{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T22:53:29Z","timestamp":1772232809112,"version":"3.50.1"},"reference-count":65,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,5,25]],"date-time":"2019-05-25T00:00:00Z","timestamp":1558742400000},"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>The Mesopotamian marshes are a group of water bodies located in southern Iraq, in the shape of a triangle, with the cities Amarah, Nasiriyah, and Basra located at its corners. The marshes are appropriate habitats for a variety of birds and most of the commercial fisheries in the region. The normalized difference vegetation index (NDVI) has been derived using observations from various satellite sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS), Advanced Very-High-Resolution Radiometer (AVHRR), and Landsat over the Mesopotamian marshlands for the 17-year period between 2002 and 2018. We have chosen this time series (2002\u20132018) to monitor the change in vegetation of the study area since it is considered as a period of rehabilitation for the marshes (following a period when there was little to no water flowing into the marshes). Statistical analyses were performed to monitor the variability of the maximum biomass time (month of June). The results illustrated a strong positive correlation between the NDVI derived from Landsat, MODIS, and AVHRR. The statistical correlations were 0.79, 0.77, and 0.96 between Landsat and AVHRR, MODIS and AVHRR, and Landsat and MODIS, respectively. The linear slope of NDVI (Landsat, MODIS, and AVHRR) for each pixel over the period 2002\u20132018 displays a long-term trend of green biomass (NDVI) change in the study area, and the slope is slightly negative over most of the area. Slope values (\u22120.002 to \u22120.05) denote a slight decrease in the observed vegetation index over 17 years. The green biomass of the marshlands increased by 33.2% of the total area over 17 years. The areas of negative and positive slopes correspond to the same areas in slope map when calculated from Landsat, MODIS, and AVHRR, although they are different in spatial resolution (30 m, 1 km, and 5 km, respectively). The time series of the average NDVI (2002\u20132018) for three different sensors shows the highest and lowest NDVI values during the same years (for the month of June each year). The highest values were 0.19, 0.22, and 0.22 for Landsat, MODIS, and AVHRR, respectively, in 2006, and the lowest values were 0.09, 0.14, and 0.09 for Landsat, MODIS, and AVHRR, respectively, in 2003.<\/jats:p>","DOI":"10.3390\/rs11101245","type":"journal-article","created":{"date-parts":[[2019,5,26]],"date-time":"2019-05-26T23:07:27Z","timestamp":1558912047000},"page":"1245","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Comparison of Normalized Difference Vegetation Index Derived from Landsat, MODIS, and AVHRR for the Mesopotamian Marshes Between 2002 and 2018"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2208-9483","authenticated-orcid":false,"given":"Reyadh","family":"Albarakat","sequence":"first","affiliation":[{"name":"Ocean and Environment, School of Earth, University of South Carolina, Columbia, SC 29208, USA"}]},{"given":"Venkataraman","family":"Lakshmi","sequence":"additional","affiliation":[{"name":"Engineering Systems and Environment, University of Virginia Charlottesville, Charlottesville, VA 22904, USA"}]}],"member":"1968","published-online":{"date-parts":[[2019,5,25]]},"reference":[{"key":"ref_1","first-page":"477","article-title":"Restoring the garden of Eden: An ecological assessment of the marshes of Iraq","volume":"56","author":"Richardson","year":"2006","journal-title":"AIBS Bull."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Albarakat, R., Lakshmi, V., and Tucker, C. (2018). Using Satellite Remote Sensing to Study the Impact of Climate and Anthropogenic Changes in the Mesopotamian Marshlands, Iraq. Remote Sens., 10.","DOI":"10.3390\/rs10101524"},{"key":"ref_3","unstructured":"CIMI (Canada-Iraq Marshlands Initiative) (2010). Managing for Change: The Present and Future State of the Marshes of Southern Iraq."},{"key":"ref_4","first-page":"39","article-title":"Designated protected Marsh within Mesopotamia: Water quality","volume":"1","author":"Douabul","year":"2013","journal-title":"Am. J. Water Resour."},{"key":"ref_5","unstructured":"Partow, H. (2001). The Mesopotamian Marshlands: Demise of an Ecosystem, Division of Early Warning and Assessment, United Nations Environment Programme; UNEP Publication."},{"key":"ref_6","unstructured":"Maltby, E. (1994). An Environmental and Ecological Study of the Marshlands of Mesopotamia Wetland Ecosystem, University of Exeter. AMAR Appeal Trust."},{"key":"ref_7","unstructured":"Vinez, M., and Leonard, S. (2010). The Iraq Marshlands: The Loss of the Garden of Eden and Its People, Illinois State University. PLSI No. 3443."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2111","DOI":"10.1016\/j.rse.2010.04.016","article-title":"Dryland observation at local and regional scale\u2014Comparison of Landsat TM\/ETM+ and NOAA AVHRR time series","volume":"114","author":"Stellmes","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"20666","DOI":"10.1073\/pnas.0704119104","article-title":"The emergence of land change science for global environmental change and sustainability","volume":"104","author":"Turner","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(79)90013-0","article-title":"Red and photographic infrared linear combinations for monitoring vegetation","volume":"8","author":"Tucker","year":"1979","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1080\/01431160701281072","article-title":"Fire severity assessment by using NBR (Normalized Burn Ratio) and NDVI (Normalized Difference Vegetation Index) derived from LANDSAT TM\/ETM images","volume":"29","author":"Escuin","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1787","DOI":"10.1109\/TGRS.2005.860205","article-title":"Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors","volume":"44","author":"Brown","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.rse.2005.08.014","article-title":"Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data","volume":"99","author":"Gallo","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"073599","DOI":"10.1117\/1.JRS.7.073599","article-title":"Comparative analysis of SPOT, Landsat, MODIS, and AVHRR normalized difference vegetation index data on the estimation of leaf area index in a mixed grassland ecosystem","volume":"7","author":"Tong","year":"2013","journal-title":"J. Appl. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1080\/014311697219286","article-title":"Multi-sensor 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_16","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1071\/WF08005","article-title":"Estimation of grassland biophysical parameters using hyperspectral reflectance for fire risk map prediction","volume":"18","author":"Gianelle","year":"2009","journal-title":"Int. J. Wildland Fire"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.3390\/s17061298","article-title":"Comparison and evaluation of annual NDVI time series in China derived from the NOAA AVHRR LTDR and Terra MODIS mod13c1 products","volume":"17","author":"Guo","year":"2017","journal-title":"Sensors"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ecolind.2011.08.011","article-title":"Trend analysis of vegetation dynamics in Qinghai\u2014Tibet Plateau using Hurst Exponent","volume":"14","author":"Peng","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2087","DOI":"10.1109\/TGRS.2012.2217149","article-title":"The variation of land surface phenology from 1982 to 2006 along the Appalachian Trail","volume":"51","author":"Zhao","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4401","DOI":"10.1029\/2002JD002848","article-title":"Interannual variations of monthly and seasonal normalized difference vegetation index (NDVI) in China from 1982 to 1999","volume":"108","author":"Piao","year":"2003","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_21","first-page":"528","article-title":"Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China","volume":"18","author":"Mao","year":"2012","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1007\/s10342-015-0864-4","article-title":"Prediction of forest NPP in Italy by the combination of ground and remote sensing data","volume":"134","author":"Chirici","year":"2015","journal-title":"Eur. J. For. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1007\/s13157-015-0660-4","article-title":"Estimation of mangrove carbon stocks by applying remote sensing and GIS techniques","volume":"35","author":"Patil","year":"2015","journal-title":"Wetlands"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"5263","DOI":"10.1029\/93JD03221","article-title":"Methodology for the estimation of terrestrial net primary production from remotely sensed data","volume":"99","author":"Ruimy","year":"1994","journal-title":"J. Geophys. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"815","DOI":"10.2307\/2845983","article-title":"Global primary production: A remote sensing approach","volume":"22","author":"Prince","year":"1995","journal-title":"J. Biogeogr."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Pedelty, J., Devadiga, S., Masuoka, E., Brown, M., Pinzon, J., Tucker, C., Roy, D.P., Ju, J., Vermote, E.F., and Prince, S.D. (2007, January 23\u201328). Generating a long-term land data record from the AVHRR and MODIS Instruments. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain.","DOI":"10.1109\/IGARSS.2007.4422974"},{"key":"ref_27","first-page":"52","article-title":"A comparative analysis of three longterm NDVI data sets derived from AVHRR satellite data","volume":"4","author":"McCloy","year":"2005","journal-title":"EARSeL eProc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"596","DOI":"10.1016\/j.jaridenv.2005.03.007","article-title":"Analysis of Sahelian vegetation dynamics using NOAA AVHRR NDVI data from 1981\u20132003","volume":"63","author":"Anyamba","year":"2005","journal-title":"J. Arid Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"4927","DOI":"10.1080\/01431160701253279","article-title":"Persistent changes in NDVI between 1982 and 2003 over India using AVHRR GIMMS (Global Inventory Modeling and Mapping Studies) data","volume":"28","author":"Jeyaseelan","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.gloplacha.2008.10.006","article-title":"Regional desertification: A global synthesis","volume":"64","author":"Tottrup","year":"2008","journal-title":"Global Planet Chang."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2371","DOI":"10.1080\/01431160500033682","article-title":"Geographical distribution of global greening trends and their climatic correlates: 1982\u20131998","volume":"26","author":"Xiao","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"L21415","DOI":"10.1029\/2005GL024370","article-title":"Precipitation controls Sahel greening trend","volume":"32","author":"Hickler","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1016\/j.gloenvcha.2005.08.004","article-title":"Recent trends in vegetation dynamics in the African Sahel and their relationship to climate","volume":"15","author":"Herrmann","year":"2005","journal-title":"Global Environ. Chang."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1886","DOI":"10.1016\/j.rse.2009.04.004","article-title":"Evaluation of earth observation based long term vegetation trends\u2014Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS, and SPOT VGT data","volume":"113","author":"Fensholt","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1017\/S0376892906003122","article-title":"Interactions between land use\/land cover change, forest fires and landscape structure in Sierra de Gredos (Central Spain)","volume":"33","author":"Viedma","year":"2006","journal-title":"Environ. Conserv."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2863","DOI":"10.1016\/j.rse.2008.01.018","article-title":"Trend analysis of Landsat-TM and ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece","volume":"112","author":"Udelhoven","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.rse.2007.05.001","article-title":"Using long time series of Landsat data to monitor fire events and post-fire dynamics and identify driving factors","volume":"112","author":"Duguy","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.rse.2007.03.010","article-title":"Trajectory-based change detection for automated characterization of forest disturbance dynamics","volume":"110","author":"Kennedy","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/S0034-4257(03)00145-7","article-title":"Coupling spectral unmixing and trend analysis for monitoring of long-term vegetation dynamics in Mediterranean rangelands","volume":"87","author":"Hostert","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1080\/01431160310001598999","article-title":"Earth observation of vegetation status in the Sahelian and Sudanian West Africa: Comparison of Terra MODIS and NOAA AVHRR satellite data","volume":"25","author":"Fensholt","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1111\/j.1744-697X.2005.00006.x","article-title":"Comparing MODIS vegetation indices with AVHRR NDVI for monitoring the forage quantity and quality in Inner Mongolia grassland, China","volume":"51","author":"Kawamura","year":"2005","journal-title":"Grassl. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.rse.2007.05.008","article-title":"Multiscale geostatistical analysis of AVHRR, SPOT-VGT, and MODIS global NDVI products","volume":"112","author":"Tarnavsky","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"4485","DOI":"10.1080\/01431160500168686","article-title":"An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data","volume":"2","author":"Tucker","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.rse.2004.06.020","article-title":"Comparison of evaporative fractions estimated from AVHRR and MODIS sensors over South Florida","volume":"93","author":"Venturini","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_46","unstructured":"Maxwell, G. (1957). People of the Reeds, Harper. ASIN: B0007DMCTC."},{"key":"ref_47","unstructured":"Young, G. (1977). Return to the Marshes: Life with the Marsh Arabs of Iraq, Collins."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1577\/T06-112.1","article-title":"Relationships between floodplain lake fish communities and environmental variables in a large river-floodplain ecosystem","volume":"137","author":"Lubinski","year":"2008","journal-title":"Trans. Am. Fish Soc."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1080\/00045605009352070","article-title":"The geographic cycle in periglacial regions as it is related to climatic geomorphology","volume":"40","author":"Peltier","year":"1950","journal-title":"Ann. Assoc. Am. Geogr."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1144\/GSL.QJEG.1971.004.03.01","article-title":"Some engineering aspects of rock weathering with field examples from Dartmoor and elsewhere","volume":"4","author":"Fookes","year":"1971","journal-title":"Q. J. Eng. Geol. Hydrogeol."},{"key":"ref_51","unstructured":"Richardson, C.J. (2010). The Status of Mesopotamian Marsh Restoration in Iraq: A Case Study of Transboundary Water Issues and Internal Water Allocation Problems, University of Helsinki. Towards New Solutions in Managing Environmental Crisis."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S0034-4257(01)00296-6","article-title":"A comparison of methods for monitoring multitemporal vegetation change using thematic mapper imagery","volume":"80","author":"Rogan","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_53","first-page":"717","article-title":"Global wetland inventory\u2014Current status and future priorities","volume":"50","author":"Finlayson","year":"1999","journal-title":"Mar. Freshw. Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.rse.2011.10.017","article-title":"Burned area mapping time series in Canada (1984\u20131999) from NOAA-AVHRR LTDR: A comparison with other remote sensing products and fire perimeters","volume":"117","author":"Arbelo","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1109\/LGRS.2009.2024436","article-title":"Intercomparison of AVHRR PAL and LTDR version 2 long-term data sets for Africa from 1982 to 2000 and its impact on mapping burned area","volume":"6","author":"Riano","year":"2009","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"815","DOI":"10.3390\/rs6010815","article-title":"Burned area mapping in the North American boreal forest using Terra-MODIS LTDR (2001\u20132011): A comparison with the MCD45A1, MCD64A1, and BA GEOLAND-2 products","volume":"6","author":"Ruiz","year":"2014","journal-title":"Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Ghulam, A., Kasimu, A., and Kusky, T. (2008, January 7\u201311). Normalization of modified perpendicular drought index using LTDR and GIMMS dataset for drought assessment in the United States. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, USA.","DOI":"10.1109\/IGARSS.2008.4779484"},{"key":"ref_58","unstructured":"Vermote, E. (2018, November 20). Climate Algorithm Theoretical Basis Document (C-ATBD): AVHRR Land Bundle-Surface Reflectance and Normalized Difference Vegetation Index. 2013.f3, Available online: https:\/\/www.ncdc.noaa. gov."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1417","DOI":"10.1080\/01431168608948945","article-title":"Characteristics of maximum-value composite images from temporal avhrr data","volume":"7","author":"Holben","year":"1986","journal-title":"Int. J. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Huete, A., Didan, K., van Leeuwen, W., Miura, T., and Glenn, E. (2010). MODIS vegetation indices. Land Remote Sensing and Global Environmental Change, Springer.","DOI":"10.1007\/978-1-4419-6749-7_26"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/S0034-4257(02)00089-5","article-title":"Atmospheric correction of MODIS data in the visible to middle infrared: First results","volume":"83","author":"Vermote","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_62","unstructured":"NASA ESPA (2018, September 08). Landsat 7 Etm+ Level 2 Landsat 4-7 Surface Reflectance (Ledaps) Product GUIDE USGS Earth Resources Observation and Science (EROS) Center, Sioux Falls, South Dakota, Available online: https:\/\/lpdaac.usgs.gov."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1080\/07900620310001635584","article-title":"Development and management of the Euphrates\u2013Tigris basin","volume":"20","author":"Altinbilek","year":"2004","journal-title":"Int. J. Water Resour. Dev."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"44","DOI":"10.5589\/m06-001","article-title":"A comparison between Terra MODIS and NOAA AVHRR NDVI satellite image composites for the monitoring of natural grassland conditions in Alberta, Canada","volume":"32","author":"Crump","year":"2006","journal-title":"Can. J. Remote Sen."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"2211","DOI":"10.1016\/S0273-1177(03)90544-8","article-title":"Comparison of image data acquired with AVHRR, MODIS, ETM+, and ASTER over Hokkaido, Japan","volume":"32","author":"Tsuchiya","year":"2003","journal-title":"Adv. Space Res."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/10\/1245\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:55:03Z","timestamp":1760187303000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/10\/1245"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,25]]},"references-count":65,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,5]]}},"alternative-id":["rs11101245"],"URL":"https:\/\/doi.org\/10.3390\/rs11101245","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5,25]]}}}