Articles citing this paper
Artificial neural network analysis of laboratory and in situ spectra for the estimation of macronutrients in soils of Lop Buri (Thailand)
K. W. Daniel, N. K. Tripathi and K. Honda
41(1) pp.47 - 59
106 articles found in Crossref database.
Visible-Near Infrared Spectra as a Proxy for Topsoil Texture and Glacial Boundaries
Knadel Maria,
Viscarra Rossel Raphael A.,
Deng Fan,
Thomsen Anton, Greve Mogens Humlekrog
Soil Science Society of America Journal. 2013 77(2). p.568
Comparison of multivariate methods for estimating selected soil properties from intact soil cores of paddy fields by Vis–NIR spectroscopy
Xu Shengxiang,
Zhao Yongcun,
Wang Meiyan, Shi Xuezheng
Geoderma. 2018 310 p.29
A rapid spectral-reflectance-based fingerprinting approach for documenting suspended sediment sources during storm runoff events
Martínez-Carreras Núria,
Krein Andreas,
Udelhoven Thomas,
Gallart Francesc,
Iffly Jean F.,
Hoffmann Lucien,
Pfister Laurent, Walling Desmond E.
Journal of Soils and Sediments. 2010 10(3). p.400
Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content
Kuang Boyan,
Tekin Yucel, Mouazen Abdul M.
Soil and Tillage Research. 2015 146 p.243
Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra
Ng Wartini,
Minasny Budiman,
Montazerolghaem Maryam,
Padarian Jose,
Ferguson Richard,
Bailey Scarlett, McBratney Alex B.
Geoderma. 2019 352 p.251
Digital Soil Mapping of Soil Properties in the “Mar de Morros” Environment Using Spectral Data
Campbell Patrícia Morais da Matta,
Fernandes Filho Elpídio Inácio,
Francelino Márcio Rocha,
Demattê José Alexandre Melo,
Pereira Marcos Gervasio,
and Clécia Cristina Barbosa Guimarães, Pinto Luiz Alberto da Silva Rodrigues
Revista Brasileira de Ciência do Solo. 2019 42(0).
Field‐Scale Mapping of Soil Carbon Stock with Limited Sampling by Coupling Gamma‐Ray and Vis‐NIR Spectroscopy
Priori Simone,
Fantappiè Maria,
Bianconi Nadia,
Ferrigno Giuseppe,
Pellegrini Sergio, Costantini Edoardo A.C.
Soil Science Society of America Journal. 2016 80(4). p.954
A spectral soil quality index (SSQI) for characterizing soil function in areas of changed land use
Paz-Kagan Tarin,
Shachak Moshe,
Zaady Eli, Karnieli Arnon
Geoderma. 2014 230-231 p.171
Developing a model for soil potassium estimation using spectrometry data
Mobasheri Mohammad Reza,
Amani Meisam,
Fathi-Almas Roghayeh,
Mahdavi Sahel, Zabihi Hamid Reza
Communications in Soil Science and Plant Analysis. 2020 51(6). p.794
Using data mining to model and interpret soil diffuse reflectance spectra
Rossel R.A. Viscarra, Behrens T.
Geoderma. 2010 158(1-2). p.46
Estimativa de atributos do solo por meio de espectrorradiometria difusa
Cezar Everson,
Nanni Marcos Rafael,
Demattê José Alexandre M.,
Chicati Marcelo Luiz, Oliveira Roney Berti de
Revista Brasileira de Ciência do Solo. 2013 37(4). p.858
The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
Soriano-Disla José M.,
Janik Les J.,
Viscarra Rossel Raphael A.,
Macdonald Lynne M., McLaughlin Michael J.
Applied Spectroscopy Reviews. 2014 49(2). p.139
Estimation of total nitrogen and organic carbon contents in mine soils with NIR reflectance spectroscopy and various chemometric methods
Pudełko Anna, Chodak Marcin
Geoderma. 2020 368 p.114306
Depth‐Specific Prediction of Soil Properties In Situ using vis‐NIR Spectroscopy
Zhang Yakun,
Biswas Asim,
Ji Wenjun, Adamchuk Viacheslav I.
Soil Science Society of America Journal. 2017 81(5). p.993
To spike or to localize? Strategies to improve the prediction of local soil properties using regional spectral library
Ng Wartini,
Minasny Budiman,
Jones Edward, McBratney Alex
Geoderma. 2022 406 p.115501
Non-linear memory-based learning for predicting soil properties using a regional vis-NIR spectral library
Wang Zheng,
Chen Songchao,
Lu Rui,
Zhang Xianglin,
Ma Yuxin, Shi Zhou
Geoderma. 2024 441 p.116752
Application of LW-NIR for rapid prediction of primary nutrients cropland by chemometrics: Comparison among preprocessing and machine learning algorithm approaches
Devianti ,
Sufardi ,
Bulan Ramayanty,
Nurlaili , Haris Oscar
Case Studies in Chemical and Environmental Engineering. 2023 8 p.100454
Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy
Mouazen A.M.,
Kuang B.,
De Baerdemaeker J., Ramon H.
Geoderma. 2010 158(1-2). p.23
Exploring relevant wavelength regions for estimating soil total carbon contents of rice fields in Madagascar from Vis-NIR spectra with sequential application of backward interval PLS
Kawamura Kensuke,
Nishigaki Tomohiro,
Tsujimoto Yasuhiro,
Andriamananjara Andry,
Rabenaribo Michel,
Asai Hidetoshi,
Rakotoson Tovohery, Razafimbelo Tantely
Plant Production Science. 2021 24(1). p.1
Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra
Vasques G.M.,
Grunwald S., Sickman J.O.
Geoderma. 2008 146(1-2). p.14
Laboratory assessment of three quantitative methods for estimating the organic matter content of soils in China based on visible/near-infrared reflectance spectra
Tian Yongchao,
Zhang Juanjuan,
Yao Xia,
Cao Weixing, Zhu Yan
Geoderma. 2013 202-203 p.161
Environmental Remote Sensing and GIS in Iraq (2020)
Research progress of on-the-go soil parameter sensors based on NIRS
International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications (2014)
Evaluation of soil fertility using infrared spectroscopy: a review
Du Changwen, Zhou Jianmin
Environmental Chemistry Letters. 2009 7(2). p.97
Estimation of soil properties from the EU spectral library using long short-term memory networks
Singh Simranjit, Kasana Singara Singh
Geoderma Regional. 2019 18 p.e00233
Evaluation of MLSR and PLSR for estimating soil element contents using visible/near-infrared spectroscopy in apple orchards on the Jiaodong peninsula
Yu Xiang,
Liu Qing,
Wang Yebao,
Liu Xiangyang, Liu Xin
CATENA. 2016 137 p.340
Innovative methods in soil phosphorus research: A review
Kruse Jens,
Abraham Marion,
Amelung Wulf,
Baum Christel,
Bol Roland,
Kühn Oliver,
Lewandowski Hans,
Niederberger Jörg,
Oelmann Yvonne,
Rüger Christopher,
Santner Jakob,
Siebers Meike,
Siebers Nina,
Spohn Marie,
Vestergren Johan,
Vogts Angela, Leinweber Peter
Journal of Plant Nutrition and Soil Science. 2015 178(1). p.43
Comparison of soil reflectance spectra and calibration models obtained using multiple spectrometers
Ge Yufeng,
Morgan Cristine L.S.,
Grunwald Sabine,
Brown David J., Sarkhot Deoyani V.
Geoderma. 2011 161(3-4). p.202
Visible near-infrared reflectance spectroscopy as a predictive indicator of soil properties
Summers D.,
Lewis M.,
Ostendorf B., Chittleborough D.
Ecological Indicators. 2011 11(1). p.123
Comparison of three multivariate methods of inferential modeling of soil organic matter using hyper spectra
2011 International Conference on Remote Sensing, Environment and Transportation Engineering (2011)
A loss function to evaluate agricultural decision-making under uncertainty: a case study of soil spectroscopy
Breure T. S.,
Haefele S. M.,
Hannam J. A.,
Corstanje R.,
Webster R.,
Moreno-Rojas S., Milne A. E.
Precision Agriculture. 2022 23(4). p.1333
Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy
Vohland Michael,
Besold Joachim,
Hill Joachim, Fründ Heinz-Christian
Geoderma. 2011 166(1). p.198
Predicting soil phosphorus and studying the effect of texture on the prediction accuracy using machine learning combined with near-infrared spectroscopy
Reda Rabie,
Saffaj Taoufiq,
Itqiq Salah Eddine,
Bouzida Ilham,
Saidi Ouadi,
Yaakoubi Kaoutar,
Lakssir Brahim,
El Mernissi Najib, El Hadrami El Mestafa
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2020 242 p.118736
Using a One-Dimensional Convolutional Neural Network on Visible and Near-Infrared Spectroscopy to Improve Soil Phosphorus Prediction in Madagascar
Kawamura Kensuke,
Nishigaki Tomohiro,
Andriamananjara Andry,
Rakotonindrina Hobimiarantsoa,
Tsujimoto Yasuhiro,
Moritsuka Naoki,
Rabenarivo Michel, Razafimbelo Tantely
Remote Sensing. 2021 13(8). p.1519
Comparing Gaofen-5, Ground, and Huanjing-1A Spectra for the Monitoring of Soil Salinity with the BP Neural Network Improved by Particle Swarm Optimization
Jiang Xiaofang, Xue Xian
Remote Sensing. 2022 14(22). p.5719
Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data
Meng Xiangtian,
Bao Yilin,
Liu Jiangui,
Liu Huanjun,
Zhang Xinle,
Zhang Yu,
Wang Peng,
Tang Haitao, Kong Fanchang
International Journal of Applied Earth Observation and Geoinformation. 2020 89 p.102111
(2014)
Development of spectral band cloning techniques for soil nutrients estimation
Kassahun Daniel,
Tripathi Nitin K., Honda Kiyoshi
International Journal of Remote Sensing. 2006 27(19). p.4213
A Sensitive Wavebands Identification System for Smart Farming
Kavitha M., Sujaritha M.
Computer Systems Science and Engineering. 2022 43(1). p.245
Modelos espectrais terrestres e orbitais na determinação de teores de atributos dos solos: potencial e custos
Sousa Junior José Geraldo,
Demattê José A. M, Araújo Suzana Romeiro
Bragantia. 2011 70(3). p.610
Deep residual network for soil nutrient assessment using optical sensors
Lincy C. T.,
Lenin Fred A., Jalbin J.
Journal of Plant Nutrition and Soil Science. 2024 187(2). p.181
Mathematical Modelling of Biosensing Platforms Applied for Environmental Monitoring
Teniou Ahlem,
Rhouati Amina, Marty Jean-Louis
Chemosensors. 2021 9(3). p.50
Digital Soil Mapping with Limited Data (2008)
Electrochemical Mechanisms in Potentiometric Phosphate Sensing Using Pure Cobalt, Molybdenum and their Alloy for Environmental Applications
Zeitoun Reem, Biswas Asim
Electroanalysis. 2021 33(2). p.421
Computer And Computing Technologies In Agriculture, Volume II (2008)
Automated spectroscopic modelling with optimised convolutional neural networks
Shen Zefang, Viscarra Rossel R. A.
Scientific Reports. 2021 11(1).
Hyperspectral Analysis of Soil Nitrogen, Carbon, Carbonate, and Organic Matter Using Regression Trees
Gmur Stephan,
Vogt Daniel,
Zabowski Darlene, Moskal L. Monika
Sensors. 2012 12(8). p.10639
Visible, Near-Infrared, and Mid-Infrared Spectroscopy Applications for Soil Assessment with Emphasis on Soil Organic Matter Content and Quality: State-of-the-Art and Key Issues
Gholizadeh Asa,
Borůvka Luboš,
Saberioon Mohammadmehdi, Vašát Radim
Applied Spectroscopy. 2013 67(12). p.1349
Mapping peat layer properties with multi-coil offset electromagnetic induction and laser scanning elevation data
Altdorff D.,
Bechtold M.,
van der Kruk J.,
Vereecken H., Huisman J.A.
Geoderma. 2016 261 p.178
Precision Crop Protection - the Challenge and Use of Heterogeneity (2010)
Evaluation of sensing technologies for on-the-go detection of macro-nutrients in cultivated soils
Sinfield Joseph V.,
Fagerman Daniel, Colic Oliver
Computers and Electronics in Agriculture. 2010 70(1). p.1
Engineering Applications of Neural Networks (2015)
Simulating models for Phaeozem hyperspectral reflectance
Liu Huanjun,
Zhang Xinle,
Yu Wantai,
Zhang Bai,
Song Kaishan, Blackwell J.
International Journal of Remote Sensing. 2011 32(13). p.3819
Chemometrics for environmental monitoring: a review
Dupont Madeleine F.,
Elbourne Aaron,
Cozzolino Daniel,
Chapman James,
Truong Vi Khanh,
Crawford Russell J., Latham Kay
Analytical Methods. 2020 12(38). p.4597
Modeling soil cation concentration and sodium adsorption ratio using observed diffuse reflectance spectra
Xiao Zhenzhen,
Li Yi,
Feng Hao, Newton Lupwayi
Canadian Journal of Soil Science. 2016 96(4). p.372
Combining Laser-Induced Breakdown Spectroscopy (LIBS) and Visible Near-Infrared Spectroscopy (Vis-NIRS) for Soil Phosphorus Determination
Sánchez-Esteva Sara,
Knadel Maria,
Kucheryavskiy Sergey,
de Jonge Lis W.,
Rubæk Gitte H.,
Hermansen Cecilie, Heckrath Goswin
Sensors. 2020 20(18). p.5419
A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra
Dotto Andre Carnieletto,
Dalmolin Ricardo Simao Diniz,
ten Caten Alexandre, Grunwald Sabine
Geoderma. 2018 314 p.262
Using PRISMA Hyperspectral Satellite Imagery and GIS Approaches for Soil Fertility Mapping (FertiMap) in Northern Morocco
Gasmi Anis,
Gomez Cécile,
Chehbouni Abdelghani,
Dhiba Driss, El Gharous Mohamed
Remote Sensing. 2022 14(16). p.4080
Processing Near-Infrared Spectroscopy Signal to Calculate Soil Macronutrient: A Comparison of Some Machine Learning Approaches
2022 IEEE Creative Communication and Innovative Technology (ICCIT) (2022)
Prediction of Soil Physical and Chemical Properties by Visible and Near-Infrared Diffuse Reflectance Spectroscopy in the Central Amazon
Pinheiro Érika,
Ceddia Marcos,
Clingensmith Christopher,
Grunwald Sabine, Vasques Gustavo
Remote Sensing. 2017 9(4). p.293
Soil Chemical Properties and Fire Severity Assessment Using VNIR Proximal Spectroscopy in Fire-Affected Abandoned Orchard of Mediterranean Croatia
Šestak Ivana,
Pereira Paulo,
Telak Leon Josip,
Perčin Aleksandra,
Hrelja Iva, Bogunović Igor
Agronomy. 2022 12(1). p.129
Increased sample point density in farm soil mapping by local calibration of visible and near infrared prediction models
Wetterlind Johanna,
Stenberg Bo, Söderström Mats
Geoderma. 2010 156(3-4). p.152
Rapid identification of soil cadmium pollution risk at regional scale based on visible and near-infrared spectroscopy
Chen Tao,
Chang Qingrui,
Clevers J.G.P.W., Kooistra L.
Environmental Pollution. 2015 206 p.217
Optoelectronic proximal sensing vehicle-mounted technologies in precision agriculture: A review
Pallottino Federico,
Antonucci Francesca,
Costa Corrado,
Bisaglia Carlo,
Figorilli Simone, Menesatti Paolo
Computers and Electronics in Agriculture. 2019 162 p.859
Predicting Soil Properties and Interpreting Vis-NIR Models from across Continental United States
Clingensmith Christopher M., Grunwald Sabine
Sensors. 2022 22(9). p.3187
Application of near-infrared reflectance for quantitative assessment of soil properties
Mohamed E.S.,
Saleh A.M.,
Belal A.B., Gad Abd_Allah
The Egyptian Journal of Remote Sensing and Space Science. 2018 21(1). p.1
Carbonates and organic matter in soils characterized by reflected energy from 350–25000 nm wavelength
Asgari Najmeh,
Ayoubi Shamsollah,
Demattê Jose Alexandre Melo, Dotto André Carnieletto
Journal of Mountain Science. 2020 17(7). p.1636
Evaluating the Capability of Satellite Hyperspectral Imager, the ZY1–02D, for Topsoil Nitrogen Content Estimation and Mapping of Farmlands in Black Soil Area, China
Xu Zhengyuan,
Chen Shengbo,
Zhu Bingxue,
Chen Liwen,
Ye Yinghui, Lu Peng
Remote Sensing. 2022 14(4). p.1008
Using a mobile real-time soil visible-near infrared sensor for high resolution soil property mapping
Kodaira Masakazu, Shibusawa Sakae
Geoderma. 2013 199 p.64
Estimating soil organic carbon from soil reflectance: a review
Ladoni Moslem,
Bahrami Hosein Ali,
Alavipanah Sayed Kazem, Norouzi Ali Akbar
Precision Agriculture. 2010 11(1). p.82
Strategies for the Development of Spectral Models for Soil Organic Matter Estimation
Cezar Everson,
Nanni Marcos Rafael,
Crusiol Luís Guilherme Teixeira,
Sun Liang,
Chicati Mônica Sacioto,
Furlanetto Renato Herrig,
Rodrigues Marlon,
Sibaldelli Rubson Natal Ribeiro,
Silva Guilherme Fernando Capristo,
Oliveira Karym Mayara de, Demattê José A. M.
Remote Sensing. 2021 13(7). p.1376
Soil Health Series (2021)
Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland Rice Fields in Madagascar
Kawamura Kensuke,
Tsujimoto Yasuhiro,
Nishigaki Tomohiro,
Andriamananjara Andry,
Rabenarivo Michel,
Asai Hidetoshi,
Rakotoson Tovohery, Razafimbelo Tantely
Remote Sensing. 2019 11(5). p.506
Exploring relationship of soil PTE geochemical and “VIS-NIR spectroscopy” patterns near Cu–Mo mine (Armenia)
Tepanosyan Garegin,
Muradyan Vahagn,
Tepanosyan Gevorg,
Avetisyan Rima,
Asmaryan Shushanik,
Sahakyan Lilit,
Denk Michael, Gläßer Cornelia
Environmental Pollution. 2023 323 p.121180
Hyperspectral Characteristic Band Selection and Estimation Content of Soil Petroleum Hydrocarbon Based on GARF-PLSR
Shi Pengfei,
Jiang Qigang, Li Zhilian
Journal of Imaging. 2023 9(4). p.87
Modeling Site Suitability for Oil Palm Plantations in Southern Thailand
Dansagoonpon Sutat, Tripathi Nitin Kumar
GIScience & Remote Sensing. 2006 43(3). p.252
Optimizing wavelength selection by using informative vectors for parsimonious infrared spectra modelling
Ng Wartini,
Minasny Budiman,
Malone Brendan P.,
Sarathjith M.C., Das Bhabani S.
Computers and Electronics in Agriculture. 2019 158 p.201
A Memory-Based Learning Approach as Compared to Other Data Mining Algorithms for the Prediction of Soil Texture Using Diffuse Reflectance Spectra
Gholizadeh Asa,
Borůvka Luboš,
Saberioon Mohammadmehdi, Vašát Radim
Remote Sensing. 2016 8(4). p.341
Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
Viscarra Rossel R.A.,
Walvoort D.J.J.,
McBratney A.B.,
Janik L.J., Skjemstad J.O.
Geoderma. 2006 131(1-2). p.59
Characterization of Soils Using Photoacoustic Mid-Infrared Spectroscopy
Changwen Du,
Linker Raphael, Shaviv Avi
Applied Spectroscopy. 2007 61(10). p.1063
Variable indicators for optimum wavelength selection in diffuse reflectance spectroscopy of soils
Sarathjith M.C.,
Das Bhabani Sankar,
Wani Suhas P., Sahrawat Kanwar L.
Geoderma. 2016 267 p.1
Vis-NIR spectra combined with machine learning for predicting soil nutrients in cropland from Aceh Province, Indonesia
Devianti ,
Sufardi ,
Bulan Ramayanty, Sitorus Agustami
Case Studies in Chemical and Environmental Engineering. 2022 6 p.100268
Deep learning approaches in remote sensing of soil organic carbon: a review of utility, challenges, and prospects
Odebiri Omosalewa,
Mutanga Onisimo,
Odindi John,
Naicker Rowan,
Masemola Cecilia, Sibanda Mbulisi
Environmental Monitoring and Assessment. 2021 193(12).
Using Short Wave Visible–Near Infrared Reflectance Spectroscopy to Predict Soil Properties and Content
Xuemei Liu, Jianshe Liu
Spectroscopy Letters. 2014 47(10). p.729
Spectral soil analysis and inference systems: A powerful combination for solving the soil data crisis
McBratney Alex B.,
Minasny Budiman, Viscarra Rossel Raphael
Geoderma. 2006 136(1-2). p.272
Vibrational spectroscopy in soil and sediment analysis
Armenta Sergio, de la Guardia Miguel
Trends in Environmental Analytical Chemistry. 2014 2 p.43
Evaluating the detection limit of organic matter using point and imaging spectroscopy
Ogen Yaron,
Neumann Carsten,
Chabrillat Sabine,
Goldshleger Naftaly, Ben Dor Eyal
Geoderma. 2018 321 p.100
Estimating soil chemical properties by diffuse reflectance spectroscopy: Promise versus reality
McBride Murray B.
European Journal of Soil Science. 2022 73(1).
Linear Multi-Task Learning for Predicting Soil Properties Using Field Spectroscopy
Qi Haijun,
Paz-Kagan Tarin,
Karnieli Arnon, Li Shaowen
Remote Sensing. 2017 9(11). p.1099
Multi-task convolution neural network regression prediction model based on vis-NIR spectroscopy
Jia Dongning,
Du Zehua,
Huang Xianqing,
Li Kexin,
Ren Guoxing, Li Ruixue
IOP Conference Series: Materials Science and Engineering. 2020 768(7). p.072049
(2010)
Remote Sensing of Soils (2017)
Basic and deep learning models in remote sensing of soil organic carbon estimation: A brief review
Odebiri Omosalewa,
Odindi John, Mutanga Onisimo
International Journal of Applied Earth Observation and Geoinformation. 2021 102 p.102389
Soil organic carbon predictions in Subarctic Greenland by visible–near infrared spectroscopy
Ogrič M.,
Knadel M.,
Kristiansen S. M.,
Peng Y.,
De Jonge L. W.,
Adhikari K., Greve M. H.
Arctic, Antarctic, and Alpine Research. 2019 51(1). p.490
Climate Change, Intercropping, Pest Control and Beneficial Microorganisms (2009)
Partial least squares regression (PLSR) associated with spectral response to predict soil attributes in transitional lithologies
Nanni Marcos Rafael,
Cezar Everson,
Silva Junior Carlos Antonio da,
Silva Guilherme Fernando Capristo, da Silva Gualberto Anderson Antonio
Archives of Agronomy and Soil Science. 2018 64(5). p.682
Artificial neural networks in the prediction of soil chemical attributes using apparent electrical conductivity
Silva Samuel A.,
Lima Julião S. S.,
Queiroz Daniel M.,
Paiva Arlicélio Q.,
Medauar Caique C., Santos Railton O.
Spanish Journal of Agricultural Research. 2021 19(3). p.e0208
Informações espectroeletromagnéticas e topográficas na determinação de teores de componentes do solo
Genú Aline Marques, Demattê José Alexandre M.
Bragantia. 2010 69(1). p.157
Proximal Soil Sensing (2010)
Near‐infrared spectroscopy for within‐field soil characterization: small local calibrations compared with national libraries spiked with local samples
Wetterlind J., Stenberg B.
European Journal of Soil Science. 2010 61(6). p.823
Accuracy of Estimating Soil Properties with Mid‐Infrared Spectroscopy: Implications of Different Chemometric Approaches and Software Packages Related to Calibration Sample Size
Ludwig Bernard,
Murugan Raja,
Parama V. R. Ramakrishna, Vohland Michael
Soil Science Society of America Journal. 2019 83(5). p.1542
On-Site VIS-NIR Spectral Reflectance and Colour Measurements—A Fast and Inexpensive Alternative for Delineating Sediment Layers Quantitatively? A Case Study from a Monumental Bronze Age Burial Mound (Seddin, Germany)
Haburaj Vincent,
Nykamp Moritz,
May Jens,
Hoelzmann Philipp, Schütt Brigitta
Heritage. 2020 3(2). p.528
Soil chemical alteration due to slaughterhouse waste application as identified by spectral reflectance in São Paulo State, Brazil: an environmental monitoring useful tool
Demattê José A. M.,
Oliveira Julianne de Castro,
Tavares Tiago Rodrigues,
Lopez Leonardo Ramirez,
Terra Fabrício da Silva,
Araújo Suzana Romeiro,
Fongaro Caio Troula,
Maia Stoécio Malta Ferreira,
Mello Francisco Fujita de Castro,
Rizzo Rodnei,
Vicente Simone,
de Melo Bortolleto Marco Antonio, Cerqueira Pedro Henrique Ramos
Environmental Earth Sciences. 2016 75(18).
Application of Infrared Photoacoustic Spectroscopy in Soil Analysis
Du Changwen, Zhou Jianmin
Applied Spectroscopy Reviews. 2011 46(5). p.405
Improving 3D Digital Soil Mapping Based on Spatialized Lab Soil Spectral Information
Sun Zheng,
Liu Feng,
Wang Decai,
Wu Huayong, Zhang Ganlin
Remote Sensing. 2023 15(21). p.5228
Predicting the abundance of copper in soil using reflectance spectroscopy and GF5 hyperspectral imagery
Yin Fang,
Wu Mengmeng,
Liu Lei,
Zhu Yunqiang,
Feng Jilu,
Yin Dewei,
Yin Cuijing, Yin Chuntao
International Journal of Applied Earth Observation and Geoinformation. 2021 102 p.102420
