{"id":"https://openalex.org/W3175322521","doi":"https://doi.org/10.1109/igarss47720.2021.9554536","title":"Deep Learning for Mapping the Amazon Rainforest with TanDEM-X","display_name":"Deep Learning for Mapping the Amazon Rainforest with TanDEM-X","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3175322521","doi":"https://doi.org/10.1109/igarss47720.2021.9554536","mag":"3175322521"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554536","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/A5066927001","display_name":"Jos\u00e9\u2013Luis Bueso\u2013Bello","orcid":"https://orcid.org/0000-0003-3464-2186"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jose-Luis Bueso-Bello","raw_affiliation_strings":["German Aerospace Center (DLR), Microwaves and Radar Institute"],"affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), Microwaves and Radar Institute","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005759633","display_name":"Andrea Pulella","orcid":"https://orcid.org/0000-0001-6295-617X"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andrea Pulella","raw_affiliation_strings":["German Aerospace Center (DLR), Microwaves and Radar Institute"],"affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), Microwaves and Radar Institute","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027211703","display_name":"Francescopaolo Sica","orcid":"https://orcid.org/0000-0003-1593-1492"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Francescopaolo Sica","raw_affiliation_strings":["German Aerospace Center (DLR), Microwaves and Radar Institute"],"affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), Microwaves and Radar Institute","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023980873","display_name":"Paola Rizzoli","orcid":"https://orcid.org/0000-0001-9118-2732"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paola Rizzoli","raw_affiliation_strings":["German Aerospace Center (DLR), Microwaves and Radar Institute"],"affiliations":[{"raw_affiliation_string":"German Aerospace Center (DLR), Microwaves and Radar Institute","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5066927001"],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":1.0336,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88387333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"1549","last_page":"1552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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":0.9718999862670898,"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/computer-science","display_name":"Computer science","score":0.7999186515808105},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.6454346776008606},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6291297674179077},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6131139397621155},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6121887564659119},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5958017110824585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5924294590950012},{"id":"https://openalex.org/keywords/tandem","display_name":"Tandem","score":0.5758780241012573},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5732018351554871},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.5406621694564819},{"id":"https://openalex.org/keywords/amazon-rainforest","display_name":"Amazon rainforest","score":0.47855478525161743},{"id":"https://openalex.org/keywords/bistatic-radar","display_name":"Bistatic radar","score":0.42657655477523804},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37131738662719727},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3145610988140106},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.31384843587875366},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2681606411933899},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1554286777973175},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08783146739006042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7999186515808105},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.6454346776008606},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6291297674179077},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6131139397621155},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6121887564659119},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5958017110824585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5924294590950012},{"id":"https://openalex.org/C2777814067","wikidata":"https://www.wikidata.org/wiki/Q1752317","display_name":"Tandem","level":2,"score":0.5758780241012573},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5732018351554871},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.5406621694564819},{"id":"https://openalex.org/C535291247","wikidata":"https://www.wikidata.org/wiki/Q177567","display_name":"Amazon rainforest","level":2,"score":0.47855478525161743},{"id":"https://openalex.org/C100102862","wikidata":"https://www.wikidata.org/wiki/Q2625855","display_name":"Bistatic radar","level":4,"score":0.42657655477523804},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37131738662719727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3145610988140106},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.31384843587875366},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2681606411933899},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1554286777973175},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08783146739006042},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554536","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"},{"id":"pmh:oai:elib.dlr.de:141565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/IGARSS47720.2021.9554536>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"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":7,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1981213426","https://openalex.org/W2530398026","https://openalex.org/W2588641173","https://openalex.org/W2755431016","https://openalex.org/W3003178186","https://openalex.org/W6773399631"],"related_works":["https://openalex.org/W2045104684","https://openalex.org/W1991497027","https://openalex.org/W2353188126","https://openalex.org/W2542174201","https://openalex.org/W3131672414","https://openalex.org/W2157458429","https://openalex.org/W2971183605","https://openalex.org/W3127689436","https://openalex.org/W2982652090","https://openalex.org/W3198014086"],"abstract_inverted_index":{"The":[0,139],"TanDEM-X":[1,61,107,186,233],"Synthetic":[2],"Aperture":[3],"Radar":[4],"(SAR)":[5],"system":[6],"allows":[7],"for":[8,88,161,226],"the":[9,12,21,32,38,59,80,93,96,102,118,142,150,158,179,184,193,203,208,220],"recording":[10],"of":[11,49,95,125,133,153,207,222],"bistatic":[13,232],"interferometric":[14,39],"coherence,":[15,40],"which":[16,36],"adds":[17],"additional":[18],"information":[19],"to":[20,44,57,78,117,148,173],"common":[22],"amplitude":[23],"images":[24,155],"acquired":[25],"by":[26,182],"monostatic":[27],"SAR":[28],"systems.":[29],"More":[30],"concretely,":[31],"volume":[33],"decorrelation":[34],"factor,":[35],"influences":[37],"has":[41],"been":[42],"proved":[43],"be":[45],"a":[46,66,111,130,163],"reliable":[47],"indicator":[48],"vegetated":[50],"areas":[51],"and":[52,91,190,205,229],"was":[53],"exploited":[54],"in":[55,86,141,157],"[1]":[56],"generate":[58,174],"global":[60],"Forest/Non-Forest":[62],"Map,":[63],"based":[64,135],"on":[65,105,136],"supervised":[67],"clustering":[68,119,159],"algorithm.":[69],"In":[70,167,192],"this":[71,168],"work,":[72],"we":[73,109,170,196],"investigate":[74],"ad-hoc":[75],"training":[76],"strategies":[77],"extent":[79],"Convolutional":[81],"Neural":[82],"Network":[83],"(CNN)":[84],"presented":[85],"[2]":[87],"mapping":[89,228],"forests":[90],"monitoring":[92,230],"extend":[94],"Amazonas":[97],"using":[98,127],"TanDEM-X.":[99],"By":[100],"applying":[101],"proposed":[103],"method":[104],"single":[106],"images,":[108],"achieved":[110],"significant":[112],"performance":[113],"improvement":[114,140],"with":[115,121,231],"respect":[116],"approach,":[120],"an":[122],"f-score":[123],"increase":[124],"0.13,":[126],"as":[128,211,213],"reference":[129],"forest":[131,143,227],"map":[132],"2010":[134],"Landsat":[137],"data.":[138],"classification":[144],"makes":[145],"it":[146],"possible":[147],"skip":[149],"weighted":[151],"mosaicking":[152],"overlapping":[154],"used":[156],"approach":[160],"achieving":[162],"good":[164],"final":[165,194],"accuracy.":[166],"way,":[169],"were":[171],"able":[172],"three":[175],"time-tagged":[176],"mosaics":[177],"over":[178],"Amazon":[180],"rainforest,":[181],"utilizing":[183],"nominal":[185],"acquisitions":[187],"between":[188],"2011":[189],"2017.":[191],"paper,":[195],"will":[197],"present":[198],"more":[199],"consolidated":[200],"results,":[201],"including":[202],"validation":[204],"comparison":[206],"generated":[209],"mosaics,":[210],"well":[212],"change":[214],"detection":[215],"investigations,":[216],"aimed":[217],"at":[218],"showing":[219],"capabilities":[221],"Deep":[223],"Learning":[224],"approaches":[225],"images.":[234]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}