxter, Barry G. Rawlins, R. M. Lark · 2009 · Geoderma
48. Spectral prediction of soil salinity and alkalinity indicators using visible, near-, and mid-infrared spectroscopy
    Leila Lotfollahi, Mohammad Amir Delavar, Asim Biswas, Shahrokh Fatehi, Thomas Scholten · 2023 · Journal of Environmental Management
49. Application of mid-infrared spectroscopy for rapid characterization of key soil properties for engineering land use
    Bernard K. Waruru, Keith D. Shepherd, George M. Ndegwa, Andrew Sila, Peter T. Kamoni · 2015 · SOILS AND FOUNDATIONS
50. Hyperspectral Estimation Model of Forest Soil Organic Matter in Northwest Yunnan Province, China
    Yun Chen, Jinliang Wang, Guangjie Liu, Yanlin Yang, Zhiyuan Liu, Huan Deng · 2019 · Forests
51. Combining X‐ray Computed Tomography and Visible Near‐Infrared Spectroscopy for Prediction of Soil Structural Properties
    Sheela Katuwal, Cecilie Hermansen, Maria Knadel, Per Møldrup, Mogens Humlekrog Greve, Lis Wollesen de Jonge · 2017 · Vadose Zone Journal
52. External parameter orthogonalisation of Eastern European VisNIR-DRS soil spectra
    Somsubhra Chakraborty, Бин Ли, David C. Weindorf, Cristine L.S. Morgan · 2018 · Geoderma
53. A Method of Soil Moisture Content Estimation at Various Soil Organic Matter Conditions Based on Soil Reflectance
    Tianchen Li, Tianhao Mu, Guiwei Liu, Xiguang Yang, Gechun Zhu, Chuqing Shang · 2022 · Remote Sensing
54. Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques
    Yong He, Haiyan Song, Annia García Pereira, Antihus Hernández Gómez · 2005 · Journal of Zhejiang University SCIENCE B
55. Measuring soil organic carbon: which technique and where to from here?
    Timothy J. Johns, Michael J. Angove, Sabine Wilkens · 2015 · Soil Research
56. Effect of wetting on the determination of soil organic matter content using visible and near-infrared spectrometer
    Yiping Wang, Che-Kuan Lee, Yi-Hao Dai, Yuan Shen · 2020 · Geoderma
57. Development of hyperspectral model for rapid monitoring of soil organic carbon under precision farming in the Indo-Gangetic Plains of Punjab, India
    Rajeev Kumar Srivastava, Dipak Sarkar, Siddhartha S. Mukhopadhayay, Anil K. Sood, Manjeet Singh, R.A. Nasre, Sanjay A. Dhale · 2015 · Journal of the Indian Society of Remote Sensing
58. Using Vis-NIR Spectroscopy for Monitoring Temporal Changes in Soil Organic Carbon
    Fan Deng, Budiman Minasny, Maria Knadel, Alex B. McBratney, Goswin Johann Heckrath, Mogens Humlekrog Greve · 2013 · Soil Science
59. Error propagation in spectrometric functions of soil organic carbon
    Monja Ellinger, Ines Merbach, Ulrike Werban, Mareike Ließ · 2019 · SOIL
60. Use of diffuse reflectance spectroscopy and Nix pro color sensor in combination for rapid prediction of soil organic carbon
    Swagata Mukhopadhyay, Somsubhra Chakraborty · 2020 · Computers and Electronics in Agriculture
61. Comparing laser-induced breakdown spectroscopy and visible near-infrared spectroscopy for predicting soil properties: A pan-European study
    Alex Wangeci, Daniel Adén, Thomas Nikolajsen, Mogens Humlekrog Greve, Maria Knadel · 2024 · Geoderma
62. Predicting Key Agronomic Soil Properties with UV-Vis Fluorescence Measurements Combined with Vis-NIR-SWIR Reflectance Spectroscopy: A Farm-Scale Study in a Mediterranean Viticultural Agroecosystem
    Emmanuelle Vaudour, Zoran G. Cerović, Dav M. Ebengo, Gwendal Latouche · 2018 · Sensors
63. Soil particle size prediction using Vis-NIR and pXRF spectra in a semiarid agricultural ecosystem in Central Anatolia of Türkiye
    Gafur Gözükara, Erhan Akça, Orhan Dengız, Selım Kapur, Alper Adak · 2022 · CATENA
64. Analysis of soil chronosequence studies using reflectance spectroscopy
    Guanghui Zheng, Caixia Jiao, Shenglü Zhou, Shang Gang · 2016 · International Journal of Remote Sensing
65. Prediction of soil salinity in the Upputeru river estuary catchment, India, using machine learning techniques
    Sireesha Mantena, Vazeer Mahammood, Kunjam Nageswara Rao · 2023 · Environmental Monitoring and Assessment
66. 3D spectral analysis in the VNIR–SWIR spectral region as a tool for soil classification
    Yaron Ogen, Naftaly Goldshleger, Eyal Ben‐Dor · 2017 · Geoderma
67. midDRIFTS-based partial least square regression analysis allows predicting microbial biomass, enzyme activities and 16S rRNA gene abundance in soils of temperate grasslands
    Frank Rasche, Sven Marhan, Doreen Berner, Daniel Keil, Ellen Kandeler, Georg Cadisch · 2012 · Soil Biology and Biochemistry
68. Soil discrimination using diffuse reflectance Vis–NIR spectroscopy in a local toposequence
    José Francirlei de Oliveira, Michel Brossard, Pedro Rodolfo Siqueira Vendrame, Stanislas Mayi, Edemar Joaquim Corazza, Robélio Leandro Marchão, Maria de Fátima Guimarães · 2013 · Comptes Rendus Géoscience
69. Modelos espectrais terrestres e orbitais na determinação de teores de atributos dos solos: potencial e custos
    José Geraldo de Abreu Sousa, José Alexandre Melo Demattê, Suzana Romeiro Araújo · 2011 · Bragantia
70. Infrared spectroscopy prediction of organic carbon and total nitrogen in soil and particulate organic matter from diverse Canadian agricultural regions
    Lei Zhang, X.M. Yang, Craig F. Drury, Martin H. Chantigny, Edward G. Gregorich, J.J. Miller, Shabtai Bittman, W. D. Reynolds, Jingyi Yang · 2017 · Canadian Journal of Soil Science
71. Enhancing soil texture classification with multivariate scattering correction and residual neural networks using visible near-infrared spectra
    Zeyuan Zhang, Zheyuan Chang, Jingyun Huang, Geng Leng, Wenbo Xu, Yuewu Wang, Zhenwei Xie, Jiawei Yang · 2024 · Journal of Environmental Management
72. Evaluation of calibration subsetting and new chemometric methods on the spectral prediction of key soil properties in a data‐limited environment
    Christopher M. Clingensmith, Sabine Grunwald, Suhas Pralhad Wani · 2018 · European Journal of Soil Science
73. Hyperspectral remote sensing as an alternative to estimate soil attributes
    José Alexandre Melo Demattê, Marcelo Rodrigo Alves, Bruna Cristina Gallo, Caio Troula Fongaro, Arnaldo Barros e Souza, Danilo Jefferson Romero, Marcus Vinicius Sato · 2015 · Ciência Agronômica/Revista ciência agronômica
74. Near infrared diffuse reflectance spectroscopy for rapid and comprehensive soil condition assessment in smallholder cacao farming systems of Papua New Guinea
    Kanika Singh, Israr Majeed, Niranjan Panigrahi, Hiteshkumar Bhogilal Vasava, Chris Fidelis, Senani B. Karunaratne, Peter Bapiwai, David Yinil, Todd Sanderson, Didier Snoeck et al. · 2019 · CATENA
75. Comparing CalReg performance with other multivariate methods for estimating selected soil properties from Moroccan agricultural regions using NIR spectroscopy
    Reda Rabie, Taoufiq Saffaj, Hatim Derrouz, Salah Eddine Itqiq, Ilham Bouzida, Ouadi Saidi, Brahim Lakssir, El Mestafa El Hadrami · 2021 · Chemometrics and Intelligent Laboratory Systems
76. Diffuse reflectance spectroscopy for monitoring lead in landfill agricultural soils of India
    Somsubhra Chakraborty, David C. Weindorf, Sathi Paul, Bhaswati Ghosh, Бин Ли, Md. Nasim Ali, Rakesh Kumar Ghosh, D.P. Ray, K. Majumdar · 2015 · Geoderma Regional
77. Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling
    Elizabeth Jeanne Parent, Sérge-Étienne Parent, Léon Étienne Parent · 2021 · PLoS ONE
78. Prediction of soil carbon and nitrogen contents using visible and near infrared diffuse reflectance spectroscopy in varying salt-affected soils in Sine Saloum (Senegal)
    Aurélie Cambou, Bernard Barthès, Patricia Moulin, Laure Chauvin, Elhadji Faye, Dominique Massé, Tiphaine Chevallier, Lydie Chapuis‐Lardy · 2022 · CATENA
79. Prediction of soil organic carbon using VIS-NIR spectroscopy: Application to Red Mediterranean soils from Croatia
    Boško Miloš, Aleksandra Bensa · 2017 · EURASIAN JOURNAL OF SOIL SCIENCE (EJSS)
80. Soil Organic Carbon Prediction by Vis-NIR Spectroscopy: Case Study the Kur-Aras Plain, Azerbaijan
    Amin I. Ismayilov, Fikrat FEYZİYEV, Elton Mammadov, M. P. Babayev · 2020 · Communications in Soil Science and Plant Analysis
81. In-line estimation of falling number using near-infrared diffuse reflectance spectroscopy on a combine harvester
    Hilke Risius, Jürgen Hahn, Markus Huth, Rainer Tölle, H. Korte · 2014 · Precision Agriculture
82. Models for Estimating the Physical Properties of Paddy Soil Using Visible and Near Infrared Reflectance Spectroscopy
    Asa Gholizadeh, Md. Sadiqul Amin, Luboš Borůvka, Mohammadmehdi Saberioon · 2014 · Journal of Applied Spectroscopy
83. Organic matter and sand estimates by spectroradiometry: Strategies for the development of models with applicability at a local scale
    Everson Cézar, Marcos Rafael Nanni, Cesar Guerrero, Carlos Antônio da Silva, Luiz Guilherme Teixeira Cruciol, Marcelo Luiz Chicati, Guilerme Fernando Capristo Silva · 2019 · Geoderma
84. Prediction of soil organic carbon and total nitrogen affected by mine using Vis–NIR spectroscopy coupled with machine learning algorithms in calcareous soils
    Tianqi Zhang, Ye Li, Mingyou Wang · 2024 · Scientific Reports
85. Estimation of wet aggregation indices using soil properties and diffuse reflectance near infrared spectroscopy: An application of classification and regression tree analysis
    Bernard K. Waruru, Keith D. Shepherd, George M. Ndegwa, Andrew Sila · 2016 · Biosystems Engineering
86. Predicting field capacity, wilting point, and the other physical properties of soils using hyperspectral reflectance spectroscopy: two different statistical approaches
    Hakan Arslan, Mehmet Taşan, Demet Yildirim, Eyüp Seli̇m Köksal, Bilal Cemek · 2014 · Environmental Monitoring and Assessment
87. Estimation of soil nitrogen in agricultural regions by VNIR reflectance spectroscopy
    Amol Dattatraya Vibhute, Karbhari V. Kale, Sandeep V. Gaikwad, Rajesh K. Dhumal · 2020 · SN Applied Sciences
88. Aggregate size distribution of arid and semiarid laboratory soils (<2 mm) as predicted by VIS-NIR-SWIR spectroscopy
    Eyal Ben Dor, Nicolas Francos, Yaron Ogen, Amos Banin · 2022 · Geoderma
89. Hyperspectral Visible and Near-Infrared Determination of Copper Concentration in Agricultural Polluted Soils
    Francesca Antonucci, Paolo Menesatti, Nicholas M. Holden, Emiliano Canali, S. Giorgi, Anita Maienza, Silvia Rita Stazi · 2012 · Communications in Soil Science and Plant Analysis
90. Estimation of soil organic carbon in LUCAS soil database using Vis-NIR spectroscopy based on hybrid kernel Gaussian process regression
    Baoyang Liu, Baofeng Guo, Renxiong Zhuo, Fan Dai · 2024 · Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
91. Near Infrared Reflectance Spectroscopy Prediction of Soil Nitrogen Supply in Humid Temperate Regions of Canada
    Mervin St. Luce, Noura Ziadi, Judith Nyiraneza, Gaëtan F. Tremblay, Bernie J. Zebarth, Joann K. Whalen, Mario Laterrière · 2012 · Soil Science Society of America Journal
92. Influence of several size properties on soil surface reflectance
    Jerzy Cierniewski, Krzysztof Kuśnierek · 2010 · Quaestiones Geographicae
93. Mehlich 3 extractable nutrients as determined by near-infrared reflectance spectroscopy
    Cargèle Nduwamungu, Noura Ziadi, Léon E. Parent, Gaëtan F. Tremblay · 2009 · Canadian Journal of Soil Science
94. Soil erodibility prediction by Vis-NIR spectra and environmental covariates coupled with GIS, regression and PLSR in a watershed scale, Iran
    Behnaz Salehi-Varnousfaderani, Afshin Honarbakhsh, Mohammad Tahmoures, Mohammad Akbari · 2021 · Geoderma Regional
95. Mapping several soil types using hyperspectral datasets and advanced machine learning methods
    Amol Dattatraya Vibhute, Karbhari V. Kale, Sandeep Gaikwad · 2023 · Results in Optics
96. Landscape-scale spatial variability of kaolinite-gibbsite ratio in tropical soils detected by diffuse reflectance spectroscopy
    Kathleen Lourenço Fernandes, José Marques Júnior, Angélica Santos Rabelo de Souza Bahia, José Alexandre Melo Demattê, Adriana Aparecida Ribon · 2020 · CATENA
97. Evaluation of Soil Fertility Using Infrared Spectroscopy – A Review
    Changwen Du, Jianmin Zhou · 2009 · Springer eBooks
98. Predictive mapping of surface soil texture in a semiarid region of India through geostatistical modeling
    Tarik Mitran, Vijay Solanky, G. Janakirama Suresh, Gayam Sujatha, K. Sreenivas, T. Ravisankar · 2018 · Modeling Earth Systems and Environment
99. Analysis of Near-Infrared Spectra of Coal Using Deep Synergy Adaptive Moving Window Partial Least Square Method Based on Genetic Algorithm
    Shenghao Wang, Yong Zhao, Rong HU, Yuyan Zhang, Xin-Hua HAN · 2019 · Chinese Journal of Analytical Chemistry
100. Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region
     Neeraj Dhanraj Bokde, Zainab Hasan Ali, Maysam Th. Al-Hadidi, Aitazaz A. Farooque, Mehdi Jamei, Ali Al Maliki, Beste Hamiye Beyaztaş, Hossam Faris, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬ · 2021 · IEEE Access