{"id":"https://openalex.org/W3207374672","doi":"https://doi.org/10.1109/igarss47720.2021.9554114","title":"Improving L-Band SAR Forest Monitoring by Big Data Deep Learning Based on ALOS-2 5 Years Pan-Tropical Observations","display_name":"Improving L-Band SAR Forest Monitoring by Big Data Deep Learning Based on ALOS-2 5 Years Pan-Tropical Observations","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207374672","doi":"https://doi.org/10.1109/igarss47720.2021.9554114","mag":"3207374672"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5047611948","display_name":"Christian N. Koyama","orcid":"https://orcid.org/0000-0003-3469-9764"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]},{"id":"https://openalex.org/I4210142018","display_name":"Matsushiro Seismological Observatory","ror":"https://ror.org/044sckz61","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2801997990","https://openalex.org/I4210142018"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Christian N. Koyama","raw_affiliation_strings":["JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN","School of Science and Engineerig, Tokyo Denki University (TDU), Hatoyama, JAPAN"],"affiliations":[{"raw_affiliation_string":"JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN","institution_ids":["https://openalex.org/I4210142018"]},{"raw_affiliation_string":"School of Science and Engineerig, Tokyo Denki University (TDU), Hatoyama, JAPAN","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101986414","display_name":"Manabu Watanabe","orcid":"https://orcid.org/0000-0002-1130-9420"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Watanabe","raw_affiliation_strings":["School of Science and Engineerig, Tokyo Denki University (TDU), Hatoyama, JAPAN"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineerig, Tokyo Denki University (TDU), Hatoyama, JAPAN","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003513993","display_name":"Edson Eyji Sano","orcid":"https://orcid.org/0000-0001-5760-556X"},"institutions":[{"id":"https://openalex.org/I116268893","display_name":"Brazilian Institute of Environment and Renewable Natural Resources","ror":"https://ror.org/057g0br29","country_code":"BR","type":"government","lineage":["https://openalex.org/I116268893"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edson E. Sano","raw_affiliation_strings":["IBAMA, Remote Sensing Center, DF, BRAZIL"],"affiliations":[{"raw_affiliation_string":"IBAMA, Remote Sensing Center, DF, BRAZIL","institution_ids":["https://openalex.org/I116268893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009434881","display_name":"Masato Hayashi","orcid":"https://orcid.org/0000-0001-6120-9180"},"institutions":[{"id":"https://openalex.org/I4210142018","display_name":"Matsushiro Seismological Observatory","ror":"https://ror.org/044sckz61","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2801997990","https://openalex.org/I4210142018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masato Hayashi","raw_affiliation_strings":["JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN"],"affiliations":[{"raw_affiliation_string":"JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN","institution_ids":["https://openalex.org/I4210142018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078679001","display_name":"Izumi Nagatani","orcid":"https://orcid.org/0000-0003-0638-7464"},"institutions":[{"id":"https://openalex.org/I4210142018","display_name":"Matsushiro Seismological Observatory","ror":"https://ror.org/044sckz61","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2801997990","https://openalex.org/I4210142018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Izumi Nagatani","raw_affiliation_strings":["JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN"],"affiliations":[{"raw_affiliation_string":"JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN","institution_ids":["https://openalex.org/I4210142018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003863167","display_name":"Takeo Tadono","orcid":"https://orcid.org/0000-0003-4313-5645"},"institutions":[{"id":"https://openalex.org/I4210142018","display_name":"Matsushiro Seismological Observatory","ror":"https://ror.org/044sckz61","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2801997990","https://openalex.org/I4210142018"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Tadono","raw_affiliation_strings":["JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN"],"affiliations":[{"raw_affiliation_string":"JAXA, Earth Observation Research Center (EORC), Tsukuba, JAPAN","institution_ids":["https://openalex.org/I4210142018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016225372","display_name":"Masanobu Shimada","orcid":"https://orcid.org/0000-0001-8981-6679"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanobu Shimada","raw_affiliation_strings":["School of Science and Engineerig, Tokyo Denki University (TDU), Hatoyama, JAPAN"],"affiliations":[{"raw_affiliation_string":"School of Science and Engineerig, Tokyo Denki University (TDU), Hatoyama, JAPAN","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5047611948"],"corresponding_institution_ids":["https://openalex.org/I165522056","https://openalex.org/I4210142018"],"apc_list":null,"apc_paid":null,"fwci":0.3571,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59560086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"6747","last_page":"6750"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9995999932289124,"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/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9995999932289124,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9995999932289124,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6292954683303833},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.5846653580665588},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5203230381011963},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4981520175933838},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.43706220388412476},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4258686900138855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35306960344314575},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3518694043159485},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34549182653427124},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13572844862937927},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11491996049880981}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6292954683303833},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.5846653580665588},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5203230381011963},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4981520175933838},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.43706220388412476},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4258686900138855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35306960344314575},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3518694043159485},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34549182653427124},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13572844862937927},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11491996049880981},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1984020445","https://openalex.org/W2148265007","https://openalex.org/W2910286635","https://openalex.org/W2972395751","https://openalex.org/W3008439211","https://openalex.org/W3123683102","https://openalex.org/W3129284925","https://openalex.org/W6790577004"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4375867731","https://openalex.org/W1984559991","https://openalex.org/W1799242668","https://openalex.org/W2502358642","https://openalex.org/W3165883639","https://openalex.org/W2611989081","https://openalex.org/W1847813119","https://openalex.org/W2068956457","https://openalex.org/W2105579152"],"abstract_inverted_index":{"Forest":[0],"observation":[1],"is":[2,34,77,116],"one":[3],"prime":[4],"objective":[5],"for":[6,113],"current":[7],"and":[8,31,110],"future":[9],"L-band":[10,114,137],"SAR":[11,115],"missions.":[12],"Despite":[13],"the":[14,19,23,45,62,127],"tremendous":[15],"achievements":[16],"made":[17],"in":[18,49,79,136,140],"last":[20],"3":[21],"decades,":[22],"reliability":[24],"of":[25,96],"derived":[26],"products,":[27],"e.g.,":[28],"forest":[29,51,82,138],"cover":[30],"biomass":[32],"maps,":[33],"still":[35],"largely":[36],"hampered":[37],"by":[38,68,85],"ill-defined":[39],"backscatter":[40,52],"fluctuations.":[41],"To":[42],"better":[43],"understand":[44],"rain-induced":[46],"noise-like":[47],"variations":[48],"tropical":[50],"timeseries,":[53],"we":[54],"demonstrate":[55],"big":[56],"data":[57,65,105],"deep":[58],"learning":[59],"applications":[60],"exploiting":[61],"unprecedented":[63],"long-term":[64],"sets":[66],"provided":[67],"ALOS-2/PALSAR-2":[69],"from":[70],"2016\u20132021.":[71],"Robust":[72],"fully":[73],"automatic":[74,107],"deforestation":[75],"detection":[76],"achieved":[78],"an":[80,106,141],"operational":[81],"monitoring":[83],"system":[84],"using":[86],"a":[87],"CNN-based":[88],"false":[89],"alarm":[90],"suppression":[91],"method.":[92],"Using":[93],"400":[94],"TB":[95],"ScanSAR":[97],"images":[98],"together":[99],"with":[100],"50":[101],"billion":[102],"auxiliary":[103],"rainfall":[104,108],"prediction":[109],"correction":[111],"procedure":[112],"proposed":[117],"based":[118],"on":[119],"LSTM":[120],"artificial":[121],"neural":[122],"network.":[123],"First":[124],"results":[125],"show":[126],"approach's":[128],"potential":[129],"to":[130],"reliably":[131],"reduce":[132],"rain":[133],"related":[134],"disturbances":[135],"timeseries":[139],"unsupervised":[142],"fashion.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
