{"id":"https://openalex.org/W4281674422","doi":"https://doi.org/10.3390/rs14112542","title":"Quantitative Evaluation of Grassland SOS Estimation Accuracy Based on Different MODIS-Landsat Spatio-Temporal Fusion Datasets","display_name":"Quantitative Evaluation of Grassland SOS Estimation Accuracy Based on Different MODIS-Landsat Spatio-Temporal Fusion Datasets","publication_year":2022,"publication_date":"2022-05-26","ids":{"openalex":"https://openalex.org/W4281674422","doi":"https://doi.org/10.3390/rs14112542"},"language":"en","primary_location":{"id":"doi:10.3390/rs14112542","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112542","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2542/pdf?version=1653828607","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/2072-4292/14/11/2542/pdf?version=1653828607","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080485606","display_name":"Yungang Cao","orcid":"https://orcid.org/0000-0003-0495-594X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yungang Cao","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015050368","display_name":"Puying Du","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puying Du","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709673","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0002-9118-0603"},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["School of Grassland Science, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Grassland Science, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053896368","display_name":"Xueqin Bai","orcid":"https://orcid.org/0000-0002-3517-6490"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqin Bai","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009218831","display_name":"Ruodan Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruodan Lei","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102208121","display_name":"Xiuchun Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuchun Yang","raw_affiliation_strings":["School of Grassland Science, Beijing Forestry University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"School of Grassland Science, Beijing Forestry University, Beijing 100083, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102208121"],"corresponding_institution_ids":["https://openalex.org/I31683504"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8372,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7299081,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"14","issue":"11","first_page":"2542","last_page":"2542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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":0.9994999766349792,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9767000079154968,"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/remote-sensing","display_name":"Remote sensing","score":0.744614839553833},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7235310077667236},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.6333872079849243},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5312711000442505},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4879586100578308},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48415595293045044},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.45694905519485474},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4156322479248047},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17206895351409912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1683821678161621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12342771887779236},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1232079267501831}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.744614839553833},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7235310077667236},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.6333872079849243},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5312711000442505},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4879586100578308},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48415595293045044},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.45694905519485474},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4156322479248047},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17206895351409912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1683821678161621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12342771887779236},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1232079267501831},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14112542","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112542","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2542/pdf?version=1653828607","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:f16103a2cbeb4a09b8dd19aee14e5f43","is_oa":true,"landing_page_url":"https://doaj.org/article/f16103a2cbeb4a09b8dd19aee14e5f43","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 14, Iss 11, p 2542 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/11/2542/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14112542","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 11; Pages: 2542","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14112542","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14112542","pdf_url":"https://www.mdpi.com/2072-4292/14/11/2542/pdf?version=1653828607","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","score":0.6299999952316284,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G7557622029","display_name":null,"funder_award_id":"41571105","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281674422.pdf","grobid_xml":"https://content.openalex.org/works/W4281674422.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1910947081","https://openalex.org/W1970515153","https://openalex.org/W1974047452","https://openalex.org/W1978933711","https://openalex.org/W1982956952","https://openalex.org/W1993027380","https://openalex.org/W1993577784","https://openalex.org/W2002230897","https://openalex.org/W2003224325","https://openalex.org/W2007468519","https://openalex.org/W2027690707","https://openalex.org/W2031330407","https://openalex.org/W2031596845","https://openalex.org/W2036627824","https://openalex.org/W2037364101","https://openalex.org/W2056811372","https://openalex.org/W2071518857","https://openalex.org/W2074222846","https://openalex.org/W2082263501","https://openalex.org/W2088603520","https://openalex.org/W2113503197","https://openalex.org/W2115920710","https://openalex.org/W2115952782","https://openalex.org/W2116749722","https://openalex.org/W2131062081","https://openalex.org/W2136786594","https://openalex.org/W2138751033","https://openalex.org/W2158818983","https://openalex.org/W2162450543","https://openalex.org/W2176238593","https://openalex.org/W2183734934","https://openalex.org/W2272679289","https://openalex.org/W2355831956","https://openalex.org/W2489666958","https://openalex.org/W2552805558","https://openalex.org/W2767157054","https://openalex.org/W2782380681","https://openalex.org/W2793445582","https://openalex.org/W2795018073","https://openalex.org/W2798187540","https://openalex.org/W2805817271","https://openalex.org/W2888261510","https://openalex.org/W2913229523","https://openalex.org/W2916026936","https://openalex.org/W2918417245","https://openalex.org/W2943896664","https://openalex.org/W2947946094","https://openalex.org/W3012482138"],"related_works":["https://openalex.org/W2102148524","https://openalex.org/W1980470275","https://openalex.org/W2314720829","https://openalex.org/W2086322839","https://openalex.org/W2576994247","https://openalex.org/W2344971351","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Estimating":[0],"the":[1,10,22,25,33,75,105,119,128,134,157,172,189,195,216,219,223,227,230,236,239,255,266,269,283,287],"Start":[2],"of":[3,7,24,36,53,78,93,101,107,159,179,218,229,238,244,268],"Growing":[4],"Season":[5],"(SOS)":[6],"grassland":[8,276],"on":[9,57,68,127,163,182,199,247],"global":[11],"scale":[12],"is":[13,97,123,186,191,206,257,295],"an":[14],"important":[15],"scientific":[16],"issue":[17],"since":[18],"it":[19],"can":[20],"reflect":[21],"response":[23],"terrestrial":[26],"ecosystem":[27],"to":[28,73,83],"environmental":[29],"changes":[30],"and":[31,46,82,136,143,188,254,290],"determine":[32],"start":[34],"time":[35],"grazing.":[37],"However,":[38],"most":[39],"remote":[40,58,79,90],"sensing":[41,59,80,91],"data":[42,70,109,221,271],"has":[43,66,168],"coarse-":[44],"temporal":[45],"spatial":[47],"resolution,":[48],"resulting":[49],"in":[50,112,116,146,274],"low":[51],"accuracy":[52,106,122,158,197,237],"SOS":[54,113,120,160,180,224,240,245,277,298],"retrieval":[55],"based":[56,126,162,181,198,246],"methods.":[60],"In":[61],"recent":[62],"years,":[63],"much":[64],"research":[65],"focused":[67],"multi-source":[69],"fusion":[71,110,130,165,210,231,272],"technology":[72],"improve":[74],"spatio-temporal":[76,129,164,270],"resolution":[77],"information,":[81],"provide":[84],"a":[85,99],"feasible":[86],"path":[87],"for":[88,104,292,297],"high-accuracy":[89,275],"inversion":[92],"SOS.":[94],"Nevertheless,":[95],"there":[96],"still":[98],"lack":[100,217],"quantitative":[102],"evaluation":[103],"these":[108],"methods":[111],"estimation.":[114,241,278,299],"Therefore,":[115],"this":[117],"study,":[118],"estimation":[121,161,196],"quantitatively":[124],"evaluated":[125],"daily":[131,166,209],"datasets":[132,167,185,202,211],"through":[133],"Spatial":[135],"Temporal":[137],"Adaptive":[138],"Reflectance":[139],"Fusion":[140],"Model":[141],"(STARFM)":[142],"other":[144],"models":[145,250],"Xilinhot":[147],"City,":[148],"Inner":[149],"Mongolia,":[150],"China.":[151],"The":[152,242,263],"results":[153,264],"show":[154],"that:":[155],"(1)":[156],"been":[169],"slightly":[170],"improved,":[171],"average":[173],"Root":[174],"Mean":[175],"Square":[176],"Error":[177],"(RMSE)":[178],"8d":[183,200],"composite":[184,201],"11.1d,":[187,253],"best":[190],"9.7d":[192],"(fstarfm8);":[193],"(2)":[194],"(RMSE\u00af":[203,212],"=":[204,213],"11.1d)":[205],"better":[207,296],"than":[208],"18.2d);":[214],"(3)":[215],"Landsat":[220],"during":[222],"would":[225],"decrease":[226],"quality":[228],"datasets,":[232],"which":[233],"ultimately":[234],"reduces":[235],"RMSE\u00af":[243],"all":[248],"three":[249],"increases":[251,261],"by":[252,286],"STARFM":[256,288],"least":[258],"affected,":[259],"just":[260],"2.7d.":[262],"highlight":[265],"potential":[267],"method":[273],"It":[279],"also":[280],"shows":[281],"that":[282],"dataset":[284],"fused":[285],"algorithm":[289],"composed":[291],"8":[293],"days":[294]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-06-13T00:00:00"}
