{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T04:57:05Z","timestamp":1773809825984,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T00:00:00Z","timestamp":1618963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["773421"],"award-info":[{"award-number":["773421"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["869471"],"award-info":[{"award-number":["869471"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Austrian Science Fund (FWF)","award":["W 1237 (Doctoral College DK GIScience at the University of Salzburg)"],"award-info":[{"award-number":["W 1237 (Doctoral College DK GIScience at the University of Salzburg)"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Seepage of geological methane through sediments of Arctic lakes might contribute conceivably to the atmospheric methane budget. However, the abundance and precise locations of such seeps are poorly quantified. For Lake Neyto, one of the largest lakes on the Yamal Peninsula in Northwestern Siberia, temporally expanding regions of anomalously low backscatter in C-band SAR imagery acquired in late winter and spring have been suggested to be related to seepage of methane from hydrocarbon reservoirs. However, this hypothesis has not been verified using in-situ observations so far. Similar anomalies have also been identified for other lakes on Yamal, but it is still uncertain whether or how many of them are related to methane seepage. This study aimed to document similar lake ice backscatter anomalies on a regional scale over four study regions (the Yamal Peninsula and Tazovskiy Peninsulas; the Lena Delta in Russia; the National Petroleum Reserve Alaska) during different years using a time series based approach on Google Earth Engine (GEE) that quantifies changes of \u03c30 from the Sentinel-1 C-band SAR sensor over time. An algorithm for assessing the coverage that takes the number of acquisitions and maximum time between acquisitions into account is presented, and differences between the main operating modes of Sentinel-1 are evaluated. Results show that better coverage can be achieved in extra wide swath (EW) mode, but interferometric wide swath (IW) mode data could be useful for smaller study areas and to substantiate EW results. A classification of anomalies on Lake Neyto from EW \u0394\u03c30 images derived from GEE showed good agreement with the classification presented in a previous study. Automatic threshold-based per-lake counting of years where anomalies occurred was tested, but a number of issues related to this approach were identified. For example, effects of late grounding of the ice and anomalies potentially related to methane emissions could not be separated efficiently. Visualizations of \u0394\u03c30 images likely reflect the temporal expansions of anomalies and are expected to be particularly useful for identifying target areas for future field-based research. Characteristic anomalies that clearly resemble the ones observed for Lake Neyto could be identified solely visually in the Yamal and Tazovskiy study regions. All data and algorithms produced in the framework of this study are openly provided to the scientific community for future studies and might potentially aid our understanding of geological lake seepage upon the progression of related field-based studies and corresponding evaluations of formation hypotheses.<\/jats:p>","DOI":"10.3390\/rs13091626","type":"journal-article","created":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T21:25:10Z","timestamp":1619040310000},"page":"1626","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Mapping Arctic Lake Ice Backscatter Anomalies Using Sentinel-1 Time Series on Google Earth Engine"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2539-3827","authenticated-orcid":false,"given":"Georg","family":"Pointner","sequence":"first","affiliation":[{"name":"b.geos, 2100 Korneuburg, Austria"},{"name":"Austrian Polar Research Institute, c\/o Universit\u00e4t Wien, 1010 Vienna, Austria"},{"name":"Department of Geoinformatics\u2014Z_GIS, DK GIScience, Paris Lodron University of Salzburg, 5020 Salzburg, Austria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3737-7931","authenticated-orcid":false,"given":"Annett","family":"Bartsch","sequence":"additional","affiliation":[{"name":"b.geos, 2100 Korneuburg, Austria"},{"name":"Austrian Polar Research Institute, c\/o Universit\u00e4t Wien, 1010 Vienna, Austria"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"12","DOI":"10.3389\/feart.2017.00012","article-title":"Circumpolar Mapping of Ground-Fast Lake Ice","volume":"5","author":"Bartsch","year":"2017","journal-title":"Front. Earth Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1038\/ngeo1480","article-title":"Geologic methane seeps along boundaries of Arctic permafrost thaw and melting glaciers","volume":"5","author":"Anthony","year":"2012","journal-title":"Nat. Geosci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1038\/ngeo2578","article-title":"Climate-sensitive northern lakes and ponds are critical components of methane release","volume":"9","author":"Wik","year":"2016","journal-title":"Nat. Geosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1126\/science.1196808","article-title":"Freshwater Methane Emissions Offset the Continental Carbon Sink","volume":"331","author":"Bastviken","year":"2011","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Bastviken, D., Cole, J., Pace, M., and Tranvik, L. (2004). Methane emissions from lakes: Dependence of lake characteristics, two regional assessments, and a global estimate. Glob. Biogeochem. Cycles, 18.","DOI":"10.1029\/2004GB002238"},{"key":"ref_6","first-page":"1657","article-title":"Methane bubbling from northern lakes: Present and future contributions to the global methane budget","volume":"365","author":"Walter","year":"2007","journal-title":"Philos. Trans. R. Soc. Math. Phys. Eng. Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1111\/j.1752-1688.2007.00163.x","article-title":"The Potential Use of Synthetic Aperture Radar for Estimating Methane Ebullition From Arctic Lakes","volume":"44","author":"Walter","year":"2008","journal-title":"JAWRA J. Am. Water Resour. Assoc."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1038\/ngeo2795","article-title":"Methane emissions proportional to permafrost carbon thawed in Arctic lakes since the 1950s","volume":"9","author":"Anthony","year":"2016","journal-title":"Nat. Geosci."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wik, M., Crill, P.M., Bastviken, D., Danielsson, \u00c5., and Norb\u00e4ck, E. (2011). Bubbles trapped in arctic lake ice: Potential implications for methane emissions. J. Geophys. Res. Biogeosci., 116.","DOI":"10.1029\/2011JG001761"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"667","DOI":"10.5589\/m12-054","article-title":"Synthetic aperture radar (SAR) backscatter response from methane ebullition bubbles trapped by thermokarst lake ice","volume":"38","author":"Engram","year":"2013","journal-title":"Can. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1038\/s41558-020-0762-8","article-title":"Remote sensing northern lake methane ebullition","volume":"10","author":"Engram","year":"2020","journal-title":"Nat. Clim. Chang."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1038\/s41561-019-0526-0","article-title":"Carbon release through abrupt permafrost thaw","volume":"13","author":"Turetsky","year":"2020","journal-title":"Nat. Geosci."},{"key":"ref_13","first-page":"4","article-title":"Remote identification of areas of surface gas and gas emissions in the Arctic: Yamal Peninsula","volume":"3","author":"Bogoyavlensky","year":"2016","journal-title":"Arct. Ecol. Econ."},{"key":"ref_14","first-page":"83","article-title":"Technologies for Remote Detection and Monitoring of the Earth Degassing in the Arctic: Yamal Peninsula, Neito Lake","volume":"2","author":"Bogoyavlensky","year":"2018","journal-title":"Arct. Ecol. Econ."},{"key":"ref_15","first-page":"31","article-title":"Earth degassing in the Artic: Remote and field studies of the thermokarst lakes gas eruption","volume":"2","author":"Bogoyavlensky","year":"2019","journal-title":"Arct. Ecol. Econ."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Chuvilin, E., Ekimova, V., Davletshina, D., Sokolova, N., and Bukhanov, B. (2020). Evidence of Gas Emissions from Permafrost in the Russian Arctic. Geosciences, 10.","DOI":"10.3390\/geosciences10100383"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"6133","DOI":"10.3390\/rs70506133","article-title":"Ice Freeze-up and Break-up Detection of Shallow Lakes in Northern Alaska with Spaceborne SAR","volume":"7","author":"Surdu","year":"2015","journal-title":"Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Duguay, C.R., and Pietroniro, A. (2005). Remote Sensing in Northern Hydrology: Measuring Environmental Change. Wash. DC Am. Geophys. Union Geophys. Monogr. Ser., 163.","DOI":"10.1029\/GM163"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Antonova, S., Duguay, C.R., K\u00e4\u00e4b, A., Heim, B., Langer, M., Westermann, S., and Boike, J. (2016). Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series. Remote Sens., 8.","DOI":"10.3390\/rs8110903"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1080\/01431160304992","article-title":"Determining depth and ice thickness of shallow sub-Arctic lakes using space-borne optical and SAR data","volume":"24","author":"Duguay","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.rse.2018.02.022","article-title":"Analyzing floating and bedfast lake ice regimes across Arctic Alaska using 25 years of space-borne SAR imagery","volume":"209","author":"Engram","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_22","first-page":"63","article-title":"Mapping lakes for winter liquid water availability using SAR on the North Slope of Alaska","volume":"27","author":"Grunblatt","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"167","DOI":"10.5194\/tc-8-167-2014","article-title":"Response of ice cover on shallow lakes of the North Slope of Alaska to contemporary climate conditions (1950\u20132011): Radar remote-sensing and numerical modeling data analysis","volume":"8","author":"Surdu","year":"2014","journal-title":"Cryosphere"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1631","DOI":"10.1002\/hyp.1026","article-title":"RADARSAT backscatter characteristics of ice growing on shallow sub-Arctic lakes, Churchill, Manitoba, Canada","volume":"16","author":"Duguay","year":"2002","journal-title":"Hydrol. Process."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"5972","DOI":"10.1109\/TGRS.2015.2429917","article-title":"Microwave Backscatter From Arctic Lake Ice and Polarimetric Implications","volume":"53","author":"Atwood","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"2887","DOI":"10.1109\/TGRS.2017.2786158","article-title":"Observing Scattering Mechanisms of Bubbled Freshwater Lake Ice Using Polarimetric RADARSAT-2 (C-Band) and UW-Scat (X- and Ku-Bands)","volume":"56","author":"Gunn","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.5194\/tc-15-1907-2021","article-title":"Mapping potential signs of gas emissions in ice of Lake Neyto, Yamal, Russia, using synthetic aperture radar and multispectral remote sensing data","volume":"15","author":"Pointner","year":"2021","journal-title":"Cryosphere"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1553\/giscience2020_01_s47","article-title":"Interannual Variability of Lake Ice Backscatter Anomalies on Lake Neyto, Yamal, Russia","volume":"8","author":"Pointner","year":"2020","journal-title":"GI_Forum J."},{"key":"ref_29","unstructured":"(2020). Interactive comment on \u201cMapping potential signs of gas emissions in ice of lake Neyto, Yamal, Russia using synthetic aperture radar and multispectral remote sensing data\u201d by Georg Pointner et al.. Cryosphere Discuss, Available online: https:\/\/tc.copernicus.org\/preprints\/tc-2020-226\/tc-2020-226-RC2.pdf."},{"key":"ref_30","first-page":"012022","article-title":"Preliminary data on the methane emission from lake seeps of the Western Siberia permafrost zone","volume":"Volume 606","author":"Kazantsev","year":"2020","journal-title":"IOP Conference Series: Earth and Environmental Science, Climate Change: Causes, Risks, Consequences, Problems of Adaptation and Management, Moscow, Russia, 26\u201328 November 2019"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_32","first-page":"52","article-title":"Earth Degassing in the Arctic: Comprehensive Studies of the Distribution of Frost Mounds and Thermokarst Lakes with Gas Blowout Craters on the Yamal Peninsula","volume":"4","author":"Bogoyavlensky","year":"2019","journal-title":"Arct. Ecol. Econ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"832","DOI":"10.1080\/01431161.2018.1519281","article-title":"The role of lake size and local phenomena for monitoring ground-fast lake ice","volume":"40","author":"Pointner","year":"2019","journal-title":"Int. J. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1002\/ppp.430","article-title":"High-resolution seismic and ground penetrating radar\u2013geophysical profiling of a thermokarst lake in the western Lena Delta, Northern Siberia","volume":"13","author":"Schwamborn","year":"2002","journal-title":"Permafr. Periglac. Process."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1007\/s10933-012-9650-1","article-title":"Late Holocene thermokarst variability inferred from diatoms in a lake sediment record from the Lena Delta, Siberian Arctic","volume":"49","author":"Biskaborn","year":"2013","journal-title":"J. Paleolimnol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"65","DOI":"10.3189\/2013AoG62A037","article-title":"Observing lake-and river-ice decay with SAR: Advantages and limitations of the unsupervised k-means classification approach","volume":"54","author":"Sobiech","year":"2013","journal-title":"Ann. Glaciol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"977","DOI":"10.5194\/bg-12-977-2015","article-title":"Frozen ponds: Production and storage of methane during the Arctic winter in a lowland tundra landscape in northern Siberia, Lena River delta","volume":"12","author":"Langer","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Abnizova, A., Siemens, J., Langer, M., and Boike, J. (2012). Small ponds with major impact: The relevance of ponds and lakes in permafrost landscapes to carbon dioxide emissions. Glob. Biogeochem. Cycles, 26.","DOI":"10.1029\/2011GB004237"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"4069","DOI":"10.1029\/JC083iC08p04069","article-title":"Differences in radar return from ice-covered North Slope Lakes","volume":"83","author":"Weeks","year":"1978","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"22459","DOI":"10.1029\/94JC01479","article-title":"Structural and stratigraphie features and ERS 1 synthetic aperture radar backscatter characteristics of ice growing on shallow lakes in NW Alaska, winter 1991\u20131992","volume":"99","author":"Jeffries","year":"1994","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"367","DOI":"10.14430\/arctic1212","article-title":"A Method to Determine Lake Depth and Water Availability on the North Slope of Alaska With Spaceborne Imaging Radar and Numerical Ice Growth Modelling","volume":"49","author":"Jeffries","year":"1996","journal-title":"Arctic"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2422","DOI":"10.1002\/hyp.8019","article-title":"Hydrogeomorphic processes of thermokarst lakes with grounded-ice and floating-ice regimes on the Arctic coastal plain, Alaska","volume":"25","author":"Arp","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"L16503","DOI":"10.1029\/2012GL052518","article-title":"Shifting balance of thermokarst lake ice regimes across the Arctic Coastal Plain of northern Alaska","volume":"39","author":"Arp","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Duguay, C., and Wang, J. (August, January 28). Advancement in bedfast lake ice mapping from Sentinel-1 SAR data. Proceedings of the IGARSS 2019\u20132019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan.","DOI":"10.1109\/IGARSS.2019.8900650"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"146","DOI":"10.1002\/ppp.2014","article-title":"Gas-emission craters of the Yamal and Gydan peninsulas: A proposed mechanism for lake genesis and development of permafrost landscapes","volume":"30","author":"Dvornikov","year":"2019","journal-title":"Permafr. Periglac. Process."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Kizyakov, A., Leibman, M., Zimin, M., Sonyushkin, A., Dvornikov, Y., Khomutov, A., Dhont, D., Cauquil, E., Pushkarev, V., and Stanilovskaya, Y. (2020). Gas Emission Craters and Mound-Predecessors in the North of West Siberia, Similarities and Differences. Remote Sens., 12.","DOI":"10.3390\/rs12142182"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Kizyakov, A., Zimin, M., Sonyushkin, A., Dvornikov, Y., Khomutov, A., and Leibman, M. (2017). Comparison of Gas Emission Crater Geomorphodynamics on Yamal and Gydan Peninsulas (Russia), Based on Repeat Very-High-Resolution Stereopairs. Remote Sens., 9.","DOI":"10.3390\/rs9101023"},{"key":"ref_48","first-page":"68","article-title":"New permafrost feature: Deep crater in Central Yamal, West Siberia, Russia as a response to local climate fluctuations","volume":"7","author":"Leibman","year":"2014","journal-title":"Geogr. Environ. Sustain."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1126\/science.aab3574","article-title":"Profiling risk and sustainability in coastal deltas of the world","volume":"349","author":"Tessler","year":"2015","journal-title":"Science"},{"key":"ref_50","unstructured":"European Space Agency (2012). Sentinel-1: ESA\u2019s Radar Observatory Mission for GMES Operational Services, European Space Agency Communications."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Pointner, G., and Bartsch, A. (2021). Supplement to the manuscript \u201cMapping Arctic Lake Ice Backscatter Anomalies using Sentinel-1 Time Series on Google Earth Engine\u201d submitted to \u201cRemote Sensing\u201d (Version 1) [Data set]. Zenodo.","DOI":"10.3390\/rs13091626"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Theil, H. (1992). A rank-invariant method of linear and polynomial regression analysis. Henri Theil\u2019s Contributions to Economics and Econometrics, Springer.","DOI":"10.1007\/978-94-011-2546-8_20"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the regression coefficient based on Kendall\u2019s tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Fujisada, H., Urai, M., and Iwasaki, A. (2018). Technical Methodology for ASTER Global Water Body Data Base. Remote Sens., 10.","DOI":"10.20944\/preprints201810.0062.v1"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"GDAL\/OGR Contributors (2020). GDAL\/OGR Geospatial Data Abstraction Software Library, Open Source Geospatial Foundation.","DOI":"10.22224\/gistbok\/2020.4.1"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","article-title":"Array programming with NumPy","volume":"585","author":"Harris","year":"2020","journal-title":"Nature"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"e453","DOI":"10.7717\/peerj.453","article-title":"scikit-image: Image processing in Python","volume":"2","author":"Boulogne","year":"2014","journal-title":"PeerJ"},{"key":"ref_59","unstructured":"Jordahl, K., den Bossche, J.V., Fleischmann, M., Wasserman, J., McBride, J., Gerard, J., Tratner, J., Perry, M., Badaracco, A.G., and Farmer, C. (2021, April 20). Geopandas\/Geopandas: V0.8.1. Available online: https:\/\/zenodo.org\/record\/3946761#.YHzqKT8RVPY."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/83.366472","article-title":"A new criterion for automatic multilevel thresholding","volume":"4","author":"Yen","year":"1995","journal-title":"IEEE Trans. Image Process."},{"key":"ref_61","unstructured":"Sudmanns, M., Tiede, D., and Augustin, H. (2019). The Greenland-Paradox: Time Series Analyses in the Big Earth Observation Data Era. EARSeL Symposium 2019: Digtal Earth Observation, Faculty of Natural Sciences, University of Salzburg."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1626\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:50:47Z","timestamp":1760161847000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/9\/1626"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,21]]},"references-count":61,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2021,5]]}},"alternative-id":["rs13091626"],"URL":"https:\/\/doi.org\/10.3390\/rs13091626","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,21]]}}}