{"id":"https://openalex.org/W2972140071","doi":"https://doi.org/10.1109/agro-geoinformatics.2019.8820469","title":"Gobal Forest Cover Mapping using Landsat and Google Earth Engine cloud computing","display_name":"Gobal Forest Cover Mapping using Landsat and Google Earth Engine cloud computing","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2972140071","doi":"https://doi.org/10.1109/agro-geoinformatics.2019.8820469","mag":"2972140071"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2019.8820469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2019.8820469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","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/A5018224428","display_name":"X. M. Zhang","orcid":"https://orcid.org/0000-0002-1270-5409"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaomei Zhang","raw_affiliation_strings":["Aerospace Information Research Institute (Chinese Academy of Sciences), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (Chinese Academy of Sciences), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112970588","display_name":"Tengfei Long","orcid":"https://orcid.org/0000-0003-3572-4415"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengfei Long","raw_affiliation_strings":["Aerospace Information Research Institute (Chinese Academy of Sciences), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (Chinese Academy of Sciences), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048350041","display_name":"Guojin He","orcid":"https://orcid.org/0000-0001-7225-7276"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojin He","raw_affiliation_strings":["Aerospace Information Research Institute (Chinese Academy of Sciences), Beijing, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Research Institute (Chinese Academy of Sciences), Beijing, China","institution_ids":["https://openalex.org/I4210137199","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047185733","display_name":"Yantao Guo","orcid":"https://orcid.org/0000-0002-0272-784X"},"institutions":[{"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":"Yantao Guo","raw_affiliation_strings":["University of Chinese Academy of Sciences (Chinese Academy of Sciences), Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences (Chinese Academy of Sciences), Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018224428"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137199"],"apc_list":null,"apc_paid":null,"fwci":1.1922,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79689034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994000196456909,"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":0.9994000196456909,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9975000023841858,"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/remote-sensing","display_name":"Remote sensing","score":0.7239876985549927},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6584880352020264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5744255185127258},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5404632091522217},{"id":"https://openalex.org/keywords/cloud-cover","display_name":"Cloud cover","score":0.5217429399490356},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4843981862068176},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4602569043636322},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4423680603504181},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4393787384033203},{"id":"https://openalex.org/keywords/biosphere","display_name":"Biosphere","score":0.4276413321495056},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.23632201552391052},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2038130760192871},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20128759741783142}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7239876985549927},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6584880352020264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5744255185127258},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5404632091522217},{"id":"https://openalex.org/C206887242","wikidata":"https://www.wikidata.org/wiki/Q830457","display_name":"Cloud cover","level":3,"score":0.5217429399490356},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4843981862068176},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4602569043636322},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4423680603504181},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4393787384033203},{"id":"https://openalex.org/C107218244","wikidata":"https://www.wikidata.org/wiki/Q42762","display_name":"Biosphere","level":2,"score":0.4276413321495056},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.23632201552391052},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2038130760192871},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20128759741783142},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2019.8820469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2019.8820469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1964996721","https://openalex.org/W1981213426","https://openalex.org/W2030851497","https://openalex.org/W2151456308","https://openalex.org/W2272473773","https://openalex.org/W2344328155","https://openalex.org/W2725897987"],"related_works":["https://openalex.org/W13275046","https://openalex.org/W1994760763","https://openalex.org/W3205288965","https://openalex.org/W760812393","https://openalex.org/W2056248242","https://openalex.org/W2587044545","https://openalex.org/W2126508368","https://openalex.org/W4206580269","https://openalex.org/W3205068641","https://openalex.org/W3098233728"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,7,17,28,46,55,97,111,135,170,177,184,198,206,212,250,271,283,286],"access":[2],"of":[3,10,24,49,59,77,88,102,115,144,172,200,208,215,235,245,285],"Landsat":[4,22,78,106],"data-sets":[5],"and":[6,80,119,129,175,211,222,233,269],"ever-lowering":[8],"costs":[9],"computing":[11,57],"make":[12],"it":[13],"feasible":[14],"to":[15,99,165],"monitor":[16],"Earth's":[18],"land":[19],"cover":[20,104,237,247,276,288],"at":[21,105],"resolutions":[23],"30":[25],"meter.":[26],"However,":[27],"rapid":[29],"forest-covered":[30],"products":[31,101,248],"on":[32,197,255,261],"a":[33,81,142,146,159,190],"large":[34],"scale,":[35],"such":[36],"as":[37,52,54,189],"intercontinental":[38],"or":[39],"global,":[40],"is":[41,90],"still":[42],"challenging.":[43],"By":[44],"utilizing":[45],"huge":[47],"catalog":[48],"satellite":[50,173,193,264],"imagery":[51,265],"well":[53],"high-performance":[56],"capacity":[58],"Google":[60],"Earth":[61],"Engine,":[62],"we":[63,95,109,229],"proposed":[64],"an":[65],"automated":[66,231],"pipeline":[67],"for":[68,153,238],"generating":[69],"30-meter":[70,83],"resolution":[71,84,263],"global-scale":[72],"forest":[73,86,103,117,137,178,201,209,220,224,236,246,275,287],"map":[74,87],"from":[75,141],"time-series":[76],"images,":[79],"novel":[82],"global":[85],"2018":[89,188],"released.":[91],"In":[92],"this":[93],"paper,":[94],"describe":[96],"methods":[98,280],"create":[100],"resolutions.":[107],"First,":[108],"partitioned":[110],"landscapes":[112],"into":[113],"sub-regions":[114],"similar":[116],"type":[118],"spatial":[120],"continuity,":[121],"thus":[122],"maximizing":[123],"spectral":[124],"differentiation,":[125],"simplifying":[126],"classifier":[127,181],"model":[128],"improving":[130],"classification":[131,234],"accuracy.":[132],"Then,":[133],"with":[134],"existing":[136],"cover,":[138],"which":[139],"come":[140],"variety":[143],"sources,":[145],"multi-source":[147,223],"forest/non-forest":[148],"sample":[149,227],"set":[150],"was":[151,163,253],"established":[152,219],"machine":[154,160],"algorithm":[155,162],"learning":[156,161,232],"training.":[157],"Finally,":[158],"used":[164],"obtain":[166],"samples":[167],"automatically,":[168],"extract":[169],"characteristics":[171],"images":[174,186],"establish":[176],"/":[179,225],"non-forest":[180,226],"models.":[182],"Taking":[183],"Landsat8":[185],"in":[187,249],"case,":[191],"selecting":[192],"image":[194],"features":[195,214],"based":[196],"study":[199],"reflectance,":[202],"including":[203],"onboard":[204],"reflectivity,":[205],"index":[207],"vegetation":[210],"texture":[213],"each":[216],"band,":[217],"using":[218],"eco-zoning":[221],"points,":[228],"realized":[230],"three":[239,251],"initial":[240],"zones.":[241],"The":[242],"accuracy":[243,284],"verification":[244,259],"region":[252],"carried":[254],"two":[256,279],"aspects:":[257],"collecting":[258],"points":[260],"high":[262],"(e.g.":[266],"google":[267],"earth),":[268],"cross-validating":[270],"current":[272],"globally":[273],"disclosed":[274],"products.":[277],"These":[278],"will":[281],"illustrate":[282],"product.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}