{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T03:18:16Z","timestamp":1789528696911,"version":"build-2803163510"},"reference-count":60,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,1,18]],"date-time":"2017-01-18T00:00:00Z","timestamp":1484697600000},"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>Due to increasing pressures on water resources, there is a need to monitor regional water resource availability in a spatially and temporally explicit manner. However, for many parts of the world, there is insufficient data to quantify stream flow or ground water infiltration rates. We present the results of a pixel-based water balance formulation to partition rainfall into evapotranspiration, surface water runoff and potential ground water infiltration. The method leverages remote sensing derived estimates of precipitation, evapotranspiration, soil moisture, Leaf Area Index, and a single F coefficient to distinguish between runoff and storage changes. The study produced significant correlations between the remote sensing method and field based measurements of river flow in two Vietnamese river basins. For the Ca basin, we found R2 values ranging from 0.88\u20130.97 and Nash\u2013Sutcliffe efficiency (NSE) values varying between 0.44\u20130.88. The R2 for the Red River varied between 0.87\u20130.93 and NSE values between 0.61 and 0.79. Based on these findings, we conclude that the method allows for a fast and cost-effective way to map water resource availability in basins with no gauges or monitoring infrastructure, without the need for application of sophisticated hydrological models or resource-intensive data.<\/jats:p>","DOI":"10.3390\/rs9010086","type":"journal-article","created":{"date-parts":[[2017,1,18]],"date-time":"2017-01-18T10:00:47Z","timestamp":1484733647000},"page":"86","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["A Self-Calibrating Runoff and Streamflow Remote Sensing Model for Ungauged Basins Using Open-Access Earth Observation Data"],"prefix":"10.3390","volume":"9","author":[{"given":"Ate","family":"Poortinga","sequence":"first","affiliation":[{"name":"Winrock International, Vietnam Forests and Deltas program, 98 To Ngoc Van, Tay Ho, Hanoi 100803, Vietnam"},{"name":"Spatial Informatics Group, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"},{"name":"SERVIR-Mekong, SM Tower, 24th Floor, 979\/69 Paholyothin Road, Samsen Nai Phayathai, Bangkok 10400, Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wim","family":"Bastiaanssen","sequence":"additional","affiliation":[{"name":"Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, Delft 2628 CN, The Netherlands"},{"name":"UNESCO-IHE, Westvest 7, Delft 2611 AX, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gijs","family":"Simons","sequence":"additional","affiliation":[{"name":"Faculty of Civil Engineering and Geosciences, Department of Water Management, Delft University of Technology, Stevinweg 1, Delft 2628 CN, The Netherlands"},{"name":"FutureWater, Costerweg 1V, Wageningen 6702 AA, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9999-1219","authenticated-orcid":false,"given":"David","family":"Saah","sequence":"additional","affiliation":[{"name":"Spatial Informatics Group, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"},{"name":"SERVIR-Mekong, SM Tower, 24th Floor, 979\/69 Paholyothin Road, Samsen Nai Phayathai, Bangkok 10400, Thailand"},{"name":"Geospatial Analysis Lab, University of San Francisco, 2130 Fulton St., San Francisco, CA 94117, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gabriel","family":"Senay","sequence":"additional","affiliation":[{"name":"USGS EROS Center, North Central Climate Science Center, Colorado State University, Fort Collins, CO 80523, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark","family":"Fenn","sequence":"additional","affiliation":[{"name":"Winrock International, Vietnam Forests and Deltas program, 98 To Ngoc Van, Tay Ho, Hanoi 100803, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Brian","family":"Bean","sequence":"additional","affiliation":[{"name":"Winrock International, Vietnam Forests and Deltas program, 98 To Ngoc Van, Tay Ho, Hanoi 100803, Vietnam"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Kadyszewski","sequence":"additional","affiliation":[{"name":"Winrock International, 2121 Crystal Drive, Suite 500, Arlington, VA 22202, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,1,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.agwat.2005.07.001","article-title":"Water scarcity: Fact or fiction?","volume":"80","author":"Rijsberman","year":"2006","journal-title":"Agric. Water Manag."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Mekonnen, M.M., and Hoekstra, A.Y. (2016). Four billion people facing severe water scarcity. Sci. Adv., 2.","DOI":"10.1126\/sciadv.1500323"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Tolentino, P.L.M., Poortinga, A., Kanamaru, H., Keesstra, S., Maroulis, J., David, C.P.C., and Ritsema, C.J. (2016). Projected Impact of Climate Change on Hydrological Regimes in the Philippines. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0163941"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1002\/hyp.5520","article-title":"The role of satellite remote sensing in the prediction of ungauged basins","volume":"18","author":"Lakshmi","year":"2004","journal-title":"Hydrol. Process."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"10306","DOI":"10.3390\/rs61110306","article-title":"Earth observation based assessment of the water production and water consumption of Nile Basin agro-ecosystems","volume":"6","author":"Bastiaanssen","year":"2014","journal-title":"Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Simons, G., Bastiaanssen, W., Ng\u00f4, L.A., Hain, C.R., Anderson, M., and Senay, G. (2016). Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin. Remote Sens., 8.","DOI":"10.3390\/rs8040279"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"533","DOI":"10.5194\/hess-19-533-2015","article-title":"Spatial evapotranspiration, rainfall and land use data in water accounting. Part 2: Reliability of water accounting results for policy decisions in the Awash basin","volume":"19","author":"Karimi","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2459","DOI":"10.5194\/hess-17-2459-2013","article-title":"Water Accounting Plus (WA+)\u2014A water accounting procedure for complex river basins based on satellite measurements","volume":"17","author":"Karimi","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1080\/07900629948934","article-title":"Water accounting to assess use and productivity of water","volume":"15","author":"Molden","year":"1999","journal-title":"Int. J. Water Resour. Dev."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"507","DOI":"10.5194\/hess-19-507-2015","article-title":"Spatial evapotranspiration, rainfall and land use data in water accounting. Part 1: Review of the accuracy of the remote sensing data","volume":"19","author":"Karimi","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1016\/j.jhydrol.2007.11.017","article-title":"Calibration of a distributed hydrological model based on satellite evapotranspiration","volume":"349","author":"Immerzeel","year":"2008","journal-title":"J. Hydrol."},{"key":"ref_12","first-page":"2961","article-title":"Lumped surface and sub-surface runoff for erosion modeling within a small hilly watershed in northern Vietnam","volume":"28","author":"Bui","year":"2014","journal-title":"Hydrol. Process."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.agee.2008.06.004","article-title":"Runoff and sediment losses from 27 upland catchments in Southeast Asia: Impact of rapid land use changes and conservation practices","volume":"128","author":"Valentin","year":"2008","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_14","unstructured":"Cheang, B.K. (1987). Short-and Long-Range Monsoon Prediction in Southeast Asia."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1002\/joc.3684","article-title":"Variations of surface temperature and rainfall in Vietnam from 1971 to 2010","volume":"34","author":"Nguyen","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_16","first-page":"193","article-title":"Interannual variation of the fall rainfall in Central Vietnam","volume":"89","author":"Yen","year":"2011","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_17","first-page":"1439","article-title":"Relationship between the tropical Pacific and Indian Ocean sea-surface temperature and monthly precipitation over the central highlands, Vietnam","volume":"27","author":"Nguyen","year":"2007","journal-title":"J. Meteorol. Soc. Jpn."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Thomas, T., Christiaensen, L., Do, Q.T., and Trung, L.D. (2010). Natural Disasters and Household Welfare: Evidence from Vietnam, World Bank.","DOI":"10.1596\/1813-9450-5491"},{"key":"ref_19","unstructured":"NCDC. Available online: http:\/\/land.copernicus.vgt.vito.be."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros, D.H., Verdin, J.P., Rowland, J.D., Romero, B.E., Husak, G.J., Michaelsen, J.C., and Verdin, A.P. (2013). A Quasi-Global Precipitation Time Series for Drought Monitoring.","DOI":"10.3133\/ds832"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1175\/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2","article-title":"CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution","volume":"5","author":"Joyce","year":"2004","journal-title":"J. Hydrometeorol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1002\/joc.3711","article-title":"Updated high-resolution grids of monthly climatic observations\u2014The CRU TS3. 10 Dataset","volume":"34","author":"Harris","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"133","DOI":"10.5194\/hess-16-133-2012","article-title":"Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia","volume":"16","author":"Vernimmen","year":"2012","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2603","DOI":"10.1080\/01431161.2011.617397","article-title":"Local calibration of remotely sensed rainfall from the TRMM satellite for different periods and spatial scales in the Indus Basin","volume":"33","author":"Cheema","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"32","DOI":"10.3390\/w6010032","article-title":"Evaluation of version-7 TRMM multi-satellite precipitation analysis product during the Beijing extreme heavy rainfall event of 21 July 2012","volume":"6","author":"Huang","year":"2013","journal-title":"Water"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"979","DOI":"10.3390\/s7060979","article-title":"A coupled remote sensing and simplified surface energy balance approach to estimate actual evapotranspiration from irrigated fields","volume":"7","author":"Senay","year":"2007","journal-title":"Sensors"},{"key":"ref_27","first-page":"723","article-title":"Evaluating the SSEBop approach for evapotranspiration mapping with landsat data using lysimetric observations in the semi-arid Texas High Plains","volume":"11","author":"Senay","year":"2014","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.jhydrol.2016.02.026","article-title":"Uncertainty analysis of the Operational Simplified Surface Energy Balance (SSEBop) model at multiple flux tower sites","volume":"536","author":"Chen","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_29","unstructured":"Budyko, M. (1974). Climate and Life, Academic Press."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1175\/BAMS-85-3-381","article-title":"The global land data assimilation system","volume":"85","author":"Rodell","year":"2004","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Gentine, P., D\u2019Odorico, P., Lintner, B.R., Sivandran, G., and Salvucci, G. (2012). Interdependence of climate, soil, and vegetation as constrained by the Budyko curve. Geophys. Res. Lett., 39.","DOI":"10.1029\/2012GL053492"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/S0034-4257(01)00342-X","article-title":"Airborne multispectral data for quantifying leaf area index, nitrogen concentration, and photosynthetic efficiency in agriculture","volume":"81","author":"Boegh","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_33","unstructured":"Von Hoyningen-Huene, J. (1981). Die Interzeption des Niederschlags in Landwirtschaftlichen Pflanzenbest\u00e4nden, Arbeitsbericht Deutscher Verband f\u00fcr Wasserwirtschaft und Kulturbau (DVWK)."},{"key":"ref_34","first-page":"294","article-title":"Ein energiehaushalts- und verdunstungsmodell fur wasser und stoffhaushaltsuntersuchungen landwirtschaftlich genutzter einzugsgebiete","volume":"42","author":"Braden","year":"1985","journal-title":"Mitt. Deutsch. Bodenk. Ges."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Yeh, P.J.F., Swenson, S., Famiglietti, J., and Rodell, M. (2006). Remote sensing of groundwater storage changes in Illinois using the Gravity Recovery and Climate Experiment (GRACE). Water Resour. Res., 42.","DOI":"10.1029\/2006WR005374"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s10040-006-0103-7","article-title":"Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE","volume":"15","author":"Rodell","year":"2007","journal-title":"Hydrogeol. J."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Nolet, C., Poortinga, A., Roosjen, P., Bartholomeus, H., and Ruessink, G. (2014). Measuring and modeling the effect of surface moisture on the spectral reflectance of coastal beach sand. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0112151"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/S0034-4257(99)00036-X","article-title":"A method for estimating soil moisture from ERS scatterometer and soil data","volume":"70","author":"Wagner","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1109\/TGRS.2008.2011617","article-title":"An improved soil moisture retrieval algorithm for ERS and METOP scatterometer observations","volume":"47","author":"Naeimi","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2566","DOI":"10.1109\/TGRS.2011.2177667","article-title":"ASCAT Surface State Flag (SSF): Extracting information on surface freeze\/thaw conditions from backscatter data using an empirical threshold-analysis algorithm","volume":"50","author":"Naeimi","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_41","unstructured":"Copernicus Global Land Service. Available online: http:\/\/land.copernicus.vgt.vito.be."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.5194\/hess-12-1323-2008","article-title":"From near-surface to root-zone soil moisture using an exponential filter: An assessment of the method based on in-situ observations and model simulations","volume":"12","author":"Albergel","year":"2008","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1549","DOI":"10.1002\/hyp.5585","article-title":"Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain","volume":"19","author":"Ceballos","year":"2005","journal-title":"Hydrol. Process."},{"key":"ref_44","unstructured":"De Boer, F. (2016). HiHydroSoil: A High Resolution Soil Map of Hydraulic Properties\u2014Version 1.2, FutureWater. Technical Report."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Hengl, T., de Jesus, J.M., MacMillan, R.A., Batjes, N.H., Heuvelink, G.B., Ribeiro, E., Rosa, A.S., Kempen, B., Leenaars, J.G., and Walsh, M.G. (2014). SoilGrids1km\u2014Global soil information based on automated mapping. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0105992"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1061\/(ASCE)0733-9437(2003)129:5(326)","article-title":"Mapping root zone soil moisture using remotely sensed optical imagery","volume":"129","author":"Scott","year":"2003","journal-title":"J. Irrig. Drain. Eng."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2012.12.002","article-title":"First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling\u2013calibration procedure","volume":"131","author":"Duan","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/S0022-1694(97)00147-9","article-title":"A biophysical process-based estimate of global land surface evaporation using satellite and ancillary data I. Model description and comparison with observations","volume":"205","author":"Choudhury","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"7461","DOI":"10.1029\/95JD02892","article-title":"Simple water balance model for estimating runoff at different spatial and temporal scales","volume":"101","author":"Schaake","year":"1996","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/0022-1694(70)90255-6","article-title":"River flow forecasting through conceptual models part I\u2014A discussion of principles","volume":"10","author":"Nash","year":"1970","journal-title":"J. Hydrol."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Foglia, L., Hill, M.C., Mehl, S.W., and Burlando, P. (2009). Sensitivity analysis, calibration, and testing of a distributed hydrological model using error-based weighting and one objective function. Water Resour. Res., 45.","DOI":"10.1029\/2008WR007255"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1002\/hyp.7530","article-title":"SWAT-simulated hydrological impact of land-use change in the Zanjanrood Basin, Northwest Iran","volume":"24","author":"Ghaffari","year":"2010","journal-title":"Hydrol. Process."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.ecolind.2013.11.010","article-title":"Mapping ecosystem services: The supply and demand of flood regulation services in Europe","volume":"38","author":"Poortinga","year":"2014","journal-title":"Ecol. Indic."},{"key":"ref_54","unstructured":"Poortinga, A., Delobel, F., Rojas, O., Peters, S., and Ward, P. (2012, January 1\u20134). MOSAICC: An inter-disciplinary system of models to evaluate the impact of climate change on agriculture. Proceedings of The 8th International Symposium Agro Environ, Wageningen, The Netherlands."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2009","DOI":"10.5194\/gmd-8-2009-2015","article-title":"SPHY v2.0: Spatial Processes in Hydrology","volume":"8","author":"Terink","year":"2015","journal-title":"Geosci. Model Dev."},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Wada, Y., van Beek, L.P., van Kempen, C.M., Reckman, J.W., Vasak, S., and Bierkens, M.F. (2010). Global depletion of groundwater resources. Geophys. Res. Lett., 37.","DOI":"10.1029\/2010GL044571"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1175\/2009JHM1034.1","article-title":"Seasonal predictability of European discharge: NAO and hydrological response time","volume":"10","author":"Bierkens","year":"2009","journal-title":"J. Hydrometeorol."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Singh, R.K., and Senay, G.B. (2016). Comparison of four different energy balance models for estimating evapotranspiration in the Midwestern United States. Water, 8.","DOI":"10.3390\/w8010009"},{"key":"ref_59","first-page":"75","article-title":"Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate","volume":"49","author":"Bhattarai","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1623\/hysj.53.6.1137","article-title":"Evaluation of five satellite products for estimation of rainfall over Uganda\/Evaluation de cinq produits satellitaires pour l\u2019estimation des pr\u00e9cipitations en Ouganda","volume":"53","author":"Asadullah","year":"2008","journal-title":"Hydrol. Sci. J."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/86\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T18:26:28Z","timestamp":1760207188000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/9\/1\/86"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1,18]]},"references-count":60,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2017,1]]}},"alternative-id":["rs9010086"],"URL":"https:\/\/doi.org\/10.3390\/rs9010086","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1,18]]}}}