{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T20:52:08Z","timestamp":1760647928570,"version":"build-2065373602"},"reference-count":62,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T00:00:00Z","timestamp":1698192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"USDA Natural Resources Conservation Service (NRCS)","award":["67-3A75-17-471","NRC21IRA0010783"],"award-info":[{"award-number":["67-3A75-17-471","NRC21IRA0010783"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Much of the western United States is covered by rangelands used for grazing and wildlife. Woody plant cover is increasing in areas historically covered by grasslands and can cause numerous problems, including losses in wildlife habitat, forage for grazing, and overall losses in soil health. Land managers and conservationists are working to control these increases in woody plants, but need tools to help determine target areas to focus efforts and resources where they are most needed. In this work, we present RaBET (Rangeland Brush Estimation Tool), which uses transparent, well-understood methodologies with remotely sensed data to map woody canopy cover across large areas of rangelands. We demonstrate that our process produced more accurate results than two currently available tools based on advanced machine learning techniques. We compare two methods of map validation: traditional field methods of plant canopy measurements; and aircraft-based photography, which decreases the amount of time and resources needed. RaBET is a remote sensing-based application for obtaining repeatable, accurate measures of woody cover to aid land managers and conservationists in the control of woody plants on rangelands.<\/jats:p>","DOI":"10.3390\/rs15215102","type":"journal-article","created":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T06:19:58Z","timestamp":1698214798000},"page":"5102","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Rangeland Brush Estimation Tool (RaBET): An Operational Remote Sensing-Based Application for Quantifying Woody Cover on Western Rangelands"],"prefix":"10.3390","volume":"15","author":[{"given":"Chandra","family":"Holifield Collins","sequence":"first","affiliation":[{"name":"USDA\u2014Agricultural Research Service, Southwest Watershed Research Center, 2000 E. Allen Road, Tucson, AZ 85719, USA"}]},{"given":"Susan","family":"Skirvin","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]},{"given":"Mark","family":"Kautz","sequence":"additional","affiliation":[{"name":"USDA\u2014Agricultural Research Service, Southwest Watershed Research Center, 2000 E. Allen Road, Tucson, AZ 85719, USA"}]},{"given":"Zachary","family":"Winston","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]},{"given":"Dustin","family":"Curley","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]},{"given":"Andrew","family":"Corrales","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]},{"given":"Andrew","family":"Bishop","sequence":"additional","affiliation":[{"name":"Rainwater Basin Joint Venture, 2550 N. Diers Avenue, Grand Island, NE 68803, USA"}]},{"given":"Nadine","family":"Bishop","sequence":"additional","affiliation":[{"name":"USDA\u2014Natural Resources Conservation Service, 706 East 5th Street, Imperial, NE 69033, USA"}]},{"given":"Cynthia","family":"Norton","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, Arizona Remote Sensing Center, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4332-338X","authenticated-orcid":false,"given":"Guillermo","family":"Ponce-Campos","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1130-3392","authenticated-orcid":false,"given":"Gerardo","family":"Armendariz","sequence":"additional","affiliation":[{"name":"USDA\u2014Agricultural Research Service, Southwest Watershed Research Center, 2000 E. Allen Road, Tucson, AZ 85719, USA"}]},{"given":"Loretta","family":"Metz","sequence":"additional","affiliation":[{"name":"USDA\u2014Natural Resources Conservation Service, Soil Health Division, 1311 E. 4th Street #211, Tucson, AZ 85721, USA"}]},{"given":"Philip","family":"Heilman","sequence":"additional","affiliation":[{"name":"USDA\u2014Agricultural Research Service, Southwest Watershed Research Center, 2000 E. Allen Road, Tucson, AZ 85719, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3188-7172","authenticated-orcid":false,"given":"Willem","family":"van Leeuwen","sequence":"additional","affiliation":[{"name":"University of Arizona School of Natural Resources and the Environment, School of Geography Development & Environment, Arizona Remote Sensing Center, The University of Arizona, 1064 E. Lowell Street, Tucson, AZ 85721, USA"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,25]]},"reference":[{"key":"ref_1","unstructured":"Archer, S.R., Andersen, E.M., Predick, K.I., Schwinning, S., Steidl, R.J., Woods, S.R., and Briske, D.D. (2017). Rangeland Systems: Processes, Management and Challenges, Springer International Publishing."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1038\/s41477-022-01307-7","article-title":"The success of woody plant removal depends on encroachment stage and plant traits","volume":"9","author":"Ding","year":"2023","journal-title":"Nat. Plants"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1111\/j.1461-0248.2011.01630.x","article-title":"Impacts of shrub encroachment on ecosystem structure and functioning: Towards a global synthesis","volume":"14","author":"Eldridge","year":"2011","journal-title":"Ecol. Lett."},{"key":"ref_4","unstructured":"Schulz, M., Heimann, S., Harrison, E., Holland, J., and Lloyd, I. (2001). Global Biogeochemical Cycles in the Climate System, Academic Press."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"11","DOI":"10.5751\/ES-13348-270311","article-title":"Woody plant encroachment pervasive across three socially and ecologically diverse ecoregions","volume":"27","author":"Londe","year":"2022","journal-title":"Ecol. Soc."},{"key":"ref_6","unstructured":"Scifres, C.J. (1980). Brush Management: Principles and Practices for Texas and the Southwest, Texas A&M University Press."},{"key":"ref_7","unstructured":"Hamilton, W.T., McGinty, A., Ueckert, D.N., Hanselka, C.W., and Lee, M.R. (2004). Brush Managment: Past, Present, Future, Texas A&M University Press."},{"key":"ref_8","unstructured":"Welch, T.G. (2000). Brush Management Methods, Texas A&M Agrilife Extension."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rama.2021.03.007","article-title":"Challenges of brush management treatment effectiveness in southern Great Plains, United States","volume":"77","author":"Scholtz","year":"2021","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Jansen, V.S., Kolden, C.A., and Schmalz, H.J. (2018). The development of near real-time biomass and cover estimates for adaptive rangeland management using Landsat 7 and Landsat 8 surface reflectance products. Remote Sens., 10.","DOI":"10.3390\/rs10071057"},{"key":"ref_11","first-page":"3261","article-title":"Remote sensing based indicators of vegetation species for assessing rangeland degradation: Opportunities and challenges","volume":"7","author":"Mansour","year":"2012","journal-title":"Afr. J. Agric. Res."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"e01862","DOI":"10.1002\/eap.1862","article-title":"Patterns of rangeland productivity and land ownership: Implications for conservation and management","volume":"29","author":"Robinson","year":"2019","journal-title":"Ecol. Appl."},{"key":"ref_13","unstructured":"Stubbs, M. (2010). Environmental Quality Incentives Program (EQIP): Status and Issues."},{"key":"ref_14","unstructured":"Briske, D.D., Jolley, L.W., Duriancik, L.F., and Dobrowolski, J.P. (2011). Introduction to the conservation effects assessment project and the rangeland literature synthesis, Conservation Benefits of Rangeland Practices: Assessment, Recommendations, and Knowledge Gaps."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"e02762","DOI":"10.1002\/ecs2.2762","article-title":"Long-term trajectories of fractional component change in the Northern Great Basin, USA","volume":"10","author":"Rigge","year":"2019","journal-title":"Ecosphere"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1016\/j.rama.2016.03.002","article-title":"Cheatgrass percent cover change: Comparing recent estimates to climate change-driven predictions in the northern Great Basin","volume":"69","author":"Boyte","year":"2016","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"e02838","DOI":"10.1002\/ecs2.2838","article-title":"Vegetation mapping to support greater sage-grouse habitat monitoring and management: Multi-or univariate approach?","volume":"10","author":"Henderson","year":"2019","journal-title":"Ecosphere"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rama.2016.08.002","article-title":"Mapping tree canopy cover in support of proactive prairie grouse conservation in western North America","volume":"70","author":"Falkowski","year":"2017","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1111\/2041-210X.13564","article-title":"Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty","volume":"12","author":"Allred","year":"2021","journal-title":"Methods Ecol. Evol."},{"key":"ref_20","unstructured":"Okin, G., Zhou, B., Duniway, M., Cole, C., Savage, S., Litschert, S., and Liddle, J. (2023, April 01). Landscape Cover Analysis and Reporting Tools V1.0. Available online: https:\/\/landcart-301816.wm.r.appspot.com\/#\/."},{"key":"ref_21","unstructured":"United States Department of Agriculture, Natural Resources Conservation Service (2006). Land Resource Regions and Major Land Resource Areas of the United States, the Caribbean, and the Pacific Basin."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","article-title":"Support vector machines in remote sensing: A review","volume":"66","author":"Mountrakis","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_23","first-page":"401","article-title":"Estimating the kappa coefficient and its variance under stratified random sampling","volume":"62","author":"Stehman","year":"1996","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"469","DOI":"10.5194\/isprs-annals-V-3-2020-469-2020","article-title":"Optimal dates for deciduous tree species mapping using full years Sentinel-2 time series in south west France","volume":"V-3-2020","author":"Karasiak","year":"2020","journal-title":"ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"388","DOI":"10.3390\/rs2020388","article-title":"Phenological characterization of Desert Sky Island vegetation communities with remotely sensed and climate time series data","volume":"2","author":"Davison","year":"2010","journal-title":"Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"909","DOI":"10.3390\/rs5020909","article-title":"Estimating winter annual biomass in the Sonoran and Mojave deserts with satellite- and ground-based observations","volume":"5","author":"Casady","year":"2013","journal-title":"Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"111401","DOI":"10.1016\/j.rse.2019.111401","article-title":"Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities","volume":"233","author":"Smith","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1016\/S0034-4257(96)00072-7","article-title":"Use of green channel in remote sensing of global vegetation from EOS-MODIS","volume":"58","author":"Gitelson","year":"1996","journal-title":"Remote Sens. Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"530","DOI":"10.2111\/05-201R.1","article-title":"Remote sensing for grassland management in the arid southwest","volume":"59","author":"Marsett","year":"2006","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_30","first-page":"407","article-title":"Landsat time series analysis of fractional plant cover changes on abandoned energy development sites","volume":"73","author":"Waller","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/0034-4257(94)90134-1","article-title":"A modified soil adjusted vegetation index","volume":"48","author":"Qi","year":"1994","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1111\/j.1744-7909.2007.00401.x","article-title":"Comparison of vegetation indices and red-edge parameters for estimating grassland cover from canopy reflectance data","volume":"49","author":"Liu","year":"2007","journal-title":"J. Integr. Plant Biol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1080\/07038992.1993.10874543","article-title":"Mapping corn residue cover on agricultural fields in Oxford County, Ontario, using thematic mapper","volume":"19","author":"McNairn","year":"1993","journal-title":"Can. J. Remote"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1007\/s10661-019-7918-x","article-title":"Improved assessment of pasture availability in semi-arid grassland of South Africa","volume":"191","author":"Dingaan","year":"2019","journal-title":"Environ. Monit. Assess."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"111382","DOI":"10.1016\/j.rse.2019.111382","article-title":"Assimilating optical satellite remote sensing images and field data to predict surface indicators in the Western US: Assessing error in satellite predictions based on large geographical datasets with the use of machine learning","volume":"233","author":"Zhang","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"111521","DOI":"10.1016\/j.rse.2019.111521","article-title":"Leverageing Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring","volume":"236","author":"Zhou","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_37","unstructured":"Herrick, J.E. (2005). Monitoring Manual for Grassland, Shrubland and Savanna Ecosystems, Volume 1: Quick Start, The University of Arizona Press. USDA-ARS Jornada Experimental Range."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"096057","DOI":"10.1117\/1.JRS.9.096057","article-title":"Development of an integrated multiplatform approach for assessing brush management conservation efforts in semiarid rangelands","volume":"9","author":"Kautz","year":"2015","journal-title":"J. Appl. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"358","DOI":"10.2307\/2425792","article-title":"Ponderosa pine (Pinus ponderosa) invasion of Nebraska Sandhills prairie","volume":"118","author":"Steinauer","year":"1987","journal-title":"Am. Midl. Nat."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1086\/505797","article-title":"Ecophysiology of two native invasive woody species and two dominant warm-season grasses in the semiarid grasslands of the Nebraska Sandhills","volume":"167","author":"Eggemeyer","year":"2006","journal-title":"Int. J. Plant Sci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Barger, N.N., Archer, S.R., Campbell, J.L., Huang, C.Y., Morton, J.A., and Knapp, A.K. (2011). Woody plant proliferation in North American drylands: A synthesis of impacts on ecosystem carbon balance. J. Geophys. Res. Biogeosci., 116.","DOI":"10.1029\/2010JG001506"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1603\/0046-225X(2007)36[297:EOIERO]2.0.CO;2","article-title":"Effects of invasive eastern redcedar on capture rates of Nicrophorus americanus and other Silphidae","volume":"36","author":"Walker","year":"2007","journal-title":"Environ. Entomol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"248","DOI":"10.1016\/j.ufug.2017.12.001","article-title":"Estimation of urban woody vegetation cover using multispectral imagery and LiDAR","volume":"29","author":"Ucar","year":"2018","journal-title":"Urban For. Urban Green."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3934\/environsci.2017.1.1","article-title":"Rangeland monitoring using remote sensing: Comparison of cover estimates from field measurements and image analysis","volume":"4","author":"Boswell","year":"2017","journal-title":"AIMS Environ. Sci."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"101012","DOI":"10.1016\/j.ecoinf.2019.101012","article-title":"A semi-automated approach for quantitative mapping of woody cover from historical time series aerial photography and satellite imagery","volume":"55","author":"Whiteside","year":"2020","journal-title":"Ecol. Inform."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.ecolind.2018.06.029","article-title":"Suitability of NDVI and OSAVI as estimators of green biomass and coverage in a semi-arid rangeland","volume":"94","author":"Fern","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"931299","DOI":"10.3389\/fenvs.2022.931299","article-title":"Dry season forage assessment across senegalese rangelands using earth observation data","volume":"10","author":"Lo","year":"2022","journal-title":"Front. Environ. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Ding, Y., Zhang, H., Wang, Z., Xie, Q., Wang, Y., Liu, L., and Hall, C. (2020). A comparison of estimating crop residue cover from Sentinel-2 data using empirical regressions and machine learning methods. Remote Sens., 12.","DOI":"10.3390\/rs12091470"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.cj.2016.01.008","article-title":"Estimation of biomass in wheat using random forest regression algorithm and remote sensing data","volume":"4","author":"Wang","year":"2016","journal-title":"Crop J."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1080\/17538947.2018.1478004","article-title":"Mechanisms, monitoring and modeling of shrub encroachment into grassland: A review","volume":"12","author":"Cao","year":"2019","journal-title":"Int. J. Digit. Earth"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1016\/j.rse.2010.01.012","article-title":"A comparison of multi-spectral, multi-angular, and multi-temporal remote sensing datasets for fractional shrub canopy mapping in arctic Alaska","volume":"114","author":"Selkowitz","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1007\/s00267-008-9110-x","article-title":"Ground-cover measurements: Assessing correlation among aerial and ground-based methods","volume":"42","author":"Booth","year":"2008","journal-title":"Environ. Manag."},{"key":"ref_53","unstructured":"Boswell, A.K. (2015). Rangeland Monitoring Using Remote Sensing: An Assessment of Vegetation Cover Comparing Field-Based Sampling and Image Analysis Techniques. [Master\u2019s Thesis, Brigham Young University]."},{"key":"ref_54","unstructured":"Karl, J.W., Herrick, J.E., and Pyke, D.A. (2017). Rangeland Systems: Processes, Management and Challenges, Springer."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"179","DOI":"10.2111\/05-069R1.1","article-title":"The accuracy of ground-cover measurements","volume":"59","author":"Booth","year":"2006","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"309","DOI":"10.2111\/REM-D-10-00090.1","article-title":"Comparison of point intercept and image analysis for monitoring rangeland transects","volume":"64","author":"Cagney","year":"2011","journal-title":"Rangel. Ecol. Manag."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"170","DOI":"10.7809\/b-e.00320","article-title":"Rangeland monitoring and assessment: A review","volume":"6","author":"Ramoelo","year":"2018","journal-title":"Biodivers. Ecol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1080\/07038992.2022.2039060","article-title":"Quantifying woody plant encroachment in grasslands: A review on remote sensing approaches","volume":"48","author":"Soubry","year":"2022","journal-title":"Can. J. Remote"},{"key":"ref_59","unstructured":"Holifield Collins, C., Skirvin, S., Curley, D., Corrales, A., Winston, Z., Heilman, P., and Metz, L. (2022, January 12\u201316). Hopping onto airborne-based validation for Landsat-based Rangeland Brush Estimation Tool (RaBET) woody cover maps. Proceedings of the American Geophysical Union, Chicago, IL, USA."},{"key":"ref_60","unstructured":"Briske, D.D. (2011). Conservation Benefits of Rangeland Practices: Assessment, Recommendations, and Knowledge Gaps."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1080\/014311600210830","article-title":"Monitoring vegetation cover across semi-arid regions: Comparison of remote observations from various scales","volume":"21","author":"Leprieur","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"4","DOI":"10.3389\/fenvs.2020.00004","article-title":"Toward operational mapping of woody canopy cover in tropical savannas using Google Earth Engine","volume":"8","author":"Anchang","year":"2020","journal-title":"Front. Environ. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/21\/5102\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:11:28Z","timestamp":1760130688000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/21\/5102"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,25]]},"references-count":62,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["rs15215102"],"URL":"https:\/\/doi.org\/10.3390\/rs15215102","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2023,10,25]]}}}