{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T06:47:00Z","timestamp":1783752420220,"version":"3.55.0"},"reference-count":71,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2017,10,29]],"date-time":"2017-10-29T00:00:00Z","timestamp":1509235200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>We explored the potentials of both non-imaging laboratory and airborne imaging spectroscopy to assess arable soil quality indicators. We focused on microbial biomass-C (MBC) and hot water-extractable C (HWEC), complemented by organic carbon (OC) and nitrogen (N) as well-studied spectrally active parameters. The aggregation of different spectral variable selection strategies was used to analyze benefits for reachable estimation accuracies and to explore spectral predictive mechanisms for MBC and HWEC. With selected variables, quantification accuracies improved markedly for MBC (laboratory: RPD = 2.32 instead of 1.33 with full spectra; airborne: 2.35 instead of 1.80) and OC (laboratory: RPD = 3.08 instead of 2.36; airborne: 2.20 instead of 1.94). Patterns of selected variables indicated similarities between HWEC and OC, but significant differences between all other soil variables. This agreed to our results of indirect approaches in which both (i) wet-chemical data of OC and N and (ii) spectra fitted to measured OC and N values were used to estimate MBC and HWEC. Compared to these approaches, we found marked benefits of laboratory and airborne data for a direct spectral quantification of MBC (but not for HWEC). This suggests specificity of spectra for MBC, usable for the determination of this important soil parameter.<\/jats:p>","DOI":"10.3390\/rs9111103","type":"journal-article","created":{"date-parts":[[2017,10,30]],"date-time":"2017-10-30T12:16:23Z","timestamp":1509365783000},"page":"1103","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":59,"title":["Quantification of Soil Properties with Hyperspectral Data: Selecting Spectral Variables with Different Methods to Improve Accuracies and Analyze Prediction Mechanisms"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6048-1163","authenticated-orcid":false,"given":"Michael","family":"Vohland","sequence":"first","affiliation":[{"name":"Geoinformatics and Remote Sensing, Institute for Geography, Leipzig University, 04103 Leipzig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marie","family":"Ludwig","sequence":"additional","affiliation":[{"name":"Soil Science, University of Trier, 54286 Trier, Germany"},{"name":"Th\u00fcnen Institute of Biodiversity, 38116 Braunschweig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2721-7333","authenticated-orcid":false,"given":"S\u00f6ren","family":"Thiele-Bruhn","sequence":"additional","affiliation":[{"name":"Soil Science, University of Trier, 54286 Trier, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bernard","family":"Ludwig","sequence":"additional","affiliation":[{"name":"Department of Environmental Chemistry, University of Kassel, 37213 Witzenhausen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,10,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1111\/j.1365-2389.2009.01178.x","article-title":"Assessment and monitoring of soil quality using near-infrared reflectance spectroscopy (NIRS)","volume":"60","author":"Gomez","year":"2009","journal-title":"Eur. J. Soil Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/S0034-4257(02)00060-3","article-title":"Use of hyperspectral images in the identification and mapping of expansive clay soils and the role of spatial resolution","volume":"82","author":"Chabrillat","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_3","first-page":"358","article-title":"Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy","volume":"38","author":"Franceschini","year":"2015","journal-title":"Int. J. Appl. Earth Obs."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.geoderma.2015.06.021","article-title":"Organic substrate, clay type, texture, and water influence on NIR carbon measurements","volume":"261","author":"Wight","year":"2016","journal-title":"Geoderma"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.geoderma.2012.05.023","article-title":"Regional predictions of eight common soil properties and their spatial structures from hyperspectral Vis-NIR data","volume":"189\u2013190","author":"Gomez","year":"2012","journal-title":"Geoderma"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.geoderma.2012.01.017","article-title":"Airborne hyperspectral imaging of spatial soil organic carbon heterogeneity at the field scale","volume":"175\u2013176","author":"Hbirkou","year":"2012","journal-title":"Geoderma"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.geoderma.2006.03.050","article-title":"High resolution topsoil mapping using hyperspectral image and field data in multivariate regression modeling procedures","volume":"136","author":"Selige","year":"2006","journal-title":"Geoderma"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"613","DOI":"10.3390\/rs8070613","article-title":"Prediction of common surface soil properties based on Vis-NIR airborne and simulated EnMAP imaging spectroscopy data: Prediction accuracy and influence of spatial resolution","volume":"8","author":"Steinberg","year":"2016","journal-title":"Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1016\/j.geoderma.2007.12.009","article-title":"Laboratory, field and airborne spectroscopy for monitoring organic carbon content in agricultural soils","volume":"144","author":"Stevens","year":"2008","journal-title":"Geoderma"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1016\/j.rse.2007.06.014","article-title":"Estimation of soil clay and calcium carbonate using laboratory, field and airborne hyperspectral measurements","volume":"112","author":"Lagacherie","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1080\/01431160010006962","article-title":"Mapping of several soil properties using DAIS-7915 hyperspectral scanner data\u2014A case study over clayey soils in Israel","volume":"23","author":"Patkin","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"480","DOI":"10.2136\/sssaj2001.652480x","article-title":"Near-infrared reflectance spectroscopy\u2013principal components regression analyses of soil properties","volume":"65","author":"Chang","year":"2001","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1002\/jpln.201000430","article-title":"Near-infrared spectroscopy for rapid estimation of microbial properties in reclaimed mine soils","volume":"174","author":"Chodak","year":"2011","journal-title":"J. Plant Nutr. Soil Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1002\/jpln.201200483","article-title":"Usefulness of near-infrared spectroscopy for the prediction of chemical and biological soil properties in different long-term experiments","volume":"176","author":"Heinze","year":"2013","journal-title":"J. Plant Nutr. Soil Sci."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1016\/j.soilbio.2007.12.011","article-title":"Usefulness of near-infrared spectroscopy to determine biological and chemical soil properties: Importance of sample pre-treatment","volume":"40","author":"Schmidt","year":"2008","journal-title":"Soil Biol. Biochem."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1923","DOI":"10.1016\/j.soilbio.2008.04.003","article-title":"Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils","volume":"40","author":"Zornoza","year":"2008","journal-title":"Soil Biol. Biochem."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.geoderma.2008.08.007","article-title":"Past, present and future of soil quality indices: A biological perspective","volume":"147","author":"Bastida","year":"2008","journal-title":"Geoderma"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1212","DOI":"10.1016\/j.ecolind.2009.02.009","article-title":"Selecting biological indicators for monitoring soils: A framework for balancing scientific and technical opinion to assist policy development","volume":"9","author":"Ritz","year":"2009","journal-title":"Ecol. Indic."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1016\/j.cosust.2012.10.009","article-title":"Soil biodiversity, biological indicators and soil ecosystem services\u2014An overview of European approaches","volume":"4","author":"Pulleman","year":"2012","journal-title":"Curr. Opin. Sust."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"3066","DOI":"10.1016\/j.soilbio.2007.06.013","article-title":"GISQ, a multifunctional indicator of soil quality","volume":"39","author":"Velasquez","year":"2007","journal-title":"Soil Biol. Biochem."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.ejsobi.2012.01.009","article-title":"Soil biodiversity and bioindication: From complex thinking to simple acting","volume":"49","author":"Havlicek","year":"2012","journal-title":"Eur. J. Soil Biol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.agee.2005.01.017","article-title":"Microbial biomass, enzyme activities and microbial community structure in two European long-term field experiments","volume":"109","author":"Langer","year":"2005","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.agee.2006.05.022","article-title":"Soil organic matter and biological soil quality indicators after 21 years of organic and conventional farming","volume":"118","author":"Oberholzer","year":"2007","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.soilbio.2005.04.020","article-title":"Temperature and stubble management influence microbial CO2-C evolution and gross transformation rates","volume":"38","author":"Hoyle","year":"2006","journal-title":"Soil Biol. Biochem."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1661","DOI":"10.1016\/S0038-0717(99)00080-2","article-title":"Rapid response of soil microbial communities from conventional, low input, and organic farming systems to a wet\/dry cycle","volume":"31","author":"Lundquist","year":"1999","journal-title":"Soil Biol. Biochem."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.ecolind.2005.03.002","article-title":"Soil microbial indices as bioindicators of environmental changes in a poplar plantation","volume":"5","author":"Moscatelli","year":"2005","journal-title":"Ecol. Indic."},{"key":"ref_27","first-page":"415","article-title":"Microbial biomass in soil; measurement and turnover","volume":"Volume 5","author":"Paul","year":"1981","journal-title":"Soil Biochemistry"},{"key":"ref_28","first-page":"809","article-title":"Characterization of the decomposable part of soil organic matter (SOM) and transformation processes by hot water extraction","volume":"31","author":"Schulz","year":"1998","journal-title":"Eurasian Soil Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/S0016-7061(02)00370-1","article-title":"Dissolved and water-extractable organic matter in soils: A review on the influence of land use and management practices","volume":"113","author":"Chantigny","year":"2003","journal-title":"Geoderma"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1016\/S0038-0717(03)00186-X","article-title":"Hot-water extractable carbon in soils: A sensitive measurement for determining impacts of fertilisation, grazing and cultivation","volume":"35","author":"Ghani","year":"2003","journal-title":"Soil Biol. Biochem."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/S0065-2113(04)85005-3","article-title":"Labile organic matter fractions as central components of the quality of agricultural soils: An overview","volume":"85","author":"Haynes","year":"2005","journal-title":"Adv. Agron."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1111\/j.1365-2389.1996.tb01848.x","article-title":"The significance of organic separates to carbon dynamics and its modelling in some cultivated soils","volume":"47","author":"Balesdent","year":"1996","journal-title":"Eur. J. Soil Sci."},{"key":"ref_33","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_34","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.geoderma.2009.12.025","article-title":"Using data mining to model and interpret soil diffuse reflectance spectra","volume":"158","author":"Behrens","year":"2010","journal-title":"Geoderma"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.geoderma.2011.08.001","article-title":"Comparing different multivariate Calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy","volume":"166","author":"Vohland","year":"2011","journal-title":"Geoderma"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"101","DOI":"10.3832\/ifor1495-008","article-title":"Chemometric technique performances in predicting forest soil chemical and biological properties from UV-Vis-NIR reflectance spectra with small, high dimensional datasets","volume":"9","author":"Bellino","year":"2015","journal-title":"IForest"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.aca.2010.03.048","article-title":"Variables selection methods in near-infrared spectroscopy","volume":"667","author":"Zou","year":"2010","journal-title":"Anal. Chim. Acta"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.geoderma.2014.01.013","article-title":"Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection","volume":"223\u2013225","author":"Vohland","year":"2014","journal-title":"Geoderma"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.aca.2013.11.032","article-title":"A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration","volume":"807","author":"Yun","year":"2014","journal-title":"Anal. Chim. Acta"},{"key":"ref_40","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_41","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.still.2006.03.009","article-title":"On-line measurement of some selected soil properties using a VIS-NIR sensor","volume":"93","author":"Mouazen","year":"2007","journal-title":"Soil Till. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.biosystemseng.2008.02.007","article-title":"Using a digital camera to measure soil organic carbon and iorn contents","volume":"100","author":"Fouad","year":"2008","journal-title":"Biosyst. Eng."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.aca.2009.06.046","article-title":"Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration","volume":"648","author":"Li","year":"2009","journal-title":"Anal. Chim. Acta"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1002\/1099-128X(200009\/12)14:5\/6<643::AID-CEM621>3.0.CO;2-E","article-title":"Application of genetic algorithm-PLS for feature selection in spectral data sets","volume":"14","author":"Leardi","year":"2000","journal-title":"J. Chemometr."},{"key":"ref_45","unstructured":"Tressel, E. (2000). Bodenwasserhaushalt in der Trier-Bitburger-Mulde\u2013Fallstudien auf der Basis eines Lysimeter- und Bodenfeuchteme\u00dfnetzes und Regionalisierung der Jahressickerwassermengen mit einem Geographischen Informationssystem. [Ph.D. Thesis, University of Trier]."},{"key":"ref_46","unstructured":"Wagner, W. (2017, October 28). Geologische \u00dcbersichtskarte Rheinisches Schiefergebirge SW-Teil (mit Abbaustellen der Steine-Erden-Rohstoffe): Hochschulumgebungskarte Trier 1:100,000; mit Korrekturen 2000, Geologisches Landesamt Rheinland-Pfalz. Available online: http:\/\/gfzpublic.gfz-potsdam.de\/pubman\/item\/escidoc:23028."},{"key":"ref_47","unstructured":"IUSS Working Group WRB (2006). World Reference Base for Soil Resources 2006, Food and Agriculture Organization of the United Nations (FAO). Available online: http:\/\/www.fao.org\/soils-portal\/soil-survey\/soil-classification\/world-reference-base\/en\/."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1002\/jpln.1998.3581610409","article-title":"Turnover of Soil Organic Matter (SOM) and Long-Term Balances\u2014Tools for Evaluating Sustainable Productivity of Soils","volume":"161","author":"Weigel","year":"1998","journal-title":"J. Plant Nutr. Soil Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.1080\/00103624.2010.482171","article-title":"Simple and rapid laboratory method for rewetting dry soil for incubations","volume":"41","author":"Haney","year":"2010","journal-title":"Commun. Soil Sci. Plant Anal."},{"key":"ref_50","first-page":"319","article-title":"The fumigation-extraction method to estimate soil microbial biomass: Extraction with 0.01 M CaCl2","volume":"48","author":"Joergensen","year":"1995","journal-title":"Agrobiol. Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1016\/0038-0717(90)90046-3","article-title":"Measurement of soil microbial biomass by fumigation-extraction\u2013An automated procedure","volume":"22","author":"Wu","year":"1990","journal-title":"Soil Biol. Biochem."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Blume, H.-P., Br\u00fcmmer, G.W., Horn, R., Kandeler, E., K\u00f6gel-Knabner, I., Kretzschmar, R., Stahr, K., and Wilke, B.-M. (2010). Scheffer\/Schachtschabel: Lehrbuch der Bodenkunde, Spektrum Akademischer Verlag.","DOI":"10.1007\/978-3-662-49960-3"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/S0038-0717(02)00297-3","article-title":"Structure and function of the soil microbial community in a long-term fertilizer experiment","volume":"35","author":"Marschner","year":"2003","journal-title":"Soil Biol. Biochem."},{"key":"ref_54","unstructured":"Cocks, T., Jenssen, R., Stewart, A., Wilson, I., and Shields, T. (1998, January 6\u20138). The HyMapTM airborne hyperspectral sensor: The system calibration and performance. Proceedings of the 1st EARSeL Workshop on Imaging Spectroscopy, Zurich, Switzerland."},{"key":"ref_55","unstructured":"FOSS Analytical (2006). XDS Rapid Content Analyzer Service Manual, FOSS Analytical."},{"key":"ref_56","unstructured":"Hayes, D.J.M. (2011). Analysis of Lignocellulosic Feedstocks for Biorefineries with a Focus on the Development of near Infrared Spectroscopy as a Primary Analytical Tool. [Ph.D. Thesis, University of Limerick]."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1255\/jnirs.283","article-title":"Multivariate Calibration and chemometrics for near infrared spectroscopy: Which method?","volume":"8","author":"Dardenne","year":"2000","journal-title":"J. Near Infrared Spec."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.geoderma.2005.01.001","article-title":"Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana","volume":"129","author":"Brown","year":"2005","journal-title":"Geoderma"},{"key":"ref_59","unstructured":"Sparks, D.L. Visible and Near Infrared Spectroscopy in Soil Science. Advances in Agronomy, Academic Press."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/S0016-7061(98)00023-8","article-title":"Laboratory evaluation of a proximal sensing technique for simultaneous measurement of soil clay and water content","volume":"85","author":"McBratney","year":"1998","journal-title":"Geoderma"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.geoderma.2009.11.032","article-title":"Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy","volume":"158","author":"Stevens","year":"2010","journal-title":"Geoderma"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"794","DOI":"10.2136\/sssaj2013.11.0488","article-title":"Soil organic carbon variation in Alpine landscape (Northern Italy) as evaluated by diffuse reflectance Spectroscopy","volume":"78","author":"Colombo","year":"2017","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Workman, J., and Weyer, L. (2008). Practical Guide to Interpretive Near-Infrared Spectroscopy, CRC Press, Taylor & Francis Group.","DOI":"10.1201\/9781420018318"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1111\/j.1365-2389.2011.01369.x","article-title":"Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques","volume":"62","author":"Vohland","year":"2011","journal-title":"Eur. J. Soil Sci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1255\/jnirs.1233","article-title":"Using variable selection and wavelets to exploit the full potential of visible\u2013near infrared spectra for predicting soil properties","volume":"24","author":"Vohland","year":"2016","journal-title":"J. Near Infrared Spec."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.soilbio.2015.03.015","article-title":"Usefulness of middle infrared spectroscopy for an estimation of chemical and biological soil properties\u2014Underlying principles and comparison of different software packages","volume":"86","author":"Ludwig","year":"2015","journal-title":"Soil Biol. Biochem."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.geoderma.2016.01.010","article-title":"Pitfalls in the use of middle-infrared spectroscopy: Respresentativeness and ranking criteria for the estimation of soil properties","volume":"268","author":"Ludwig","year":"2016","journal-title":"Geoderma"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1002\/jpln.200290007","article-title":"Discriminating factors of the spatial variability of soil quality parameters at landscape-scale","volume":"165","author":"Emmerling","year":"2002","journal-title":"J. Plant Nutr. Soil Sci."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1577","DOI":"10.1016\/j.soilbio.2005.01.017","article-title":"Application of multiple regression and neural network approaches for landscape-scale assessment of soil microbial biomass","volume":"37","author":"Lentzsch","year":"2005","journal-title":"Soil Biol. Biochem."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Peng, Y., Xiong, X., Adhikari, K., Knadel, M., Grunwald, S., and Greve, M.H. (2015). Modeling Soil Organic Carbon at Regional Scale by Combining Multi-Spectral Images with Laboratory Spectra. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0142295"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1046\/j.1365-2389.1999.00241.x","article-title":"Thermal stability and composition of mineral-bound organic matter in density fractions of soil","volume":"50","author":"Schulten","year":"1999","journal-title":"Eur. J. Soil Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/11\/1103\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:48:49Z","timestamp":1760208529000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/11\/1103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,29]]},"references-count":71,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2017,11]]}},"alternative-id":["rs9111103"],"URL":"https:\/\/doi.org\/10.3390\/rs9111103","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,29]]}}}