{"id":"https://openalex.org/W4388971647","doi":"https://doi.org/10.3390/rs15235488","title":"Is Spectral Unmixing Model or Nonlinear Statistical Model More Suitable for Shrub Coverage Estimation in Shrub-Encroached Grasslands Based on Earth Observation Data? A Case Study in Xilingol Grassland, China","display_name":"Is Spectral Unmixing Model or Nonlinear Statistical Model More Suitable for Shrub Coverage Estimation in Shrub-Encroached Grasslands Based on Earth Observation Data? A Case Study in Xilingol Grassland, China","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4388971647","doi":"https://doi.org/10.3390/rs15235488"},"language":"en","primary_location":{"id":"doi:10.3390/rs15235488","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235488","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5488/pdf?version=1700819159","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/23/5488/pdf?version=1700819159","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101299996","display_name":"Zhengyong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyong Xu","raw_affiliation_strings":["College of Forestry, Southwest Forestry University, Kunming 650224, China","Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Southwest Forestry University, Kunming 650224, China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032138214","display_name":"Bin Sun","orcid":"https://orcid.org/0000-0002-0275-1532"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Sun","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044450794","display_name":"Wangfei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangfei Zhang","raw_affiliation_strings":["College of Forestry, Southwest Forestry University, Kunming 650224, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Southwest Forestry University, Kunming 650224, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110847293","display_name":"Zhihai Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihai Gao","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101479273","display_name":"Wei Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Yue","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452665","display_name":"Han Wang","orcid":"https://orcid.org/0000-0001-9282-2105"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210134523","display_name":"State Forestry and Grassland Administration","ror":"https://ror.org/03f2n3n81","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Wang","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China"],"affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration, Beijing 100091, China","institution_ids":["https://openalex.org/I4210134523"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065620977","display_name":"Zhitao Wu","orcid":"https://orcid.org/0000-0003-2122-7063"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Wu","raw_affiliation_strings":["Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China"],"affiliations":[{"raw_affiliation_string":"Institute of Loess Plateau, Shanxi University, Taiyuan 030006, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109658266","display_name":"Sihan Teng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sihan Teng","raw_affiliation_strings":["Inner Mongolia Autonomous Region Big Data Center, Hohhot 010000, China"],"affiliations":[{"raw_affiliation_string":"Inner Mongolia Autonomous Region Big Data Center, Hohhot 010000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5032138214"],"corresponding_institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4858,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70323126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"15","issue":"23","first_page":"5488","last_page":"5488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shrub","display_name":"Shrub","score":0.9459721446037292},{"id":"https://openalex.org/keywords/grassland","display_name":"Grassland","score":0.8692611455917358},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6626389026641846},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6150690913200378},{"id":"https://openalex.org/keywords/grassland-ecosystem","display_name":"Grassland ecosystem","score":0.42044946551322937},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.4181594252586365},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.39213132858276367},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.32142651081085205},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2906116843223572},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08642429113388062}],"concepts":[{"id":"https://openalex.org/C2778091200","wikidata":"https://www.wikidata.org/wiki/Q42295","display_name":"Shrub","level":2,"score":0.9459721446037292},{"id":"https://openalex.org/C2775835988","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland","level":2,"score":0.8692611455917358},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6626389026641846},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6150690913200378},{"id":"https://openalex.org/C2994424083","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland ecosystem","level":3,"score":0.42044946551322937},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.4181594252586365},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.39213132858276367},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.32142651081085205},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2906116843223572},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08642429113388062},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs15235488","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235488","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5488/pdf?version=1700819159","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2b218b75ea74f2b9d301f957bf7d1d2","is_oa":true,"landing_page_url":"https://doaj.org/article/d2b218b75ea74f2b9d301f957bf7d1d2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 23, p 5488 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs15235488","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15235488","pdf_url":"https://www.mdpi.com/2072-4292/15/23/5488/pdf?version=1700819159","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1862775108","display_name":null,"funder_award_id":"51001010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3281061577","display_name":null,"funder_award_id":"42271407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3756587044","display_name":null,"funder_award_id":"161059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6311684539","display_name":null,"funder_award_id":"202204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6500816380","display_name":null,"funder_award_id":"42161059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8670900173","display_name":null,"funder_award_id":"42001386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388971647.pdf"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W67857992","https://openalex.org/W1964217023","https://openalex.org/W1986440626","https://openalex.org/W1987352360","https://openalex.org/W2017973481","https://openalex.org/W2018027183","https://openalex.org/W2020089616","https://openalex.org/W2038353908","https://openalex.org/W2044465660","https://openalex.org/W2055122322","https://openalex.org/W2056352756","https://openalex.org/W2067398515","https://openalex.org/W2085254577","https://openalex.org/W2094677081","https://openalex.org/W2102614393","https://openalex.org/W2123061447","https://openalex.org/W2127062304","https://openalex.org/W2127994984","https://openalex.org/W2132424470","https://openalex.org/W2139925058","https://openalex.org/W2144733420","https://openalex.org/W2176564912","https://openalex.org/W2261059368","https://openalex.org/W2554218890","https://openalex.org/W2609376528","https://openalex.org/W2789579390","https://openalex.org/W2891385203","https://openalex.org/W2894712623","https://openalex.org/W2905053978","https://openalex.org/W2911964244","https://openalex.org/W2939104056","https://openalex.org/W2995363336","https://openalex.org/W3011940184","https://openalex.org/W3047955358","https://openalex.org/W3049230980","https://openalex.org/W3159632425","https://openalex.org/W3163541793","https://openalex.org/W3175626522","https://openalex.org/W3195973422","https://openalex.org/W3217114266","https://openalex.org/W4206475401","https://openalex.org/W4293222002","https://openalex.org/W4303980539","https://openalex.org/W4308433985","https://openalex.org/W4317243174","https://openalex.org/W4318484122","https://openalex.org/W4327740410","https://openalex.org/W4360615883","https://openalex.org/W4365140173","https://openalex.org/W4367624287","https://openalex.org/W4376278243","https://openalex.org/W4385534714","https://openalex.org/W6654980341","https://openalex.org/W6664395861","https://openalex.org/W6671478198","https://openalex.org/W6678148976","https://openalex.org/W6795215395","https://openalex.org/W6846503768"],"related_works":["https://openalex.org/W2072041090","https://openalex.org/W2351204954","https://openalex.org/W2365932339","https://openalex.org/W633377525","https://openalex.org/W3143781064","https://openalex.org/W4385485557","https://openalex.org/W2334609133","https://openalex.org/W2389767301","https://openalex.org/W2355875570","https://openalex.org/W2349799950"],"abstract_inverted_index":{"Due":[0],"to":[1,97,130,136,185,222,304,341,350],"the":[2,22,35,58,99,102,111,141,151,162,203,224,233,249,263,265,270,276,285,291,313,319,324,332],"effects":[3],"of":[4,21,37,47,62,72,79,104,115,140,143,164,179,205,226,269,284,312,361],"global":[5],"climate":[6],"change":[7],"and":[8,44,60,76,81,106,117,156,158,168,173,192,201,210,243,275,290,355],"altered":[9],"human":[10],"land-use":[11],"patterns,":[12],"typical":[13],"shrub":[14,38,48,84,132,144,214,260,306,343],"encroachment":[15,39,145,344],"in":[16,27,40,50,101,113,134,146,212,216,248,262,299,308,345],"grasslands":[17,67],"has":[18,53,338],"become":[19],"one":[20],"most":[23],"prominent":[24],"ecological":[25],"problems":[26],"grassland":[28,63,73],"ecosystems.":[29,64],"Shrub":[30],"coverage":[31,49,85,133,215,261,307],"can":[32,120,238],"quantitatively":[33],"indicate":[34],"degree":[36],"grasslands;":[41],"therefore,":[42],"real-time":[43],"accurate":[45],"monitoring":[46,360],"large":[51],"areas":[52],"important":[54],"scientific":[55,128,353],"significance":[56],"for":[57,259,357],"protection":[59],"restoration":[61],"As":[65],"shrub-encroached":[66],"(SEGs)":[68],"are":[69,302],"a":[70,122,127,187,193,328,352],"type":[71],"with":[74],"continuous":[75],"alternating":[77],"growth":[78],"shrubs":[80,116,157,242],"grasses,":[82],"estimating":[83,89,213],"is":[86,93,126],"different":[87,206],"from":[88,245],"vegetation":[90,105],"coverage.":[91],"It":[92],"not":[94],"only":[95],"necessary":[96],"consider":[98],"differences":[100,112,153],"characteristics":[103,114],"non-vegetation":[107],"variables":[108],"but":[109],"also":[110],"herbs,":[118],"which":[119,218],"be":[121],"challenging":[123],"estimation.":[124],"There":[125],"need":[129],"estimate":[131,305],"SEGs":[135],"improve":[137],"our":[138],"understanding":[139],"process":[142],"grasslands.":[147,346],"This":[148,347],"article":[149],"discusses":[150],"spectral":[152,189,235,315],"between":[154,166,241],"herbs":[155,167,244],"further":[159],"points":[160],"out":[161],"possibility":[163],"distinguishing":[165],"shrubs.":[169],"We":[170],"use":[171],"Sentinel-2":[172,271,325],"Gao":[174],"Fen-6":[175],"(GF-6)":[176],"Wide":[177],"Field":[178],"View":[180],"(WFV)":[181],"as":[182],"data":[183,207,337],"sources":[184],"build":[186],"linear":[188,234,314],"mixture":[190,236,316],"model":[191,197,237,254,317,321],"random":[194],"forest":[195],"(RF)":[196],"via":[198],"space\u2013air\u2013ground":[199],"collaboration":[200],"investigate":[202],"effectiveness":[204],"sources,":[208],"features":[209],"methods":[211],"SEGs,":[217],"provide":[219,351],"promising":[220],"ways":[221],"monitor":[223,342],"dynamics":[225],"SEGs.":[227,309,362],"The":[228,252,282],"results":[229],"showed":[230,255],"that":[231],"(1)":[232],"hardly":[239],"distinguish":[240],"medium-resolution":[246],"images":[247],"SEG.":[250],"(2)":[251],"RF":[253,300,320],"high":[256],"estimation":[257,266,330],"accuracy":[258,267],"SEG;":[264],"(R2)":[268],"image":[272,287,326],"was":[273,280,288,293],"0.81,":[274],"root-mean-square":[277],"error":[278],"(RMSE)":[279],"0.03.":[281,294],"R2":[283],"GF6-WFV":[286,333],"0.72,":[289],"RMSE":[292],"(3)":[295],"Texture":[296],"feature":[297],"introduced":[298],"models":[301],"helpful":[303],"(4)":[310],"Regardless":[311],"or":[318],"being":[322],"employed,":[323],"presented":[327],"better":[329],"than":[331],"image;":[334],"thus,":[335],"this":[336],"great":[339],"potential":[340],"research":[348],"aims":[349],"basis":[354],"reference":[356],"remote":[358],"sensing-based":[359]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}