{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T16:20:03Z","timestamp":1769962803105,"version":"3.49.0"},"reference-count":60,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,5,11]],"date-time":"2022-05-11T00:00:00Z","timestamp":1652227200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Agence Nationale de la Recherche (ANR)","award":["ES\/R010404\/1"],"award-info":[{"award-number":["ES\/R010404\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Highlighting spatiotemporal changes occurring within mangrove habitats at the finest possible scale could contribute fundamental knowledge and data for local sustainable management. This study presents the current situation of the Pichavaram mangrove area, a coastal region of Southeast India prone to both cyclones and reduced freshwater inflow. Based on the supervised classification and visual inspection of very high spatial resolution (VHSR) satellite images provided with a pixel size of &lt;4 m, we generated time-series maps to analyze the changes that occurred in both the natural and planted mangroves between 2003 and 2019. We achieved a high mapping accuracy (&gt;85%), which confirmed the potential of classification techniques applied to VHSR images in capturing changes in mangroves on a very fine scale. Our diagnosis reveals variable expansion rates in plantations made by the local authorities. We also report an ongoing mangrove dieback and confirm progressive shoreline erosion along the coastline. Despite a lack of field data, VHSR images allowed for the multiscale diagnosis of the ecosystem situation, thus constituting the first fine-scale assessment of the fragile Pichavaram mangrove area upon which the coastal community is dependent.<\/jats:p>","DOI":"10.3390\/rs14102317","type":"journal-article","created":{"date-parts":[[2022,5,12]],"date-time":"2022-05-12T23:08:36Z","timestamp":1652396916000},"page":"2317","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Multiscale Diagnosis of Mangrove Status in Data-Poor Context Using Very High Spatial Resolution Satellite Images: A Case Study in Pichavaram Mangrove Forest, Tamil Nadu, India"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3782-3524","authenticated-orcid":false,"given":"Shuvankar","family":"Ghosh","sequence":"first","affiliation":[{"name":"French Institute of Pondicherry, Pondicherry 605001, India"},{"name":"Iora Ecological Solutions Pvt. Ltd., New Delhi 110030, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6718-863X","authenticated-orcid":false,"given":"Christophe","family":"Proisy","sequence":"additional","affiliation":[{"name":"French Institute of Pondicherry, Pondicherry 605001, India"},{"name":"AMAP, University Montpellier, IRD, CNRS, INRAE, 34000 Montpellier, France"},{"name":"AMAP, Centre IRD de Cayenne, 97300 Cayenne, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9552-7259","authenticated-orcid":false,"given":"Gowrappan","family":"Muthusankar","sequence":"additional","affiliation":[{"name":"French Institute of Pondicherry, Pondicherry 605001, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1909-1726","authenticated-orcid":false,"given":"Christiane","family":"Hassenr\u00fcck","sequence":"additional","affiliation":[{"name":"Leibniz Centre for Tropical Marine Research (ZMT), 28359 Bremen, Germany"},{"name":"Leibniz Institute for Baltic Sea Research Warnem\u00fcnde (IOW), 18119 Rostock, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5923-5291","authenticated-orcid":false,"given":"V\u00e9ronique","family":"Helfer","sequence":"additional","affiliation":[{"name":"Leibniz Centre for Tropical Marine Research (ZMT), 28359 Bremen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1778-1080","authenticated-orcid":false,"given":"Rapha\u00ebl","family":"Mathevet","sequence":"additional","affiliation":[{"name":"French Institute of Pondicherry, Pondicherry 605001, India"},{"name":"CEFE, University Montpellier, CNRS, EPHE, IRD, 34090 Montpellier, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0031-1672","authenticated-orcid":false,"given":"Julien","family":"Andrieu","sequence":"additional","affiliation":[{"name":"French Institute of Pondicherry, Pondicherry 605001, India"},{"name":"ESPACE, University Cote d\u2019Azur, 06103 Nice, France"}]},{"given":"Natesan","family":"Balachandran","sequence":"additional","affiliation":[{"name":"French Institute of Pondicherry, Pondicherry 605001, India"}]},{"given":"Rajendran","family":"Narendran","sequence":"additional","affiliation":[{"name":"Centre of Advanced Study in Marine Biology, Faculty of Marine Science, Annamalai University, Parangipettai 608002, India"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ellison, J.C. (2019). Biogeomorphology of Mangroves, Elsevier.","DOI":"10.1016\/B978-0-444-63893-9.00020-4"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1111\/geb.12409","article-title":"Scaling mangrove aboveground biomass from site-level to continental-scale","volume":"25","author":"Rovai","year":"2016","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Bunting, P., Rosenqvist, A., Hilarides, L., Lucas, R.M., and Thomas, N. (2022). Global Mangrove Watch: Updated 2010 Mangrove Forest Extent (v2.5). Remote Sens., 14.","DOI":"10.3390\/rs14041034"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1126\/science.317.5834.41b","article-title":"A world without mangroves?","volume":"317","author":"Duke","year":"2007","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1111\/j.1466-8238.2010.00584.x","article-title":"Status and distribution of mangrove forests of the world using earth observation satellite data","volume":"20","author":"Giri","year":"2011","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Spalding, M. (2010). World Atlas of Mangroves, Routledge. [1st ed.].","DOI":"10.4324\/9781849776608"},{"key":"ref_7","unstructured":"Spalding, M.D., Blasco, F., and Field, C.D. (1997). World Mangrove Atlas, The International Society for Mangrove Ecosystems. Available online: http:\/\/www.archive.org\/details\/worldmangroveatl97spal."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Thomas, N., Lucas, R., Bunting, P., Hardy, A., Rosenqvist, A., and Simard, M. (2017). Distribution and drivers of global mangrove forest change, 1996\u20132010. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0179302"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1641\/0006-3568(2001)051[0807:MFOOTW]2.0.CO;2","article-title":"Mangrove forests: One of the world\u2019s threatened major tropical environments","volume":"51","author":"Valiela","year":"2001","journal-title":"BioScience"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"729","DOI":"10.1111\/geb.12449","article-title":"Creation of a high spatio-temporal resolution global database of continuous mangrove forest cover for the 21st century (CGMFC-21)","volume":"25","author":"Hamilton","year":"2016","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"5844","DOI":"10.1111\/gcb.15275","article-title":"Global declines in human-driven mangrove loss","volume":"26","author":"Goldberg","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.jenvman.2014.01.020","article-title":"Distribution and dynamics of mangrove forests of South Asia","volume":"148","author":"Giri","year":"2015","journal-title":"J. Environ. Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1073\/pnas.1510272113","article-title":"Rates and drivers of mangrove deforestation in Southeast Asia, 2000\u20132012","volume":"113","author":"Richards","year":"2016","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"519","DOI":"10.1111\/j.1365-2699.2007.01806.x","article-title":"Mangrove forest distributions and dynamics (1975\u20132005) of the tsunami-affected region of Asia","volume":"35","author":"Giri","year":"2008","journal-title":"J. Biogeogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"106300","DOI":"10.1016\/j.ecss.2019.106300","article-title":"Impact of deforestation on mangrove tree diversity, biomass and community dynamics in the Segara Anakan lagoon, Java, Indonesia: A ten-year perspective","volume":"227","author":"Nordhaus","year":"2019","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.ecoser.2017.06.013","article-title":"Neglected ecosystem services: Highlighting the socio-cultural perception of mangroves in decision-making processes","volume":"26","author":"Queiroz","year":"2017","journal-title":"Ecosyst. Serv."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1016\/j.marpolbul.2016.03.006","article-title":"Stress in mangrove forests: Early detection and preemptive rehabilitation are essential for future successful worldwide mangrove forest management","volume":"109","author":"Lewis","year":"2016","journal-title":"Mar. Pollut. Bull."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.marpolbul.2017.05.056","article-title":"Monitoring mangrove forests after aquaculture abandonment using time series of very high spatial resolution satellite images: A case study from the Perancak estuary, Bali, Indonesia","volume":"131","author":"Proisy","year":"2018","journal-title":"Mar. Pollut. Bull."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"111223","DOI":"10.1016\/j.rse.2019.111223","article-title":"A review of remote sensing for mangrove forests: 1956\u20132018","volume":"231","author":"Wang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1002\/rse2.105","article-title":"Improved assessment of mangrove forests in Sundarbans East Wildlife Sanctuary using WorldView 2 and TanDEM-X high resolution imagery","volume":"5","author":"Rahman","year":"2019","journal-title":"Remote Sens. Ecol. Conserv."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1582","DOI":"10.2112\/07-0987.1","article-title":"Using High Resolution Satellite Imagery to Map Black Mangrove on the Texas Gulf Coast","volume":"2008","author":"Everitt","year":"2008","journal-title":"J. Coast. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1080\/14498596.2008.9635137","article-title":"Mangrove species and stand mapping in Gazi bay (Kenya) using Quickbird satellite imagery","volume":"53","author":"Neukermans","year":"2008","journal-title":"J. Spat. Sci."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.ecoleng.2008.01.007","article-title":"Applying remote sensing techniques to monitor shifting wetland vegetation: A case study of Danshui River estuary mangrove communities, Taiwan","volume":"35","author":"Lee","year":"2009","journal-title":"Ecol. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.rse.2004.04.005","article-title":"Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama","volume":"91","author":"Wang","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Proisy, C., F\u00e9ret, J.-B., Lauret, N., and Gastellu-Etchegorry, J.-P. (2016). Mangrove Forest Dynamics Using Very High Spatial Resolution Optical Remote Sensing, Elsevier.","DOI":"10.1016\/B978-1-78548-160-4.50007-8"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.rse.2007.01.009","article-title":"Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images","volume":"109","author":"Proisy","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Taureau, F., Robin, M., Proisy, C., Fromard, F., Imbert, D., and Debaine, F. (2019). Mapping the Mangrove Forest Canopy Using Spectral Unmixing of Very High Spatial Resolution Satellite Images. Remote Sens., 11.","DOI":"10.3390\/rs11030367"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Wang, T., Zhang, H., Lin, H., and Fang, C. (2016). Textural\u2013spectral feature-based species classification of mangroves in Mai Po Nature Reserve from Worldview-3 imagery. Remote Sens., 8.","DOI":"10.3390\/rs8010024"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Proisy, C., Walcker, R., Blanchard, E., Gardel, A., and Anthony, E.J. (2021). Mangroves: A Natural Early Warning System of Erosion on Open Muddy Coasts in French Guiana, Elsevier.","DOI":"10.1016\/B978-0-12-816437-2.00011-2"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1080\/10106049.2011.591943","article-title":"The dynamics in the distribution of mangrove forests in Pichavaram, South India\u2014Perception by user community and remote sensing","volume":"26","author":"Gnanappazham","year":"2011","journal-title":"Geocarto Int."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"3153","DOI":"10.1080\/01431160701420597","article-title":"Using remote sensing to assess the protective role of coastal woody vegetation against tsunami waves","volume":"28","author":"Olwig","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_32","first-page":"794","article-title":"Assessment of community-based restoration of Pichavaram mangrove wetland using remote sensing data","volume":"85","author":"Selvam","year":"2003","journal-title":"Curr. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Vani, M., and Rama Chandra Prasad, P. (2018). Geospatial Assessment of Spatio-Temporal Changes in Mangrove Vegetation of Pichavaram Region, Tamil Nadu, India, Springer International Publishing.","DOI":"10.1007\/978-3-319-73016-5_5"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s11056-019-09713-0","article-title":"Restoring forests: Regeneration and ecosystem function for the future","volume":"50","author":"Madsen","year":"2019","journal-title":"New For."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"180214","DOI":"10.1038\/sdata.2018.214","article-title":"Present and future K\u00f6ppen-Geiger climate classification maps at 1-km resolution","volume":"5","author":"Beck","year":"2018","journal-title":"Sci. Data"},{"key":"ref_36","unstructured":"Selvam, V., Ravichandaran, K.K., Karunakaran, V.M., Mani, K.G., Beula, E.J., and Gnanappazham, L. (2010). Pichavaram Mangrove Wetland: Situation Analysis, MS Swaminathan Research Foundation."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s11852-014-0313-4","article-title":"The Coleroon river flow and its effect on the Pichavaram mangrove ecosystem","volume":"18","author":"Sathyanathan","year":"2014","journal-title":"J. Coast. Conserv."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1023\/A:1004085417093","article-title":"A review of studies on Pichavaram mangrove, southeast India","volume":"430","author":"Kathiresan","year":"2000","journal-title":"Hydrobiologia"},{"key":"ref_39","first-page":"15","article-title":"Stakeholder Preference, Dependence and Attitude towards Conservation of Mangrove Eco-System in South-East Coast of India","volume":"2","author":"Sathya","year":"2014","journal-title":"Innovare J. Soc. Sci."},{"key":"ref_40","unstructured":"Kuester, M.A. (2022, April 01). Absolute Radiometric Calibration: 2016 v0, Digital Globe. Available online: https:\/\/dgv4-cms-production.s3.amazonaws.com\/uploads\/document\/file\/136\/ABSRADCAL_FLEET_2016v0_Rel20170606.pdf."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1109\/TGRS.2004.837325","article-title":"Results and implications of a study of fifteen years of satellite image classification experiments","volume":"43","author":"Wilkinson","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_42","first-page":"1551","article-title":"Globally threatened mangrove species in India","volume":"98","author":"Kathiresan","year":"2010","journal-title":"Curr. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1046\/j.1365-2400.2002.00306.x","article-title":"Fishery resources and economic gain in three mangrove areas on the south-east coast of India","volume":"9","author":"Kathiresan","year":"2002","journal-title":"Fish. Manag. Ecol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3680","DOI":"10.1109\/JSTARS.2016.2553170","article-title":"Multitemporal analysis of high spatial resolution satellite imagery for mangrove species mapping, Bali, Indonesia","volume":"9","author":"Viennois","year":"2016","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"ref_45","first-page":"966","article-title":"Sea-level-rise trends off the Indian coasts during the last two decades","volume":"108","author":"Unnikrishnan","year":"2015","journal-title":"Curr. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.ecss.2018.08.016","article-title":"Spatial and temporal changes in mangrove cover across the protected and unprotected forests of India","volume":"213","author":"Jayanthi","year":"2018","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_47","unstructured":"Senthalir, S. (2022, April 01). Shrimp Farms Threatening Pichavaram Forest. The Hindu, Available online: https:\/\/www.thehindu.com\/news\/cities\/puducherry\/shrimp-farms-threatening-pichavaram-forest\/article19453172.ece."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1007\/s12040-012-0215-5","article-title":"Vegetation history and salinity gradient during the last 3700 years in Pichavaram estuary, India","volume":"121","author":"Srivastava","year":"2012","journal-title":"J. Earth Syst. Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.aquabot.2008.03.010","article-title":"Functionality of restored mangroves: A review","volume":"89","author":"Bosire","year":"2008","journal-title":"Aquat. Bot."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.ecoleng.2010.11.025","article-title":"Mangrove restoration without planting","volume":"37","author":"Kamali","year":"2011","journal-title":"Ecol. Eng."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"106660","DOI":"10.1016\/j.ecss.2020.106660","article-title":"The role of multiple stressors in a dwarf red mangrove (Rhizophora mangle) dieback","volume":"237","author":"Rossi","year":"2020","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4003","DOI":"10.1038\/s41467-021-24253-y","article-title":"Storm surge and ponding explain mangrove dieback in southwest Florida following Hurricane Irma","volume":"12","author":"Lagomasino","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1016\/j.scitotenv.2018.02.068","article-title":"Extreme weather impacts on tropical mangrove forests in the Eastern Brazil Marine Ecoregion","volume":"628\u2013629","author":"Servino","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"4707","DOI":"10.5194\/bg-17-4707-2020","article-title":"Reconstructing extreme climatic and geochemical conditions during the largest natural mangrove dieback on record","volume":"17","author":"Sippo","year":"2020","journal-title":"Biogeosciences"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1680","DOI":"10.1038\/s41598-017-01927-6","article-title":"Mangrove dieback during fluctuating sea levels","volume":"7","author":"Lovelock","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1816","DOI":"10.1071\/MF16322","article-title":"Large-scale dieback of mangroves in Australia\u2019s Gulf of Carpentaria: A severe ecosystem response, coincidental with an unusually extreme weather event","volume":"68","author":"Duke","year":"2017","journal-title":"Mar. Freshw. Res."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1016\/j.marpolbul.2004.10.040","article-title":"Herbicides implicated as the cause of severe mangrove dieback in the Mackay region, NE Australia: Consequences for marine plant habitats of the GBR World Heritage Area","volume":"51","author":"Duke","year":"2005","journal-title":"Mar. Pollut Bull."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"74","DOI":"10.33002\/nr2581.6853.03045","article-title":"Wetlands for a sustainable urban future: Insights from Pondicherry, South India","volume":"3","author":"Mathevet","year":"2020","journal-title":"Grassroots J. Nat. Resour."},{"key":"ref_59","unstructured":"Prasad, S. (2022, April 01). Hunt for Hydrocarbons Could Sink Pichavaram, Fear Activists. The Hindu, Available online: https:\/\/www.thehindu.com\/news\/cities\/puducherry\/hunt-for-hydrocarbons-could-sink-pichavaram-fear-activists\/article27891952.ece."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"341","DOI":"10.3406\/bagf.2006.2520","article-title":"From conservation biology to conservation geography","volume":"83","author":"Mathevet","year":"2006","journal-title":"Bull. L\u2019assoc. G\u00e9ogr. Fr."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2317\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:09:06Z","timestamp":1760137746000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2317"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,11]]},"references-count":60,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["rs14102317"],"URL":"https:\/\/doi.org\/10.3390\/rs14102317","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,11]]}}}