{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T12:00:53Z","timestamp":1781870453461,"version":"3.54.5"},"reference-count":66,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Jilin province and Jilin university co-building project","award":["SXGJXX2017-2"],"award-info":[{"award-number":["SXGJXX2017-2"]}]},{"name":"the program for JLU science and technology innovative research team","award":["JLUSTIRT, 2017TD-26"],"award-info":[{"award-number":["JLUSTIRT, 2017TD-26"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Black soil in northeast China is gradually degraded and soil organic matter (SOM) content decreases at a rate of 0.5% per year because of the long-term cultivation. SOM content can be obtained rapidly by visible and near-infrared (Vis\u2013NIR) spectroscopy. It is critical to select appropriate preprocessing techniques for SOM content estimation through Vis\u2013NIR spectroscopy. This study explored three categories of preprocessing techniques to improve the accuracy of SOM content estimation in black soil area, and a total of 496 ground samples were collected from the typical black soil area at 0\u201315 cm in Hai Lun City, Heilongjiang Province, northeast of China. Three categories of preprocessing include denoising, data transformation and dimensionality reduction. For denoising, Svitzky-Golay filter (SGF), wavelet packet transform (WPT), multiplicative scatter correction (MSC), and none (N) were applied to spectrum of ground samples. For data transformation, fractional derivatives were allowed to vary from 0 to 2 with an increment of 0.2 at each step. For dimensionality reduction, multidimensional scaling (MDS) and locally linear embedding (LLE) were introduced and compared with principal component analysis (PCA), which was commonly used for dimensionality reduction of soil spectrum. After spectral pretreatments, a total of 132 partial least squares regression (PLSR) models were constructed for SOM content estimation. Results showed that SGF performed better than the other three denoising methods. Low-order derivatives can accentuate spectral features of soil for SOM content estimation; as the order increases from 0.8, the spectrum were more susceptible to spectral noise interferences. In most cases, 0.2\u20130.8 order derivatives exhibited the best estimation performance. Furthermore, PCA yielded the optimal predictability, the mean residual predictive deviation (RPD) and maximum RPD of the models using PCA were 1.79 and 2.60, respectively. The application of appropriate preprocessing techniques could improve the efficiency and accuracy of SOM content estimation, which is important for the protection of ecological and agricultural environment in black soil area.<\/jats:p>","DOI":"10.3390\/rs12223765","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T21:48:52Z","timestamp":1605563332000},"page":"3765","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":49,"title":["Exploring Appropriate Preprocessing Techniques for Hyperspectral Soil Organic Matter Content Estimation in Black Soil Area"],"prefix":"10.3390","volume":"12","author":[{"given":"Xitong","family":"Xu","sequence":"first","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengbo","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengyuan","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Yu","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Dai","sequence":"additional","affiliation":[{"name":"College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"114139","DOI":"10.1016\/j.geoderma.2019.114139","article-title":"Assessing the effects of deforestation and intensive agriculture on the soil quality through digital soil mapping","volume":"363","author":"Zeraatpisheh","year":"2020","journal-title":"Geoderma"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.agee.2017.10.023","article-title":"Critical review of the impacts of grazing intensity on soil organic carbon storage and other soil quality indicators in extensively managed grasslands","volume":"253","author":"Abdalla","year":"2018","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1016\/j.scitotenv.2017.05.239","article-title":"Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: The role of land use, soil texture, topographic indices and the influence of remote sensing data to modelling","volume":"601","author":"Schillaci","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.geoderma.2016.04.012","article-title":"UAS-based soil carbon mapping using VIS-NIR (480\u20131000 nm) multi-spectral imaging: Potential and limitations","volume":"275","author":"Heckrath","year":"2016","journal-title":"Geoderma"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.catena.2016.05.023","article-title":"Spatial variability of soil organic matter using remote sensing data","volume":"145","author":"Mirzaee","year":"2016","journal-title":"Catena"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1016\/j.ecolind.2017.08.001","article-title":"Assessment of soil quality indices for salt-affected agricultural land in Kurdistan Province, Iran","volume":"83","author":"Nabiollahi","year":"2017","journal-title":"Ecol. Indic."},{"key":"ref_7","first-page":"1032","article-title":"Research progress of Black soil in Northeast China","volume":"38","author":"Han","year":"2018","journal-title":"Sci. Geogr. Sin."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"87","DOI":"10.17221\/155\/2009-PSE","article-title":"Soil degradation: A problem threatening the sustainable development of agriculture in Northeast China","volume":"56","author":"Liu","year":"2010","journal-title":"Plant Soil Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.rse.2016.03.025","article-title":"Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon","volume":"179","author":"Castaldi","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.geoderma.2016.10.033","article-title":"Assessing soil organic matter of reclaimed soil from a large surface coal mine using a field spectroradiometer in laboratory","volume":"288","author":"Bao","year":"2017","journal-title":"Geoderma"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.geoderma.2015.07.007","article-title":"Prediction of soil organic carbon stock using visible and near infrared reflectance spectroscopy (VNIRS) in the field","volume":"261","author":"Cambou","year":"2016","journal-title":"Geoderma"},{"key":"ref_12","first-page":"208","article-title":"Consideration of peak parameters derived from continuum-removed spectra to predict extractable nutrients in soils with visible and near-infrared diffuse reflectance spectroscopy (VNIR-DRS)","volume":"232","author":"Klement","year":"2014","journal-title":"Geoderma"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"364","DOI":"10.2136\/sssaj1995.03615995005900020014x","article-title":"Near-infrared analysis as a rapid method to simultaneously evaluate several soil properties","volume":"59","author":"Banin","year":"1995","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_14","first-page":"111","article-title":"Soil reflectance","volume":"3","author":"Irons","year":"1999","journal-title":"Remote Sens. Earth Sci. Man. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"114228","DOI":"10.1016\/j.geoderma.2020.114228","article-title":"Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm","volume":"365","author":"Hong","year":"2020","journal-title":"Geoderma"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1016\/j.geoderma.2018.10.025","article-title":"Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy","volume":"337","author":"Hong","year":"2019","journal-title":"Geoderma"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1366\/13-07288","article-title":"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","volume":"67","author":"Gholizadeh","year":"2013","journal-title":"Appl. Spectrosc."},{"key":"ref_18","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":"ref_19","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1002\/jpln.200700087","article-title":"A spectroscopic approach to assess trace\u2013heavy metal contents in contaminated floodplain soils via spectrally active soil components","volume":"172","author":"Vohland","year":"2009","journal-title":"J. Plant Nutr. Soil Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/S0731-7085(99)00125-9","article-title":"The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra","volume":"21","author":"Candolfi","year":"1999","journal-title":"J. Pharm. Biomed. Anal."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Wei, L., Yuan, Z., Wang, Z., Zhao, L., Zhang, Y., Lu, X., and Cao, L. (2020). Hyperspectral Inversion of Soil Organic Matter Content Based on a Combined Spectral Index Model. Sensors, 20.","DOI":"10.3390\/s20102777"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Liu, Y., Liu, Y., Chen, Y., Zhang, Y., Shi, T., Wang, J., Hong, Y., and Fei, T. (2019). The influence of spectral pretreatment on the selection of representative calibration samples for soil organic matter estimation using Vis-NIR reflectance spectroscopy. Remote Sens., 11.","DOI":"10.3390\/rs11040450"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1366\/13-07031","article-title":"Estimating soil organic carbon content with visible-near-infrared (Vis-NIR) spectroscopy","volume":"68","author":"Gao","year":"2014","journal-title":"Appl. Spectrosc."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.still.2015.07.021","article-title":"Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy","volume":"155","author":"Nawar","year":"2016","journal-title":"Soil Tillage Res."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Shen, L., Gao, M., Yan, J., Li, Z.-L., Leng, P., Yang, Q., and Duan, S.-B. (2020). Hyperspectral Estimation of Soil Organic Matter Content using Different Spectral Preprocessing Techniques and PLSR Method. Remote Sens., 12.","DOI":"10.3390\/rs12071206"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.scijus.2006.11.001","article-title":"An investigation into the use of calculating the first derivative of absorbance spectra as a tool for forensic fibre analysis","volume":"47","author":"Wiggins","year":"2007","journal-title":"Sci. Justice"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2699","DOI":"10.3390\/rs6042699","article-title":"Estimating soil organic carbon using VIS\/NIR spectroscopy with SVMR and SPA methods","volume":"6","author":"Peng","year":"2014","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2125","DOI":"10.1016\/j.saa.2003.11.013","article-title":"A simple method to extract spectral parameters using fractional derivative spectrometry","volume":"60","author":"Kharintsev","year":"2004","journal-title":"Spectrochim. Acta Part A Mol. Biomol. Spectrosc."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Hong, Y., Chen, Y., Yu, L., Liu, Y., Liu, Y., Zhang, Y., Liu, Y., and Cheng, H. (2018). Combining fractional order derivative and spectral variable selection for organic matter estimation of homogeneous soil samples by VIS\u2013NIR spectroscopy. Remote Sens., 10.","DOI":"10.3390\/rs10030479"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.rse.2018.09.020","article-title":"New methods for improving the remote sensing estimation of soil organic matter content (SOMC) in the Ebinur Lake Wetland National Nature Reserve (ELWNNR) in northwest China","volume":"218","author":"Wang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Guyon, I., Nikravesh, M., Gunn, S., and Zadeh, L.A. (2006). Spectral Dimensionality Reduction. Feature Extraction: Foundations and Applications, Springer.","DOI":"10.1007\/978-3-540-35488-8"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1007\/s11760-013-0485-7","article-title":"Analysis of UV spectral bands using multidimensional scaling","volume":"9","author":"Machado","year":"2015","journal-title":"Signal Image Video Process."},{"key":"ref_33","first-page":"981","article-title":"Study on non-destructive detection method for egg freshness based on LLE-SVR and visible\/near-infrared spectrum","volume":"36","author":"Duan","year":"2016","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_34","first-page":"2474","article-title":"Research on Inversion Model of Low-Grade Porphyry Copper Deposit Based on Visible-Near Infrared Spectroscopy","volume":"40","year":"2020","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_35","unstructured":"Micheli, E., Schad, P., Spaargaren, O., and Dent, D. (2006). World Reference Base for Soil Resources 2006: A Framework for International Classification, Correlation and Communication, World Soil Information and Food and Agriculture Organization of the United Nations."},{"key":"ref_36","first-page":"642190","article-title":"The combined optimization of Savitzky-Golay smoothing and multiplicative scatter correction for FT-NIR PLS models","volume":"2013","author":"Chen","year":"2013","journal-title":"Int. Sch. Res. Not."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1366\/000370210790572007","article-title":"A graphical method to evaluate spectral preprocessing in multivariate regression calibrations: Example with Savitzky\u2014Golay filters and partial least squares regression","volume":"64","author":"Delwiche","year":"2010","journal-title":"Appl. Spectrosc."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"218","DOI":"10.17221\/113\/2015-SWR","article-title":"Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features","volume":"10","author":"Gholizadeh","year":"2015","journal-title":"Soil Water Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.cmpb.2015.09.001","article-title":"Computer-assisted diagnosis for chronic heart failure by the analysis of their cardiac reserve and heart sound characteristics","volume":"122","author":"Zheng","year":"2015","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0065-2113(08)60672-0","article-title":"Reflectance properties of soils","volume":"Volume 38","author":"Baumgardner","year":"1986","journal-title":"Advances in Agronomy"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"865","DOI":"10.2136\/sssaj1992.03615995005600030031x","article-title":"High dimensional reflectance analysis of soil organic matter","volume":"56","author":"Henderson","year":"1992","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1282","DOI":"10.2136\/sssaj1980.03615995004400060030x","article-title":"Reflectance technique for predicting soil organic matter","volume":"44","author":"Krishnan","year":"1980","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"641","DOI":"10.13031\/2013.31713","article-title":"Surface structure effects on close-range reflectance as a function of soil organic matter content","volume":"34","author":"Gunsaulis","year":"1991","journal-title":"Trans. ASAE"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"277","DOI":"10.3724\/SP.J.1010.2012.00277","article-title":"VIS-NIR reflectance spectroscopy of the organic matter in several types of soils","volume":"31","author":"Ji","year":"2012","journal-title":"J. Infrared Millim. WAVES"},{"key":"ref_45","first-page":"517","article-title":"Effect of soil organic matter on spectral characteristics of soil","volume":"50","author":"Peng","year":"2013","journal-title":"Acta Pedol. Sin."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1021\/ac60214a047","article-title":"Smoothing and differentiation of data by simplified least squares procedures","volume":"36","author":"Savitzky","year":"1964","journal-title":"Anal. Chem."},{"key":"ref_47","first-page":"2657","article-title":"An Adaptive Hierarchical Savitzky-Golay Spectral Filtering Algorithm and Its Application","volume":"39","author":"Lu","year":"2019","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_48","first-page":"1340","article-title":"Optimizing Savitzky-Golay parameters and its smoothing pretreatment for FTIR gas spectra","volume":"36","author":"Zhao","year":"2016","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1366\/0003702854248656","article-title":"Linearization and scatter-correction for near-infrared reflectance spectra of meat","volume":"39","author":"Geladi","year":"1985","journal-title":"Appl. Spectrosc."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.jhazmat.2013.11.059","article-title":"Visible and near-infrared reflectance spectroscopy\u2014An alternative for monitoring soil contamination by heavy metals","volume":"265","author":"Shi","year":"2014","journal-title":"J. Hazard. Mater."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"530","DOI":"10.1007\/s10278-012-9537-8","article-title":"SVM-based characterization of liver ultrasound images using wavelet packet texture descriptors","volume":"26","author":"Virmani","year":"2013","journal-title":"J. Digit. Imaging"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1109\/18.382009","article-title":"De-noising by soft-thresholding","volume":"41","author":"Donoho","year":"1995","journal-title":"IEEE Trans. Inf. Theory"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.sigpro.2013.10.028","article-title":"A fractional diffusion-wave equation with non-local regularization for image denoising","volume":"103","author":"Zhang","year":"2014","journal-title":"Signal Process."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.sigpro.2014.05.008","article-title":"Analysis of radial composite systems based on fractal theory and fractional calculus","volume":"107","author":"Razminia","year":"2015","journal-title":"Signal Process."},{"key":"ref_55","unstructured":"Podlubny, I. (1998). Fractional Differential Equations: An Introduction to Fractional Derivatives, Fractional Differential Equations, to Methods of Their Solution and Some of Their Applications, Elsevier."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.amc.2014.11.028","article-title":"Diffusion process modeling by using fractional-order models","volume":"257","author":"Sierociuk","year":"2015","journal-title":"Appl. Math. Comput."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Chen, Y., Sun, R., and Zhou, A. (2007, January 4\u20137). An overview of fractional order signal processing (FOSP) techniques. Proceedings of the International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Las Vegas, NV, USA.","DOI":"10.1115\/DETC2007-34228"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0169-7439(87)80084-9","article-title":"Principal component analysis","volume":"2","author":"Wold","year":"1987","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1007\/BF02288916","article-title":"Multidimensional scaling: I. Theory and method","volume":"17","author":"Torgerson","year":"1952","journal-title":"Psychometrika"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Cox, M.A., and Cox, T.F. (2008). Multidimensional scaling. Handbook of Data Visualization, Springer.","DOI":"10.1007\/978-3-540-33037-0_14"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"5591","DOI":"10.1073\/pnas.1031596100","article-title":"Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data","volume":"100","author":"Donoho","year":"2003","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2949","DOI":"10.1109\/JSEN.2017.2681100","article-title":"Adaptive locally linear embedding for node localization in sensor networks","volume":"17","author":"Jain","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s11831-016-9172-5","article-title":"A manifold learning approach for integrated computational materials engineering","volume":"25","author":"Lopez","year":"2018","journal-title":"Arch. Comput. Methods Eng."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0003-2670(86)80028-9","article-title":"Partial least-squares regression: A tutorial","volume":"185","author":"Geladi","year":"1986","journal-title":"Anal. Chim. Acta"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.isprsjprs.2014.01.004","article-title":"Different units of measurement of carotenoids estimation in cotton using hyperspectral indices and partial least square regression","volume":"91","author":"Yi","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.trac.2014.12.005","article-title":"Multivariate calibration of NIR spectroscopic sensors for continuous glucose monitoring","volume":"67","author":"Goodarzi","year":"2015","journal-title":"TrAC Trends Anal. Chem."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/22\/3765\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:34:15Z","timestamp":1760178855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/22\/3765"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":66,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["rs12223765"],"URL":"https:\/\/doi.org\/10.3390\/rs12223765","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,11,16]]}}}