{"id":"https://openalex.org/W4291017867","doi":"https://doi.org/10.3390/rs14153837","title":"Real-Time Software for the Efficient Generation of the Clumping Index and Its Application Based on the Google Earth Engine","display_name":"Real-Time Software for the Efficient Generation of the Clumping Index and Its Application Based on the Google Earth Engine","publication_year":2022,"publication_date":"2022-08-08","ids":{"openalex":"https://openalex.org/W4291017867","doi":"https://doi.org/10.3390/rs14153837"},"language":"en","primary_location":{"id":"doi:10.3390/rs14153837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153837","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3837/pdf?version=1660132196","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/2072-4292/14/15/3837/pdf?version=1660132196","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052518440","display_name":"Yu Li","orcid":"https://orcid.org/0000-0001-9037-9525"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Li","raw_affiliation_strings":["Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0001-9037-9525","affiliations":[{"raw_affiliation_string":"Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047869085","display_name":"Hongliang Fang","orcid":"https://orcid.org/0000-0002-6345-1197"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongliang Fang","raw_affiliation_strings":["Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","University of Chinese Academy of Sciences, Beijing 100049, China"],"raw_orcid":"https://orcid.org/0000-0002-6345-1197","affiliations":[{"raw_affiliation_string":"Key Laboratory of Resources and Environmental Information System (LREIS), Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052518440"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793","https://openalex.org/I4210165038"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2784},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2784},"fwci":0.7651,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.70776368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"15","first_page":"3837","last_page":"3837"},"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9993000030517578,"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":0.991100013256073,"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/software","display_name":"Software","score":0.6217138171195984},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4970860779285431},{"id":"https://openalex.org/keywords/hotspot","display_name":"Hotspot (geology)","score":0.481569766998291},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4759799540042877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4612371623516083},{"id":"https://openalex.org/keywords/gee","display_name":"Gee","score":0.460396945476532},{"id":"https://openalex.org/keywords/download","display_name":"Download","score":0.44513756036758423},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4362573027610779},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3939090371131897},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13276591897010803},{"id":"https://openalex.org/keywords/generalized-estimating-equation","display_name":"Generalized estimating equation","score":0.11521250009536743},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11405369639396667},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09426289796829224},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09037524461746216},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07528215646743774}],"concepts":[{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.6217138171195984},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4970860779285431},{"id":"https://openalex.org/C146481406","wikidata":"https://www.wikidata.org/wiki/Q105131","display_name":"Hotspot (geology)","level":2,"score":0.481569766998291},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4759799540042877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4612371623516083},{"id":"https://openalex.org/C53084192","wikidata":"https://www.wikidata.org/wiki/Q1485121","display_name":"Gee","level":3,"score":0.460396945476532},{"id":"https://openalex.org/C2780154274","wikidata":"https://www.wikidata.org/wiki/Q7126717","display_name":"Download","level":2,"score":0.44513756036758423},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4362573027610779},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3939090371131897},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13276591897010803},{"id":"https://openalex.org/C27403532","wikidata":"https://www.wikidata.org/wiki/Q5532474","display_name":"Generalized estimating equation","level":2,"score":0.11521250009536743},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11405369639396667},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09426289796829224},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09037524461746216},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07528215646743774},{"id":"https://openalex.org/C8058405","wikidata":"https://www.wikidata.org/wiki/Q46255","display_name":"Geophysics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14153837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153837","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3837/pdf?version=1660132196","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:46c959b46d6e424d9682150f32a2766c","is_oa":true,"landing_page_url":"https://doaj.org/article/46c959b46d6e424d9682150f32a2766c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 15, p 3837 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/15/3837/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14153837","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 15; Pages: 3837","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14153837","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14153837","pdf_url":"https://www.mdpi.com/2072-4292/14/15/3837/pdf?version=1660132196","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326832","display_name":"State Key Laboratory of Resources and Environmental Information System","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4291017867.pdf","grobid_xml":"https://content.openalex.org/works/W4291017867.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1500576594","https://openalex.org/W1965682604","https://openalex.org/W1982818815","https://openalex.org/W1995103915","https://openalex.org/W2037561217","https://openalex.org/W2041109749","https://openalex.org/W2056941390","https://openalex.org/W2072296145","https://openalex.org/W2090626095","https://openalex.org/W2102970817","https://openalex.org/W2109606373","https://openalex.org/W2113724293","https://openalex.org/W2126219183","https://openalex.org/W2126473364","https://openalex.org/W2140908571","https://openalex.org/W2166897060","https://openalex.org/W2170846069","https://openalex.org/W2217569587","https://openalex.org/W2290326488","https://openalex.org/W2324572666","https://openalex.org/W2333980181","https://openalex.org/W2557136359","https://openalex.org/W2725897987","https://openalex.org/W2739734550","https://openalex.org/W2792077377","https://openalex.org/W2800157783","https://openalex.org/W2801667818","https://openalex.org/W2900137774","https://openalex.org/W2943316090","https://openalex.org/W2969890884","https://openalex.org/W3014625532","https://openalex.org/W3035724593","https://openalex.org/W3094233092","https://openalex.org/W3096720627","https://openalex.org/W3097718639","https://openalex.org/W3133771980","https://openalex.org/W3205077602","https://openalex.org/W3208729271","https://openalex.org/W6604233986","https://openalex.org/W6775784906","https://openalex.org/W6784689510"],"related_works":["https://openalex.org/W4382706259","https://openalex.org/W2183842793","https://openalex.org/W3216953802","https://openalex.org/W2259148854","https://openalex.org/W2315880189","https://openalex.org/W2588341283","https://openalex.org/W2408764787","https://openalex.org/W1980133991","https://openalex.org/W4385122440","https://openalex.org/W2808195958"],"abstract_inverted_index":{"Canopy":[0],"clumping":[1],"index":[2],"(CI)":[3],"is":[4,20,145],"a":[5,112],"key":[6],"structural":[7],"parameter":[8],"related":[9],"to":[10,48,60,104,122,130],"vegetation":[11],"phenology":[12],"and":[13,18,38,65,76,84,164],"the":[14,33,50,55,67,89,95,108,120,124,136,150,161],"absorption":[15],"of":[16,69,138,149,166],"radiation,":[17],"it":[19],"usually":[21],"retrieved":[22],"from":[23,128],"remote":[24],"sensing":[25],"data":[26,105],"based":[27,53],"on":[28,54,119],"an":[29],"empirical":[30],"relationship":[31],"with":[32,99],"Normalized":[34],"Difference":[35],"between":[36],"Hotspot":[37],"Darkspot":[39],"(NDHD)":[40],"index.":[41],"A":[42],"rapid":[43],"production":[44],"software":[45],"was":[46,117],"developed":[47],"implement":[49],"CI":[51,63,70,79,100,126],"algorithm":[52],"Google":[56],"Earth":[57],"Engine":[58],"(GEE)":[59],"update":[61],"current":[62],"products":[64,80],"promote":[66],"application":[68,109],"in":[71,86],"different":[72],"fields.":[73],"Daily,":[74],"monthly,":[75],"yearly":[77],"global":[78,125],"are":[81],"continuously":[82],"generated":[83],"updated":[85],"real-time":[87],"by":[88],"software.":[90],"Users":[91],"can":[92],"directly":[93],"download":[94],"product":[96],"or":[97],"work":[98,158],"without":[101],"paying":[102],"attention":[103],"generation.":[106],"For":[107],"case":[110],"study,":[111],"change":[113],"detection":[114],"algorithm,":[115],"LandTrendr,":[116],"implemented":[118],"GEE":[121],"examine":[123],"trend":[127,140,152],"2000":[129],"2020.":[131],"The":[132],"results":[133],"indicate":[134],"that":[135,148],"area":[137],"increase":[139],"(28.7%,":[141],"\u0394CI":[142,154],"&gt;":[143],"0.02)":[144],"greater":[146],"than":[147],"decrease":[151],"(17.1%,":[153],"&lt;":[155],"\u22120.02).":[156],"Our":[157],"contributes":[159],"toward":[160],"retrieval,":[162],"application,":[163],"validation":[165],"CI.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
