{"id":"https://openalex.org/W2043339561","doi":"https://doi.org/10.1109/icsdm.2011.5969069","title":"Forest/non-forest mapping using ENVISAT ASAR data in Northeast China","display_name":"Forest/non-forest mapping using ENVISAT ASAR data in Northeast China","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2043339561","doi":"https://doi.org/10.1109/icsdm.2011.5969069","mag":"2043339561"},"language":"en","primary_location":{"id":"doi:10.1109/icsdm.2011.5969069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2011.5969069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services","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":null,"display_name":"Yanping Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Huang","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China","Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education  Fuzhou University  Fuzhou 350002  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education  Fuzhou University  Fuzhou 350002  China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110136055","display_name":"Feilong Ling","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feilong Ling","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China","Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education  Fuzhou University  Fuzhou 350002  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education  Fuzhou University  Fuzhou 350002  China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058815931","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-8911-1625"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China","Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education  Fuzhou University  Fuzhou 350002  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education  Fuzhou University  Fuzhou 350002  China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100529809","display_name":"Lina Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Bai","raw_affiliation_strings":["Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China","Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101801822","display_name":"Xin Tian","orcid":"https://orcid.org/0000-0002-6142-2982"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tian","raw_affiliation_strings":["Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China","Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]},{"raw_affiliation_string":"Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing, 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"381","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.97079998254776,"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":0.97079998254776,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9448999762535095,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9307000041007996,"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/remote-sensing","display_name":"Remote sensing","score":0.6459295153617859},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6060640811920166},{"id":"https://openalex.org/keywords/object-based","display_name":"Object based","score":0.5536426901817322},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5328296422958374},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4565418064594269},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4140448272228241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3417644202709198},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2639462947845459},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.2403954267501831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13988512754440308}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6459295153617859},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6060640811920166},{"id":"https://openalex.org/C3019973339","wikidata":"https://www.wikidata.org/wiki/Q899523","display_name":"Object based","level":3,"score":0.5536426901817322},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5328296422958374},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4565418064594269},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4140448272228241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3417644202709198},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2639462947845459},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2403954267501831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13988512754440308}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsdm.2011.5969069","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsdm.2011.5969069","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2011 IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"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":11,"referenced_works":["https://openalex.org/W1625488788","https://openalex.org/W1672311450","https://openalex.org/W1885868234","https://openalex.org/W2087306084","https://openalex.org/W2134029679","https://openalex.org/W2142520368","https://openalex.org/W2165690962","https://openalex.org/W2290856915","https://openalex.org/W6636945356","https://openalex.org/W6679766199","https://openalex.org/W6684120202"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W2106540031","https://openalex.org/W1982025852","https://openalex.org/W2047970610","https://openalex.org/W1974511032"],"abstract_inverted_index":{"Large":[0],"scale":[1],"forest":[2],"mapping":[3,98],"and":[4,24,38,63],"change":[5],"detection":[6],"plays":[7],"a":[8,50,68],"significant":[9],"role":[10],"in":[11,18,78],"the":[12,19,54,80,83,95,99],"study":[13],"of":[14,21,82,97],"global":[15],"change,":[16],"particularly":[17],"research":[20],"carbon":[22],"source":[23],"sink.":[25],"This":[26],"paper":[27],"presents":[28],"results":[29],"from":[30,73,86],"forest/non-forest":[31,84],"classification":[32,40],"using":[33],"ENVISAT-ASAR":[34],"data.":[35],"Both":[36],"pixel-based":[37],"object-based":[39,55],"method":[41],"were":[42,60],"developed":[43],"for":[44],"ASAR":[45,87],"HH/HV":[46],"images":[47,76],"acquired":[48,77],"on":[49],"single":[51],"date.":[52],"For":[53],"classification,":[56],"two":[57],"different":[58],"strategies":[59],"proposed:":[61],"rule-set":[62],"threshold-ratio.":[64],"Using":[65],"as":[66],"reference":[67],"land":[69],"use":[70],"map":[71,85],"derived":[72],"Landsat":[74],"TM":[75],"2000,":[79],"accuracy":[81],"AP":[88],"data":[89],"has":[90],"been":[91],"found":[92],"to":[93],"meet":[94],"requirements":[96],"Northeast":[100],"Chinese":[101],"forests":[102],"at":[103],"large":[104],"scale.":[105]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}