{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T02:42:01Z","timestamp":1773196921767,"version":"3.50.1"},"reference-count":66,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T00:00:00Z","timestamp":1684713600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007825","name":"Monitoring and Assessment of the Socio-economic Impacts of China\u2019s Key Forestry Programs","doi-asserted-by":"publisher","award":["2130237-180902"],"award-info":[{"award-number":["2130237-180902"]}],"id":[{"id":"10.13039\/501100007825","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Forest disturbances and restoration are key processes in carbon transmission between the terrestrial surface and the atmosphere. In boreal forests, fire is the most common and main disturbance. The reconstruction process for post-disaster vegetation plays an essential role in the restoration of a forest\u2019s structure and function, and it also maintains the ecosystem\u2019s health and stability. Remote sensing monitoring could reflect dynamic post-fire features of vegetation. However, there are still major differences in the remote sensing index in terms of regional feasibility and sensibility. In this study, the largest boreal primary coniferous forest area in China, the Greater Hinggan Mountains forest area, was chosen as the sampling area. Based on time series data from Landsat-5 TM surface reflectance (SR) and data obtained from sample plots, the burned area was extracted using the Normalized Burn Ratio (NBR). We used the pre- and post-fire difference values (dNBR) and compared them with survey data to classify the burn severity level. The Normalized Difference Vegetation Index (NDVI) (based on spectrum combination) and the Disturbance Index (DI) (based on Tasseled-Cap transformation) were chosen to analyze the difference in the degree of burn severity and vegetation restoration observed using various methods according to the sequential variation feature from 1986 to 2011. The results are as follows: (1) The two remote sensing indexes are both sensitive to fire and the burn severity level. When a fire occurred, the NDVI value for that year decreased dramatically while the DI value increased sharply. Alongside these findings, we observed that the rangeability and restoration period of the two indexes is significantly positively correlated with the degree of burn severity. (2) According to these two indexes, natural vegetation restoration was faster than the restoration achieved using artificial methods. However, compared with the NDVI, the DI showed a clearer improvement in restoration, as the restoration period the DI could evaluate was longer in two different ways: the NDVI illustrated great changes in the burn severity in the 5 years post-fire, while the DI was able to show the changes for more than 20 years. Additionally, from the DI, one could identify felling activities carried out when the artificial restoration methods were initially applied. (3) From the sample-plot data, there were few differences in forest canopy density\u2014the average was between 0.55 and 0.6\u2014between the diverse severity levels and restoration methods after 33 years of recovery. The average diameter at breast height (DBH) and height values of trees in naturally restored areas decreased with the increase in burn severity, but the values were obviously higher than those in artificially restored areas. This indicates that both the burn severity level and restoration methods have important effects on forest restoration, but the results may also have been affected by other factors.<\/jats:p>","DOI":"10.3390\/rs15102683","type":"journal-article","created":{"date-parts":[[2023,5,22]],"date-time":"2023-05-22T05:04:44Z","timestamp":1684731884000},"page":"2683","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Comparison of Forest Restorations with Different Burning Severities Using Various Restoration Methods at Tuqiang Forestry Bureau of Greater Hinggan Mountains"],"prefix":"10.3390","volume":"15","author":[{"given":"Guangshuai","family":"Zhao","sequence":"first","affiliation":[{"name":"Development Research Center, National Forestry and Grassland Administration, Beijing 100714, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3255-3959","authenticated-orcid":false,"given":"Erqi","family":"Xu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China"}]},{"given":"Xutong","family":"Yi","sequence":"additional","affiliation":[{"name":"Development Research Center, National Forestry and Grassland Administration, Beijing 100714, China"}]},{"given":"Ye","family":"Guo","sequence":"additional","affiliation":[{"name":"Development Research Center, National Forestry and Grassland Administration, Beijing 100714, China"}]},{"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Development Research Center, National Forestry and Grassland Administration, Beijing 100714, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/j.rse.2005.05.009","article-title":"Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection","volume":"97","author":"Healey","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"153","DOI":"10.5721\/EuJRS20144710","article-title":"Monitoring of post-fire forest recovery under different restoration modes based on time series Landsat data","volume":"47","author":"Chen","year":"2014","journal-title":"Eur. J. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1038\/s41586-019-1474-y","article-title":"Increasing wildfires threaten historic carbon sink of boreal forest soils","volume":"572","author":"Walker","year":"2019","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"13055","DOI":"10.1073\/pnas.1305069110","article-title":"Recent burning of boreal forests exceeds fire regime limits of the past 10,000 years","volume":"110","author":"Kelly","year":"2013","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1023\/A:1005306001055","article-title":"Climate Change and Forest Fire Potential in Russian and Canadian Boreal Forests","volume":"38","author":"Stocks","year":"1998","journal-title":"Clim. Chang."},{"key":"ref_6","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_7","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1126\/science.263.5144.185","article-title":"Carbon pools and flux of global forest ecosystems","volume":"263","author":"Dixon","year":"1994","journal-title":"Science"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/BF00137988","article-title":"Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning","volume":"2","author":"Seiler","year":"1980","journal-title":"Clim. Chang."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1029\/2008EO110001","article-title":"Forest Disturbance and North American Carbon Flux","volume":"89","author":"Goward","year":"2008","journal-title":"Eos Trans. Am. Geophys. Union"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2320","DOI":"10.1126\/science.1058629","article-title":"Changes in forest biomass carbon storage in China between 1949 and 1998","volume":"292","author":"Fang","year":"2001","journal-title":"Science"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1111\/j.1654-1103.2002.tb02068.x","article-title":"An international network to monitor the structure, composition and dynamics of Amazonian forests (RAINFOR)","volume":"13","author":"Malhi","year":"2002","journal-title":"J. Veg. Sci."},{"key":"ref_12","first-page":"1453","article-title":"Development of a land-cover characteristics database for the conterminous U.S","volume":"57","author":"Loveland","year":"1991","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_13","first-page":"1083","article-title":"Comparison of Forest Disturbance Indices based on MODIS Time-Series Data","volume":"31","author":"Li","year":"2016","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1300","DOI":"10.1109\/TGRS.2004.826801","article-title":"A technique for detecting burn scars using MODIS data","volume":"42","author":"Li","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_15","first-page":"567","article-title":"Evaluating Different Remote Sensing Indexes for Forest Burn Scars Extraction","volume":"29","author":"Wu","year":"2014","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.rse.2007.05.001","article-title":"Using long time series of Landsat data to monitor fire events and post-fire dynamics and identify driving factors. A case study in the Ayora region (eastern Spain)","volume":"112","author":"Joachim","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_17","first-page":"1246","article-title":"Forest disturbance monitoring based on the time-series trajectory of remote sensing index","volume":"17","author":"Yang","year":"2013","journal-title":"J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.rse.2009.08.017","article-title":"An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks","volume":"114","author":"Huang","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1016\/j.rse.2004.10.012","article-title":"Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances","volume":"94","author":"Jin","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/0034-4257(92)90102-P","article-title":"Canopy reflectance, photosynthesis, and transpiration. III. A reanalysis using improved leaf models and a new canopy integration scheme","volume":"42","author":"Sellers","year":"1992","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/j.rse.2005.09.017","article-title":"MODIS time-series imagery for forest disturbance detection and quantification of patch size effects","volume":"99","author":"Jin","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/0034-4257(88)90106-X","article-title":"A soil-adjusted vegetation index (SAVI)","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/S0034-4257(99)00057-7","article-title":"Relationships between Leaf Area Index and Landsat TM Spectral Vegetation Indices across Three Temperate Zone Sites","volume":"70","author":"Turner","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Lutes, D.C., Keane, R.E., Caratti, J.F., Key, C.H., Benson, N.C., Sutherland, S., and Gangi, L.J. (2006). Landscape Assessment: Ground measure of severity, the Composite Burn Index; and Remote sensing of severity, the Normalized Burn Ratio, FIREMON: Fire Effects Monitoring and Inventory System, LA 1\u201351.","DOI":"10.2737\/RMRS-GTR-164"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1080\/10106049109354290","article-title":"Mapping burns and natural reforestation using thematic Mapper data","volume":"6","author":"Caselles","year":"1991","journal-title":"Geocarto Int."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1613","DOI":"10.1016\/j.rse.2009.03.007","article-title":"A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS","volume":"113","author":"Hilker","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2342","DOI":"10.1016\/j.rse.2011.04.034","article-title":"Combining dendrochronological data and the disturbance index to assess Engelmann spruce mortality caused by a spruce beetle outbreak in southern Utah, USA","volume":"115","author":"DeRose","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2914","DOI":"10.1016\/j.rse.2008.02.010","article-title":"North American forest disturbance mapped from a decadal Landsat record","volume":"112","author":"Masek","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1250","DOI":"10.1016\/j.rse.2009.02.015","article-title":"Large area monitoring with a MODIS-based Disturbance Index (DI) sensitive to annual and seasonal variations","volume":"113","author":"Coops","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"DaSilva, M.D., Bruce, D., Hesp, P.A., and Miot da Silva, G. (2021). A New Application of the Disturbance Index for Fire Severity in Coastal Dunes. Remote Sens., 13.","DOI":"10.3390\/rs13234739"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1038\/s41586-020-2849-9","article-title":"Large Chinese l and carbon sink estimated from atmospheric carbon dioxide data","volume":"586","author":"Wang","year":"2020","journal-title":"Nature"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1046\/j.1365-2486.2003.00658.x","article-title":"Postfire response of North American boreal forest net primary productivity analyzed with satellite observations","volume":"9","author":"Hicke","year":"2003","journal-title":"Glob. Chang. Biol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"L16710","DOI":"10.1029\/2005GL023646","article-title":"Observed and predicted responses of plant growth to climate across Canada","volume":"32","author":"Bunn","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"13521","DOI":"10.1073\/pnas.0506179102","article-title":"Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance","volume":"102","author":"Goetz","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Huang, W., Hu, Y., Chang, Y., Liu, M., Li, Y., Ren, B., and Shi, S. (2018). Effects of Fire Severity and Topography on Soil Black Carbon Accumulation in Boreal Forest of Northeast China. Forests, 9.","DOI":"10.3390\/f9070408"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Huang, H.L., Cao, Y., Chen, G., Xu, L., Dang, Y., Singh, R.P., Bashir, B., Xie, B., and Lin, X. (2020). Remote Sensing Monitoring of Vegetation Dynamic Changes after Fire in the Greater Hinggan Mountain Area: The Algorithm and Application for Eliminating Phenological Impacts. Remote Sens., 12.","DOI":"10.3390\/rs12010156"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Chen, X., Chen, W., and Xu, M. (2022). Remote-Sensing Monitoring of Postfire Vegetation Dynamics in the Greater Hinggan Mountain Range Based on Long Time-Series Data: Analysis of the Effects of Six Topographic and Climatic Factors. Remote Sens., 14.","DOI":"10.3390\/rs14132958"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/BF02857905","article-title":"Factorial analysis on forest canopy density restoration in the burned area of northern Great Xing\u2019an Mountains, China","volume":"16","author":"Xie","year":"2005","journal-title":"J. For. Res."},{"key":"ref_39","first-page":"739","article-title":"Estimating Biomass Burned Areas from Multispectral Dataset Detected by Multiple-Satellite","volume":"35","author":"Yu","year":"2015","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"970","DOI":"10.1016\/j.rse.2007.07.023","article-title":"Use of a dark object concept and support vector machines to automate forest cover change analysis","volume":"112","author":"Huang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/0034-4257(85)90102-6","article-title":"A TM Tasseled Cap equivalent transformation for reflectance factor data","volume":"17","author":"Crist","year":"1985","journal-title":"Remote Sens. Environ."},{"key":"ref_42","first-page":"60","article-title":"Vegetation changes in conflagration area: Case study of Da Hinggan Mountains and Yellowstone National Park burned area","volume":"39","author":"Qian","year":"2019","journal-title":"J. Tianjin Norm. Univ."},{"key":"ref_43","first-page":"168","article-title":"Impact of forest fire on physical, chemical and biological properties of soil: A review","volume":"2","author":"Verma","year":"2012","journal-title":"Proc. Int. Acad. Ecol. Environ. Sci."},{"key":"ref_44","unstructured":"Zhao, F., Wang, L., Chen, P., and Shu, L. (2013). Review on the Recovery after the Catastrophic Forest Fire in Daxing\u2019anling Mountains. Forest Resources Management, 125\u2013129."},{"key":"ref_45","first-page":"514","article-title":"Effect of Forest-fire Rehabilitation Time on Plant Diversity in Daxing\u2019an Mountains, Northeastern China","volume":"39","author":"Yang","year":"2019","journal-title":"Bull. Bot. Res."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.rse.2006.01.011","article-title":"Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada","volume":"101","author":"Goetz","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1641\/0006-3568(2004)054[0535:LRIEAO]2.0.CO;2","article-title":"Landsat\u2019s Role in Ecological Applications of Remote Sensing","volume":"54","author":"Cohen","year":"2004","journal-title":"BioScience"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1080\/01431168608954695","article-title":"Forestry information content of Thematic Mapper data","volume":"7","author":"Horler","year":"1986","journal-title":"Int. J. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1016\/j.rse.2011.02.025","article-title":"Characterizing the state and processes of change in a dynamic forest environment using hierarchical spatio-temporal segmentation","volume":"115","author":"White","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_50","first-page":"30","article-title":"Model of vegetation restoration under natural regeneration and human interference in the burned area of northern Daxinganling","volume":"22","author":"Wang","year":"2003","journal-title":"Chin. J. Ecol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1890\/0012-9615(1997)067[0411:EOFSAP]2.0.CO;2","article-title":"Effects of fire size and pattern on early succession in Yellowstone National Park","volume":"67","author":"Turner","year":"1997","journal-title":"Ecol. Monogr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"575","DOI":"10.3170\/2008-8-18412","article-title":"Regeneration models and plant regenerative types related to the intensity of fire in Atlantic shrubland and woodland species","volume":"19","author":"Reyes","year":"2008","journal-title":"J. Veg. Sci."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1093\/jpe\/rtz060","article-title":"Impact of forest fire on soil seed bank composition in Himalayan Chir pine forest","volume":"13","author":"Konsam","year":"2019","journal-title":"J. Plant Ecol."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1017\/S096025851700006X","article-title":"A field perspective on effects of fire and temperature fluctuation on Cerrado legume seeds","volume":"27","author":"Daibes","year":"2017","journal-title":"Seed Sci. Res."},{"key":"ref_55","first-page":"430","article-title":"Gradient analysis of the influence of mountain topography on vegetation pattern","volume":"24","author":"Shen","year":"2000","journal-title":"Acta Phytoecol. Sin."},{"key":"ref_56","first-page":"1863","article-title":"Gradient analysis on the influence of terrain on the forest landscape pattern in the burned blanks of the north slope of Mt.Daxing\u2019anling","volume":"24","author":"Kong","year":"2004","journal-title":"Acta Ecol. Sin."},{"key":"ref_57","unstructured":"Blodgett, H., Hart-Fredeluces, G., and Stanislaw, M. (2012). Annual Burning Decreases Seed Density in the Upper Soil Layers of the Seed Bank, Biology Department, Grinnell College."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"835","DOI":"10.1016\/j.rse.2008.12.012","article-title":"Comparison of two types of forest disturbance using multitemporal Landsat TM\/ETM+ imagery and field vegetation data","volume":"113","author":"Hais","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(86)90066-0","article-title":"Soil background effects on the spectral response of a three-component rangeland scene","volume":"19","author":"Heilman","year":"1986","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1016\/0034-4257(87)90038-1","article-title":"Suitability of spectral indices for evaluating vegetation characteristics on arid rangelands","volume":"23","author":"Huete","year":"1987","journal-title":"Remote Sens. Environ."},{"key":"ref_61","first-page":"915","article-title":"Responses of Spectral Indices to Variations in Vegetation Cover and Soil Background","volume":"64","author":"Todd","year":"1998","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_62","unstructured":"Swain, P.H., and Davis, S.M. (1978). Remote Sensing: The Quantitative Approach, McGraw-Hill."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/0034-4257(85)90111-7","article-title":"Spectral response of a plant canopy with different soil backgrounds","volume":"17","author":"Huete","year":"1985","journal-title":"Remote Sens. Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1080\/01431169108929723","article-title":"Investigation of soil influences in AVHRR red and near-infrared vegetation index imagery","volume":"12","author":"Huete","year":"1991","journal-title":"Int. J. Remote Sens."},{"key":"ref_65","first-page":"291","article-title":"Potentials and Limitations of NDVI and other Vegetation Indices (VIS) for Monitoring Vegetation Parameters from Remotely Sensed Data","volume":"7","author":"Redowan","year":"2012","journal-title":"Bangladesh Res. Publ. J."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"475","DOI":"10.1016\/j.rse.2003.10.021","article-title":"Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans","volume":"92","author":"Jackson","year":"2004","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/10\/2683\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:39:46Z","timestamp":1760125186000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/10\/2683"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,22]]},"references-count":66,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,5]]}},"alternative-id":["rs15102683"],"URL":"https:\/\/doi.org\/10.3390\/rs15102683","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,22]]}}}