{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T07:51:21Z","timestamp":1769068281398,"version":"3.49.0"},"reference-count":66,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2022,7,29]],"date-time":"2022-07-29T00:00:00Z","timestamp":1659052800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42171140"],"award-info":[{"award-number":["42171140"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Forest dynamics is critical to forested ecosystems, and considerable efforts have been devoted to monitoring long-term forest dynamics with the goals of sustainable management and conservation of forests. However, little attention has been given to mountain forests, which are more challenging to monitor due to complex topography, weather, and their distribution. We developed a 30-m resolution tree-canopy cover (TCC) and forest change dataset for the Eastern Himalayas from 1986 to 2021. The tree-canopy cover estimation was validated against estimates from the space-borne Global Ecosystem Dynamics Investigation (GEDI), demonstrating strong consistency (R-square greater than 0.81). A comprehensive assessment for the forest change dataset was performed using 448 visually interpreted points and reported high accuracy of the dataset, i.e., 97.7% and 95.9% for forest loss and gain, respectively. Higher producer and user accuracies were reported for forest loss (PA = 78.0%, UA = 60.9%) than these for forest gain (PA = 61.7%, UA = 56.7%). The results indicated that (1) the mean tree-canopy cover in the region increased by 2.76% over the past three decades, from 40.67% in 1990 to 43.43% in 2020, suggesting the forests have improved during the period; (2) forest loss was identified for a total area of 6990 km2 across the study area, which is less than the 10,700 km2 identified as forest gain; (3) stronger forest gains were found at elevations greater than 3000 m asl, indicating faster forest growth in high elevations likely influenced by the warming temperatures in the Eastern Himalayas.<\/jats:p>","DOI":"10.3390\/rs14153638","type":"journal-article","created":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T04:04:00Z","timestamp":1659326640000},"page":"3638","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Detecting Mountain Forest Dynamics in the Eastern Himalayas"],"prefix":"10.3390","volume":"14","author":[{"given":"Chunling","family":"Wang","sequence":"first","affiliation":[{"name":"National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Jianbang","family":"Wang","sequence":"additional","affiliation":[{"name":"National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}]},{"given":"Zhuoyu","family":"He","sequence":"additional","affiliation":[{"name":"National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7456-7534","authenticated-orcid":false,"given":"Min","family":"Feng","sequence":"additional","affiliation":[{"name":"National Tibetan Plateau Data Center, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"},{"name":"Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining 810016, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,7,29]]},"reference":[{"key":"ref_1","unstructured":"FAO (2020). Global Forest Resources Assessment 2020: Key Findings, FAO."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1038\/nature12291","article-title":"Increase in Forest Water-Use Efficiency as Atmospheric Carbon Dioxide Concentrations Rise","volume":"499","author":"Keenan","year":"2013","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1317","DOI":"10.1890\/0012-9658(2002)083[1317:SSSDAH]2.0.CO;2","article-title":"Spatial Scale, Species Diversity, and Habitat Structure: Small Mammals in Australian Tropical Rain Forest","volume":"83","author":"Williams","year":"2002","journal-title":"Ecology"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1232","DOI":"10.2307\/1938259","article-title":"Ecosystem Structure and Function Along Urban-Rural Gradients: An Unexploited Opportunity for Ecology","volume":"71","author":"McDonnell","year":"1990","journal-title":"Ecology"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1126\/science.1155121","article-title":"Forests and Climate Change: Forcings, Feedbacks, and the Climate Benefits of Forests","volume":"320","author":"Bonan","year":"2008","journal-title":"Science"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1038\/nature06777","article-title":"Mountain Pine Beetle and Forest Carbon Feedback to Climate Change","volume":"452","author":"Kurz","year":"2008","journal-title":"Nature"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1038\/nclimate3303","article-title":"Forest Disturbances under Climate Change","volume":"7","author":"Seidl","year":"2017","journal-title":"Nat. Clim Chang."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Chen, H., Zeng, Z., Wu, J., Peng, L., Lakshmi, V., Yang, H., and Liu, J. (2020). Large Uncertainty on Forest Area Change in the Early 21st Century among Widely Used Global Land Cover Datasets. Remote Sens., 12.","DOI":"10.3390\/rs12213502"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"850","DOI":"10.1126\/science.1244693","article-title":"High-Resolution Global Maps of 21st-Century Forest Cover Change","volume":"342","author":"Hansen","year":"2013","journal-title":"Science"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1038\/nature18326","article-title":"Anthropogenic Disturbance in Tropical Forests Can Double Biodiversity Loss from Deforestation","volume":"535","author":"Barlow","year":"2016","journal-title":"Nature"},{"key":"ref_11","first-page":"65","article-title":"Planted Forests and Biodiversity","volume":"104","author":"Carnus","year":"2006","journal-title":"J. For."},{"key":"ref_12","unstructured":"Good, J.E.G. (1987). The Effects of Forestry on Soils, Soil Water and Surface Water Chemistry, NERC\/ITE."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/BF00142225","article-title":"Possible Climatic Impacts of Tropical Deforestation","volume":"19","author":"Salati","year":"1991","journal-title":"Clim. Chang."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"915","DOI":"10.1130\/G23834A.1","article-title":"Quantification of Soil Erosion Rates Related to Ancient Maya Deforestation","volume":"35","author":"Anselmetti","year":"2007","journal-title":"Geology"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1080\/14888386.2008.9712916","article-title":"Protecting the Future: Carbon, Forests, Protected Areas and Local Livelihoods","volume":"9","author":"Campbell","year":"2008","journal-title":"Biodiversity"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1038\/s41893-021-00738-y","article-title":"Upward Expansion and Acceleration of Forest Clearance in the Mountains of Southeast Asia","volume":"4","author":"Feng","year":"2021","journal-title":"Nat. Sustain."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2112","DOI":"10.1111\/gcb.14618","article-title":"Woody Vegetation Dynamics in the Tropical and Subtropical Andes from 2001 to 2014: Satellite Image Interpretation and Expert Validation","volume":"25","author":"Aide","year":"2019","journal-title":"Glob. Chang. Biol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1000","DOI":"10.1126\/science.1091714","article-title":"Lowland Forest Loss in Protected Areas of Indonesian Borneo","volume":"303","author":"Curran","year":"2004","journal-title":"Science"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1038\/s41586-018-0411-9","article-title":"Global Land Change from 1982 to 2016","volume":"560","author":"Song","year":"2018","journal-title":"Nature"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1038\/s41561-018-0166-9","article-title":"Highland Cropland Expansion and Forest Loss in Southeast Asia in the Twenty-First Century","volume":"11","author":"Zeng","year":"2018","journal-title":"Nat. Geosci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4682","DOI":"10.1111\/gcb.14366","article-title":"Accelerating Forest Loss in Southeast Asian Massif in the 21st Century: A Case Study in Nan Province, Thailand","volume":"24","author":"Zeng","year":"2018","journal-title":"Glob. Chang. Biol."},{"key":"ref_22","first-page":"44","article-title":"Mountain Forests Challenges and Management","volume":"7","author":"Moon","year":"2019","journal-title":"Res. J. Agric. For. Sci."},{"key":"ref_23","unstructured":"Price, M.F. (2011). Mountain Forests in a Changing World: Realizing Values, Addressing Challenges, FAO. [International Year of Forests 2011]."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1007\/s11284-017-1472-1","article-title":"Impact of Climate Change on Alpine Vegetation of Mountain Summits in Norway","volume":"32","author":"Vanneste","year":"2017","journal-title":"Ecol. Res."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Fang, S., and He, Z. (2020). Fifty Years of Change in a Coniferous Forest in the Qilian Mountains, China\u2014Advantages of High-Definition Remote Sensing. Forests, 11.","DOI":"10.3390\/f11111188"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1093\/jpe\/rtab035","article-title":"High-Altitude Tree Growth Responses to Climate Change across the Hindu Kush Himalaya","volume":"14","author":"Zheng","year":"2021","journal-title":"J. Plant Ecol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"245","DOI":"10.5194\/esd-6-245-2015","article-title":"Do Himalayan Treelines Respond to Recent Climate Change? An Evaluation of Sensitivity Indicators","volume":"6","author":"Schickhoff","year":"2015","journal-title":"Earth Syst. Dyn."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1659\/MRD-JOURNAL-D-09-00086.1","article-title":"Mountains and Climate Change: A Global Concern","volume":"30","author":"Kohler","year":"2010","journal-title":"MRED"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1604","DOI":"10.1016\/j.scib.2020.06.014","article-title":"Land Cover Mapping toward Finer Scales","volume":"65","author":"Feng","year":"2020","journal-title":"Sci. Bull."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"8650","DOI":"10.1073\/pnas.0912668107","article-title":"Quantification of Global Gross Forest Cover Loss","volume":"107","author":"Hansen","year":"2010","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1038\/s41586-020-2438-y","article-title":"Abrupt Increase in Harvested Forest Area over Europe after 2015","volume":"583","author":"Ceccherini","year":"2020","journal-title":"Nature"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.rse.2015.02.012","article-title":"Robust Monitoring of Small-Scale Forest Disturbances in a Tropical Montane Forest Using Landsat Time Series","volume":"161","author":"DeVries","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"16911","DOI":"10.1029\/1999JD900057","article-title":"Continuous Fields of Vegetation Characteristics at the Global Scale at 1-Km Resolution","volume":"104","author":"DeFries","year":"1999","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_34","unstructured":"DiMiceli, C., Carroll, M., Sohlberg, R., Huang, C., Hansen, M., and Townshend, J. (2011). Annual Global Automated MODIS Vegetation Continuous Fields (MOD44B) at 250 m Spatial Resolution for Data Years Beginning Day 65, 2000\u20142010, University of Maryland."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1080\/17538947.2013.786146","article-title":"Global, 30-m Resolution Continuous Fields of Tree Cover: Landsat-Based Rescaling of MODIS Vegetation Continuous Fields with Lidar-Based Estimates of Error","volume":"6","author":"Sexton","year":"2013","journal-title":"Int. J. Digit. Earth"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.rse.2014.08.038","article-title":"A Model for the Propagation of Uncertainty from Continuous Estimates of Tree Cover to Categorical Forest Cover and Change","volume":"156","author":"Sexton","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.rse.2016.06.012","article-title":"Earth Science Data Records of Global Forest Cover and Change: Assessment of Accuracy in 1990, 2000, and 2005 Epochs","volume":"184","author":"Feng","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.accre.2017.08.001","article-title":"Observed Changes in Surface Air Temperature and Precipitation in the Hindu Kush Himalayan Region over the Last 100-plus Years","volume":"8","author":"Ren","year":"2017","journal-title":"Adv. Clim. Change Res."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Shrestha, U.B., Gautam, S., and Bawa, K.S. (2012). Widespread Climate Change in the Himalayas and Associated Changes in Local Ecosystems. PLoS ONE, 7.","DOI":"10.1371\/journal.pone.0036741"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.accre.2017.07.001","article-title":"Changes in Extreme Temperature Events over the Hindu Kush Himalaya during 1961\u20132015","volume":"8","author":"Sun","year":"2017","journal-title":"Adv. Clim. Change Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.accre.2017.08.002","article-title":"Changes in Extreme Precipitation Events over the Hindu Kush Himalayan Region during 1961\u20132012","volume":"8","author":"Zhan","year":"2017","journal-title":"Adv. Clim. Change Res."},{"key":"ref_42","first-page":"342","article-title":"The Distribution Patterns of Timberline and Its Response to Climate Change in the Himalayas","volume":"11","author":"Peili","year":"2020","journal-title":"J. Resour. Ecol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1007\/s10661-016-5196-4","article-title":"Pattern of NDVI-Based Vegetation Greening along an Altitudinal Gradient in the Eastern Himalayas and Its Response to Global Warming","volume":"188","author":"Li","year":"2016","journal-title":"Environ. Monit. Assess."},{"key":"ref_44","first-page":"100695","article-title":"Landsat-Based Multi-Decadal Spatio-Temporal Assessment of the Vegetation Greening and Browning Trend in the Eastern Indian Himalayan Region","volume":"25","author":"Kumar","year":"2022","journal-title":"Remote Sens. Appl. Soc. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Dubey, A.K. (2014). The Himalaya. Understanding an Orogenic Belt: Structural Evolution of the Himalaya, Springer International Publishing.","DOI":"10.1007\/978-3-319-05588-6"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.accre.2017.09.001","article-title":"Climate Change in the Hindu Kush Himalaya","volume":"8","author":"Ren","year":"2017","journal-title":"Adv. Clim. Chang. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.rse.2011.08.024","article-title":"A Review of Large Area Monitoring of Land Cover Change Using Landsat Data","volume":"122","author":"Hansen","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"100002","DOI":"10.1016\/j.srs.2020.100002","article-title":"The Global Ecosystem Dynamics Investigation: High-Resolution Laser Ranging of the Earth\u2019s Forests and Topography","volume":"16","author":"Dubayah","year":"2020","journal-title":"Sci. Remote Sens."},{"key":"ref_49","first-page":"71","article-title":"Precise Global DEM Generation by ALOS PRISM. ISPRS Ann. Photogramm. Remote Sens","volume":"2","author":"Tadono","year":"2014","journal-title":"Spat. Inf. Sci."},{"key":"ref_50","unstructured":"Dorogush, A.V., Ershov, V., and Gulin, A. (2018). CatBoost: Gradient Boosting with Categorical Features Support. arXiv."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1937","DOI":"10.1007\/s10462-020-09896-5","article-title":"A Comparative Analysis of Gradient Boosting Algorithms","volume":"54","year":"2021","journal-title":"Artif. Intell. Rev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4923","DOI":"10.1080\/01431161.2014.930207","article-title":"Estimating Area and Map Accuracy for Stratified Random Sampling When the Strata Are Different from the Map Classes","volume":"35","author":"Stehman","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1016\/j.rse.2012.10.010","article-title":"Long-Term Land Cover Dynamics by Multi-Temporal Classification across the Landsat-5 Record","volume":"128","author":"Sexton","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1038\/nclimate2816","article-title":"Conservation Policy and the Measurement of Forests","volume":"6","author":"Sexton","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1126\/science.aal2011","article-title":"The Interaction of Human Population, Food Production, and Biodiversity Protection","volume":"356","author":"Crist","year":"2017","journal-title":"Science"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1108","DOI":"10.1126\/science.aau3445","article-title":"Classifying Drivers of Global Forest Loss","volume":"361","author":"Curtis","year":"2018","journal-title":"Science"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"094003","DOI":"10.1088\/1748-9326\/aa7e1e","article-title":"Forest Loss Maps from Regional Satellite Monitoring Systematically Underestimate Deforestation in Two Rapidly Changing Parts of the Amazon","volume":"12","author":"Milodowski","year":"2017","journal-title":"Environ. Res. Lett."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1969","DOI":"10.1111\/j.1365-2486.2006.01193.x","article-title":"European Phenological Response to Climate Change Matches the Warming Pattern","volume":"12","author":"Menzel","year":"2006","journal-title":"Glob. Change Biol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/S0168-1923(01)00233-7","article-title":"Response of Tree Phenology to Climate Change across Europe","volume":"108","author":"Chmielewski","year":"2001","journal-title":"Agric. For. Meteorol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"22151","DOI":"10.1073\/pnas.1012490107","article-title":"Winter and Spring Warming Result in Delayed Spring Phenology on the Tibetan Plateau","volume":"107","author":"Yu","year":"2010","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1729","DOI":"10.1002\/1097-0088(20001130)20:14<1729::AID-JOC556>3.0.CO;2-Y","article-title":"Climatic Warming in the Tibetan Plateau during Recent Decades","volume":"20","author":"Liu","year":"2000","journal-title":"Int. J. Climatol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1002\/(SICI)1097-0088(20000315)20:3<317::AID-JOC476>3.0.CO;2-G","article-title":"Precipitation Fluctuations in the Nepal Himalaya and Its Vicinity and Relationship with Some Large Scale Climatological Parameters","volume":"20","author":"Shrestha","year":"2000","journal-title":"Int. J. Climatol."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.agrformet.2012.09.014","article-title":"Drought and Spring Cooling Induced Recent Decrease in Vegetation Growth in Inner Asia","volume":"178\u2013179","author":"Mohammat","year":"2013","journal-title":"Agric. For. Meteorol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"112271","DOI":"10.1016\/j.rse.2020.112271","article-title":"Evolution of the Representation of Global Vegetation by Vegetation Continuous Fields","volume":"254","author":"DiMiceli","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_65","unstructured":"Tang, H., and Armston, J. (2019). GEDI L2B Footprint Canopy Cover and Vertical Profile Metrics. Goddard Space Flight Cent., 39, Available online: https:\/\/lpdaac.usgs.gov\/documents\/588\/GEDI_FCCVPM_ATBD_v1.0.pdf."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1016\/j.cosust.2012.09.013","article-title":"Synergies of Multiple Remote Sensing Data Sources for REDD+ Monitoring","volume":"4","author":"Herold","year":"2012","journal-title":"Curr. Opin. Environ. Sustain."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/15\/3638\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:59:18Z","timestamp":1760140758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/15\/3638"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,29]]},"references-count":66,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["rs14153638"],"URL":"https:\/\/doi.org\/10.3390\/rs14153638","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,29]]}}}