{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T18:40:54Z","timestamp":1776537654818,"version":"3.51.2"},"reference-count":71,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2016,3,29]],"date-time":"2016-03-29T00:00:00Z","timestamp":1459209600000},"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>A new index for agricultural drought monitoring is presented based on the integration of different soil\/vegetation remote sensing observations. The synergistic fusion of the surface soil moisture (SSM) from the Soil Moisture and Ocean Salinity (SMOS) mission, with the Moderate Resolution Imaging Spectroradiometer (MODIS) derived land surface temperature (LST), and water\/vegetation indices for agricultural drought monitoring was tested. The rationale of the approach is based on the inverse relationship between LST, vegetation condition and soil moisture content. Thus, the proposed Soil Moisture Agricultural Drought Index (SMADI) combines the soil and temperature conditions while including the lagged response of vegetation. SMADI was retrieved every eight days at 500 m spatial resolution for the whole Iberian Peninsula (IP) from 2010 to 2014, and a time lag of eight days was used to account for the plant response to the varying soil\/climatic conditions. The results of SMADI compared well with other agricultural indices in a semiarid area in the Duero basin, in Spain, and also with a climatic index in areas of the Iberian Peninsula under contrasted climatic conditions. Based on a standard classification of drought severity, the proposed index allowed for a coherent description of the drought conditions of the IP during the study period.<\/jats:p>","DOI":"10.3390\/rs8040287","type":"journal-article","created":{"date-parts":[[2016,3,29]],"date-time":"2016-03-29T16:00:28Z","timestamp":1459267228000},"page":"287","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":111,"title":["A New Soil Moisture Agricultural Drought Index (SMADI) Integrating MODIS and SMOS Products: A Case of Study over the Iberian Peninsula"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8396-6550","authenticated-orcid":false,"given":"Nilda","family":"S\u00e1nchez","sequence":"first","affiliation":[{"name":"Instituto Hispano Luso de Investigaciones Agrarias, University of Salamanca, Duero 12, 37185 Villamayor (Salamanca), Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1145-0803","authenticated-orcid":false,"given":"\u00c1ngel","family":"Gonz\u00e1lez-Zamora","sequence":"additional","affiliation":[{"name":"Instituto Hispano Luso de Investigaciones Agrarias, University of Salamanca, Duero 12, 37185 Villamayor (Salamanca), Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1169-3098","authenticated-orcid":false,"given":"Mar\u00eda","family":"Piles","sequence":"additional","affiliation":[{"name":"Barcelona Expert Center, Institute of Marine Sciences, CSIC, Passeig Mar\u00edtim de la Barceloneta, 37-49, 08003 Barcelona, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0446-9693","authenticated-orcid":false,"given":"Jos\u00e9","family":"Mart\u00ednez-Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Instituto Hispano Luso de Investigaciones Agrarias, University of Salamanca, Duero 12, 37185 Villamayor (Salamanca), Spain"}]}],"member":"1968","published-online":{"date-parts":[[2016,3,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"3011","DOI":"10.5194\/hess-16-3011-2012","article-title":"Are drought occurrence and severity aggravating? A study on SPI drought class transitions using log-linear models and ANOVA-like inference","volume":"16","author":"Moreira","year":"2012","journal-title":"Hydrol. Earth Syst. Sci. Discuss."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.rse.2003.10.003","article-title":"Impacts of hydrologic soil properties on drought detection with MODIS thermal data","volume":"89","author":"Park","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/j.pce.2004.08.036","article-title":"Palmer drought severity index as soil moisture indicator: Physical interpretation, statistical behaviour and relation to global climate","volume":"30","author":"Mika","year":"2005","journal-title":"Phys. Chem. Earth"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1080\/02508068508686328","article-title":"Understanding the drought phenomenon: The role of definitions","volume":"10","author":"Wilhite","year":"1985","journal-title":"Water Int."},{"key":"ref_5","unstructured":"Senay, G.B., Budde, M.B., Brown, J.F., and Verdin, J.P. (2008, January 20\u201324). Mapping flash drought in the U.S. Southern great plains. Proceedings of the 22nd Conference on Hydrology, New Orleans, LA, USA."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1002\/joc.1749","article-title":"The development and evaluation of a soil moisture index","volume":"29","author":"Hunt","year":"2009","journal-title":"Int. J. Climatol."},{"key":"ref_7","unstructured":"McKee, T.B., Doesken, N.J., and Kleist, J. (1993, January 17\u201323). The relationship of drought frequency and duration of time scales. Proceedings of the Eighth Conference on Applied Climatology, Anaheim, CA, USA."},{"key":"ref_8","unstructured":"Bureau, U.S.W. (1965). Meteorological Drought, Research Paper No. 45."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1080\/00431672.1968.9932814","article-title":"Keeping track of crop moisture conditions, nationwide: The new crop moisture index","volume":"21","author":"Palmer","year":"1968","journal-title":"Weatherwise"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/0143116031000115328","article-title":"Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA","volume":"25","author":"Wan","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1888","DOI":"10.2136\/sssaj2013.03.0093","article-title":"State of the art in large-scale soil moisture monitoring","volume":"77","author":"Ochsner","year":"2013","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.jhydrol.2014.12.051","article-title":"A soil water based index as a suitable agricultural drought indicator","volume":"522","author":"Gumuzzio","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1109\/JPROC.2010.2043032","article-title":"The SMOS MISSION: New tool for monitoring key elements of the Global Water Cycle","volume":"98","author":"Kerr","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"704","DOI":"10.1109\/JPROC.2010.2043918","article-title":"The Soil Moisture Active Passive (SMAP) mission","volume":"98","author":"Entekhabi","year":"2010","journal-title":"Proc. IEEE"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3867","DOI":"10.1109\/JSTARS.2014.2315999","article-title":"Assimilation of SMOS soil moisture for quantifying drought impacts on crop yield in agricultural regions","volume":"7","author":"Chakrabarti","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_16","first-page":"155","article-title":"Triangle models and misconceptions","volume":"3","author":"Carlson","year":"2013","journal-title":"Int. J. Remote Sens. Appl."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, N., Mart\u00ednez-Fern\u00e1ndez, J., Piles, M., Camps, A., Vall-llossera, M., and Aguasca, A. (2014, January 13\u201318). Hyperspectral-derived indices for soil moisture estimation at very high resolution. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014, Qu\u00e9bec, QC, Canada.","DOI":"10.1109\/IGARSS.2014.6947082"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3845","DOI":"10.1109\/JSTARS.2014.2325398","article-title":"A dowscaling approach for SMOS land observations: Evaluation of high resolution soil moisture maps over the Iberian Peninsula","volume":"7","author":"Piles","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2012.11.008","article-title":"Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain","volume":"130","author":"Merlin","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_20","unstructured":"Thenkabail, P.S., Gamage, M.S.D.N., and Smakhtin, V.U. (2004). The Use of Remote Sensing Data for Drought Assessment and Monitoring in Southwest Asia, International Water Management Institute."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3489","DOI":"10.1080\/01431169308904459","article-title":"Using remote sensing and Geographic Information Systems for analyzing landscape\/drought interaction","volume":"14","author":"Reed","year":"1993","journal-title":"Int. J. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1080\/10106040008542161","article-title":"The effects of climatic factors on vegetation dynamics of tallgrass and shortgrass cover","volume":"15","author":"Rundquist","year":"2000","journal-title":"GeoCarto Int."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3827","DOI":"10.1080\/01431160010007033","article-title":"Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains","volume":"22","author":"Wang","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/0034-4257(94)90039-6","article-title":"The influence of soil type on the relationships between NDVI, rainfall and soil moisture in semiarid Botswana. II. NDVI response to soil moisture","volume":"50","author":"Farrar","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/0034-4257(87)90040-X","article-title":"Satellite remote sensing of drought conditions","volume":"23","author":"Tucker","year":"1987","journal-title":"Remote Sens. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.rse.2006.06.003","article-title":"A comparative study of NOAA-AVHRR derived drought indices using change vector analysis","volume":"105","author":"Bayarjargal","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_27","first-page":"289","article-title":"Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data","volume":"8","author":"Bhuiyan","year":"2006","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1175\/1520-0477(1997)078<0621:GDWFS>2.0.CO;2","article-title":"Global drought watch from space","volume":"78","author":"Kogan","year":"1997","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s004840050077","article-title":"Using satellite and real-time weather data to predict maize production","volume":"42","author":"Hayes","year":"1998","journal-title":"Int. J. Biometeorol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1405","DOI":"10.1080\/01431169008955102","article-title":"Remote sensing of weather impacts on vegetation in nonhomogeneous areas","volume":"11","author":"Kogan","year":"1990","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","first-page":"71","article-title":"Drought Monitoring with NDVI-Based Standardized Vegetation Index","volume":"68","author":"Peters","year":"2002","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_32","unstructured":"Wilhite, D.A. (2006, January 15\u201318). Drought monitoring, mitigation and preparedness in the U.S.: An end to end approach. Proceedings of the WMO Task Force on Social-Economic Application of Public Weather Services, Geneva, Switzerland."},{"key":"ref_33","unstructured":"WMO (1992). Monitoring, Assessment and Combat of Drought and Desertification, World Meteorological Organization."},{"key":"ref_34","first-page":"22","article-title":"Agricultural Drought-WMO Perspectives","volume":"Volume 1572","author":"Sivakumar","year":"2011","journal-title":"Agricultural Drought Indices, Proceedings of the WMO\/UNISDR Expert Group Meeting on Agricultural Drought Indices"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/j.jhydrol.2013.12.047","article-title":"Combining SMOS with visible and near\/shortwave\/thermal infrared satellite data for high resolution soil moisture estimates","volume":"516","author":"Piles","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0034-4257(03)00174-3","article-title":"Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices","volume":"87","author":"Ji","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.rse.2003.11.009","article-title":"Predicting water content using Gaussian model on soil spectra","volume":"89","author":"Whiting","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"722","DOI":"10.2136\/sssaj2002.7220","article-title":"Moisture effects on soil reflectance","volume":"66","author":"Lobell","year":"2002","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_39","first-page":"36","article-title":"Seasonal comparisons of meteorological and agricultural droughtindices in Morocco using open short time-series data","volume":"26","author":"Ezzine","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_40","unstructured":"Rouse, J.W., Haas, R.H., Shell, J.A., Deering, D.W., and Harlan, J.C. (1974). Monitoring the Vernal Advancement of Retrogradation of Natural Vegetation, Final Report, Type III."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/S0034-4257(96)00067-3","article-title":"NDWI-A Normalized Difference Water Index for remote sensing of vegetation liquid water from space","volume":"58","author":"Gao","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Schwabe, K., Albiac, J., Connor, J.D., Hassan, R.M., and Meza Gonz\u00e1lez, L. (2013). Drought in Arid and Semi-Arid Regions, Springer Netherlands.","DOI":"10.1007\/978-94-007-6636-5"},{"key":"ref_43","unstructured":"AEMet (2011). Iberian Climate Atlas, 1971\u20132000."},{"key":"ref_44","unstructured":"Ninyerola, M., Pons, X., and Roure, J.M. (2005). Atlas Clim\u00e1tico Digital de la Pen\u00ednsula Ib\u00e9rica. Metodolog\u00eda y Aplicaciones en Bioclimatolog\u00eda y Geobot\u00e1nica, Universidad Aut\u00f3noma de Barcelona."},{"key":"ref_45","first-page":"123","article-title":"Long-term SMOS soil moisture products: A comprehensive evaluation across scales and methods in the Duero Basin (Spain)","volume":"83\u201384","author":"Sanchez","year":"2015","journal-title":"Phys. Chem. Earth"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/0273-1177(95)00079-T","article-title":"Application of vegetation index and brightness temperature for drought detection","volume":"11","author":"Kogan","year":"1995","journal-title":"Adv. Space Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2889","DOI":"10.1080\/01431160410001697619","article-title":"Derivation of pasture biomass in Mongolia from AVHRRbased vegetation health indices","volume":"25","author":"Kogan","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1080\/014311697219286","article-title":"Multisensor analysis of NDVI, surface temperature and biophysical variables at a mixed grassland site","volume":"18","author":"Goetz","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/S0034-4257(01)00274-7","article-title":"A simple interpretation of the surface temperature\/vegetation index space for assessment of surface moisture status","volume":"79","author":"Sandholt","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1175\/2009JCLI2900.1","article-title":"Use of NDVI and land surface temperature for drought assessment: Merits and limitations","volume":"23","author":"Karnieli","year":"2010","journal-title":"J. Clim."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"2109","DOI":"10.1080\/01431160120728","article-title":"Rapidly assessing 1997 drought in Papua New Guinea using composite AHVRR imagery","volume":"22","author":"McVicar","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1175\/1520-0450(1993)032<0548:DSDEOS>2.0.CO;2","article-title":"Developing satellite-derived estimates of surface moisture status","volume":"32","author":"Nemani","year":"1993","journal-title":"J. Appl. Meteorol."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"2121","DOI":"10.1080\/01431169408954231","article-title":"Modeling relationship between NDVI and precipitation during vegetative growth cycles","volume":"15","author":"Di","year":"1994","journal-title":"Int. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S2095-3119(13)60216-6","article-title":"Detecting agro-droughts in Southwest of China using MODIS satellite data","volume":"12","author":"Zhang","year":"2013","journal-title":"J. Integr. Agric."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"2893","DOI":"10.5194\/hess-16-2893-2012","article-title":"Towards an integrated soil moisture drought monitor for East Africa","volume":"16","author":"Anderson","year":"2012","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"400","DOI":"10.1016\/j.ecoinf.2010.05.001","article-title":"Estimating root zone soil moisture at distant sites using MODIS NDVI and EVI in a semi-arid region of southwestern USA","volume":"5","author":"Schnur","year":"2010","journal-title":"Ecol. Inform."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/s40333-013-0193-8","article-title":"Index-based assessment of agricultural drought in a semi-arid region of Inner Mongolia, China","volume":"6","author":"Li","year":"2014","journal-title":"J. Arid Land"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Wardlow, B.D., Anderson, M.C., and Verdin, J.P. (2012). Remote Sensing of Drought: Innovative Monitoring Approaches, CRC Press.","DOI":"10.1201\/b11863"},{"key":"ref_59","first-page":"40","article-title":"Improved United States precipitation quality control system and analysis","volume":"Volume 7","author":"Higgins","year":"2000","journal-title":"NCEP\/Climate Prediction Center Atlas"},{"key":"ref_60","unstructured":"WMO (2012). Standardized Precipitation Index. User Guide, World Meteorological Organization."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1002\/joc.1371","article-title":"Appropriate application of the Standardized Precipitation Index in arid locations and dry seasons","volume":"27","author":"Wu","year":"2007","journal-title":"Int. J. Climatol."},{"key":"ref_62","unstructured":"EC-JCR, and European Drought Observatory (EDO) (2014). Drought News 2014, European Drought Observatory."},{"key":"ref_63","unstructured":"EC-JCR (2014). Crop Monitoring in Europe, AGRI4CAST-JRC\/IES MARS Unit."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Gu, Y., Brown, J.F., Verdin, J.P., and Wardlow, B.D. (2007). A five-year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United States. Geophys. Res. Lett., 34.","DOI":"10.1029\/2006GL029127"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1002\/hyp.10150","article-title":"SMOS-derived soil moisture anomalies and drought indices: A comparative analysis using in situ measurements","volume":"29","author":"Scaini","year":"2015","journal-title":"Hydrol. Processes"},{"key":"ref_66","first-page":"907","article-title":"Desert vegetation during droughts: Response and sensitivity","volume":"21","author":"Bhuiyan","year":"2008","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.rse.2016.02.064","article-title":"Satellite soil moisture for agricultural drought monitoring: Assessment of the SMOS derived Soil Water Deficit Index","volume":"177","author":"Gumuzzio","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1175\/1520-0477(2001)082<1949:OSTFGV>2.3.CO;2","article-title":"Operational space technology for global vegetation assessment","volume":"82","author":"Kogan","year":"2001","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_69","first-page":"172","article-title":"Agricultural drought indices: Summary and recommendations","volume":"Volume 1572","author":"Sivakumar","year":"2011","journal-title":"Agricultural Drought Indices, Proceedings of the WMO\/UNISDR Expert Group Meeting on Agricultural Drought Indices"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"16","DOI":"10.2747\/1548-1603.45.1.16","article-title":"The Vegetation Drought Response Index (VegDRI): An integrated approach for monitoring drought stress in vegetation","volume":"45","author":"Brown","year":"2008","journal-title":"GIScience Remote Sens."},{"key":"ref_71","unstructured":"NOAA-National Weather Service, Available online: http:\/\/www.cpc.ncep.noaa.gov\/products\/analysis_monitoring\/cdus\/palmer_drought\/wpdanote.shtml."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/4\/287\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:21:27Z","timestamp":1760210487000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/4\/287"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,29]]},"references-count":71,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2016,4]]}},"alternative-id":["rs8040287"],"URL":"https:\/\/doi.org\/10.3390\/rs8040287","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,29]]}}}