{"id":"https://openalex.org/W2114835535","doi":"https://doi.org/10.1109/igarss.2002.1026254","title":"Estimation of boreal forest biomass from multi-temporal INSAR data by inverting an empirical backscattering-coherence model","display_name":"Estimation of boreal forest biomass from multi-temporal INSAR data by inverting an empirical backscattering-coherence model","publication_year":2003,"publication_date":"2003-10-01","ids":{"openalex":"https://openalex.org/W2114835535","doi":"https://doi.org/10.1109/igarss.2002.1026254","mag":"2114835535"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2002.1026254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"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/A5049229557","display_name":"Jouni Pulliainen","orcid":"https://orcid.org/0000-0003-1157-2920"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Pulliainen","raw_affiliation_strings":["Laboratory of Space Technology, Helsinki University of Technology, Finland","Lab. of Space Technol., Helsinki Univ. of Technol., Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Space Technology, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"Lab. of Space Technol., Helsinki Univ. of Technol., Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108108026","display_name":"Marcus Engdahl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Engdahl","raw_affiliation_strings":["Laboratory of Space Technology, Helsinki University of Technology, Finland","Lab. of Space Technol., Helsinki Univ. of Technol., Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Space Technology, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"Lab. of Space Technol., Helsinki Univ. of Technol., Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084646896","display_name":"A. Hallikainen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Hallikainen","raw_affiliation_strings":["Laboratory of Space Technology, Helsinki University of Technology, Finland","Lab. of Space Technol., Helsinki Univ. of Technol., Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Space Technology, Helsinki University of Technology, Finland","institution_ids":[]},{"raw_affiliation_string":"Lab. of Space Technol., Helsinki Univ. of Technol., Finland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":"3","issue":null,"first_page":"1786","last_page":"1788"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9993000030517578,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9987000226974487,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.7604469060897827},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.7341623306274414},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6317693591117859},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6088218688964844},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.565894365310669},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5228310227394104},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.496460497379303},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.4909262955188751},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.490163654088974},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48193359375},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.4643006920814514},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4301263093948364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.389407753944397},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2593851685523987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2575613260269165},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17304939031600952},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17042401432991028},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.158115953207016},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.14827466011047363},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1352255940437317},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0971117913722992},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09710147976875305}],"concepts":[{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.7604469060897827},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.7341623306274414},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6317693591117859},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6088218688964844},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.565894365310669},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5228310227394104},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.496460497379303},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.4909262955188751},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.490163654088974},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48193359375},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.4643006920814514},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4301263093948364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.389407753944397},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2593851685523987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2575613260269165},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17304939031600952},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17042401432991028},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.158115953207016},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.14827466011047363},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1352255940437317},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0971117913722992},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09710147976875305},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2002.1026254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2002.1026254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2136957783","https://openalex.org/W2166516820"],"related_works":["https://openalex.org/W2373310320","https://openalex.org/W2781934594","https://openalex.org/W4384163768","https://openalex.org/W2790032735","https://openalex.org/W3206958763","https://openalex.org/W2159160885","https://openalex.org/W2148958581","https://openalex.org/W2910315605","https://openalex.org/W19246820","https://openalex.org/W4223555864"],"abstract_inverted_index":{"The":[0,46,68,91,113],"applicability":[1,96],"of":[2,39,49,54,62,74,86,89,97,107,151],"INSAR":[3],"coherence":[4,15,44,55],"observations":[5],"for":[6,29],"stem":[7,30,63,75,120,126],"volume":[8,31,64,76,121,127],"(biomass)":[9],"retrieval":[10,32,65,77],"is":[11,33,66,103],"investigated":[12],"by":[13],"applying":[14],"data":[16,69,144],"from":[17],"14":[18],"ERS-1":[19],"and":[20,82,122,142,146],"ERS-2":[21],"C-band":[22],"SAR":[23],"image":[24],"pairs.":[25],"A":[26],"novel":[27],"technique":[28],"developed":[34],"based":[35],"on":[36],"the":[37,52,60,72,87,95,118,123],"inversion":[38],"a":[40,84,147],"non-linear":[41],"empirical":[42],"forest":[43],"model.":[45],"seasonal":[47],"behavior":[48],"interferometric":[50],"coherence,":[51],"accuracy":[53],"modeling":[56],"as":[57,59,83,130,132],"well":[58],"performance":[61,78],"tested.":[67],"set":[70],"enables":[71],"study":[73],"under":[79,110],"varying":[80],"conditions":[81],"function":[85],"number":[88],"images.":[90],"results":[92],"indicate":[93],"that":[94,106],"winter":[98],"images":[99,108,138],"with":[100,135],"snow-covered":[101],"terrain":[102],"superior":[104],"to":[105],"obtained":[109],"summer":[111],"conditions.":[112],"highest":[114],"correlation":[115],"coefficient":[116],"between":[117],"estimated":[119],"ground":[124],"truth":[125],"shows":[128],"values":[129],"high":[131],"r=0.89":[133],"(obtained":[134],"two":[136],"optimum":[137],"using":[139],"separate":[140],"training":[141],"testing":[143],"sets)":[145],"percentage":[148],"RMSE":[149],"level":[150],"48%.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}