{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T13:38:47Z","timestamp":1778852327234,"version":"3.51.4"},"reference-count":67,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2015,11,18]],"date-time":"2015-11-18T00:00:00Z","timestamp":1447804800000},"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>Forest biochemical and biophysical variables and their spatial and temporal distribution are essential inputs to process-orientated ecosystem models. To provide this information, imaging spectroscopy appears to be a promising tool. In this context, the present study investigates the potential of spectral unmixing to derive sub-pixel crown component fractions in a temperate deciduous forest ecosystem. However, the high proportion of foliage in this complex vegetation structure leads to the problem of saturation effects, when applying broadband vegetation indices. This study illustrates that multiple endmember spectral mixture analysis (MESMA) can contribute to overcoming this challenge. Reference fractional abundances, as well as spectral measurements of the canopy components, could be precisely determined from a crane measurement platform situated in a deciduous forest in North-East Germany. In contrast to most other studies, which only use leaf and soil endmembers, this experimental setup allowed for the inclusion of a bark endmember for the unmixing of components within the canopy. This study demonstrates that the inclusion of additional endmembers markedly improves the accuracy. A mean absolute error of 7.9% could be achieved for the fractional occurrence of the leaf endmember and 5.9% for the bark endmember. In order to evaluate the results of this field-based study for airborne and satellite-based remote sensing applications, a transfer to Airborne Imaging Spectrometer for Applications (AISA) and simulated Environmental Mapping and Analysis Program (EnMAP) and Sentinel-2 imagery was carried out. All sensors were capable of unmixing crown components with a mean absolute error ranging between 3% and 21%.<\/jats:p>","DOI":"10.3390\/rs71115361","type":"journal-article","created":{"date-parts":[[2015,11,18]],"date-time":"2015-11-18T10:35:12Z","timestamp":1447842912000},"page":"15361-15387","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Spectral Unmixing of Forest Crown Components at Close Range, Airborne and Simulated Sentinel-2 and EnMAP Spectral Imaging Scale"],"prefix":"10.3390","volume":"7","author":[{"given":"Anne","family":"Clasen","sequence":"first","affiliation":[{"name":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Stra\u00dfe des 17. Juni 145, D-10623 Berlin, Germany"},{"name":"Helmholz Centre Potsdam-GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ben","family":"Somers","sequence":"additional","affiliation":[{"name":"Division of Forest, Nature and Landscape, Department of Earth and Environmental Sciences, KU Leuven, Celestijnenlaan 200E, BE-3001 Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyle","family":"Pipkins","sequence":"additional","affiliation":[{"name":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Stra\u00dfe des 17. Juni 145, D-10623 Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurent","family":"Tits","sequence":"additional","affiliation":[{"name":"Geomatics Lab, Department of Biosystems, KU Leuven, Willem de Croylaan 34, BE-3001 Leuven, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Segl","sequence":"additional","affiliation":[{"name":"Helmholz Centre Potsdam-GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Brell","sequence":"additional","affiliation":[{"name":"Helmholz Centre Potsdam-GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Birgit","family":"Kleinschmit","sequence":"additional","affiliation":[{"name":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Stra\u00dfe des 17. Juni 145, D-10623 Berlin, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2939-8764","authenticated-orcid":false,"given":"Daniel","family":"Spengler","sequence":"additional","affiliation":[{"name":"Helmholz Centre Potsdam-GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4490-7232","authenticated-orcid":false,"given":"Angela","family":"Lausch","sequence":"additional","affiliation":[{"name":"Department of Compuational Landscape Ecology, Helmholtz Centre for Environmental  Research-UFZ, Permoserstrasse 15, D-04318 Leipzig, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"F\u00f6rster","sequence":"additional","affiliation":[{"name":"Geoinformation in Environmental Planning Lab, Technische Universit\u00e4t Berlin, Stra\u00dfe des 17. 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NASA Special Publication 351, NASA."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1016\/S0034-4257(03)00039-7","article-title":"Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions","volume":"85","author":"Foody","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/0034-4257(95)00195-6","article-title":"Retrieving leaf area index of boreal conifer forests using Landsat TM images","volume":"55","author":"Chen","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2931","DOI":"10.1016\/j.rse.2010.08.029","article-title":"Estimation of tropical rain forest aboveground biomass with small-footprint LiDAR and hyperspectral sensors","volume":"115","author":"Clark","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.rse.2013.10.018","article-title":"Estimation of the seasonal leaf area index in an alluvial forest using high-resolution satellite-based vegetation indices","volume":"141","author":"Tillack","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3833","DOI":"10.1016\/j.rse.2008.06.006","article-title":"Development of a two-band enhanced vegetation index without a blue band","volume":"112","author":"Jiang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.rse.2004.10.006","article-title":"On the relationship of NDVI with leaf area index in a deciduous forest site","volume":"94","author":"Wang","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.rse.2004.12.016","article-title":"Remote sensing of forest biophysical variables using HyMap imaging spectrometer data","volume":"95","author":"Schlerf","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"4383","DOI":"10.1073\/pnas.0500823102","article-title":"Remote analysis of biological invasion and biogeochemical change","volume":"102","author":"Asner","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1016\/j.rse.2007.11.016","article-title":"Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR","volume":"112","author":"Asner","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/S0034-4257(98)00037-6","article-title":"Mapping chaparral in the Santa Monica Mountains using multiple endmember spectral mixture models","volume":"65","author":"Roberts","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1016\/j.rse.2010.12.012","article-title":"Mapping two Eucalyptus subgenera using multiple endmember spectral mixture analysis and continuum-removed imaging spectrometry data","volume":"115","author":"Youngentob","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.rse.2015.05.004","article-title":"A multi-temporal spectral library approach for mapping vegetation species across spatial and temporal phenological gradients","volume":"167","author":"Dudley","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.rse.2007.01.010","article-title":"Mapping tree and shrub leaf area indices in an ombrotrophic peatland through multiple endmember spectral unmixing","volume":"109","author":"Sonnentag","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_19","first-page":"270","article-title":"Spectral mixture analysis to monitor defoliation in mixed-aged Eucalyptus globulus Labill plantations in southern Australia using Landsat5-TM and EO-1Hyperion data","volume":"12","author":"Somers","year":"2010","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/0034-4257(93)90020-X","article-title":"Green vegetation, non-photosynthetic vegetation and soils in AVIRIS data","volume":"44","author":"Roberts","year":"1993","journal-title":"Remote Sens Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/S0034-4257(00)00126-7","article-title":"A biogeophysical approach for automated SWIR unmixing of soils and vegetation","volume":"74","author":"Asner","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/0034-4257(86)90055-6","article-title":"Separation of soil-plant spectral mixtures by factor analysis","volume":"19","author":"Huete","year":"1986","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0034-4257(90)90074-V","article-title":"Vegetation in deserts: I. A regional measure of abundance from multispectral images","volume":"31","author":"Smith","year":"1990","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1820","DOI":"10.3390\/rs4061820","article-title":"Species-level differences in hyperspectral metrics among tropical rainforest trees as determined by a tree-based classifier","volume":"4","author":"Clark","year":"2012","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/S0034-4257(98)00014-5","article-title":"Biophysical and biochemical sources of variability in canopy reflectance","volume":"64","author":"Asner","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_26","first-page":"363","article-title":"The utilization of GEOBIA for a hyperspectral mixture analysis of tree crown components","volume":"3","author":"Clasen","year":"2014","journal-title":"South-East. Eur. J. Earth Obs. Geomat."},{"key":"ref_27","unstructured":"Bohlman, S. (2008). Hyperspectral Remote Sensing of Tropical and Sub-Tropical Forests, CRC Press."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"7425","DOI":"10.3390\/rs70607425","article-title":"Estimating forest fAPAR from multispectral Landsat-8 data using the invertible forest reflectance model INFORM","volume":"7","author":"Yuan","year":"2015","journal-title":"Remote Sens."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/S0034-4257(00)00139-5","article-title":"Comparison of four radiative transfer models to simulate plant canopies reflectance: Direct and inverse mode","volume":"74","author":"Jacquemoud","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.rse.2015.08.016","article-title":"The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing","volume":"169","author":"Widlowski","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.jhydrol.2013.06.036","article-title":"Evaluation of forest interception estimation in the continental scale Australian Water Resources Assessment\u2014Landscape (AWRA-L) model","volume":"499","author":"Wallace","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/0168-1923(95)02291-0","article-title":"Optically-based methods for measuring seasonal variation of leaf area index in boreal conifer stands","volume":"80","author":"Chen","year":"1996","journal-title":"Agric. For. Meteorol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1127\/1432-8364\/2010\/0053","article-title":"A review of the combination of spectral and geometric modelling for the application in forest remote sensing","volume":"2010","author":"Spengler","year":"2010","journal-title":"Photogramm. Fernerkund. Geoinf."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/j.rse.2005.05.023","article-title":"Spectral mixture analyses of hyperspectral data acquired using a tethered balloon","volume":"103","author":"Chen","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1183","DOI":"10.1016\/j.rse.2009.02.003","article-title":"Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards","volume":"113","author":"Somers","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1080\/10739149.2010.508357","article-title":"A New, Automated, multiangular radiometer instrument for tower-based observations of canopy reflectance (AMSPEC II)","volume":"38","author":"Hilker","year":"2010","journal-title":"Instrum. Sci. Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1109\/36.312895","article-title":"Forest canopy closure from classification and spectral unmixing of scene components\u2014Multisensor evaluation of an open canopy","volume":"32","author":"Gong","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1490","DOI":"10.1016\/j.jaridenv.2008.02.012","article-title":"Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland","volume":"72","author":"Hufkens","year":"2008","journal-title":"J. Arid Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3383","DOI":"10.1080\/014311600750020000","article-title":"Developments in the \u201cvalidation\u201d of satellite sensor products for the study of the land surface","volume":"21","author":"Justice","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/0034-4257(87)90015-0","article-title":"The factor of scale in remote sensing","volume":"21","author":"Woodcock","year":"1987","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/0034-4257(95)00198-0","article-title":"Effects of standing litter on the biophysical interpretation of plant canopies with spectral indices","volume":"55","author":"Huete","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.rse.2007.01.013","article-title":"Characterization of pasture biophysical properties and the impact of grazing intensity using remotely sensed data","volume":"109","author":"Numata","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"023511:1","DOI":"10.1117\/1.2907748","article-title":"Estimates of bare ground and vegetation cover from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) short-wave-infrared reflectance imagery","volume":"2","author":"Gill","year":"2008","journal-title":"J. Appl. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.rse.2006.09.018","article-title":"Relative spectral mixture analysis\u2014A multitemporal index of total vegetation cover","volume":"106","author":"Okin","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1109\/TGRS.2003.820314","article-title":"A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data","volume":"42","author":"Plaza","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","first-page":"52","article-title":"Noise effect on linear spectral unmixing","volume":"5","author":"Gong","year":"1999","journal-title":"Geogr. Inf. Sci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1109\/TGRS.2003.812903","article-title":"Imaging spectroscopy for desertification studies: Comparing AVIRIS and EO-1 Hyperion in Argentina drylands","volume":"41","author":"Asner","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"955","DOI":"10.2136\/vzj2010.0139","article-title":"A network of terrestrial environmental observatories in Germany","volume":"10","author":"Zacharias","year":"2011","journal-title":"Vadose Zone J."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Plaza, J., and Plaza, A. (2010, January 22). Comparative analysis of training strategies for neural network-based spectral unmixing of laboratory-simulated forest hyperspectral scenes. Proceedings of the 2010 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), Istanbul, Turkey.","DOI":"10.1109\/PRRS.2010.5742802"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2951","DOI":"10.1080\/01431160802558659","article-title":"Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data","volume":"30","author":"Fan","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"8830","DOI":"10.3390\/rs70708830","article-title":"The EnMAP spaceborne imaging spectroscopy mission for earth observation","volume":"7","author":"Guanter","year":"2015","journal-title":"Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2011.11.026","article-title":"Sentinel-2: ESA\u2019s optical high-resolution mission for GMES operational services","volume":"120","author":"Drusch","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"522","DOI":"10.1109\/JSTARS.2012.2188994","article-title":"EeteS\u2014The EnMAP end-to-end simulation tool","volume":"5","author":"Segl","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"5560","DOI":"10.1109\/TGRS.2015.2424992","article-title":"S2eteS: An end-to-end modeling tool for the simulation of Sentinel-2 image products","volume":"53","author":"Segl","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3892","DOI":"10.1109\/TGRS.2012.2185055","article-title":"The fields of view and directional response functions of two field spectroradiometers","volume":"50","author":"MacArthur","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_56","unstructured":"Adams, J.B., Smith, M.O., and Gillespie, A.R. (1993). Imaging Spectroscopy: Interpretation Based on Spectral Mixture Analysis, Cambridge University Press."},{"key":"ref_57","unstructured":"Ball, J.E., Kari, S., and Younan, N.H. (2004, January 20\u201324). Hyperspectral pixel unmixing using singular value decomposition. Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium, Anchorage, AK, USA."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/j.rse.2004.07.013","article-title":"A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper","volume":"93","author":"Dennison","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3409","DOI":"10.1109\/TGRS.2011.2181853","article-title":"Multiple endmember unmixing of CHRIS\/Proba imagery for mapping impervious surfaces in urban and suburban environments","volume":"50","author":"Demarchi","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/S0304-3800(03)00274-6","article-title":"Plant parameter values for models in temperate climates","volume":"169","author":"Breuer","year":"2003","journal-title":"Ecol. Model."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/j.jhydrol.2012.08.043","article-title":"Estimated distributed rainfall interception using a simple conceptual model and Moderate Resolution Imaging Spectroradiometer (MODIS)","volume":"468","author":"Galdos","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_62","unstructured":"Markham, B.L., and Townshend, J.R.G. (1981, January 11\u201315). Land cover classification accuracy as a function of sensor spatial resolution. Proceedings of the International Symposium on Remote Sensing of Environment, Ann Arbor, MI, USA."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/0034-4257(94)90046-9","article-title":"Remote sensing and the measurement of geographical entities in a forested environment. 1. The scale and spatial aggregation problem","volume":"49","author":"Marceau","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_64","first-page":"55","article-title":"Analysis of spectral absorption features in hyperspectral imagery","volume":"5","year":"2004","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"5549","DOI":"10.1080\/01431160903311305","article-title":"An automated waveband selection technique for optimized hyperspectral mixture analysis","volume":"31","author":"Somers","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"779","DOI":"10.1109\/36.298007","article-title":"Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach","volume":"32","author":"Harsanyi","year":"1994","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/JSTARS.2012.2184268","article-title":"Vegetation structure retrieval in beech and spruce forests using spectrodirectional satellite data","volume":"5","author":"Schlerf","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/11\/15361\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:52:19Z","timestamp":1760215939000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/11\/15361"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,18]]},"references-count":67,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2015,11]]}},"alternative-id":["rs71115361"],"URL":"https:\/\/doi.org\/10.3390\/rs71115361","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,18]]}}}