{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T22:50:07Z","timestamp":1773787807397,"version":"3.50.1"},"reference-count":77,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020","doi-asserted-by":"publisher","award":["721995"],"award-info":[{"award-number":["721995"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","award":["647038"],"award-info":[{"award-number":["647038"]}],"id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Biocrusts, topsoil communities formed by mosses, lichens, liverworts, algae, and cyanobacteria, are a key biotic component of dryland ecosystems worldwide. Experiments carried out with lichen- and moss-dominated biocrusts indicate that climate change may dramatically reduce their cover and diversity. Therefore, the development of reproducible methods to monitor changes in biocrust diversity and abundance across multiple spatio-temporal scales is key for evaluating how climate change may impact biocrust communities and the myriad of ecosystem functions and services that rely on them. In this study, we collected lichen-dominated biocrust samples from a semi-arid ecosystem in central Spain. Their \u03b1-diversity was then evaluated using very high spatial resolution hyperspectral images (pixel size of 0.091 mm) measured in laboratory under controlled conditions. Support vector machines were used to map the biocrust composition. Traditional \u03b1-diversity metrics (i.e., species richness, Shannon\u2019s, Simpson\u2019s, and Pielou\u2019s indices) were calculated using lichen fractional cover data derived from their classifications in the hyperspectral imagery. Spectral diversity was calculated at different wavelength ranges as the coefficient of variation of different regions of the reflectance spectra of lichens and as the standard deviation of the continuum removal algorithm (SD_CR). The accuracy of the classifications of the images obtained was close to 100%. The results showed the best coefficient of determination (r2 = 0.47) between SD_CR calculated at 680 nm and the \u03b1-diversity calculated as the Simpson\u2019s index, which includes species richness and their evenness. These findings indicate that this spectral diversity index could be used to track spatio-temporal changes in lichen-dominated biocrust communities. Thus, they are the first step to monitor \u03b1-diversity of biocrust-forming lichens at the ecosystem and regional levels, a key task for any program aiming to evaluate changes in biodiversity and associated ecosystem services in drylands.<\/jats:p>","DOI":"10.3390\/rs11242942","type":"journal-article","created":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T05:54:51Z","timestamp":1575870891000},"page":"2942","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Spectral Diversity Successfully Estimates the \u03b1-Diversity of Biocrust-Forming Lichens"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1244-5704","authenticated-orcid":false,"given":"Javier","family":"Blanco-Sacrist\u00e1n","sequence":"first","affiliation":[{"name":"Remote Sensing of Environmental Dynamics Lab, University of Milano \u2013 Bicocca, 20126 Milan, Italy"}]},{"given":"Cinzia","family":"Panigada","sequence":"additional","affiliation":[{"name":"Remote Sensing of Environmental Dynamics Lab, University of Milano \u2013 Bicocca, 20126 Milan, Italy"}]},{"given":"Giulia","family":"Tagliabue","sequence":"additional","affiliation":[{"name":"Remote Sensing of Environmental Dynamics Lab, University of Milano \u2013 Bicocca, 20126 Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9332-7963","authenticated-orcid":false,"given":"Rodolfo","family":"Gentili","sequence":"additional","affiliation":[{"name":"Remote Sensing of Environmental Dynamics Lab, University of Milano \u2013 Bicocca, 20126 Milan, Italy"}]},{"given":"Roberto","family":"Colombo","sequence":"additional","affiliation":[{"name":"Remote Sensing of Environmental Dynamics Lab, University of Milano \u2013 Bicocca, 20126 Milan, Italy"}]},{"given":"M\u00f3nica","family":"Ladr\u00f3n de Guevara","sequence":"additional","affiliation":[{"name":"Universidad Rey Juan Carlos, 28933 M\u00f3stoles, Spain"},{"name":"Centre for Ecological Research and Forestry Applications, CREAF-CSIC-UAB, 08193 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7434-4856","authenticated-orcid":false,"given":"Fernando T.","family":"Maestre","sequence":"additional","affiliation":[{"name":"Department of Ecology, University of Alicante, 03690 San Vicente del Raspeig, Alicante, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6052-3140","authenticated-orcid":false,"given":"Micol","family":"Rossini","sequence":"additional","affiliation":[{"name":"Remote Sensing of Environmental Dynamics Lab, University of Milano \u2013 Bicocca, 20126 Milan, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Belnap, J., and Lange, O.L. (2003). Biological Soil Crusts: Structure, Function, and Management, Springer Science & Business Media.","DOI":"10.1007\/978-3-642-56475-8"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Weber, B., B\u00fcdel, B., and Belnap, J. (2016). Biological Soil Crusts: An Organizing Principle in Drylands, Springer. [1st ed.]. Ecological Studies.","DOI":"10.1007\/978-3-319-30214-0"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.jaridenv.2017.09.005","article-title":"Ecosystem services provided by biocrusts: From ecosystem functions to social values","volume":"159","author":"Castro","year":"2018","journal-title":"J. Arid Environ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1111\/j.1365-2435.2011.01835.x","article-title":"Functional profiles reveal unique roles of various biological soil crust organisms in Spain","volume":"25","author":"Bowker","year":"2011","journal-title":"Funct. Ecol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1007\/s10021-013-9644-5","article-title":"Diversity and patch-size distributions of biological soil crusts regulate dryland ecosystem multifunctionality","volume":"16","author":"Bowker","year":"2013","journal-title":"Ecosystems"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1016\/j.soilbio.2009.10.025","article-title":"Biological crusts as a model system for examining the biodiversity-ecosystem function relationship in soils","volume":"42","author":"Bowker","year":"2010","journal-title":"Soil Biol. Biochem."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Tongway, D.J., and Hindley, N. (2004). Landscape Function Analysis: Procedures for Monitoring and Assessing Landscapes, CSIRO Publishing.","DOI":"10.2989\/10220110409485841"},{"key":"ref_8","first-page":"451","article-title":"Biocrusts in the Context of Global Change","volume":"Volume 226","author":"Weber","year":"2016","journal-title":"Biological Soil Crust: An Organizing Principle in Drylands"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1038\/s41561-018-0072-1","article-title":"Dryland photoautotrophic soil surface communities endangered by global change","volume":"11","author":"Belnap","year":"2018","journal-title":"Nat. Geosci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"12116","DOI":"10.1073\/pnas.1509150112","article-title":"Climate change and physical disturbance cause similar community shifts in biological soil crusts","volume":"112","author":"Ferrenber","year":"2015","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"865","DOI":"10.3389\/fmicb.2015.00865","article-title":"Warming reduces the cover and diversity of biocrust-forming mosses and lichens, and increases the physiological stress of soil microbial communities in a semi-arid Pinus halepensis plantation","volume":"6","author":"Maestre","year":"2015","journal-title":"Front. Microbiol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1111\/nph.15000","article-title":"Warming reduces the cover, richness and evenness of lichen-dominated biocrusts but promotes moss growth: Insights from an 8 yr experiment","volume":"220","author":"Gozalo","year":"2018","journal-title":"New Phytol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.soilbio.2013.02.002","article-title":"Hydrology in a patterned landscape is co-engineered by soil-disturbing animals and biological crusts","volume":"61","author":"Bowker","year":"2013","journal-title":"Soil Biol. Biochem."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"10541","DOI":"10.1038\/ncomms10541","article-title":"Microbial diversity drives multifunctionality in terrestrial ecosystems","volume":"7","author":"Maestre","year":"2016","journal-title":"Nat. Commun."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2377","DOI":"10.1080\/01431160117096","article-title":"Using remote sensing to assess biodiversity","volume":"22","author":"Nagendra","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/S0169-5347(03)00070-3","article-title":"Remote sensing for biodiversity science and conservation","volume":"18","author":"Turner","year":"2003","journal-title":"Trends Ecol. Evol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"20130190","DOI":"10.1098\/rstb.2013.0190","article-title":"Satellite remote sensing, biodiversity research and conservation of the future","volume":"369","author":"Pettorelli","year":"2014","journal-title":"Philos. Trans. R. Soc. B"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1002\/rse2.9","article-title":"Satellite remote sensing to monitor species diversity: Potential and pitfalls","volume":"2","author":"Rocchini","year":"2015","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1177\/0309133308093606","article-title":"Measuring and modelling biodiversity from space","volume":"32","author":"Gillespie","year":"2008","journal-title":"Prog. Phys. Geogr."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1002\/env.516","article-title":"Quantitative tools for perfecting species lists","volume":"13","author":"Palmer","year":"2002","journal-title":"Environmetrics"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.ecolind.2015.12.026","article-title":"Mapping tree species diversity of a tropical montane forest by unsupervised clustering of airborne imaging spectroscopy data","volume":"64","author":"Heiskanen","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Wang, R., Gamon, J.A., Emmerton, C.A., Li, H., Nestola, E., Pastorello, G.Z., and Menzer, O. (2016). Integrated analysis of productivity and biodiversity in a southern Alberta prairie. Remote Sens., 8.","DOI":"10.3390\/rs8030214"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3475","DOI":"10.1002\/ece3.2876","article-title":"Correlating species and spectral diversities using hyperspectral remote sensing in early-successional fields","volume":"7","author":"Aneece","year":"2017","journal-title":"Ecol. Evol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1002\/eap.1669","article-title":"The spatial sensitivity of the spectral diversity-biodiversity relationship: An experimental test in a prairie grassland","volume":"28","author":"Wang","year":"2018","journal-title":"Ecol. Appl."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.rse.2018.04.010","article-title":"Influence of species richness, evenness, and composition on optical diversity: A simulation study","volume":"211","author":"Wang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1016\/j.ecoinf.2010.06.001","article-title":"Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges","volume":"5","author":"Rocchini","year":"2010","journal-title":"Ecol. Inform."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.rse.2017.12.014","article-title":"Remote sensing of biodiversity: Soil correction and data dimension reduction methods improve assessment of \u03b1-diversity (species richness) in prairie ecosystems","volume":"206","author":"Gholizadeh","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1080\/014311697218368","article-title":"Development and implementation of spectral crust index over dune sands","volume":"18","author":"Karnieli","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.rse.2005.02.011","article-title":"A new index for mapping lichen-dominated biological soil crusts in desert areas","volume":"96","author":"Chen","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2187","DOI":"10.1016\/j.rse.2007.09.014","article-title":"A new approach for mapping of Biological Soil Crusts in semidesert areas with hyperspectral imagery","volume":"112","author":"Weber","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.isprsjprs.2014.02.002","article-title":"Advanced image processing methods as a tool to map and quantify different types of biological soil crust","volume":"90","author":"Escribano","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.jaridenv.2014.01.017","article-title":"Identification and characterization of Biological Soil Crusts in a sand dune desert environment across Israel\u2013Egypt border using LWIR emittance spectroscopy","volume":"112","author":"Rozenstein","year":"2015","journal-title":"J. Arid Environ."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Panigada, C., Tagliabue, G., Zaady, E., Rozenstein, O., Garzonio, R., Di Mauro, B., De Amicis, M., Colombo, R., Cogliati, S., and Miglietta, F. (2019). A new approach for biocrust and vegetation monitoring in drylands using multi-temporal Sentinel-2 images. Prog. Phys. Geogr.","DOI":"10.1177\/0309133319841903"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1007\/s10666-006-9066-2","article-title":"Prediction of lichen diversity in an UNESCO biosphere reserve\u2014Correlation of high resolution remote sensing data with field samples","volume":"12","author":"Waser","year":"2007","journal-title":"Environ. Model. Assess."},{"key":"ref_35","first-page":"215","article-title":"Remote Sensing of Biological Soil Crusts at Different Scales","volume":"Volume 226","author":"Weber","year":"2016","journal-title":"Biological Soil Crust: An Organizing Principle in Drylands"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.rse.2008.09.013","article-title":"Remote sensing of biological soil crust under simulated climate change manipulations in the Mojave Desert","volume":"113","author":"Ustin","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Weksler, S., Rozenstein, O., and Ben-Dor, E. (2018). Mapping Surface Quartz Content in Sand Dunes Covered by Biological Soil Crusts Using Airborne Hyperspectral Images in the Longwave Infrared Region. Minerals, 8.","DOI":"10.3390\/min8080318"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1287","DOI":"10.1016\/j.scitotenv.2017.02.141","article-title":"Biomass assessment of microbial surface communities by means of hyperspectral remote sensing data","volume":"586","author":"Paul","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Lehnert, L., Jung, P., Obermeier, W., B\u00fcdel, B., and Bendix, J. (2018). Estimating Net Photosynthesis of Biological Soil Crusts in the Atacama Using Hyperspectral Remote Sensing. Remote Sens., 10.","DOI":"10.3390\/rs10060891"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Rom\u00e1n, J.R., Rodr\u00edguez-Caballero, E., Rodr\u00edguez-Lozano, B., Roncero-Ramos, B., Chamizo, S., \u00c1guila-Carricondo, P., and Cant\u00f3n, Y. (2019). Spectral Response Analysis: An Indirect and Non-Destructive Methodology for the Chlorophyll Quantification of Biocrusts. Remote Sens., 11.","DOI":"10.3390\/rs11111350"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"6329","DOI":"10.1029\/JB089iB07p06329","article-title":"Reflectance spectroscopy. Quantitative analysis techniques for remote sensing applications","volume":"89","author":"Clark","year":"1984","journal-title":"J. Geophys. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.rse.2003.12.009","article-title":"Reflectance spectra of subarctic lichens between 400 and 2400 nm","volume":"90","author":"Rees","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.jaridenv.2017.11.008","article-title":"Diversity of biocrust- forming cyanobacteria in a semiarid gypsiferous site from central Spain","volume":"151","author":"Mateo","year":"2018","journal-title":"J. Arid Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3835","DOI":"10.1111\/gcb.12306","article-title":"Changes in biocrust cover drive carbon cycle responses to climate change in drylands","volume":"19","author":"Maestre","year":"2013","journal-title":"Glob. Chang. Biol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.coldregions.2018.07.005","article-title":"A novel hyperspectral system for high resolution imaging of ice cores: Application to light-absorbing impurities and ice structure","volume":"155","author":"Garzonio","year":"2018","journal-title":"Cold Reg. Sci. Technol."},{"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","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-Vector Networks","volume":"297","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"key":"ref_48","first-page":"137","article-title":"Universal Learning Technology: Support Vector Machines","volume":"2","author":"Vapnik","year":"2005","journal-title":"J. Adv. Technol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2006.03.004","article-title":"Training set size requirements for the classification of a specific class","volume":"104","author":"Foody","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Chang, C., and Lin, C. (2011). LIBSVM: A library for support vector machines. ACM Trans. Intell. Syst. Technol., 2.","DOI":"10.1145\/1961189.1961199"},{"key":"ref_51","unstructured":"DeLeo, J.M. (1993, January 25\u201328). Receiver operating characteristic laboratory (ROCLAB): Software for developing decision strategies that account for uncertainty. Proceedings of the 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis, College Park, MD, USA."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","article-title":"The use of the area under the ROC curve in the evaluation of machine learning algorithms","volume":"30","author":"Bradlye","year":"1997","journal-title":"Pattern Recognit."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1148\/radiology.143.1.7063747","article-title":"The meaning and use of the area under a receiver operating characteristic (ROC) curve","volume":"143","author":"Hanley","year":"1982","journal-title":"Radiology"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","article-title":"An Introduction to ROC Analysis","volume":"27","author":"Fawcett","year":"2006","journal-title":"Pattern Recognit. Lett."},{"key":"ref_55","unstructured":"Signorell, A., Aho, K., Alfons, A., Anderegg, N., Aragon, T., Arppe, A., Baddeley, A., Barton, K., Bolker, B., and Borchers, H.W. (2019, May 16). DescTools: Descriptive Tools Analysis. Available online: https:\/\/cran.r-project.org\/web\/packages\/DescTools\/index.html."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Congalton, R.G., and Green, K. (2008). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, CRC Press, Taylor and Francis Group. [2nd ed.].","DOI":"10.1201\/9781420055139"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Syst. Tech. J."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1038\/163688a0","article-title":"Measurement of diversity","volume":"163","author":"Simpson","year":"1949","journal-title":"Nature"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/0022-5193(66)90013-0","article-title":"The measurement of diversity in different types of biological collections","volume":"13","author":"Pielou","year":"1966","journal-title":"J. Theor. Biol."},{"key":"ref_60","unstructured":"Oksanen, J., Blanchet, F.G., Kindt, R., Legendre, P., O\u2019Hara, R.B., Simpson, G.L., Solymos, P., Stevens, M.H.H., and Wagner, H. (2019, June 15). Vegan: Community Ecology Package. Available online: https:\/\/CRAN. R-project.org\/package=vegan."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1117\/12.339824","article-title":"Support vector machines for hyperspectral remote sensing classification","volume":"3584","author":"Gualtieri","year":"1998","journal-title":"Proc. SPIE"},{"key":"ref_62","unstructured":"Watanachaturaporn, P., Arora, M.K., and Varshney, P.K. (2005, January 7\u201311). Hyperspectral image classification using support vector machines: A comparison with decision tree and neural network classifiers. Proceedings of the American Society for Photogrammetry & Remote Sensing (ASPRS) 2005 Annual Conference, Reno, NV, USA."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1016\/j.rse.2007.07.028","article-title":"Recent advances in techniques for hyperspectral image processing","volume":"113","author":"Plaza","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"3367","DOI":"10.1080\/014311699211381","article-title":"The influence of principal component analysis on the spatial structure of a multispectral dataset","volume":"20","author":"Ricotta","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2170","DOI":"10.1016\/j.rse.2007.10.013","article-title":"Application of a multi-scale spatial and spectral analysis to predict primate occurrence and habitat associations in Kibale National Park, Uganda","volume":"112","author":"Stickler","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"976","DOI":"10.1038\/s41559-018-0551-1","article-title":"Plant spectral diversity integrates functional and phylogenetic components of biodiversity and predicts ecosystem function","volume":"2","author":"Schweiger","year":"2018","journal-title":"Nat. Ecol. Evol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1080\/01431169408954106","article-title":"Reflectance spectra of microphytic soil crusts in semiarid Australia","volume":"15","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1609","DOI":"10.1080\/01431169608948726","article-title":"Reflectance spectrophotometry of cyanobacteria within soil crusts\u2014A diagnostic tool","volume":"17","author":"Karnieli","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1111\/j.1365-2389.2011.01406.x","article-title":"Discriminating soil crust type, development stage and degree of disturbance in semiarid environments from their spectral characteristics","volume":"63","author":"Chamizo","year":"2012","journal-title":"Eur. J. Soil Sci."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1146\/annurev.es.05.110174.001441","article-title":"The measurement of species diversity","volume":"5","author":"Peet","year":"1974","journal-title":"Ann. Rev. Ecol. Syst."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1890\/1051-0761(1997)007[1064:MSOPDE]2.0.CO;2","article-title":"Multiscale sampling of plant diversity: Effects of minimum mapping unit size","volume":"7","author":"Stohlgren","year":"1997","journal-title":"Ecol. Appl."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1111\/j.1472-4642.2007.00333.x","article-title":"Rapid plant diversity assessment using a pixel nested plot design: A case study in Beaver Meadows, Rocky Mountain National Park, Colorado, USA","volume":"13","author":"Kalkhan","year":"2007","journal-title":"Divers. Distrib."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1007\/s10531-008-9536-8","article-title":"Effects of spatial heterogeneity on butterfly species richness in Rocky Mountain National Park, CO, USA","volume":"18","author":"Kumar","year":"2009","journal-title":"Biodiv. Conserv."},{"key":"ref_74","doi-asserted-by":"crossref","unstructured":"Aasen, H., Honkavaara, E., Lucieer, A., and Zarco-Tejada, P. (2018). Quantitative remote sensing at ultra-high resolution with UAV spectroscopy: A review of sensor technology, measurement procedures, and data correction workflows. Remote Sens., 10.","DOI":"10.3390\/rs10071091"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1890\/120150","article-title":"Lightweight unmanned aerial vehicles will revolutionize spatial ecology","volume":"11","author":"Anderson","year":"2013","journal-title":"Front. Ecol. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"1603","DOI":"10.1016\/j.rse.2011.03.003","article-title":"Endmember variability in Spectral Mixture Analysis: A review","volume":"115","author":"Somers","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/79.974727","article-title":"Spectral unmixing","volume":"19","author":"Keshava","year":"2002","journal-title":"IEEE Signal Proc."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/24\/2942\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:40:36Z","timestamp":1760190036000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/24\/2942"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,9]]},"references-count":77,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2019,12]]}},"alternative-id":["rs11242942"],"URL":"https:\/\/doi.org\/10.3390\/rs11242942","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,9]]}}}