{"id":"https://openalex.org/W2115059628","doi":"https://doi.org/10.1109/igarss.2004.1369842","title":"Study on scale scope and regional consistency of earth scene heterogeneity","display_name":"Study on scale scope and regional consistency of earth scene heterogeneity","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2115059628","doi":"https://doi.org/10.1109/igarss.2004.1369842","mag":"2115059628"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1369842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100744300","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-9735-1098"},"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":"Hao Zhang","raw_affiliation_strings":["Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004770935","display_name":"Ziti Jiao","orcid":"https://orcid.org/0000-0002-3701-0830"},"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":"Ziti Jiao","raw_affiliation_strings":["Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029611407","display_name":"Jun Qin","orcid":"https://orcid.org/0000-0002-7483-2366"},"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":"Jun Qin","raw_affiliation_strings":["Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100717703","display_name":"Xiaowen Li","orcid":"https://orcid.org/0000-0001-9776-5680"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"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/I4210117728","display_name":"Center For Remote Sensing (United States)","ror":"https://ror.org/021wvg932","country_code":"US","type":"company","lineage":["https://openalex.org/I4210117728"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Xiaowen Li","raw_affiliation_strings":["Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA","Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geography and Center for Remote Sensing, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046","https://openalex.org/I4210117728"]},{"raw_affiliation_string":"Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]},{"author_position":"last","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":["Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Remote Sensing, Department of Geography, Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2643","last_page":"2646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9991999864578247,"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/T13203","display_name":"Environmental Changes in China","score":0.9922999739646912,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9832000136375427,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/variogram","display_name":"Variogram","score":0.7848175764083862},{"id":"https://openalex.org/keywords/spatial-heterogeneity","display_name":"Spatial heterogeneity","score":0.7520474195480347},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6404972672462463},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6027086973190308},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.5898716449737549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.512556791305542},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4928882122039795},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4558112323284149},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4526287913322449},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44042062759399414},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43480437994003296},{"id":"https://openalex.org/keywords/spatial-ecology","display_name":"Spatial ecology","score":0.43265390396118164},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4300777018070221},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.36998575925827026},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3493608236312866},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32172322273254395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2982524037361145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2932540476322174},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.29058653116226196},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.26874199509620667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13667339086532593},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.11393311619758606},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.11101746559143066}],"concepts":[{"id":"https://openalex.org/C154881674","wikidata":"https://www.wikidata.org/wiki/Q2269270","display_name":"Variogram","level":3,"score":0.7848175764083862},{"id":"https://openalex.org/C180478619","wikidata":"https://www.wikidata.org/wiki/Q7574066","display_name":"Spatial heterogeneity","level":2,"score":0.7520474195480347},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6404972672462463},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6027086973190308},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.5898716449737549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.512556791305542},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4928882122039795},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4558112323284149},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4526287913322449},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44042062759399414},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43480437994003296},{"id":"https://openalex.org/C158709400","wikidata":"https://www.wikidata.org/wiki/Q3578586","display_name":"Spatial ecology","level":2,"score":0.43265390396118164},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4300777018070221},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.36998575925827026},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3493608236312866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32172322273254395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2982524037361145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2932540476322174},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.29058653116226196},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.26874199509620667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13667339086532593},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.11393311619758606},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.11101746559143066},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1369842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1839119662","https://openalex.org/W1973503144","https://openalex.org/W2101842590","https://openalex.org/W2105058098","https://openalex.org/W2125215346","https://openalex.org/W2152656408","https://openalex.org/W2158834676","https://openalex.org/W2167463602","https://openalex.org/W2575089386"],"related_works":["https://openalex.org/W1982669779","https://openalex.org/W2050700704","https://openalex.org/W2375609746","https://openalex.org/W2379301162","https://openalex.org/W2963387968","https://openalex.org/W4239351380","https://openalex.org/W1982560100","https://openalex.org/W1486009484","https://openalex.org/W2378714121","https://openalex.org/W2348539026"],"abstract_inverted_index":{"In":[0,75],"our":[1,135],"former":[2,136],"research,":[3,77],"we":[4,78,149],"raised":[5],"the":[6,12,16,22,25,40,44,53,69,91,98,126,140,143,168],"concept":[7,127],"of":[8,24,27,55,58,100,120,128,142,157,170,181],"histo-variogram":[9],"to":[10,80,138],"describe":[11],"spatial":[13,29,45],"heterogeneity":[14,46,54,92,99,141,169,180],"among":[15],"Earth":[17,59,103,144,172,183],"objects":[18],"compactly":[19],"based":[20],"on":[21],"analysis":[23],"characteristics":[26],"other":[28,41,70],"analyzing":[30],"methods":[31],"such":[32],"as":[33],"variogram":[34],"information":[35],"entropy.":[36],"Just":[37],"like":[38],"all":[39],"nature":[42],"phenomenon,":[43],"is":[47,109,151],"also":[48],"scale":[49,64,71,87,177],"dependent.":[50],"That":[51],"is,":[52],"one":[56,86],"kind":[57],"scene":[60,104],"at":[61,68],"a":[62,101],"certain":[63],"may":[65],"become":[66],"homogeneous":[67],"and":[72,179],"vice":[73],"versa.":[74],"current":[76],"want":[79],"find:":[81],"(1)":[82],"if":[83,97],"there":[84],"exists":[85],"scope":[88,178],"in":[89,134],"which":[90],"keeps":[93],"relative":[94],"stabilization;":[95],"(2)":[96],"specific":[102,176],"has":[105,174],"regional":[106,186],"coherence.":[107,187],"This":[108],"very":[110],"important":[111],"for":[112],"model":[113],"selection":[114],"or":[115],"parameter":[116],"adjustment":[117],"during":[118],"inversion":[119],"quantitative":[121],"remote":[122],"sensing.":[123],"We":[124],"use":[125],"\"total":[129],"fractal":[130],"dimension\"":[131],"that":[132,167],"arose":[133],"research":[137],"measure":[139],"scene.":[145],"The":[146,163],"data":[147],"source":[148],"used":[150],"stochastic":[152],"sampled":[153],"sub-regions":[154],"from":[155],"LUCC":[156],"Beijing":[158],"district":[159],"with":[160],"different":[161,171],"scales.":[162],"preparatory":[164],"result":[165],"shows":[166],"scenes":[173,184],"its":[175],"most":[182],"have":[185]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}