{"id":"https://openalex.org/W2014522318","doi":"https://doi.org/10.1109/igarss.2012.6351202","title":"Comparison and analysis of two fractal dimension computing algorithms for upscaling remote sensing Leaf Area Index map","display_name":"Comparison and analysis of two fractal dimension computing algorithms for upscaling remote sensing Leaf Area Index map","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2014522318","doi":"https://doi.org/10.1109/igarss.2012.6351202","mag":"2014522318"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100351181","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4728-1519"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711257","display_name":"Huazhu Xue","orcid":"https://orcid.org/0000-0003-4046-7935"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhu Xue","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656977","display_name":"Jindi Wang","orcid":"https://orcid.org/0000-0003-4962-4888"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindi Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052377332","display_name":"Hongmin Zhou","orcid":"https://orcid.org/0000-0001-7384-6152"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Zhou","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored, the Institute of Remote Sensing Applications, CAS, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, School of Geography, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications, CAS, China, 100875","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100351181"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08812307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"156","issue":null,"first_page":"1684","last_page":"1687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.987500011920929,"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":0.987500011920929,"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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.7790103554725647},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.740520715713501},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.6747622489929199},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6415412425994873},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.5229000449180603},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5185704827308655},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49683645367622375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47089651226997375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45760440826416016},{"id":"https://openalex.org/keywords/dbc","display_name":"dBc","score":0.4452645182609558},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17820435762405396},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.158227801322937},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15114066004753113},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.13612821698188782},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11312848329544067},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08212164044380188}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.7790103554725647},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.740520715713501},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.6747622489929199},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6415412425994873},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.5229000449180603},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5185704827308655},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49683645367622375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47089651226997375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45760440826416016},{"id":"https://openalex.org/C193523891","wikidata":"https://www.wikidata.org/wiki/Q1771950","display_name":"dBc","level":3,"score":0.4452645182609558},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17820435762405396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.158227801322937},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15114066004753113},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.13612821698188782},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11312848329544067},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08212164044380188},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C89631360","wikidata":"https://www.wikidata.org/wiki/Q1428766","display_name":"Phase noise","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2012.6351202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1969324628","https://openalex.org/W1993650430","https://openalex.org/W2030233683","https://openalex.org/W2056830321","https://openalex.org/W2141721503","https://openalex.org/W2151647593","https://openalex.org/W2157503452","https://openalex.org/W4287184047"],"related_works":["https://openalex.org/W2394117909","https://openalex.org/W2896054214","https://openalex.org/W2355197944","https://openalex.org/W2017118246","https://openalex.org/W2354661593","https://openalex.org/W2382240109","https://openalex.org/W2368475191","https://openalex.org/W2391311021","https://openalex.org/W2389188284","https://openalex.org/W2026209355"],"abstract_inverted_index":{"The":[0,134,171],"Leaf":[1],"Area":[2,97],"Index":[3],"(LAI)":[4],"values":[5],"derived":[6],"from":[7],"remote":[8],"sensing":[9],"images":[10],"with":[11,183],"different":[12,122,150],"resolutions":[13],"can":[14,72,158],"be":[15,44,73],"different,":[16],"because":[17],"of":[18,21,56,67,84,116,119,129,137,163,173,187,204],"the":[19,26,31,37,47,54,64,69,81,114,126,147,160,168,184,190,201],"heterogeneity":[20,118],"land":[22],"surface.":[23],"To":[24],"validate":[25],"coarse":[27,48],"resolution":[28,39],"LAI":[29,34,40,71,120,164,177,194],"product,":[30],"in":[32,108,121],"situ":[33],"measurements":[35],"and":[36,100,131,175,192],"high":[38],"map":[41,178,195],"need":[42],"to":[43,46,62,145],"upscaled":[45,74,132,176,193],"resolution(such":[49],"as":[50],"1":[51],"km).":[52],"As":[53],"principle":[55],"fractal":[57,85],"geometry":[58],"has":[59],"been":[60],"applied":[61],"describe":[63],"irregular":[65],"distribution":[66,128,166],"vegetation,":[68,188],"measured":[70],"using":[75,179,196],"Fractal":[76],"Dimension":[77],"(FD)":[78],"which":[79],"is":[80,181],"key":[82],"parameter":[83],"geometry.":[86],"In":[87],"this":[88],"paper":[89],"two":[90,109],"FD":[91,130,174,191],"computing":[92,138],"algorithms,":[93],"Triangular":[94],"Prism":[95],"Surface":[96],"method":[98],"(TPSA)":[99],"Differential":[101],"Box":[102],"Counting":[103],"algorithm":[104,154,198],"(DBC),":[105],"were":[106],"compared":[107],"aspects.":[110],"One":[111],"aspect":[112],"was":[113,125],"ability":[115],"describing":[117],"landscapes;":[123],"another":[124],"spatial":[127,165],"LAI.":[133],"log-log":[135],"curves":[136],"algorithms":[139],"showed":[140],"that":[141],"TPSA":[142,157,180],"performs":[143],"better":[144],"capture":[146,200],"difference":[148],"between":[149],"landscapes":[151],"than":[152],"DBC":[153,169,197],"does.":[155],"Also":[156],"detect":[159],"scale":[161],"inflexion":[162],"but":[167],"can't.":[170],"pattern":[172,186,203],"similar":[182],"real":[185,202],"while":[189],"cannot":[199],"vegetation.":[205]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}