{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:43:04Z","timestamp":1760211784449,"version":"build-2065373602"},"reference-count":64,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2016,8,6]],"date-time":"2016-08-06T00:00:00Z","timestamp":1470441600000},"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>Remotely sensed imagery is an attractive source of information for mapping and monitoring land cover. Fine spatial resolution imagery is typically acquired infrequently, but fine temporal resolution systems commonly provide coarse spatial resolution imagery. Sub-pixel land cover change mapping is a method that aims to use the advantages of these multiple spatial and temporal resolution sensing systems. This method produces fine spatial and temporal resolution land cover maps, by updating fine spatial resolution land cover maps using coarse spatial resolution remote sensing imagery. A critical issue for sub-pixel land cover change mapping is downscaling coarse spatial resolution fraction maps estimated by soft classification to a fine spatial resolution land cover map. The relationship between a historic fine spatial resolution map and a contemporary fine spatial resolution map to be estimated at a more recent date plays an important role in the downscaling procedure. A change strategy based on the assumption that the change for each land cover class in a coarse spatial resolution pixel is unidirectional was shown to be a promising means to describe this relationship. This paper aims to assess this change strategy by analyzing the factors that affect the accuracy of the change strategy, using six subsets of the National Land Cover Database (NLCD) of USA. The results show that the spatial resolution of coarse pixels, the time interval of the previous fine resolution land cover map and the current coarse spatial resolution images, and the thematic resolution of the used land cover class scheme have considerable influence on the accuracy of the change strategy. The accuracy of the change strategy decreases with the coarsening of spatial resolution, an increase of time interval, and an increase of thematic resolution. The results also indicate that, when the historic land cover map has a 30 m resolution, like the NLCD, the average accuracy of the change strategy is still as high as 92% when the coarse spatial resolution data used had a resolution of ~1000 m, confirming the effectiveness of the change strategy used in sub-pixel land cover change mapping for use with popular remote sensing systems.<\/jats:p>","DOI":"10.3390\/rs8080642","type":"journal-article","created":{"date-parts":[[2016,8,8]],"date-time":"2016-08-08T10:14:38Z","timestamp":1470651278000},"page":"642","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Assessing a Temporal Change Strategy for Sub-Pixel Land Cover Change Mapping from Multi-Scale Remote Sensing Imagery"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0685-4897","authenticated-orcid":false,"given":"Feng","family":"Ling","sequence":"first","affiliation":[{"name":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China"},{"name":"School of Geography, University of Nottingham, University Park, Nottingham NG7 2RD, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6464-3054","authenticated-orcid":false,"given":"Giles","family":"Foody","sequence":"additional","affiliation":[{"name":"School of Geography, University of Nottingham, University Park, Nottingham NG7 2RD, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8285-8446","authenticated-orcid":false,"given":"Xiaodong","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China"}]},{"given":"Yihang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China"}]},{"given":"Yun","family":"Du","sequence":"additional","affiliation":[{"name":"Key Laboratory of Monitoring and Estimate for Environment and Disaster of Hubei Province, Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan 430077, China"}]}],"member":"1968","published-online":{"date-parts":[[2016,8,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1016\/j.rse.2006.01.020","article-title":"Exploiting synergies of global land cover products for carbon cycle modeling","volume":"101","author":"Jung","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.gloenvcha.2003.10.005","article-title":"Modelling the impact of future changes in climate, CO2 concentration and land use on natural ecosystems and the terrestrial carbon sink","volume":"14","author":"Levy","year":"2004","journal-title":"Glob. Environ. Chang. Hum Policy Dimens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.jenvman.2004.04.004","article-title":"Modelling land use change and environmental impact","volume":"72","author":"Veldkamp","year":"2004","journal-title":"J. Environ. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Richards, J.A., and Jia, X. (2006). Remote Sensing Digital Image Analysis: An Introduction, Springer Verlag.","DOI":"10.1007\/3-540-29711-1"},{"key":"ref_5","unstructured":"Bonnett, R., and Campbell, J.B. (2002). Introduction to Remote Sensing, Taylor & Francis. [3th ed.]."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.rse.2011.08.024","article-title":"A review of large area monitoring of land cover change using Landsat data","volume":"122","author":"Hansen","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2693","DOI":"10.1080\/01431161.2014.883092","article-title":"Assessing the quality of temporal high-resolution classifications with low-resolution satellite image time series","volume":"35","author":"Petitjean","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1080\/014311697219015","article-title":"The pixel: A snare and a delusion","volume":"18","author":"Fisher","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1080\/014311698214848","article-title":"Synergy in remote sensing\u2014What\u2019s in a pixel?","volume":"19","author":"Cracknell","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1080\/01431160600746456","article-title":"A survey of image classification methods and techniques for improving classification performance","volume":"28","author":"Lu","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0034-4257(01)00295-4","article-title":"Status of land cover classification accuracy assessment","volume":"80","author":"Foody","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1109\/36.46698","article-title":"Fuzzy supervised classification of remote sensing images","volume":"28","author":"Wang","year":"1990","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1080\/01431169408954100","article-title":"Sub-pixel land cover composition estimation using a linear mixture model and fuzzy membership functions","volume":"15","author":"Foody","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"5307","DOI":"10.1080\/01431161.2012.661095","article-title":"Spectral unmixing","volume":"33","author":"Quintano","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1943","DOI":"10.2307\/1941447","article-title":"The problem of pattern and scale in ecology","volume":"73","author":"Levin","year":"1992","journal-title":"Ecology"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1146\/annurev.ecolsys.34.011802.132419","article-title":"Effects of habitat fragmentation on biodiversity","volume":"34","author":"Fahrig","year":"2003","journal-title":"Annu. Rev. Ecol. Evol. Syst."},{"key":"ref_17","unstructured":"Atkinson, P.M. (1997). Innovations in GIS 4, Taylor and Francis."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"360","DOI":"10.3390\/rs8050360","article-title":"Designing an Experiment to Investigate Subpixel Mapping as an Alternative Method to Obtain Land Use\/Land Cover Maps","volume":"8","author":"Ge","year":"2016","journal-title":"Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1109\/36.917895","article-title":"Super-resolution target identification from remotely sensed images using a Hopfield neural network","volume":"39","author":"Tatem","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1418","DOI":"10.1109\/JSTARS.2012.2191145","article-title":"Impact of land cover patch size on the accuracy of patch area representation in HNN-based super resolution mapping","volume":"5","author":"Muad","year":"2012","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"5023","DOI":"10.1080\/01431160903252350","article-title":"Super-resolution land-cover mapping using multiple sub-pixel shifted remotely sensed images","volume":"31","author":"Ling","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"839","DOI":"10.14358\/PERS.71.7.839","article-title":"Sub-pixel target mapping from soft-classified remotely sensed imagery","volume":"71","author":"Atkinson","year":"2005","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.rse.2005.02.006","article-title":"Super-resolution land cover mapping using a Markov random field based approach","volume":"96","author":"Kasetkasem","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3293","DOI":"10.1080\/01431160500497127","article-title":"A sub-pixel mapping algorithm based on sub-pixel\/pixel spatial attraction models","volume":"27","author":"Mertens","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2155","DOI":"10.1109\/TGRS.2008.2010863","article-title":"Development and testing of a subpixel mapping algorithm","volume":"47","author":"Ge","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1080\/01431161.2012.705441","article-title":"Sub-pixel mapping of remotely sensed imagery with hybrid intra- and inter-pixel dependence","volume":"34","author":"Ling","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2799","DOI":"10.1109\/TGRS.2012.2218612","article-title":"Attraction-repulsion model-based subpixel mapping of multi-\/hyperspectral imagery","volume":"51","author":"Tong","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.neucom.2012.12.078","article-title":"A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images","volume":"134","author":"Xu","year":"2014","journal-title":"Neurocomputing"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1756","DOI":"10.1080\/01431161.2014.882034","article-title":"Vectorial boundary-based sub-pixel mapping method for remote-sensing imagery","volume":"35","author":"Ge","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2356","DOI":"10.1109\/TGRS.2015.2499790","article-title":"Enhanced Subpixel Mapping With Spatial Distribution Patterns of Geographical Objects","volume":"54","author":"Ge","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6480","DOI":"10.1080\/01431161.2012.690541","article-title":"Particle swarm optimization-based sub-pixel mapping for remote-sensing imagery","volume":"33","author":"Wang","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1306","DOI":"10.1109\/TSMCB.2012.2189561","article-title":"Remote sensing image subpixel mapping based on adaptive differential evolution","volume":"42","author":"Zhong","year":"2012","journal-title":"IEEE Trans. Syst. Man Cybern. Part B Cybern."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1109\/TGRS.2013.2244095","article-title":"Adaptive subpixel mapping based on a multiagent system for remote-sensing imagery","volume":"52","author":"Xu","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4424","DOI":"10.1109\/TGRS.2013.2281992","article-title":"Superresolution Land Cover Mapping Using Spatial Regularization","volume":"52","author":"Ling","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2031","DOI":"10.1109\/JSTARS.2015.2399509","article-title":"Super-resolution land cover mapping based on multiscale spatial regularization","volume":"8","author":"Hu","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"250","DOI":"10.3390\/rs8030250","article-title":"Nonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery","volume":"8","author":"Feng","year":"2016","journal-title":"Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1109\/TGRS.2014.2340734","article-title":"An adaptive subpixel mapping method based on MAP model and class determination strategy for hyperspectral remote sensing imagery","volume":"53","author":"Zhong","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1016\/j.isprsjprs.2011.08.002","article-title":"Markov-random-field-based super-resolution mapping for identification of urban trees in VHR images","volume":"66","author":"Ardila","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_39","first-page":"79","article-title":"Super-resolution mapping of lakes from imagery with a coarse spatial and fine temporal resolution","volume":"15","author":"Muad","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1963","DOI":"10.1109\/LGRS.2015.2441135","article-title":"Burned-Area Mapping at the Subpixel Scale With MODIS Images","volume":"12","author":"Ling","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_41","first-page":"897","article-title":"The role of soft classification techniques in the refinement of estimates of ground control point location","volume":"68","author":"Foody","year":"2002","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1016\/j.ecolind.2010.12.016","article-title":"Using a sub-pixel mapping model to improve the accuracy of landscape pattern indices","volume":"11","author":"Li","year":"2011","journal-title":"Ecol. Indic."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.agee.2005.11.024","article-title":"Downscaling of land use change scenarios to assess the dynamics of European landscapes","volume":"114","author":"Verburg","year":"2006","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1002\/wcc.50","article-title":"Downscaling socioeconomic and emissions scenarios for global environmental change research: A review","volume":"1","author":"Smith","year":"2010","journal-title":"Wiley Interdiscip. Rev. Clim. Chang."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1007\/s00267-002-2630-x","article-title":"Modeling the spatial dynamics of regional land use: The CLUE-S model","volume":"30","author":"Verburg","year":"2002","journal-title":"Environ. Manag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1109\/LGRS.2010.2055034","article-title":"Land cover change mapping at the subpixel scale with different spatial-resolution remotely sensed imagery","volume":"8","author":"Ling","year":"2011","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.1109\/JSTARS.2014.2320256","article-title":"Super-Resolution Land Cover Mapping with Spatial-Temporal Dependence by Integrating a Former Fine Resolution Map","volume":"7","author":"Ling","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/JSTARS.2013.2264828","article-title":"Super-Resolution Mapping of Forests With Bitemporal Different Spatial Resolution Images Based on the Spatial-Temporal Markov Random Field","volume":"7","author":"Li","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.isprsjprs.2014.03.013","article-title":"A spatial\u2013temporal Hopfield neural network approach for super-resolution land cover mapping with multi-temporal different resolution remotely sensed images","volume":"93","author":"Li","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1109\/LGRS.2013.2268153","article-title":"A Spatio-Temporal Pixel-Swapping Algorithm for Subpixel Land Cover Mapping","volume":"11","author":"Xu","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Wu, K., Yi, W., Niu, R.Q., and Wei, L.F. (2015). Subpixel land cover change mapping with multitemporal remote-sensed images at different resolution. J. Appl. Remote Sens., 9.","DOI":"10.1117\/1.JRS.9.097299"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1109\/JSTARS.2014.2355832","article-title":"Land Cover Change Detection at Subpixel Resolution with a Hopfield Neural Network","volume":"8","author":"Wang","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1692","DOI":"10.1109\/TGRS.2014.2346535","article-title":"Fast Subpixel Mapping Algorithms for Subpixel Resolution Change Detection","volume":"53","author":"Wang","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"59","DOI":"10.14358\/PERS.81.1.59","article-title":"Sub-pixel-scale Land Cover Map Updating by Integrating Change Detection and Sub-Pixel Mapping","volume":"81","author":"Li","year":"2015","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1080\/2150704X.2013.781284","article-title":"Interpolation-based super-resolution land cover mapping","volume":"4","author":"Ling","year":"2013","journal-title":"Remote Sens. Lett."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"5677","DOI":"10.1109\/TGRS.2013.2291902","article-title":"Superresolution Land Cover Mapping with Multiscale Information by Fusing Local Smoothness Prior and Downscaled Coarse Fractions","volume":"52","author":"Ling","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1109\/LGRS.2005.851551","article-title":"Superresolution mapping using a Hopfield neural network with LIDAR data","volume":"2","author":"Nguyen","year":"2005","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"2810","DOI":"10.1109\/TGRS.2013.2266345","article-title":"Spatially Adaptive Superresolution Land Cover Mapping with Multispectral and Panchromatic Images","volume":"52","author":"Li","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1109\/TGRS.2007.907102","article-title":"Geostatistical solutions for super-resolution land cover mapping","volume":"46","author":"Boucher","year":"2008","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1109\/JSTARS.2014.2305652","article-title":"Example-based super-resolution land cover mapping using support vector regression","volume":"7","author":"Zhang","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"3794","DOI":"10.1109\/TGRS.2016.2527841","article-title":"Learning-based superresolution land cover mapping","volume":"54","author":"Ling","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_62","first-page":"337","article-title":"Completion of the 2001 National Land Cover Database for the conterminous United States","volume":"73","author":"Homer","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.rse.2013.01.012","article-title":"A comprehensive change detection method for updating the National Land Cover Database to circa 2011","volume":"132","author":"Jin","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"2395","DOI":"10.1080\/2150704X.2015.1040130","article-title":"Landscape heterogeneity and scale considerations for super-resolution mapping","volume":"36","author":"Frazier","year":"2015","journal-title":"Int. J. Remote Sens."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/8\/642\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:27:55Z","timestamp":1760210875000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/8\/642"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,6]]},"references-count":64,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2016,8]]}},"alternative-id":["rs8080642"],"URL":"https:\/\/doi.org\/10.3390\/rs8080642","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2016,8,6]]}}}