{"id":"https://openalex.org/W2548216375","doi":"https://doi.org/10.1109/igarss.2016.7729453","title":"Walking with green scenery: Exploring street-level greenery in terms of visual perception","display_name":"Walking with green scenery: Exploring street-level greenery in terms of visual perception","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2548216375","doi":"https://doi.org/10.1109/igarss.2016.7729453","mag":"2548216375"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5100383582","display_name":"Jiahui Zhang","orcid":"https://orcid.org/0009-0005-7407-2394"},"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/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Zhang","raw_affiliation_strings":["Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China","Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China","Ministry of Land and Resources, Key Laboratory of Urban Land Resources Monitoring and Simulation, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Ministry of Land and Resources, Key Laboratory of Urban Land Resources Monitoring and Simulation, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046972821","display_name":"Qingyan Meng","orcid":"https://orcid.org/0000-0002-5440-4081"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingyan Meng","raw_affiliation_strings":["Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101728570","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-1995-5494"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100965182","display_name":"Yunxiao Sun","orcid":"https://orcid.org/0000-0001-6464-5762"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunxiao Sun","raw_affiliation_strings":["Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437369","display_name":"Linlin Zhang","orcid":"https://orcid.org/0000-0001-5073-1694"},"institutions":[{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Zhang","raw_affiliation_strings":["Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Earth Observation System Division, Institute of Remote Sensing and Digital Earth, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1768","last_page":"1771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10692","display_name":"Urban Green Space and Health","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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/T10692","display_name":"Urban Green Space and Health","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"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":0.9952999949455261,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9947999715805054,"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/lidar","display_name":"Lidar","score":0.8431868553161621},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5715001225471497},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5407727956771851},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5395218133926392},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5235033631324768},{"id":"https://openalex.org/keywords/street-network","display_name":"Street network","score":0.47134754061698914},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.44887781143188477},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.44229772686958313},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4304150342941284},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39894944429397583},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3472071886062622},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3263900876045227},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.2613145709037781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23041778802871704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17080140113830566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13721570372581482},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11625176668167114}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.8431868553161621},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5715001225471497},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5407727956771851},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5395218133926392},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235033631324768},{"id":"https://openalex.org/C2778625738","wikidata":"https://www.wikidata.org/wiki/Q358078","display_name":"Street network","level":2,"score":0.47134754061698914},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.44887781143188477},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.44229772686958313},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4304150342941284},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39894944429397583},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3472071886062622},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3263900876045227},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.2613145709037781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23041778802871704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17080140113830566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13721570372581482},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11625176668167114},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729453","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W121869782","https://openalex.org/W212574498","https://openalex.org/W631895740","https://openalex.org/W1984792290","https://openalex.org/W2012111704","https://openalex.org/W2044528523","https://openalex.org/W2065258204","https://openalex.org/W2068241800","https://openalex.org/W2159105546","https://openalex.org/W6604931032"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W1964041166","https://openalex.org/W4390887692","https://openalex.org/W4210818033","https://openalex.org/W4221065211"],"abstract_inverted_index":{"A":[0],"potential":[1],"application":[2],"of":[3,19,25,49,53,68],"LiDAR":[4,26,45],"data":[5,46],"in":[6,13],"street-level":[7,69],"greenery":[8,40],"assessment":[9],"has":[10],"been":[11],"explored":[12],"this":[14],"study.":[15],"Taking":[16],"full":[17],"advantage":[18],"the":[20,51,61],"fine-scale":[21],"tree":[22],"structure":[23],"modeling":[24],"data,":[27],"we":[28],"propose":[29],"a":[30],"new":[31],"green":[32],"view":[33],"index":[34],"calculation":[35,62],"method":[36,63],"to":[37],"assess":[38],"street":[39],"visualization.":[41],"Results":[42],"indicate":[43],"that":[44],"is":[47],"capable":[48],"differentiating":[50],"amount":[52],"greenness":[54],"being":[55],"perceived":[56],"from":[57],"different":[58],"sites":[59],"and":[60],"gives":[64],"an":[65],"objective":[66],"measure":[67],"greenery.":[70]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
