{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T16:09:08Z","timestamp":1791994148381,"version":"4.4.0"},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100012542","name":"Sichuan Province Science and Technology Support Program","doi-asserted-by":"publisher","award":["2023YFG0175"],"award-info":[{"award-number":["2023YFG0175"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["21904016"],"award-info":[{"award-number":["21904016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Environmental Management"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1016\/j.jenvman.2024.120094","type":"journal-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T03:47:53Z","timestamp":1705549673000},"page":"120094","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":29,"special_numbering":"C","title":["Enhancing soil texture classification with multivariate scattering correction and residual neural networks using visible near-infrared spectra"],"prefix":"10.1016","volume":"352","author":[{"given":"Zeyuan","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9180-8880","authenticated-orcid":false,"given":"Zheyuan","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyun","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geng","family":"Leng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbo","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5862-3585","authenticated-orcid":false,"given":"Yuewu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenwei","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiawei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jenvman.2024.120094_bib1","series-title":"Reflection of Radiant Energy from Soils","year":"1971"},{"key":"10.1016\/j.jenvman.2024.120094_bib2","volume":"vol. 13","year":"2008"},{"issue":"4","key":"10.1016\/j.jenvman.2024.120094_bib3","doi-asserted-by":"crossref","first-page":"592","DOI":"10.1111\/ejss.12553","article-title":"Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database","volume":"69","author":"Castaldi","year":"2018","journal-title":"Eur. J. Soil Sci."},{"key":"10.1016\/j.jenvman.2024.120094_bib4","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1016\/j.still.2015.07.008","article-title":"Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?","volume":"155","author":"Guerrero","year":"2016","journal-title":"Soil Tillage Res."},{"key":"10.1016\/j.jenvman.2024.120094_bib5","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.still.2016.10.008","article-title":"Proximal gamma-ray spectrometry for site-independent in situ prediction of soil texture on ten heterogeneous fields in Germany using support vector machines","volume":"168","author":"Heggemann","year":"2017","journal-title":"Soil Tillage Res."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120094_bib6","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1111\/ejss.12733","article-title":"Estimating soil texture from vis\u2013NIR spectra","volume":"70","author":"Hobley","year":"2019","journal-title":"Eur. J. Soil Sci."},{"issue":"2\u20134","key":"10.1016\/j.jenvman.2024.120094_bib7","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/0167-1987(94)90005-1","article-title":"Soil physical properties related to soil structure","volume":"30","author":"Horn","year":"1994","journal-title":"Soil Tillage Res."},{"issue":"6","key":"10.1016\/j.jenvman.2024.120094_bib8","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1071\/SR02137","article-title":"Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy","volume":"41","author":"Islam","year":"2003","journal-title":"Soil Res."},{"key":"10.1016\/j.jenvman.2024.120094_bib9","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1016\/j.geoderma.2018.10.038","article-title":"Near infrared spectroscopy as an easy and precise method to estimate soil texture","volume":"337","author":"Jaconi","year":"2019","journal-title":"Geoderma"},{"key":"10.1016\/j.jenvman.2024.120094_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2020.107398","article-title":"1D convolutional neural networks and applications: a survey","volume":"151","author":"Kiranyaz","year":"2021","journal-title":"Mech. Syst. Signal Process."},{"key":"10.1016\/j.jenvman.2024.120094_bib11","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.inffus.2019.12.001","article-title":"A survey on machine learning for data fusion","volume":"57","author":"Meng","year":"2020","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.jenvman.2024.120094_bib12","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.chemolab.2013.12.004","article-title":"Regularized multivariate scatter correction","volume":"132","author":"Mou","year":"2014","journal-title":"Chemometr. Intell. Lab. Syst."},{"issue":"4","key":"10.1016\/j.jenvman.2024.120094_bib13","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1255\/jnirs.541","article-title":"Classification of soil texture classes by using soil visual near infrared spectroscopy and factorial discriminant analysis techniques","volume":"13","author":"Mouazen","year":"2005","journal-title":"J. Near Infrared Spectrosc."},{"key":"10.1016\/j.jenvman.2024.120094_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.still.2022.105545","article-title":"Spectra transfer-based learning for predicting and classifying soil texture with short-ranged Vis-NIRS sensor","volume":"225","author":"Munnaf","year":"2023","journal-title":"Soil Tillage Res."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120094_bib15","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1111\/ejss.12499","article-title":"LUCAS Soil, the largest expandable soil dataset for Europe: a review","volume":"69","author":"Orgiazzi","year":"2018","journal-title":"Eur. J. Soil Sci."},{"issue":"2","key":"10.1016\/j.jenvman.2024.120094_bib16","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.landusepol.2011.07.003","article-title":"European Soil Data Centre: response to European policy support and public data requirements","volume":"29","author":"Panagos","year":"2012","journal-title":"Land Use Pol."},{"key":"10.1016\/j.jenvman.2024.120094_bib17","series-title":"Spatial Complexity: Theory, Mathematical Methods and Applications","year":"2020"},{"issue":"3","key":"10.1016\/j.jenvman.2024.120094_bib18","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.2136\/sssaj2006.0164","article-title":"Soil chemical and physical properties that differentiate urban land\u2010use and cover types","volume":"71","author":"Pouyat","year":"2007","journal-title":"Soil Sci. Soc. Am. J."},{"issue":"10","key":"10.1016\/j.jenvman.2024.120094_bib19","doi-asserted-by":"crossref","first-page":"1201","DOI":"10.1016\/j.trac.2009.07.007","article-title":"Review of the most common pre-processing techniques for near-infrared spectra","volume":"28","author":"Rinnan","year":"2009","journal-title":"TrAC, Trends Anal. Chem."},{"key":"10.1016\/j.jenvman.2024.120094_bib20","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.geoderma.2017.09.014","article-title":"Internal soil standard method for the Brazilian soil spectral library: performance and proximate analysis","volume":"312","author":"Romero","year":"2018","journal-title":"Geoderma"},{"issue":"18","key":"10.1016\/j.jenvman.2024.120094_bib21","doi-asserted-by":"crossref","first-page":"8972","DOI":"10.3390\/app12188972","article-title":"Deep residual learning for image recognition: a survey","volume":"12","author":"Shafiq","year":"2022","journal-title":"Appl. Sci."},{"issue":"7","key":"10.1016\/j.jenvman.2024.120094_bib22","first-page":"168","article-title":"Soil classification based on near infrared reflectance spectroscopy and orthogonal signal correction-partial least square","volume":"28","author":"Song","year":"2012","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"10.1016\/j.jenvman.2024.120094_bib23","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.geoderma.2014.01.019","article-title":"Soil classification using visible\/near-infrared diffuse reflectance spectra from multiple depths","volume":"223","author":"Vasques","year":"2014","journal-title":"Geoderma"},{"issue":"2","key":"10.1016\/j.jenvman.2024.120094_bib24","doi-asserted-by":"crossref","first-page":"420","DOI":"10.2136\/sssaj2015.10.0379","article-title":"The prediction of soil texture from visible\u2013near\u2010infrared spectra under varying moisture conditions","volume":"80","author":"Wang","year":"2016","journal-title":"Soil Sci. Soc. Am. J."},{"key":"10.1016\/j.jenvman.2024.120094_bib25","doi-asserted-by":"crossref","first-page":"416","DOI":"10.4028\/www.scientific.net\/AMR.181-182.416","article-title":"Selection of spectral preprocessing methods for soil texture classification","volume":"181","author":"Yang","year":"2011","journal-title":"Adv. Mater. Res."},{"issue":"6","key":"10.1016\/j.jenvman.2024.120094_bib26","doi-asserted-by":"crossref","first-page":"7759","DOI":"10.1007\/s11042-022-11915-2","article-title":"Apple leaf disease recognition method with improved residual network","volume":"81","author":"Yu","year":"2022","journal-title":"Multimed. Tool. Appl."},{"issue":"7","key":"10.1016\/j.jenvman.2024.120094_bib27","first-page":"1759","article-title":"NIR spectral analysis for soil textural classification","volume":"29","author":"Zeng","year":"2009","journal-title":"Spectrosc. Spectr. Anal."},{"key":"10.1016\/j.jenvman.2024.120094_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.geoderma.2021.115366","article-title":"Soil properties: their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks","volume":"402","author":"Zhong","year":"2021","journal-title":"Geoderma"}],"container-title":["Journal of Environmental Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S030147972400080X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S030147972400080X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T07:33:12Z","timestamp":1733470392000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S030147972400080X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":28,"alternative-id":["S030147972400080X"],"URL":"https:\/\/doi.org\/10.1016\/j.jenvman.2024.120094","relation":{},"ISSN":["0301-4797"],"issn-type":[{"value":"0301-4797","type":"print"}],"subject":[],"published":{"date-parts":[[2024,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Enhancing soil texture classification with multivariate scattering correction and residual neural networks using visible near-infrared spectra","name":"articletitle","label":"Article Title"},{"value":"Journal of Environmental Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jenvman.2024.120094","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"120094"}}