{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T15:55:07Z","timestamp":1773071707827,"version":"3.50.1"},"reference-count":64,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Maritime Awards Society of Canada Graduate Scholarship"},{"name":"NSERC Discovery grants"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The presence of melt ponds on the surface of Arctic Sea ice affects its albedo, thermal properties, and overall melting rate; thus, the detection of melt pond onset is of significant importance for understanding the Arctic\u2019s changing climate. This study investigates the utility of a novel method for detecting the onset of melt ponds on sea ice using a satellite-based, dual-sensor C-band approach, whereby Sentinel-1 provides horizontally polarized (HH) data and Advanced SCATterometer (ASCAT) provides vertically polarized (VV) data. The co-polarized ratio (VV\/HH) is used to detect the presence of melt ponds on landfast sea ice in the Canadian Arctic Archipelago in 2017 and 2018. ERA-5 air temperature and wind speed re-analysis datasets are used to establish the VV\/HH threshold for pond onset detection, which have been further validated by Landsat-8 reflectance. The co-polarized ratio threshold of three standard deviations from the late winter season (April) mean co-pol ratio values are used for assessing pond onset detection associated with the air temperature and wind speed data, along with visual observations from Sentinel-1 and cloud-free Sentinel-2 imagery. In 2017, the pond onset detection rates were 70.59% for FYI and 92.3% for MYI. Results suggest that this method, because of its dual-platform application, has potential for providing large-area coverage estimation of the timing of sea ice melt pond onset using different earth observation satellites.<\/jats:p>","DOI":"10.3390\/rs16122091","type":"journal-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T08:49:03Z","timestamp":1718009343000},"page":"2091","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Detecting Melt Pond Onset on Landfast Arctic Sea Ice Using a Dual C-Band Satellite Approach"],"prefix":"10.3390","volume":"16","author":[{"given":"Syeda Shahida","family":"Maknun","sequence":"first","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7422-5833","authenticated-orcid":false,"given":"Torsten","family":"Geldsetzer","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5133-2676","authenticated-orcid":false,"given":"Vishnu","family":"Nandan","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"},{"name":"Department of Electronics and Communication Engineering, Amrita University, Amritapuri 690525, Kollam, India"},{"name":"Center for Earth Observation Science, University of Manitoba, Winnipeg, MB R3T 5V6, Canada"}]},{"given":"John","family":"Yackel","sequence":"additional","affiliation":[{"name":"Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6874-9048","authenticated-orcid":false,"given":"Mallik","family":"Mahmud","sequence":"additional","affiliation":[{"name":"Department of Geography, McGill University, Montreal, QC H3A 0B9, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2024,6,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"642372","DOI":"10.3389\/fmars.2021.642372","article-title":"An Overview of Ocean Climate Change Indicators: Sea Surface Temperature, Ocean Heat Content, Ocean pH, Dissolved Oxygen Concentration, Arctic Sea Ice Extent, Thickness and Volume, Sea Level and Strength of the AMOC (Atlantic Meridional Overturning Circula","volume":"8","author":"Cheng","year":"2021","journal-title":"Front. Mar. Sci."},{"key":"ref_2","unstructured":"P\u00f6rtner, H.-O., Roberts, D.C., Alegr\u00eda, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N.M. (2022). The Ocean and Cryosphere in a Changing Climate. Special Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Markus, T., Stroeve, J.C., and Miller, J. (2009). Recent changes in Arctic sea ice melt onset, freezeup, and melt season length. J. Geophys. Res. Ocean., 114.","DOI":"10.1029\/2009JC005436"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Maslanik, J., Stroeve, J., Fowler, C., and Emery, W. (2011). Distribution and trends in Arctic sea ice age through spring 2011. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL047735"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1007\/s10584-011-0101-1","article-title":"The Arctic\u2019s rapidly shrinking sea ice cover: A research synthesis","volume":"110","author":"Stroeve","year":"2012","journal-title":"Clim. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"7005","DOI":"10.1029\/2009JC005312","article-title":"Thinning and volume loss of the Arctic Ocean sea ice cover: 2003\u20132008","volume":"114","author":"Kwok","year":"2009","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_7","first-page":"240","article-title":"Sea Ice-Albedo Climate Feedback Mechanism","volume":"8","author":"Curry","year":"1995","journal-title":"Source J. Clim."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"111919","DOI":"10.1016\/j.rse.2020.111919","article-title":"Machine learning approaches to retrieve pan-Arctic melt ponds from visible satellite imagery","volume":"247","author":"Lee","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_9","first-page":"821","article-title":"Observations of melt ponds on Arctic sea ice","volume":"103","author":"Fetterer","year":"2000","journal-title":"J. Geophys. Res"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"SHE 20-1","DOI":"10.1029\/2000JC000438","article-title":"Seasonal evolution of the albedo of multiyear Actic sea ice","volume":"107","author":"Perovich","year":"2002","journal-title":"J. Geophys. Res. C Ocean."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Eicken, H., Grenfell, T.C., Perovich, D.K., Richter-Menge, J.A., and Frey, K. (2004). Hydraulic controls of summer Arctic pack ice albedo. J. Geophys. Res. C Ocean., 109.","DOI":"10.1029\/2003JC001989"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"12262","DOI":"10.1002\/2017GL075547","article-title":"Winter Sentinel-1 Backscatter as a Predictor of Spring Arctic Sea Ice Melt Pond Fraction","volume":"44","author":"Scharien","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"SHE 22-1","DOI":"10.1029\/2000JC000583","article-title":"Tracer studies of pathways and rates of meltwater transport through Arctic summer sea ice","volume":"107","author":"Eicken","year":"2002","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Polashenski, C., Perovich, D., and Courville, Z. (2012). The mechanisms of sea ice melt pond formation and evolution. J. Geophys. Res. Ocean., 117.","DOI":"10.1029\/2011JC007231"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2147","DOI":"10.5194\/tc-8-2147-2014","article-title":"First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR\u2014Part 1: In situ observations","volume":"8","author":"Scharien","year":"2014","journal-title":"Cryosphere"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"22061","DOI":"10.1029\/2000JC900076","article-title":"Melt ponds on sea ice in the Canadian Archipelago: 2. on the use of RADARSAT-1 synthetic aperture radar for geophysical inversion","volume":"105","author":"Yackel","year":"2000","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1551","DOI":"10.5194\/tc-9-1551-2015","article-title":"Melt pond fraction and spectral sea ice albedo retrieval from MERIS data\u2014Part 1: Validation against in situ, aerial, and ship cruise data","volume":"9","author":"Istomina","year":"2015","journal-title":"Cryosphere"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/S0034-4257(03)00124-X","article-title":"Comparison of aerial video and Landsat 7 data over ponded sea ice","volume":"86","author":"Markus","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"431","DOI":"10.5194\/tc-6-431-2012","article-title":"Melt ponds on Arctic sea ice determined from MODIS satellite data using an artificial neural network","volume":"6","author":"Kaleschke","year":"2012","journal-title":"Cryosphere"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2605","DOI":"10.1016\/j.rse.2007.12.009","article-title":"Derivation of melt pond coverage on Arctic sea ice using MODIS observations","volume":"112","author":"Tschudi","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.rse.2015.03.012","article-title":"Algorithm to retrieve the melt pond fraction and the spectral albedo of Arctic summer ice from satellite optical data","volume":"163","author":"Zege","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Han, H., Im, J., Kim, M., Sim, S., Kim, J., Kim, D., and Kang, S.-H. (2016). Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data. Remote Sens., 8.","DOI":"10.3390\/rs8010057"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1175\/1520-0442(2004)017<0067:DOTASI>2.0.CO;2","article-title":"Duration of the Arctic Sea Ice Melt Season: Regional and Interannual Variability, 1979\u20132001","volume":"17","author":"Belchansky","year":"2004","journal-title":"J. Clim."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Scharien, R.K., Yackel, J.J., Barber, D.G., Asplin, M., Gupta, M., and Isleifson, D. (2012). Geophysical controls on C band polarimetric backscatter from melt pond covered Arctic first-year sea ice: Assessment using high-resolution scatterometry. J. Geophys. Res. Ocean., 117.","DOI":"10.1029\/2011JC007353"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Marshall, S., Scott, K.A., and Scharien, R.K. (2019). Passive Microwave Melt Onset Retrieval Based on a Variable Threshold: Assessment in the Canadian Arctic Archipelago. Remote Sens., 11.","DOI":"10.3390\/rs11111304"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Ramjan, S., Geldsetzer, T., Scharien, R., and Yackel, J. (2018). Predicting melt pond fraction on landfast snow covered first year sea ice from winter C-band SAR backscatter utilizing linear, polarimetric and texture parameters. Remote Sens., 10.","DOI":"10.3390\/rs10101603"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Howell, S.E.L., Tivy, A., Yackel, J.J., Else, B.G.T., and Duguay, C.R. (2008). Changing sea ice melt parameters in the Canadian Arctic Archipelago: Implications for the future presence of multiyear ice. J. Geophys. Res. Ocean., 113.","DOI":"10.1029\/2008JC004730"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.rse.2013.11.004","article-title":"Extending the QuikSCAT record of seasonal melt-freeze transitions over Arctic sea ice using ASCAT","volume":"141","author":"Mortin","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_29","first-page":"73","article-title":"SAR and scatterometer signatures of sea ice","volume":"68","author":"Onstott","year":"1992","journal-title":"Geophys. Monogr. Ser."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Schroeder, D. (2021). Arctic sea ice. Climate Change, Elsevier. [3rd ed.].","DOI":"10.1016\/B978-0-12-821575-3.00006-2"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2307","DOI":"10.1109\/JSTARS.2016.2629418","article-title":"Polar Applications of Spaceborne Scatterometers","volume":"10","author":"Long","year":"2017","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.5194\/tc-8-2163-2014","article-title":"First-year sea ice melt pond fraction estimation from dual-polarisation C-band SAR\u2014Part 2: Scaling in situ to Radarsat-2","volume":"8","author":"Scharien","year":"2014","journal-title":"Cryosphere"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Woodhouse, I.H. (2017). Introduction to Microwave Remote Sensing, CRC Press.","DOI":"10.1201\/9781315272573"},{"key":"ref_34","first-page":"2502","article-title":"Polarimetric C-band SAR observations of sea ice in the Greenland Sea","volume":"5","author":"Thomsen","year":"1998","journal-title":"Int. Geosci. Remote Sens. Symp."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"448","DOI":"10.5589\/m04-011","article-title":"Potential of RADARSAT-2 data for operational sea ice monitoring Potential of RADARSAT-2 data for operational sea ice monitoring","volume":"30","author":"Scheuchl","year":"2014","journal-title":"Can. J. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1080\/07038992.2001.10854882","article-title":"Study of Multi-Polarization C-Band Backscatter Signatures for Arctic Sea Ice Mapping with Future Satellite SAR","volume":"27","author":"Nghiem","year":"2001","journal-title":"Can. J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"73","DOI":"10.5589\/m08-075","article-title":"Sea ice type and open water discrimination using dual co-polarized c-band SAR","volume":"35","author":"Geldsetzer","year":"2009","journal-title":"Can. J. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/36.581968","article-title":"Sea Ice Identification Using Dual-Polarized Ku-Band Scatterometer Data","volume":"35","author":"Yueh","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"2483","DOI":"10.1080\/014311697217431","article-title":"Model-based interpretation of ERS-1 SAR images of Arctic sea ice","volume":"18","author":"Beaven","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.rse.2006.10.025","article-title":"Coincident high resolution optical-SAR image analysis for surface albedo estimation of first-year sea ice during summer melt","volume":"111","author":"Scharien","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"112049","DOI":"10.1016\/j.rse.2020.112049","article-title":"Seasonal evolution of L-band SAR backscatter over landfast Arctic sea ice","volume":"251","author":"Mahmud","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Howell, S.E.L., Duguay, C.R., and Markus, T. (2009). Sea ice conditions and melt season duration variability within the Canadian Arctic Archipelago: 1979\u20132008. Geophys. Res. Lett., 36.","DOI":"10.1029\/2009GL037681"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1109\/TGRS.2005.846153","article-title":"On the Utility of SeaWinds\/QuikSCAT Data for the Estimation of the Thermodynamic State of First-Year Sea Ice","volume":"43","author":"Howell","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_44","unstructured":"EUMETSAT (2024, April 01). EUMETSAT ASCAT User Guide; EUMETSAT: Darmstadt, Germany. Available online: https:\/\/www-cdn.eumetsat.int\/files\/2022-12\/ASCAT%20User%20Guide.pdf."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"207","DOI":"10.32614\/RJ-2017-009","article-title":"imputeTS: Time series missing value imputation in R","volume":"9","author":"Moritz","year":"2017","journal-title":"R J."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"6686","DOI":"10.1109\/TGRS.2018.2841343","article-title":"Incidence angle dependence of HH-polarized C- A nd L-band wintertime backscatter over arctic sea ice","volume":"56","author":"Mahmud","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.rse.2019.04.031","article-title":"Estimating melt onset over Arctic sea ice from time series multi-sensor Sentinel-1 and RADARSAT-2 backscatter","volume":"229","author":"Howell","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1999","DOI":"10.1002\/qj.3803","article-title":"The ERA5 global reanalysis","volume":"146","author":"Hersbach","year":"2020","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.rse.2017.06.029","article-title":"Geophysical and atmospheric controls on Ku-, X-and C-band backscatter evolution from a saline snow cover on first-year sea ice from late-winter to pre-early melt","volume":"198","author":"Nandan","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2927","DOI":"10.1109\/TGRS.2005.857896","article-title":"Analysis of Surface Roughness and Morphology of First-Year Sea Ice Melt Ponds: Implications for Microwave Scattering","volume":"43","author":"Scharien","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"755","DOI":"10.5194\/tc-11-755-2017","article-title":"Signature of Arctic first-year ice melt pond fraction in X-band SAR imagery","volume":"11","author":"Fors","year":"2017","journal-title":"Cryosphere"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.rse.2016.03.003","article-title":"Detection of melt onset over the northern Canadian Arctic Archipelago sea ice from RADARSAT, 1997-2014","volume":"178","author":"Mahmud","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1109\/TGRS.2006.890418","article-title":"Observations of Snow Water Equivalent Change on Landfast First-Year Sea Ice in Winter Using Synthetic Aperture Radar Data","volume":"45","author":"Yackel","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_54","first-page":"425","article-title":"Observation of melt onset on multiyear Arctic sea ice using the ERS I synthetic aperture radar","volume":"99","author":"Winebrenner","year":"1994","journal-title":"J. Geophys. Res."},{"key":"ref_55","first-page":"253","article-title":"First-year sea ice spring melt transitions in the Canadian Arctic Archipelago from time-series synthetic aperture radar data, 1992\u20132002","volume":"21","author":"Yackel","year":"2007","journal-title":"Process"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"28397","DOI":"10.1029\/96JC02816","article-title":"Surface and radiative characteristics of the summer Arctic sea ice cover from multisensor satellite observations","volume":"101","author":"Comiso","year":"1996","journal-title":"J. Geophys. Res. C Ocean."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1017\/S003224740001442X","article-title":"Arctic summer sea-ice SAR signatures, melt-season characteristics, and melt-pond fractions","volume":"33","author":"Jeffries","year":"1997","journal-title":"Polar Rec."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Grenfell, T.C., and Perovich, D.K. (2004). Seasonal and spatial evolution of albedo in a snow-ice-land-ocean environment. J. Geophys. Res. Ocean., 109.","DOI":"10.1029\/2003JC001866"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"113920","DOI":"10.1016\/j.rse.2023.113920","article-title":"Inter-comparison of melt pond products from optical satellite imagery","volume":"301","author":"Lee","year":"2024","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.rse.2015.12.021","article-title":"Separability of sea ice types from wide swath C- and L-band synthetic aperture radar imagery acquired during the melt season","volume":"174","author":"Casey","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"2069","DOI":"10.1080\/014311699212353","article-title":"The physical, radiative and microwave scattering characteristics of melt ponds on arctic landfast sea ice","volume":"20","author":"Barber","year":"1999","journal-title":"Int. J. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1109\/TGRS.1987.289815","article-title":"Seasonal and Regional Varations of Active\/Passive Microwave Signatures of Sea Ice","volume":"GE-25","author":"Livingstone","year":"1987","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"25789","DOI":"10.1029\/1999JC900181","article-title":"The role of snow on the thermal dependence of microwave backscatter over sea ice","volume":"104","author":"Barber","year":"1999","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1080\/07055900.2001.9649676","article-title":"On the estimation of spring melt in the North Water polynya using RADARSAT-1","volume":"39","author":"Yackel","year":"2001","journal-title":"Atmos.-Ocean"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2091\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:56:14Z","timestamp":1760108174000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/12\/2091"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,9]]},"references-count":64,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["rs16122091"],"URL":"https:\/\/doi.org\/10.3390\/rs16122091","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,9]]}}}