{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T15:34:30Z","timestamp":1778859270861,"version":"3.51.4"},"reference-count":52,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T00:00:00Z","timestamp":1664236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior\u2014Brasil"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Despite occupying a large area of the globe and being the next agricultural frontier, sandy soils are seldom explored in scientific studies. Considering the high capacity of remote sensing in soil characterization, this work aimed to: (i) characterize sandy soils\u2019 profiles from proximal sensing; (ii) assess the ability of visible, near, and short-wave infrared (Vis-NIR-SWIR) as well as mid-infrared (MIR) spectroscopy to distinguish soil classes of highly sandy content; (iii) quantify physical and chemical attributes of sandy soil profiles from Vis-NIR-SWIR and MIR spectroscopy as well as X-ray fluorescence (pXRF). Samples were described and collected from 29 sandy soil profiles. The 127 samples went under Vis-NIR-SWIR and MIR spectroscopy, X-ray fluorescence, and chemical and physical analyses. The spectra were analyzed based on \u201cMorphological Interpretation of Reflectance Spectrum\u201d (MIRS), Principal Components Analysis (PCA), and cluster methodology to characterize soils. The integration of different information obtained by remote sensors, such as Vis-NIR-SWIR, MIR, and Portable X-ray Fluorescence (pXRF), allows for pedologically complex characterizations and conclusions in a short period and with low investment in analysis and reagents. The application of MIRS concepts in the VNS spectra of sandy soils showed high potential for distinguishing pedological classes of sandy soils. The MIR spectra did not show distinct patterns in the general shapes of the curves and reflectance intensities between sandy soil classes. However, even so, this region showed potential for identifying mineralogical constitution, texture, and OM contents, assuming high importance for the complementation of soil pedometric characterizations using VNS spectroscopy. The VNS and MIR data, combined or isolated, showed excellent predictive performance for the estimation of sandy soil attributes (R2 &gt; 0.8). Sandy soil color indices, which are very important for soil classification, can be predicted with excellent accuracy (R2 from 0.74 to 0.99) using VNS spectroscopy or the combination of VNS + MIR.<\/jats:p>","DOI":"10.3390\/rs14194823","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T03:30:37Z","timestamp":1664335837000},"page":"4823","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Characterizing and Modeling Tropical Sandy Soils through VisNIR-SWIR, MIR Spectroscopy, and X-ray Fluorescence"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0681-7647","authenticated-orcid":false,"given":"Luis Augusto Di Loreto","family":"Di Raimo","sequence":"first","affiliation":[{"name":"College of Agronomy and Zootechnology, Federal University of Mato Grosso, Cuiab\u00e1 78060-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5271-9709","authenticated-orcid":false,"given":"Eduardo Guimar\u00e3es","family":"Couto","sequence":"additional","affiliation":[{"name":"College of Agronomy and Zootechnology, Federal University of Mato Grosso, Cuiab\u00e1 78060-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danilo Cesar","family":"de Mello","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Federal University of Vi\u00e7osa, Vi\u00e7osa 36570-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5328-0323","authenticated-orcid":false,"given":"Jos\u00e9 Alexandre Mello","family":"Dematt\u00ea","sequence":"additional","affiliation":[{"name":"Department of Soil, Luiz de Queiroz College of Agriculture, University of S\u00e3o Paulo, Piracicaba 13418-260, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4570-1770","authenticated-orcid":false,"given":"Ricardo Santos Silva","family":"Amorim","sequence":"additional","affiliation":[{"name":"Department of Agricultural Engineering, Center for Agricultural Sciences, Federal University of Vi\u00e7osa, Vi\u00e7osa 36570-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4307-415X","authenticated-orcid":false,"given":"Gilmar Nunes","family":"Torres","sequence":"additional","affiliation":[{"name":"Santos Lab Participations, Commerce and Aerospace Industry S.A., Rio de Janeiro 22790-704, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Edwaldo Dias","family":"Bocuti","sequence":"additional","affiliation":[{"name":"College of Agronomy and Zootechnology, Federal University of Mato Grosso, Cuiab\u00e1 78060-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo Vieira","family":"Veloso","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Federal University of Vi\u00e7osa, Vi\u00e7osa 36570-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1628-4154","authenticated-orcid":false,"given":"Raul Roberto","family":"Poppiel","sequence":"additional","affiliation":[{"name":"Institute of Geoscience, University of Brasilia, P.O. Box 04465, Brasilia 70919-970, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M\u00e1rcio Rocha","family":"Francelino","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Federal University of Vi\u00e7osa, Vi\u00e7osa 36570-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9484-1411","authenticated-orcid":false,"given":"Elp\u00eddio In\u00e1cio","family":"Fernandes-Filho","sequence":"additional","affiliation":[{"name":"Department of Soil Science, Federal University of Vi\u00e7osa, Vi\u00e7osa 36570-900, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Jenny, H. (1941). Factors of Soil Formation, McGraw-Hill.","DOI":"10.1097\/00010694-194111000-00009"},{"key":"ref_2","unstructured":"Dos Santos, H.G., Jacomine, P.K.T., Dos Anjos, L.H.C., De Oliveira, V.A., Lumbreras, J.F., Coelho, M.R., de Almeida, J.A., de Araujo Filho, J.C., de Oliveira, J.B., and Cunha, T.J.F. (2018). Sistema Brasileiro de Classifica\u00e7\u00e3o de Solos, Embrapa."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1590\/s0100-204x2016000900001","article-title":"Characterization, Agricultural Potential, and Perspectives for the Management of Light Soils in Brazil","volume":"51","author":"Donagemma","year":"2016","journal-title":"Pesq. Agropecu\u00e1ria Bras."},{"key":"ref_4","unstructured":"FAO (2001). Lecture Notes on the Major Soils of the World, FAO. No. 94."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1590\/S0100-06832010000300027","article-title":"Soil Spectral Library and Its Use in Soil Classification","volume":"34","author":"Bellinaso","year":"2010","journal-title":"Rev. Bras. Ci\u00eancia Solo"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1111\/j.1365-2389.2011.01356.x","article-title":"Discrimination of Australian Soil Horizons and Classes from Their Visible-near Infrared Spectra","volume":"62","author":"Webster","year":"2011","journal-title":"Eur. J. Soil Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"679","DOI":"10.5935\/1806-6690.20150054","article-title":"Espectroscopia VIS-NIR-SWIR Na Avalia\u00e7\u00e3o de Solos Ao Longo de Uma Topossequ\u00eancia Em Piracicaba (SP)","volume":"46","author":"Fiorio","year":"2015","journal-title":"Rev. Cienc. Agron."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.geoderma.2015.04.017","article-title":"Spectral Libraries for Quantitative Analyses of Tropical Brazilian Soils: Comparing Vis\u2013NIR and Mid-IR Reflectance Data","volume":"255","author":"Terra","year":"2015","journal-title":"Geoderma"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.jenvman.2017.03.014","article-title":"Genesis and Properties of Wetland Soils by VIS-NIR-SWIR as a Technique for Environmental Monitoring","volume":"197","author":"Beirigo","year":"2017","journal-title":"J. Environ. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1590\/18069657rbcs20160519","article-title":"Surface Spectroscopy of Oxisols, Entisols and Inceptisol and Relationships with Selected Soil Properties","volume":"42","author":"Poppiel","year":"2018","journal-title":"Rev. Bras. Cienc. Solo"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.geoderma.2018.03.029","article-title":"Identification of Soil Profile Classes Using Depth-Weighted Visible\u2013near-Infrared Spectral Reflectance","volume":"325","author":"Xie","year":"2018","journal-title":"Geoderma"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1111\/ejss.12715","article-title":"Rapid Determination of Soil Classes in Soil Profiles Using Vis\u2013NIR Spectroscopy and Multiple Objectives Mixed Support Vector Classification","volume":"70","author":"Chen","year":"2019","journal-title":"Eur. J. Soil Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"468","DOI":"10.1016\/S1002-0160(19)60815-5","article-title":"Advances in Tropical Soil Characterization via Portable X-Ray Fluorescence Spectrometry","volume":"29","author":"Silva","year":"2019","journal-title":"Pedosphere"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1080\/05704928.2013.811081","article-title":"The Performance of Visible, near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties","volume":"49","author":"Janik","year":"2014","journal-title":"Appl. Spectrosc. Rev."},{"key":"ref_15","first-page":"190","article-title":"Spectral Pedology: A New Perspective on Evaluation of Soils along Pedogenetic Alterations","volume":"217\u2013218","year":"2014","journal-title":"Geoderma"},{"key":"ref_16","first-page":"308","article-title":"Determining Soil Properties in Amazonian Dark Earths by Reflectance Spectroscopy","volume":"237","author":"Eriksson","year":"2015","journal-title":"Geoderma"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Pinheiro, \u00c9.F.M., Ceddia, M.B., Clingensmith, C.M., Grunwald, S., and Vasques, G.M. (2017). Prediction of Soil Physical and Chemical Properties by Visible and Near-Infrared Diffuse Reflectance Spectroscopy in the Central Amazon. Remote Sens., 9.","DOI":"10.3390\/rs9040293"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"722","DOI":"10.2136\/sssaj2017.10.0361","article-title":"Predicting Physical and Chemical Properties of US Soils with a Mid-Infrared Reflectance Spectral Library","volume":"82","author":"Wijewardane","year":"2018","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1177\/0967033518821965","article-title":"How Qualitative Spectral Information Can Improve Soil Profile Classification?","volume":"27","author":"Marques","year":"2019","journal-title":"J. Near Infrared Spectrosc."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Johnson, J.M., Vandamme, E., Senthilkumar, K., Sila, A., Shepherd, K.D., and Saito, K. (2019). Near-Infrared, Mid-Infrared or Combined Diffuse Reflectance Spectroscopy for Assessing Soil Fertility in Rice Fields in Sub-Saharan Africa. Geoderma, 354.","DOI":"10.1016\/j.geoderma.2019.06.043"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"113957","DOI":"10.1016\/j.geoderma.2019.113957","article-title":"Geoderma Assessing Models for Prediction of Some Soil Chemical Properties from Portable X-Ray Fl Uorescence (PXRF) Spectrometry Data in Brazilian Coastal Plains","volume":"357","author":"Andrade","year":"2020","journal-title":"Geoderma"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"104485","DOI":"10.1016\/j.catena.2020.104485","article-title":"Prediction of Soil Texture Classes through Different Wavelength Regions of Reflectance Spectroscopy at Various Soil Depths","volume":"189","author":"Coblinski","year":"2020","journal-title":"Catena"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"104609","DOI":"10.1016\/j.catena.2020.104609","article-title":"Color in Subtropical Brazilian Soils as Determined with a Munsell Chart and by Diffuse Reflectance Spectroscopy","volume":"193","author":"Ramos","year":"2020","journal-title":"Catena"},{"key":"ref_24","first-page":"467","article-title":"Spectral Behavior (450\u20132450 Nm) of Tropical Soils from Sao Paulo State, Brazil","volume":"20","author":"Formaggo","year":"1996","journal-title":"Rev. Bras. Cienc. Solo Vi\u00e7osa Brazil"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.earscirev.2016.01.012","article-title":"Earth-Science Reviews A Global Spectral Library to Characterize the World\u2019s Soil","volume":"155","author":"Rossel","year":"2016","journal-title":"Earth Sci. Rev."},{"key":"ref_26","unstructured":"Teixeira, P.C., Donagemma, G.K., Fontana, A., and Teixeira, W.G. (2017). Manual de M\u00e9todos de An\u00e1lise de Solo, Embrapa Solos."},{"key":"ref_27","first-page":"21","article-title":"Laboratory Measurement of Soil Color: Theory and Practice","volume":"31","author":"Torrent","year":"1993","journal-title":"Soil Color"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.geoderma.2006.07.004","article-title":"Determining the Composition of Mineral-Organic Mixes Using UV-Vis-NIR Diffuse Reflectance Spectroscopy","volume":"137","author":"McGlynn","year":"2006","journal-title":"Geoderma"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Dotto, A.C., Dalmolin, R.S.D., ten Caten, A., Gris, D.J., Ruiz, L.F.C., Dotto, A.C., Dalmolin, R.S.D., ten Caten, A., Gris, D.J., and Ruiz, L.F.C. (2019). AlradSpectra: A Quantification Tool for Soil Properties Using Spectroscopic Data in R. Rev. Bras. Ci\u00eancia Solo, 43.","DOI":"10.1590\/18069657rbcs20180263"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1590\/0103-9016-2013-0365","article-title":"Morphological Interpretation of Reflectance Spectrum (MIRS) Using Libraries Looking towards Soil Classification","volume":"71","author":"Bellinaso","year":"2014","journal-title":"Sci. Agric."},{"key":"ref_31","first-page":"2007","article-title":"USGS Digital Spectral Library Splib06a","volume":"231","author":"Clark","year":"2007","journal-title":"US Geol. Surv. Digit. Data Ser."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.geoderma.2008.11.020","article-title":"Comparing Two Different Spectroscopic Techniques for the Characterization of Soil Iron Oxides: Diffuse versus Bi-Directional Reflectance","volume":"149","author":"Sellitto","year":"2009","journal-title":"Geoderma"},{"key":"ref_33","unstructured":"FAO (2014). World Reference Base for Soil Resources 2014. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps, FAO."},{"key":"ref_34","unstructured":"Staff, S.S. (2017). Soil Survey Manual-Soil Taxonomy."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"99","DOI":"10.5433\/1679-0359.2019v40n1p99","article-title":"VIS-NIR Spectral Reflectance for Discretization of Soils with High Sand Content","volume":"40","author":"Pereira","year":"2019","journal-title":"Semin. Agrar."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1071\/EA97144","article-title":"Can Mid Infrared Diffuse Reflectance Analysis Replace Soil Extractions?","volume":"38","author":"Janik","year":"1998","journal-title":"Aust. J. Exp. Agric."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"114038","DOI":"10.1016\/j.geoderma.2019.114038","article-title":"Emissivity of Agricultural Soil Attributes in Southeastern Brazil via Terrestrial and Satellite Sensors","volume":"361","author":"Salazar","year":"2020","journal-title":"Geoderma"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"967","DOI":"10.1016\/S1386-1425(01)00574-1","article-title":"Infrared Spectroscopy of Goethite Dehydroxylation: III. FT-IR Microscopy of in Situ Study of the Thermal Transformation of Goethite to Hematite","volume":"58","author":"Ruan","year":"2002","journal-title":"Spectrochim. Acta-Part A Mol. Biomol. Spectrosc."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.clay.2011.09.010","article-title":"Diffuse Reflectance Spectroscopy for Monitoring Potentially Toxic Elements in the Agricultural Soils of Changjiang River Delta, China","volume":"64","author":"Song","year":"2012","journal-title":"Appl. Clay Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1969","DOI":"10.1080\/014311698215090","article-title":"Role of Organic Matter in Obliterating the Effects of Iron on Spectral Reflectance and Colour of Brazilian Tropical Soils","volume":"19","author":"Galvao","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1590\/S1806-66902014000300002","article-title":"In Situ Separation of Soil Types along Transects Employing Vis-NIR Sensors: A New View of Soil Evaluation 1 Uma Nova Vis\u00e3o Na Avalia\u00e7\u00e3o de Solos","volume":"45","author":"Fiorio","year":"2014","journal-title":"Rev. Ci\u00eanc. Agron."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1071\/SR9950621","article-title":"Characterization and Analysis of Soils Using Mid-Infrared Partial Least-Squares.1. Correlations with XRF-Determined Major-Element Composition","volume":"33","author":"Janik","year":"1995","journal-title":"Soil Res."},{"key":"ref_43","first-page":"467","article-title":"Comportamento Espectral (450-2.450 Nm) de Solos Tropicals de Sao Paulo","volume":"20","author":"Formaggio","year":"1996","journal-title":"Rev. Bras. Ci\u00eancia Solo"},{"key":"ref_44","unstructured":"Araujo, S.R. (2013). Reflectance Spectroscopy Vis-NIR and Mid-IR Applied for Soil Studies, ESALQ\/USP."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1590\/S0100-06832004000500008","article-title":"Cor Do Solo: UMA Abordagem Da Forma Convencional de Obten\u00e7\u00e3o Em Oposi\u00e7\u00e3o \u00e0 Automatiza\u00e7\u00e3o Do M\u00e9todo Para Fins de Classifica\u00e7\u00e3o de Solos","volume":"28","author":"Campos","year":"2004","journal-title":"Rev. Bras. Cienc. Solo"},{"key":"ref_46","unstructured":"Vieira J\u00fanior, H.T., Moraes, J.M., and de Paula, T.L.F. (2012). Geoparque Chapada Dos Guimar\u00e3es (MT): Proposta, CPRM."},{"key":"ref_47","first-page":"177","article-title":"Ensaio de Caracteriza\u00e7\u00e3o Estratigr\u00e1fica Do Cret\u00e1ceo No Estado de S\u00e3o Paulo: Grupo Bauru","volume":"10","author":"Soares","year":"2018","journal-title":"Rev. Bras. Geoci\u00eancias"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1190\/1.1440721","article-title":"Spectral signatures of particulate minerals in the visible and near infrared","volume":"42","author":"Hunt","year":"1977","journal-title":"Geophysics"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.geoderma.2006.03.026","article-title":"Mid- and near-Infrared Spectroscopic Assessment of Soil Compositional Parameters and Structural Indices in Two Ferralsols","volume":"136","author":"Madari","year":"2006","journal-title":"Geoderma"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1016\/j.saa.2018.08.039","article-title":"Empirical Equation for Preliminary Assessment of Soil Texture","volume":"206","year":"2019","journal-title":"Spectrochim. Acta Part A Mol. Biomol. Spectrosc."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2136\/sssaj2005.0159","article-title":"Determination of Clay and Other Soil Properties by Near Infrared Spectroscopy","volume":"69","author":"Dalsgaard","year":"2005","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"610","DOI":"10.1590\/S0006-87052011000300017","article-title":"Modelos Espectrais Terrestres e Orbitais Na Determina\u00e7\u00e3o de Teores de Atributos Dos Solos: Potencial e Custos","volume":"70","year":"2011","journal-title":"Bragantia"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/19\/4823\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:40:32Z","timestamp":1760143232000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/19\/4823"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,27]]},"references-count":52,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["rs14194823"],"URL":"https:\/\/doi.org\/10.3390\/rs14194823","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,27]]}}}