{"id":"https://openalex.org/W4402262958","doi":"https://doi.org/10.1109/igarss53475.2024.10641094","title":"Change Detection over Tropical Peat Swamp Forests in Indonesia Using SAR Time-Series Data","display_name":"Change Detection over Tropical Peat Swamp Forests in Indonesia Using SAR Time-Series Data","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402262958","doi":"https://doi.org/10.1109/igarss53475.2024.10641094"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641094","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5073154247","display_name":"Anam Sabir","orcid":"https://orcid.org/0000-0002-3819-1493"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anam Sabir","raw_affiliation_strings":["Indian Institute of Technology Indore,DAASE,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,DAASE,India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079521715","display_name":"Unmesh Khati","orcid":"https://orcid.org/0000-0001-9022-9199"},"institutions":[{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Unmesh Khati","raw_affiliation_strings":["Indian Institute of Technology Indore,DAASE,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Indore,DAASE,India","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069711114","display_name":"Marco Lavalle","orcid":"https://orcid.org/0000-0002-9858-6454"},"institutions":[{"id":"https://openalex.org/I1334627681","display_name":"Jet Propulsion Laboratory","ror":"https://ror.org/027k65916","country_code":"US","type":"facility","lineage":["https://openalex.org/I122411786","https://openalex.org/I1334627681","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marco Lavalle","raw_affiliation_strings":["California Institute of Technology,NASA-Jet Propulsion Laboratory,Pasadena,CA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California Institute of Technology,NASA-Jet Propulsion Laboratory,Pasadena,CA,USA","institution_ids":["https://openalex.org/I1334627681"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1832984,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10135","last_page":"10138"},"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":0.988099992275238,"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":0.988099992275238,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9509999752044678,"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/T10535","display_name":"Landslides and related hazards","score":0.9413999915122986,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/swamp","display_name":"Swamp","score":0.8301959037780762},{"id":"https://openalex.org/keywords/peat","display_name":"Peat","score":0.6554779410362244},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5583455562591553},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.523949146270752},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3603329658508301},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30612438917160034},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.29969993233680725},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.11522197723388672},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09738248586654663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06989669799804688}],"concepts":[{"id":"https://openalex.org/C79414745","wikidata":"https://www.wikidata.org/wiki/Q166735","display_name":"Swamp","level":2,"score":0.8301959037780762},{"id":"https://openalex.org/C53657456","wikidata":"https://www.wikidata.org/wiki/Q184624","display_name":"Peat","level":2,"score":0.6554779410362244},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5583455562591553},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.523949146270752},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3603329658508301},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30612438917160034},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.29969993233680725},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.11522197723388672},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09738248586654663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06989669799804688},{"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/igarss53475.2024.10641094","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641094","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1596669880","https://openalex.org/W1889848888","https://openalex.org/W2089445487","https://openalex.org/W2110519070","https://openalex.org/W2152185773","https://openalex.org/W2547872031","https://openalex.org/W2605610514","https://openalex.org/W2615543373","https://openalex.org/W2767278915","https://openalex.org/W2769480240","https://openalex.org/W2771592274","https://openalex.org/W2887691129","https://openalex.org/W4211143819","https://openalex.org/W4225473286","https://openalex.org/W4285083897","https://openalex.org/W4311173829"],"related_works":["https://openalex.org/W2390655568","https://openalex.org/W2356619293","https://openalex.org/W2352799931","https://openalex.org/W2177826566","https://openalex.org/W2184766664","https://openalex.org/W2048644521","https://openalex.org/W2526781485","https://openalex.org/W4391905089","https://openalex.org/W3043906476","https://openalex.org/W2102293135"],"abstract_inverted_index":{"Monitoring":[0],"forest":[1],"ecosystems":[2],"requires":[3],"both,":[4],"continuous":[5],"time-series":[6,28],"datasets":[7],"and":[8,51,90],"a":[9],"comprehensive":[10],"method":[11],"for":[12,74,100],"analyzing":[13],"the":[14,22,40,45,49,56,63,114,122],"same.":[15],"Synthetic":[16],"Aperture":[17],"RADAR":[18],"(SAR)":[19],"data":[20,35,99],"aids":[21],"processing":[23],"by":[24],"maintaining":[25],"an":[26,109,145],"uninterrupted":[27],"dataset.":[29],"The":[30],"backscatter":[31,64,70,125],"derived":[32],"from":[33],"SAR":[34,98],"is":[36],"closely":[37],"related":[38],"to":[39],"changes":[41,50],"taking":[42,53],"place":[43,54],"in":[44,55,59,62,103,124,132],"targeted":[46],"area.":[47],"Therefore":[48],"disturbances":[52],"forests":[57,76],"results":[58,143],"corresponding":[60],"variations":[61],"values.":[65],"These":[66],"temporal":[67],"signatures":[68],"of":[69,87,128,134,149],"can":[71],"be":[72],"used":[73,95],"monitoring":[75],"with":[77,96,144],"statistical":[78],"change":[79],"detection":[80],"algorithms.":[81],"In":[82],"this":[83],"study,":[84],"Cumulative":[85],"Sums":[86],"Change":[88],"(CuSum)":[89],"Sequential":[91],"Omnibus":[92],"algorithms":[93],"are":[94],"Sentinel-1":[97],"deforestation":[101,129],"mapping":[102],"Central":[104],"Kalimantan,":[105],"Indonesia.":[106],"CuSum":[107],"showed":[108,141],"overall":[110,147],"better":[111,142],"performance":[112],"than":[113],"sequential":[115],"omnibus":[116],"algorithm.":[117],"It":[118],"was":[119,130],"observed":[120],"that":[121],"drop":[123],"on":[126],"account":[127],"significant":[131],"case":[133],"both":[135],"polarization":[136],"channels.":[137],"However,":[138],"cross-pol":[139],"channel":[140],"average":[146],"accuracy":[148],"0.74.":[150]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}