{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T10:53:47Z","timestamp":1782816827664,"version":"3.54.5"},"reference-count":57,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,10,26]],"date-time":"2018-10-26T00:00:00Z","timestamp":1540512000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research Project of Stereoscopic Monitoring System for Water Resources and the Application of Remote Sensing Technology","award":["2017YFC0405803"],"award-info":[{"award-number":["2017YFC0405803"]}]},{"name":"Dynamic Assessment and Prediction of Monthly Water Storage and Water Demand in China","award":["WR0145B012017"],"award-info":[{"award-number":["WR0145B012017"]}]},{"name":"Special Fund for the Commercialization of Research Findings from China Institute of Water Resources and Hydropower Research\u2014Actual Irrigated Area Estimation Using Remote Sensing","award":["WR1003A112016"],"award-info":[{"award-number":["WR1003A112016"]}]},{"name":"Framework Design of National Intelligent Water Network Project","award":["WR0145B272016"],"award-info":[{"award-number":["WR0145B272016"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Continuous daily evapotranspiration (ET) monitoring at the field-scale is crucial for water resource management in irrigated agricultural areas in arid regions. Here, an integrated framework for daily ET, with the required spatiotemporal resolution, is described. Multi-scale surface energy balance algorithm evaluations and a data fusion algorithm are combined to optimally exploit the spatial and temporal characteristics of image datasets, collected by the advanced space-borne thermal emission reflectance radiometer (ASTER) and the moderate resolution imaging spectroradiometer (MODIS). Through combination with a linear unmixing-based method, the spatial and temporal adaptive reflectance fusion model (STARFM) is modified to generate high-resolution ET estimates for heterogeneous areas. The performance of this methodology was evaluated for irrigated agricultural fields in arid and semiarid areas of Northwest China. Compared with the original STARFM, a significant improvement in daily ET estimation accuracy was obtained by the modified STARFM (overall mean absolute percentage error (MAP): 12.9% vs. 17.2%; root mean square error (RMSE): 0.7 mm d\u22121 vs. 1.2 mm d\u22121). The modified STARFM additionally preserved more spatial details than the original STARFM for heterogeneous agricultural fields, and provided field-to-field variability in water use. Improvements were further evident in the continuous daily ET, where the day-to-day dynamics of ET estimates were captured. ET data fusion provides a unique means of monitoring continuous daily crop ET values at the field-scale in agricultural areas, and may have value in supporting operational water management decisions.<\/jats:p>","DOI":"10.3390\/rs10111694","type":"journal-article","created":{"date-parts":[[2018,10,26]],"date-time":"2018-10-26T10:51:01Z","timestamp":1540551061000},"page":"1694","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Continuous Daily Evapotranspiration Estimation at the Field-Scale over Heterogeneous Agricultural Areas by Fusing ASTER and MODIS Data"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3568-3935","authenticated-orcid":false,"given":"Zhenyan","family":"Yi","sequence":"first","affiliation":[{"name":"Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongli","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunzhong","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"RG3002","DOI":"10.1029\/2011RG000366","article-title":"Evapotranspiration: A process driving mass transport and energy exchange in the soil-plant-atmosphere-climate system","volume":"50","author":"Katul","year":"2012","journal-title":"Rev. Geophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1016\/j.rse.2011.08.025","article-title":"Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources","volume":"122","author":"Anderson","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Magali, O.L., Isidro, C., Christopher, M.U.N., Samuel, O.F., Carlos, P.E., Claudio, B., and Alfonso, C. (2016). Estimating Evapotranspiration of an Apple Orchard Using a Remote Sensing-Based Soil Water Balance. Remote Sens., 8.","DOI":"10.3390\/rs8030253"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2243","DOI":"10.1002\/hyp.10365","article-title":"Evaluation of irrigation water use efficiency using remote sensing in the middle reach of the Heihe river, in the semi-arid Northwestern China","volume":"29","author":"Wu","year":"2015","journal-title":"Hydrol. Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1016\/j.agrformet.2012.05.011","article-title":"Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China","volume":"164","author":"Yang","year":"2012","journal-title":"Agric. For. Meteorol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"3056","DOI":"10.3390\/rs70303056","article-title":"Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations","volume":"7","author":"Hu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.3390\/rs1041273","article-title":"An empirical algorithm for estimating agricultural and riparian evapotranspiration using MODIS enhanced vegetation index and ground measurements of ET. I. Description of method","volume":"1","author":"Nagler","year":"2009","journal-title":"Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0022-1694(98)00253-4","article-title":"A remote sensing surface energy balance algorithm for land (SEBAL)1. Formulation","volume":"212\u2013213","author":"Bastiaanssen","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"85","DOI":"10.5194\/hess-6-85-2002","article-title":"The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes","volume":"6","author":"Su","year":"2002","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"380","DOI":"10.1061\/(ASCE)0733-9437(2007)133:4(380)","article-title":"Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC)-model","volume":"133","author":"Allen","year":"2007","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1029\/97WR00704","article-title":"A two-source approach for estimating turbulent fluxes using multiple angle thermal infrared observations","volume":"33","author":"Kustas","year":"1997","journal-title":"Water Resour. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1029\/2007WR006562","article-title":"A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman-Monteith equation","volume":"44","author":"Leuning","year":"2008","journal-title":"Water Resour. Res."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.rse.2015.05.013","article-title":"A satellite-based hybrid algorithm to determine the Priestley-Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes","volume":"165","author":"Yao","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.agrformet.2016.03.013","article-title":"Assimilating multi-source data into land surface model to simultaneously improve estimations of soil moisture, soil temperature, and surface turbulent fluxes in irrigated fields","volume":"230\u2013231","author":"Huang","year":"2016","journal-title":"Agric. Forest Meteorol."},{"key":"ref_15","first-page":"123","article-title":"Data assimilation of satellite-based actual evapotranspiration in a distributed hydrological model of a controlled water system","volume":"57","author":"Hartanto","year":"2017","journal-title":"Int. J. Appl. Earth Observ. Geoinf."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Yang, Y.T. (2015). Evapotranspiration over Heterogeneous Vegetated Surfaces. [Ph.D. Thesis, Tsinghua University].","DOI":"10.1007\/978-3-662-46173-0"},{"key":"ref_17","first-page":"1","article-title":"A review of global terrestrial evapotranspiration: Observation, modelling, climatology, and climatic variability","volume":"50","author":"Wang","year":"2011","journal-title":"Rev. Geophys."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"70","DOI":"10.3390\/s8010070","article-title":"Assessment of Evapotranspiration and Soil Moisture Content across Different Scales of Observation","volume":"8","author":"Verstraeten","year":"2008","journal-title":"Sensors"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1016\/j.advwatres.2012.03.010","article-title":"Overview of the Bushland Evapotranspiration and Agricultural Remote sensing EXperiment 2008 (BEAREX08): A field experiment evaluating methods for quantifying ET at multiple scales","volume":"50","author":"Evett","year":"2012","journal-title":"Adv. Water Resour."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.rse.2004.02.020","article-title":"Effects of remote sensing pixel resolution on modeled energy flux variability of croplands in Iowa","volume":"92","author":"Kustas","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"He, R.Y., Jin, Y.F., Kandelous, M.M., Zaccaria, D., Sanden, B.L., Snyder, R.L., Jiang, J.B., and Hopmans, J.W. (2017). Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations. Remote Sens., 9.","DOI":"10.3390\/rs9050436"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.rse.2015.12.043","article-title":"Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin","volume":"185","author":"Senay","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.rse.2006.07.006","article-title":"Scale Influences on the Remote Estimation of Evapotranspiration Using Multiple Satellite Sensors","volume":"105","author":"McCabe","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"10483","DOI":"10.3390\/rs61110483","article-title":"On the Downscaling of Actual Evapotranspiration Maps Based on Combination of MODIS and Landsat-Based Actual Evapotranspiration Estimates","volume":"6","author":"Singh","year":"2014","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Ke, Y.H., Im, J.H., Park, S., and Gong, H.L. (2016). Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches. Remote Sens., 8.","DOI":"10.3390\/rs8030215"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2207","DOI":"10.1109\/TGRS.2006.872081","article-title":"On the Blending of the Landsat and MODIS Surface Reflectance: Predicting Daily Landsat Surface Reflectance","volume":"44","author":"Gao","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.3390\/rs4061856","article-title":"Preparing Landsat Image Time Series (LITS) for Monitoring Changes in Vegetation Phenology in Queensland, Australia","volume":"4","author":"Bhandari","year":"2012","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1016\/j.rse.2017.05.011","article-title":"Generating a series of fine spatial and temporal resolution land cover maps by fusing coarse spatial resolution remotely sensed images and fine spatial resolution land cover maps","volume":"196","author":"Li","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.rse.2014.02.003","article-title":"Generating Daily Land Surface Temperature at Landsat Resolution by Fusing Landsat and MODIS data","volume":"45","author":"Weng","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Yang, G.J., Weng, Q.H., Pu, R.L., Gao, F., Sun, C.H., Li, H., and Zhao, C.J. (2016). Evaluation of ASTER-Like Daily Land Surface Temperature by Fusing ASTER and MODIS Data during the HiWATER-MUSOEXE. Remote Sens., 8.","DOI":"10.3390\/rs8010075"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"4672","DOI":"10.1002\/wrcr.20349","article-title":"A Data Fusion Approach for Mapping Daily Evapotranspiration at Field Scale","volume":"49","author":"Cammalleri","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.agrformet.2013.11.001","article-title":"Mapping Daily Evapotranspiration at Field Scales over Rainfed and Irrigated Agricultural Areas Using Remote Sensing Data Fusion","volume":"186","author":"Cammalleri","year":"2014","journal-title":"Agric. For. Meteorol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.5194\/hess-21-1017-2017","article-title":"Daily Landsat-scale Evapotranspiration Estimation over a Forested Landscape in North Carolina, USA Using Multi-satellite Data Fusion","volume":"21","author":"Yang","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.rse.2015.10.025","article-title":"Monitoring Daily Evapotranspiration over Two California Vineyards Using Landsat 8 in a Multi-sensor Data Fusion Approach","volume":"185","author":"Semmens","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.agrformet.2017.05.023","article-title":"Mapping Daily Evapotranspiration Based on Spatiotemporal Fusion of ASTER and MODIS Images over Irrigated Agricultural Areas in the Heihe River Basin, Northwest China","volume":"244\u2013245","author":"Li","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1016\/j.rse.2009.03.007","article-title":"A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS","volume":"113","author":"Hilker","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2610","DOI":"10.1016\/j.rse.2010.05.032","article-title":"An Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model for Complex Heterogeneous Regions","volume":"114","author":"Zhu","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"6346","DOI":"10.3390\/rs5126346","article-title":"An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model","volume":"5","author":"Fu","year":"2013","journal-title":"Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.agwat.2017.03.028","article-title":"Responses of field evapotranspiration to the changes of cropping pattern and groundwater depth in large irrigation district of Yellow River basin","volume":"188","author":"Bai","year":"2017","journal-title":"Agric. Water Manag."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Yi, Z.Y., Zhao, H.L., Jiang, Y.Z., Yan, H.W., Cao, Y., Huang, Y.Y., and Hao, Z. (2018). Daily Evapotranspiration Estimation at the Field Scale: Using the Modified SEBS Model and HJ-1 Data in a Desert-Oasis Area, Northwestern China. Water, 10.","DOI":"10.3390\/w10050640"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"794","DOI":"10.1016\/j.scitotenv.2017.11.037","article-title":"Ecological effects and potential risks of the water diversion project in the Heihe River Basin","volume":"619\u2013620","author":"Zhang","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"170083","DOI":"10.1038\/sdata.2017.83","article-title":"A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system","volume":"4","author":"Li","year":"2017","journal-title":"Sci. Data"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"13140","DOI":"10.1002\/2013JD020260","article-title":"Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE","volume":"118","author":"Xu","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.jhydrol.2011.02.031","article-title":"Guidelines on validation procedures for meteorological data from automatic weather stations","volume":"402","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.agwat.2016.04.019","article-title":"Quality assurance procedures for validating meteorological input variables of reference evapotranspiration in mendoza province (Argentina)","volume":"172","author":"Cavagnaro","year":"2016","journal-title":"Agric. Water Manag."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1175\/JAMC-D-16-0096.1","article-title":"Assessment of the Energy balance closure under advective conditions and its impact using remote sensing data","volume":"56","author":"Xu","year":"2017","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.rse.2013.11.014","article-title":"Evaluation of the VIIRS and MODIS LST Products in an Arid Area of Northwest China","volume":"142","author":"Li","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_48","first-page":"1","article-title":"Finer Resolution Land-Cover Mapping Using Multiple Classifiers and Multisource Remotely Sensed Data in the Heihe River Basin","volume":"99","author":"Zhong","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"6862","DOI":"10.3390\/rs70606862","article-title":"Leaf Area Index Retrieval Combining HJ1\/CCD and Landsat8\/OLI Data in the Heihe River Basin, China","volume":"7","author":"Zhao","year":"2015","journal-title":"Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/0168-1923(90)90033-3","article-title":"Estimation of the soil heat flux\/net radiation ratio from spectral data","volume":"49","author":"Kustas","year":"1990","journal-title":"Agric. For. Meteorol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/j.rse.2012.02.003","article-title":"Integration of soil moisture in SEBS for improving evapotranspiration estimation under water stress conditions","volume":"121","author":"Gokmen","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"16795","DOI":"10.3390\/rs71215854","article-title":"Improving Estimation of Evapotranspiration under Water-Limited Conditions Based on SEBS and MODIS Data in Arid Regions","volume":"7","author":"Huang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.agrformet.2015.08.260","article-title":"Integrating soil moisture retrieved from L-band microwave radiation into an energy balance model to improve evapotranspiration estimation on the irrigated oases of arid regions in northwest China","volume":"214\u2013215","author":"Li","year":"2015","journal-title":"Agric. Forest Meteorol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.isprsjprs.2007.03.002","article-title":"Modified perpendicular drought index (MPDI): A real-time drought monitoring method","volume":"62","author":"Ghulam","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1080\/01431169308904402","article-title":"Linear Mixing and the Estimation of Ground Cover Proportions","volume":"14","author":"Settle","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, L., Chen, L.Q., Liao, Z.H., Wang, Y.C., Wang, B.Y., and Yang, X.Y. (2017). A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data. Remote Sens., 9.","DOI":"10.3390\/rs9101029"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Xie, D.F., Zhang, J.S., Zhu, X.F., Pan, Y.Z., Liu, H.L., Yuan, Z.M.Q., and Yun, Y. (2016). An Improved STARFM with Help of an Unmixing-Based Method to Generate High Spatial and Temporal Resolution Remote Sensing Data in Complex Heterogeneous Regions. Sensors, 16.","DOI":"10.3390\/s16020207"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1694\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:26:27Z","timestamp":1760196387000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/11\/1694"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,26]]},"references-count":57,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["rs10111694"],"URL":"https:\/\/doi.org\/10.3390\/rs10111694","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,26]]}}}