{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T11:33:16Z","timestamp":1784547196422,"version":"3.55.0"},"reference-count":75,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2014,7,15]],"date-time":"2014-07-15T00:00:00Z","timestamp":1405382400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Crop mapping in West Africa is challenging, due to the unavailability of adequate satellite images (as a result of excessive cloud cover), small agricultural fields and a heterogeneous landscape. To address this challenge, we integrated high spatial resolution multi-temporal optical (RapidEye) and dual polarized (VV\/VH) SAR (TerraSAR-X) data to map crops and crop groups in northwestern Benin using the random forest classification algorithm. The overall goal was to ascertain the contribution of the SAR data to crop mapping in the region. A per-pixel classification result was overlaid with vector field boundaries derived from image segmentation, and a crop type was determined for each field based on the modal class within the field. A per-field accuracy assessment was conducted by comparing the final classification result with reference data derived from a field campaign. Results indicate that the integration of RapidEye and TerraSAR-X data improved classification accuracy by 10%\u201315% over the use of RapidEye only. The VV polarization was found to better discriminate crop types than the VH polarization. The research has shown that if optical and SAR data are available for the whole cropping season, classification accuracies of up to 75% are achievable.<\/jats:p>","DOI":"10.3390\/rs6076472","type":"journal-article","created":{"date-parts":[[2014,7,15]],"date-time":"2014-07-15T11:12:35Z","timestamp":1405422755000},"page":"6472-6499","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":161,"title":["Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa"],"prefix":"10.3390","volume":"6","author":[{"given":"Gerald","family":"Forkuor","sequence":"first","affiliation":[{"name":"Department of Remote Sensing, University of Wurezburg, Oswald-K\u00fclpe-Weg 86, 97074 Wuerzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0807-7059","authenticated-orcid":false,"given":"Christopher","family":"Conrad","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing, University of Wurezburg, Oswald-K\u00fclpe-Weg 86, 97074 Wuerzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Thiel","sequence":"additional","affiliation":[{"name":"Department of Remote Sensing, University of Wurezburg, Oswald-K\u00fclpe-Weg 86, 97074 Wuerzburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6626-3052","authenticated-orcid":false,"given":"Tobias","family":"Ullmann","sequence":"additional","affiliation":[{"name":"Institute for Geography and Geology, University of Wuerzburg, 97074 Am Hubland, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evence","family":"Zoungrana","sequence":"additional","affiliation":[{"name":"Competency Center, West African Science Service Center on Climate Change and Adapted Land Use, Ouagadougou BP 9507, Burkina Faso"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2014,7,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3465","DOI":"10.1073\/pnas.1100480108","article-title":"Global land use change, economic globalization, and the looming land scarcity","volume":"108","author":"Lambin","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Lambin, E.F., and Geist, H. (2006). Land Use and Land-Cover Change: Local Processes and Global Impacts, Springer-Verlag.","DOI":"10.1007\/3-540-32202-7"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1890\/1540-9295(2004)002[0249:LCBHNA]2.0.CO;2","article-title":"Land use choices: Balancing human needs and ecosystem function","volume":"2","author":"DeFries","year":"2001","journal-title":"Front Ecol. Environ"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1126\/science.1111772","article-title":"Global consequences of land use","volume":"309","author":"Foley","year":"2005","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"3813","DOI":"10.1080\/01431160500166391","article-title":"Sequential masking classification of multi-temporal Landsat7 ETM+ images for field-based crop mapping in Karacabey, Turkey","volume":"26","author":"Turker","year":"2005","journal-title":"Int. J. Remote Sens"},{"key":"ref_6","unstructured":"Fisette, T., Maloley, M., Chenier, R., White, L., Huffman, T., Ogston, R., Pacheco, A., and Gasser, P.Y. (2005, January 14\u201316). Towards a national agricultural land cover classification-evaluating decision tree approach. Wolfville, NS, Canada."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1035","DOI":"10.3390\/rs2041035","article-title":"Per-field irrigated crop classification in arid central Asia using SPOT and ASTER data","volume":"2","author":"Conrad","year":"2010","journal-title":"Remote Sens"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4091","DOI":"10.1080\/01431160310001619580","article-title":"Efficiency and accuracy of per-field classification for operational crop mapping","volume":"25","author":"Clevers","year":"2004","journal-title":"Int. J. Remote Sens"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.compag.2012.07.015","article-title":"Crop type mapping using spectral-temporal profiles and phenological information","volume":"89","author":"Kaden","year":"2012","journal-title":"Comput. Electron. Agric"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.compag.2014.02.003","article-title":"Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images","volume":"103","author":"Conrad","year":"2014","journal-title":"Comput. Electron. Agric"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.isprsjprs.2013.08.007","article-title":"Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using support vector machines","volume":"85","author":"Michel","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_12","unstructured":"Forkuor, G., Conrad, C., Thiel, M., and Landmann, T. (2014). Possibilities of using multi-temporal RapidEye data to map crops and crop groups in West Africa. Environ. Monit. Assess, under review."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.rse.2005.03.010","article-title":"Efficiency of crop identification based on optical and SAR image time series","volume":"96","author":"Blaes","year":"2005","journal-title":"Remote Sens. Environ"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1080\/01431160110070753","article-title":"Providing crop information using RADARSAT-1 and satellite optical imagery","volume":"23","author":"McNairn","year":"2002","journal-title":"Int. J. Remote Sens"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1080\/01431160903505302","article-title":"Dynamics of land-use and land-cover change in Freetown, Sierra Leone and its effects on urban and peri-urban agriculture\u2014A remote sensing approach","volume":"32","author":"Forkuor","year":"2011","journal-title":"Int. J. Remote Sens"},{"key":"ref_16","first-page":"s11","article-title":"Patterns and dynamics of land-cover changes since the 1960s over three experimental areas in Mali","volume":"12","author":"Ruelland","year":"2010","journal-title":"Int. J. Appl. Earth Observ. Geoinf"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/j.jaridenv.2004.03.018","article-title":"Ecoregions and land cover trends in Senegal","volume":"59","author":"Tappan","year":"2004","journal-title":"J. Arid Environ"},{"key":"ref_18","first-page":"839","article-title":"Evaluation of SAR-optical imagery synthesis techniques in a complex coastal ecosystem","volume":"68","author":"Henderson","year":"2002","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_19","first-page":"412","article-title":"First results of rice monitoring practices in Spain by means of time series of TerraSAR-X dual-pol images","volume":"4","author":"Hajnsek","year":"2010","journal-title":"IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"8899","DOI":"10.3390\/s101008899","article-title":"Multitemporal observations of sugarcane by TerraSAR-X images","volume":"10","author":"Baghdadi","year":"2010","journal-title":"Sensors"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1308","DOI":"10.3390\/rs3071308","article-title":"Towards detecting swath events in TerraSAR-X time series to establish NATURA 2000 grassland habitat swath management as monitoring parameter","volume":"3","author":"Schuster","year":"2011","journal-title":"Remote Sens"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2747\/1548-1603.44.4.305","article-title":"A comparison of land use\/cover mapping with varied radar incident angles and seasons","volume":"44","author":"Haack","year":"2007","journal-title":"GISci. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.isprsjprs.2008.07.006","article-title":"Integration of optical and synthetic aperture radar (SAR) imagery for delivering operational annual crop inventories","volume":"64","author":"McNairn","year":"2009","journal-title":"ISPRS J. Photogramm. Remote Sens"},{"key":"ref_24","unstructured":"Ho, P.G.P (2009). Geoscience and Remote Sensing, Intech."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"859","DOI":"10.3390\/rs3050859","article-title":"Multi-temporal land-cover classification of agricultural areas in two european regions with high resolution spotlight TerraSAR-X data","volume":"3","author":"Bargiel","year":"2011","journal-title":"Remote Sens"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1080\/01431169008955083","article-title":"Physics concepts of optical and radar reflectance signatures","volume":"11","author":"Gerstl","year":"1990","journal-title":"Int. J. Remote Sens"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"45","DOI":"10.5589\/m11-026","article-title":"Crop-type identification potential of Radarsat-2 and MODIS images for the Canadian prairies","volume":"37","author":"Hong","year":"2011","journal-title":"Can. J. Remote Sens"},{"key":"ref_28","first-page":"461","article-title":"Active microwave responses: An aid in improved crop classification","volume":"50","author":"Rosenthal","year":"1984","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_29","first-page":"44","article-title":"Early season crop discrimination with combined SAR and TM data","volume":"15","author":"Brisco","year":"1989","journal-title":"Can. J. Remote Sens"},{"key":"ref_30","first-page":"1009","article-title":"Multidate SAR\/TM synergism for crop classification in western Canada","volume":"61","author":"Brisco","year":"1995","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2001","DOI":"10.1080\/014311698215117","article-title":"Aspect and incident angle sensitivity in ERS-1 SAR data","volume":"19","author":"Gauthier","year":"1998","journal-title":"Int. J. Remote Sens"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"518","DOI":"10.5589\/m03-014","article-title":"Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops","volume":"29","author":"Ban","year":"2003","journal-title":"Can. J. Remote Sens"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1080\/15481603.2013.778555","article-title":"Classification of California agriculture using quad polarization radar data and Landsat Thematic Mapper data","volume":"50","author":"Sheoran","year":"2013","journal-title":"GISci. Remote Sens"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Jedlovec, G (2009). Advances in Geosciences and Remote Sensing, Intech.","DOI":"10.5772\/955"},{"key":"ref_35","first-page":"7","article-title":"Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa","volume":"21","author":"Laurin","year":"2012","journal-title":"Int. J. Appl. Earth Observ. Geoinf"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1016\/j.jaridenv.2010.03.012","article-title":"Standardized FAO-LCCS land cover mapping in heterogeneous tree savannas of West Africa","volume":"74","author":"Cord","year":"2010","journal-title":"J. Arid Environ"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2443","DOI":"10.1080\/014311699212119","article-title":"Crop discrimination using multi-temporal SAR imagery","volume":"20","author":"Tso","year":"1999","journal-title":"Int. J. Remote Sens"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"141","DOI":"10.14358\/PERS.70.1.141","article-title":"Predicting missing field boundaries to increase per-field classification accuracy","volume":"70","author":"Aplin","year":"2004","journal-title":"Photogramm. Eng. Remote Sens"},{"key":"ref_39","unstructured":"Aregheore, E.M. (2009). Country Pasture\/Forage Resource Profiles: The Republic of Benin, Food and Agriculture Organization (FAO). Chapter 3."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"375","DOI":"10.3390\/su6010375","article-title":"Migration, social demands and environmental change amongst the Frafra of northern Ghana and the Biali in northern Benin","volume":"6","author":"Sow","year":"2014","journal-title":"Sustainability"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1659\/mrd.00028","article-title":"The effects of Topographic factors on aboveground biomass production of grasslands in the Atacora Mountains in northwestern Benin","volume":"29","author":"Avohou","year":"2009","journal-title":"Mount. Res. Dev"},{"key":"ref_42","unstructured":"(2004). Cashier des villages et quartiers de ville D\u00e9partment de l\u2019ATACORA, Direction des Etudes D\u00e9mographiques."},{"key":"ref_43","unstructured":"Graef, F., Lawrence, P., and von Oppen, M (2007). Adapted Farming in West Africa: Issues, Potentials and Perspectives, Verlag Ulrich E. Grauer."},{"key":"ref_44","unstructured":"Richter, R., and Schl\u00e4pfer, D. (2012). Atmospheric\/Topographic Correction for Satellite Imagery: ATCOR-2\/3 User Guide, Version 8.2.1, ReSe Applications Schl\u00e4pfer."},{"key":"ref_45","unstructured":"Berk, A., Anderson, G.P., Acharya, P.K., and Shettle, E.P. (2008). MODTRAN 5.2.0.0 User\u2019s Manual, Spectral Sciences, Inc."},{"key":"ref_46","unstructured":"Boerner, W.M. (2004, January 14\u201315). Basics of SAR polarimetry I. Radar polarimetry and interferometry. Brussels, Belgium. Washington, DC, USA, 18\u201319 October 2004\/Ottawa, ON, Canada, 21\u201322 October 2004."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"19","DOI":"10.7716\/aem.v1i1.12","article-title":"Investigation of the capability of the compact polarimetry mode to reconstruct full polarimetry mode using RADARSAT2 data","volume":"1","author":"Souissi","year":"2012","journal-title":"Adv. Electromagnet"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1109\/36.297977","article-title":"Mueller and Kennaugh matrices in radar polarimetry","volume":"32","author":"Guissard","year":"1994","journal-title":"IEEE Geoscie. Remote Sens"},{"key":"ref_49","unstructured":"Schmitt, A., Hogg, A., Roth, A., and Duffe, J. (2012, January 23\u201326). Shoreline classification using dual-polarized TerraSAR-X images. Nuremburg, Germany."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Cloude, S.R. (2009). Polarisation\u2014Applications in Remote Sensing, Oxford University Press.","DOI":"10.1093\/acprof:oso\/9780199569731.001.0001"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Engdahl, M., Minchella, A., Marinkovic, P., Veci, L., and Lu, J. (2012, January 22\u201327). NEST: An esa open source toolbox for scientific exploitation of SAR data. Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6352406"},{"key":"ref_52","unstructured":"Available online: file:\/\/\/C:\/Users\/WASCAL\/Downloads\/TX-GS-DD-3302_Basic-Products-Specification-Document_V1.6%20(1).pdf."},{"key":"ref_53","unstructured":"Available online: file:\/\/\/C:\/Users\/WASCAL\/Downloads\/TSXX-ITD-TN-0049-radiometric_calculations_I1.00.pdf."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1137\/040616024","article-title":"A review of image denoising algorithms, with a new one","volume":"4","author":"Buades","year":"2005","journal-title":"Multisc. Model. Simul"},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Deledalle, C.A., Tupin, F., and Denis, L. (2010, January 25\u201330). Polarimetric SAR estimation based on non-local means. Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5653936"},{"key":"ref_56","unstructured":"Ullmann, T., Schmitt, A., Roth, A., Banks, S., Baumhauer, R., and Dech, S. (2013, January 10\u201311). Classification of coastal arctic land cover by means of TerraSAR-X dual co-polarized data (HH\/VV). Munich, Germany."},{"key":"ref_57","unstructured":"Wang, X., Gi, L., and Li, X. (September, January 25). Evaluation of filters for ENVISAT ASAR speckle suppression in pasture area. Melbourne, VIC, Australia."},{"key":"ref_58","first-page":"276","article-title":"Identification of cropping activity in central and southern Queensland, Australia, with the aid of MODIS MOD13Q1 imagery","volume":"19","author":"Pringle","year":"2012","journal-title":"Int. J. Appl. Earth Observ. Geoinf"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn"},{"key":"ref_60","first-page":"18","article-title":"Classification and regression by random Forest","volume":"2","author":"Liaw","year":"2002","journal-title":"R. News"},{"key":"ref_61","unstructured":"(2013). R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.patrec.2005.08.011","article-title":"Random forests for land cover classification","volume":"27","author":"Gislason","year":"2006","journal-title":"Patt. Recogn. Lett"},{"key":"ref_63","first-page":"579","article-title":"Merging random forest classification with an object-oriented approach for analysis of agricultural lands","volume":"37","author":"Watts","year":"2008","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1016\/j.rse.2007.07.019","article-title":"Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains","volume":"112","author":"Wardlow","year":"2008","journal-title":"Remote Sens. Environ"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Bationo, A., Waswa, B., Okeyo, J.M., Maina, F., and Mokwunye, U. (2011). Fighting Poverty in Sub-Saharan Africa: The Multiple Roles of Legumes in Integrated Soil Fertility Management, Springer.","DOI":"10.1007\/978-94-007-1536-3"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Congalton, R.G., and Green, K. (2009). Assessing the Accuracy of Remotely Sensed Data. Principles and Practices, CRC Press. [2nd ed].","DOI":"10.1201\/9781420055139"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/0167-8809(90)90214-X","article-title":"Changes in West African savanna agriculture in response to growing population and continuing low rainfall","volume":"31","author":"Vierich","year":"1990","journal-title":"Agric. Ecosyst. Environ"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"8763","DOI":"10.1080\/01431161.2010.550647","article-title":"Temporal segmentation of MODIS time series for improving crop classification in Central Asian irrigation systems","volume":"32","author":"Conrad","year":"2011","journal-title":"Int. J. Remote Sens"},{"key":"ref_69","unstructured":"(2011). eCognition Developer 8.7, Trimble Germany GmbH."},{"key":"ref_70","unstructured":"Van Rijsbergen, C.J. (1979). Information Retrieval, Butterworths. [2nd ed.]."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"5583","DOI":"10.1080\/01431161.2012.666812","article-title":"Testing the red edge channel for improving land-use classifications based on high resolution multi-spectral satellite data","volume":"33","author":"Schuster","year":"2012","journal-title":"Int. J. Remote Sens"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.compag.2004.06.003","article-title":"Determining temporal windows for crop discrimination with remote sensing: A case study in South-East Australia","volume":"45","author":"McVicar","year":"2004","journal-title":"Comput. Electron. Agric"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1016\/j.patrec.2010.03.014","article-title":"Variable selection using random forests","volume":"31","author":"Genuer","year":"2010","journal-title":"Patt. Recogn. Lett"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1801","DOI":"10.1016\/j.rse.2011.02.021","article-title":"Analysis of TerraSAR-X data sensitivity to bare soil moisture, roughness, composition and soil crust","volume":"115","author":"Aubert","year":"2011","journal-title":"Remote Sensi. Environ"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1109\/36.917914","article-title":"The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops","volume":"39","author":"Macelloni","year":"2001","journal-title":"Geosci. Remote Sens"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/7\/6472\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:13:37Z","timestamp":1760217217000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/7\/6472"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,7,15]]},"references-count":75,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2014,7]]}},"alternative-id":["rs6076472"],"URL":"https:\/\/doi.org\/10.3390\/rs6076472","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,7,15]]}}}