{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T11:27:41Z","timestamp":1774438061767,"version":"3.50.1"},"reference-count":69,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2015,10,2]],"date-time":"2015-10-02T00:00:00Z","timestamp":1443744000000},"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>Quantifying the number and type of benthic classes that are able to be spectrally identified in shallow water remote sensing is important in understanding its potential for habitat mapping. Factors that impact the effectiveness of shallow water habitat mapping include water column turbidity, depth, sensor and environmental noise, spectral resolution of the sensor and spectral variability of the benthic classes. In this paper, we present a simple hierarchical clustering method coupled with a shallow water forward model to generate water-column specific spectral libraries. This technique requires no prior decision on the number of classes to output: the resultant classes are optically separable above the spectral noise introduced by the sensor, image based radiometric corrections, the benthos\u2019 natural spectral variability and the attenuating properties of a variable water column at depth. The modeling reveals the effect reducing the spectral resolution has on the number and type of classes that are optically distinct. We illustrate the potential of this clustering algorithm in an analysis of the conditions, including clustering accuracy, sensor spectral resolution and water column optical properties and depth that enabled the spectral distinction of the seagrass Amphibolis antartica from benthic algae.<\/jats:p>","DOI":"10.3390\/rs71013157","type":"journal-article","created":{"date-parts":[[2015,10,2]],"date-time":"2015-10-02T10:05:52Z","timestamp":1443780352000},"page":"13157-13189","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["A Method to Analyze the Potential of Optical Remote Sensing for Benthic Habitat Mapping"],"prefix":"10.3390","volume":"7","author":[{"given":"Rodrigo","family":"Garcia","sequence":"first","affiliation":[{"name":"Remote Sensing and Satellite Research Group, Department of Physics and Astronomy,  Curtin University, GPO Box U1987, Perth, WA 6845, Australia"},{"name":"School for the Environment, University of Massachusetts Boston, Boston, MA 02125, USA"}]},{"given":"John","family":"Hedley","sequence":"additional","affiliation":[{"name":"Environmental Computer Science Ltd., Raymond Penny House, Hammett Square, Tiverton,  Devon EX16 6LR, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5793-8241","authenticated-orcid":false,"given":"Hoang","family":"Tin","sequence":"additional","affiliation":[{"name":"Department of Environment and Agriculture, Curtin University, GPO Box U1987, Perth,  WA 6845, Australia"}]},{"given":"Peter","family":"Fearns","sequence":"additional","affiliation":[{"name":"Remote Sensing and Satellite Research Group, Department of Physics and Astronomy,  Curtin University, GPO Box U1987, Perth, WA 6845, Australia"}]}],"member":"1968","published-online":{"date-parts":[[2015,10,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.rse.2003.04.005","article-title":"Multi-site evaluation of IKONOS data for classification of tropical coral reef environments","volume":"88","author":"Andrefouet","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/S0006-3207(98)00108-6","article-title":"Development of a systematic classification scheme of marine habitats to facilitate regional management and mapping of Caribbean coral reefs","volume":"88","author":"Mumby","year":"1999","journal-title":"Biol. Conserv."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1007\/s002270050238","article-title":"Coral reef habitat mapping: How much detail can remote sensing provide","volume":"130","author":"Mumby","year":"1997","journal-title":"Mar. Biol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1080\/014311698216521","article-title":"Benefits of water column correction and contextual editing for mapping coral reefs","volume":"19","author":"Mumby","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1007\/s003380050096","article-title":"Digital analysis of multispectral airborne imagery of coral reefs","volume":"17","author":"Mumby","year":"1998","journal-title":"Coral Reefs"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s00338-004-0382-1","article-title":"The cover of living and dead corals from airborne remote sensing","volume":"23","author":"Mumby","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_7","first-page":"185","article-title":"Mapping bottom type and water depth in shallow coastal waters with satellite remote sensing","volume":"S50","author":"Vahtmae","year":"2007","journal-title":"J. Coast. Res."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/S0034-4257(02)00041-X","article-title":"Mapping marine environments with IKONOS imagery: Enhanced spatial resolution can deliver greater thematic accuracy","volume":"82","author":"Mumby","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"053559","DOI":"10.1117\/1.3653271","article-title":"Detecting patterns and changes in a complex benthic environment of the Baltic Sea","volume":"5","author":"Vahtmae","year":"2011","journal-title":"J. Appl. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1677","DOI":"10.1080\/01431160110047722","article-title":"High-resolution ground verification, cluster analysis and optical model of reef substrate coverage on Landsat TM imagery (Red Sea, Egypt)","volume":"23","author":"Purkis","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.rse.2005.02.017","article-title":"Retrospective seagrass change detection in a shallow coastal tidal Australian lake","volume":"97","author":"Dekker","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.ecss.2005.11.020","article-title":"Assessment of changes in the seagrass-dominated submerged vegetation of tropical Chwaka Bay (Zanzibar) using satellite remote sensing","volume":"67","author":"Gullstrom","year":"2006","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/s00338-003-0354-x","article-title":"Spectral unmixing of coral reef benthos under ideal conditions","volume":"23","author":"Hedley","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3576","DOI":"10.1364\/AO.44.003576","article-title":"Interpretation of hyperspectral remote-sensing imagery by spectrum matching and look-up-tables","volume":"44","author":"Mobley","year":"2005","journal-title":"Appl. Opt."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2527","DOI":"10.1016\/j.rse.2009.07.008","article-title":"Efficient radiative transfer model inversion for remote sensing applications","volume":"113","author":"Hedley","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3831","DOI":"10.1364\/AO.38.003831","article-title":"Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization","volume":"38","author":"Lee","year":"1999","journal-title":"Appl. Opt."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"011505","DOI":"10.1117\/1.2816113","article-title":"Retrieving key benthic cover types and bathymetry from hyperspectral imagery","volume":"1","author":"Klonowski","year":"2007","journal-title":"J. Appl. Remote Sens."},{"key":"ref_18","first-page":"2972","article-title":"A physics based retrieval and quality assessment of bathymetry from suboptimal hyperspectral data","volume":"49","author":"Brando","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1016\/j.csr.2011.04.005","article-title":"Shallow water substrate mapping using hyperspectral remote sensing","volume":"31","author":"Fearns","year":"2011","journal-title":"Cont. Shelf Res."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"396","DOI":"10.4319\/lom.2011.9.396","article-title":"Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments","volume":"9","author":"Dekker","year":"2011","journal-title":"Limnol. Oceanogr. Methods"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e70105","DOI":"10.1371\/journal.pone.0070105","article-title":"Ningaloo Reef: Shallow marine habitats mapped using a hyperspectral sensor","volume":"8","author":"Kobryn","year":"2013","journal-title":"PLoS ONE"},{"key":"ref_22","unstructured":"Harvey, M.J., Kobryn, H.T., Beckley, L.E., Heege, T., Hausknecht, P., and Pinnel, N. (2007, January 7\u20139). Mapping the shallow marine benthic habitats of Rottnest Island, Western Australia. Proceedings of the 3rd EARSeL Workshop Remote Sensing of the Coastal Zone, Bolzano, Italy. Available online: http:\/\/researchrepository.murdoch.edu.au\/6141\/1\/mapping_the_shallow_marine_benthic_habitats.pdf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1007\/s00338-003-0363-9","article-title":"Hyperspectral discrimination of coral reef benthic communities in the western Caribbean","volume":"23","author":"Karpouzli","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0034-4257(02)00202-X","article-title":"Capabilities of remote sensors to classify coral, algae, and sand as pure and mixed spectra","volume":"85","author":"Hochberg","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1109\/TGRS.2003.812907","article-title":"Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality","volume":"41","author":"Brando","year":"2003","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"271","DOI":"10.3390\/rs4010271","article-title":"Environmental and sensor limitations in optical remote sensing of Coral Reefs: Implications for monitoring and sensor design","volume":"4","author":"Hedley","year":"2012","journal-title":"Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1007\/s00338-003-0350-1","article-title":"Spectral reflectance of coral","volume":"23","author":"Hochberg","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.jembe.2007.06.014","article-title":"Variation in spectral reflectance of hermatypic corals, Stylophora pistillata and Pocillopora damicornis","volume":"351","author":"Stambler","year":"2007","journal-title":"J. Exp. Mar. Biol. Ecol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0034-4257(93)90013-N","article-title":"The spectral image processing system (SIPS)\u2014Interactive visualization and analysis of imaging spectrometer data","volume":"44","author":"Kruse","year":"1993","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.1109\/18.857802","article-title":"An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis","volume":"46","author":"Chang","year":"2000","journal-title":"IEEE Trans. Inform. Theory"},{"key":"ref_31","first-page":"1271","article-title":"Supervised and unsupervised spectral angle classifiers","volume":"68","author":"Sohn","year":"2002","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.ecss.2012.09.006","article-title":"Mapping and assessing seagrass along the western coast of Florida using Landsat TM and EO-1 ALI\/Hyperion imagery","volume":"115","author":"Pu","year":"2012","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_33","first-page":"1297","article-title":"Classifying and mapping general coral-reef structure using IKONOS data","volume":"68","author":"Maeder","year":"2002","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2627","DOI":"10.1080\/0143116031000066990","article-title":"Coral reef habitat discrimination using multivariate spectral analysis and satellite remote sensing","volume":"24","author":"Call","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1007\/s00338-002-0249-2","article-title":"Discrimination of coral reflectance spectra in the Red Sea","volume":"21","author":"Chisholm","year":"2002","journal-title":"Coral Reefs"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.ecss.2006.05.026","article-title":"On the possibility of mapping living corals to the species level based on their optical signatures","volume":"69","author":"Kutser","year":"2006","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1007\/s00338-003-0351-0","article-title":"Integrating in situ reef-top reflectance spectra with Landsat TM imagery to aid shallow-tropical benthic habitat mapping","volume":"23","author":"Purkis","year":"2004","journal-title":"Coral Reefs"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Rencher, A.C., and Christensen, W.F. (2012). Methods of Multivariate Analysis, John Wiley & Sons. [3rd ed.].","DOI":"10.1002\/9781118391686"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/S0034-4257(98)00029-7","article-title":"Spectral discrimination of healthy and non-healthy corals based on cluster analysis, principal component analysis, and derivative spectroscopy","volume":"65","author":"Holden","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_40","unstructured":"Anderberg, M.R. (1973). Cluster Analysis for Applications, Academic Press."},{"key":"ref_41","unstructured":"Hedley, J., Roelfsema, C., and Phinn, S.R. (October, January 25). Propagating uncertainty through a shallow water mapping algorithm based on radiative transfer model inversion. Proceedings of the Ocean Optics XX, Anchorage, AK, USA."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.rse.2011.06.028","article-title":"Capability of the Sentinel 2 mission for tropical coral reef mapping and coral bleaching detection","volume":"120","author":"Hedley","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"651","DOI":"10.4319\/lom.2014.12.651","article-title":"Improving the optimization solution for a semi-analytical shallow water inversion model in the presence of spectrally correlated noise","volume":"12","author":"Garcia","year":"2014","journal-title":"Limnol. Oceanogr. Methods"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.rse.2014.03.010","article-title":"Detecting trend and seasonal changes in bathymetry derived from HICO imagery: A case study of Shark Bay, Western Australia","volume":"147C","author":"Garcia","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Everitt, B.S., Landau, S., Leese, M., and Stahl, D. (2011). Cluster Analysis, John Wiley & Sons. [5th ed.].","DOI":"10.1002\/9780470977811"},{"key":"ref_46","first-page":"576","article-title":"Determining the number of clusters\/segments in hierarchical clustering\/segmentation algorithms","volume":"16","author":"Salvador","year":"2004","journal-title":"IEEE Inter. Conf. Tools Artif. Intell."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2578","DOI":"10.1016\/j.rse.2011.05.014","article-title":"Cluster analysis of hyperspectral optical data for discriminating phytoplankton pigment assemblages in the open ocean","volume":"115","author":"Torrecilla","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.rse.2012.12.021","article-title":"Increased spectral resolution enhances coral detection under varying water conditions","volume":"131","author":"Botha","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"688","DOI":"10.4319\/lo.1970.15.5.0688","article-title":"The Secchi disk in turbid coastal waters","volume":"15","author":"Holmes","year":"1970","journal-title":"Limnol. Oceanogr."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"464","DOI":"10.4319\/lo.2003.48.1_part_2.0464","article-title":"Spatial and temporal variation in spectral reflectance: Are seagrass species spectrally distinct?","volume":"48","author":"Fyfe","year":"2003","journal-title":"Limnol. Oceanogr."},{"key":"ref_51","unstructured":"Kruse, K.A., Broadman, J.W., Lefkoff, A.B., Young, J.M., and Kierein-Young, K.S. (2000, January 21\u201325). HyMap: An Australian hyperspectral sensor solving global problems\u2014Results from USA HyMap data acquisitions. Proceedings of the 10th Australasian Remote Sensing and Photogrammetry Conference, Adelaide, Australia."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2321","DOI":"10.1080\/01431160050029602","article-title":"Spectral discrimination of coral mortality states following a severe bleaching event","volume":"21","author":"Clark","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/s003380000087","article-title":"Spectral discrimination of coral reef benthic communities","volume":"19","author":"Hochberg","year":"2000","journal-title":"Coral Reefs"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.ecss.2013.08.026","article-title":"Challenges of remote sensing for quantifying changes in large complex seagrass environments","volume":"133","author":"Roelfsema","year":"2013","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Goodman, J.A., Purkis, S.J., and Phinn, S.R. (2013). Coral Reef Remote Sensing: A Guide for Mapping, Monitoring and Management, Springer.","DOI":"10.1007\/978-90-481-9292-2"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Sandau, R., Roser, H.P., and Valenzuela, A. (2010). Small Satellite Missions for Earth Observation: New Development and Trends, Springer.","DOI":"10.1007\/978-3-642-03501-2"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2577","DOI":"10.1109\/TGRS.2012.2218818","article-title":"Combined effect of reduced band number and increased bandwidth on shallow water remote sensing: The case of WorldView 2","volume":"51","author":"Lee","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"2107","DOI":"10.1080\/01431160500034086","article-title":"Simple and robust removal of sun glint for mapping shallow-water benthois","volume":"26","author":"Hedley","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1080\/03610927308827006","article-title":"Robustness of the linear and quadratic discriminant function to certain types of non-normality","volume":"1","author":"Lachenbruch","year":"1973","journal-title":"Commun. Stat."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., and Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference and Prediction, Springer. [2nd ed.]. Available online: http:\/\/web.stanford.edu\/~hastie\/local.ftp\/Springer\/OLD\/ESLII_print4.pdf.","DOI":"10.1007\/978-0-387-84858-7"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"5047","DOI":"10.1080\/01431160701258062","article-title":"Mapping the distribution of coral reefs and associated sublittoral habitats in Pacific Panama: A comparison of optical satellite sensors and classification methodologies","volume":"28","author":"Benfield","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"011501","DOI":"10.1117\/1.2815907","article-title":"Classification of benthic composition in a coral reef environment using spectral unmixing","volume":"1","author":"Goodman","year":"2007","journal-title":"J. Appl. Remote Sens."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"11639","DOI":"10.1029\/2000JC000554","article-title":"Properties of the water column and bottom derived from Airborne Visible Infrared Imaging Spectroradiometer (AVIRIS) data","volume":"106","author":"Lee","year":"2001","journal-title":"J. Geophys. Res."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Lewis, D., Gould, R.W., Weidemann, A., Ladner, S., and Lee, Z.P. (2013). Bathymetry estimations using vicariousy calibrated HICO data. Proc. SPIE.","DOI":"10.1117\/12.2017864"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1080\/01431169008955008","article-title":"A fast atmospheric correction algorithm applied to Landsat TM images","volume":"11","author":"Richter","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_66","first-page":"1083","article-title":"Assessing the quality of the radiometric calibration of casi data and retrieval of surface reflectance factors","volume":"66","author":"Jacobsen","year":"2000","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"6152","DOI":"10.3390\/s150306152","article-title":"Expected improvements in the quantitative remote sensing of optically complex waters with the use of an optically fast hyperspectral spectrometer\u2014A modeling study","volume":"15","author":"Moses","year":"2015","journal-title":"Sensors"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","article-title":"Objective criteria for the evaluation of clustering methods","volume":"66","author":"Rand","year":"1971","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"33","DOI":"10.2307\/1217208","article-title":"The comparison of dendrograms by objective methods","volume":"11","author":"Sokal","year":"1962","journal-title":"Taxon"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/10\/13157\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:49:40Z","timestamp":1760215780000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/10\/13157"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,10,2]]},"references-count":69,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2015,10]]}},"alternative-id":["rs71013157"],"URL":"https:\/\/doi.org\/10.3390\/rs71013157","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,10,2]]}}}