{"id":"https://openalex.org/W2054394714","doi":"https://doi.org/10.1109/igarss.2015.7326083","title":"Correlation between L-band SAR polarimetric parameters and LiDAR metrics over a forested area","display_name":"Correlation between L-band SAR polarimetric parameters and LiDAR metrics over a forested area","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2054394714","doi":"https://doi.org/10.1109/igarss.2015.7326083","mag":"2054394714"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7326083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5101986414","display_name":"Manabu Watanabe","orcid":"https://orcid.org/0000-0002-1130-9420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manabu Watanabe","raw_affiliation_strings":["JAXA/EORC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JAXA/EORC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031654867","display_name":"Takeshi Motohka","orcid":"https://orcid.org/0000-0001-7977-732X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Takeshi Motohka","raw_affiliation_strings":["JAXA/EORC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JAXA/EORC","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041377798","display_name":"Rajesh Bahadur Thapa","orcid":"https://orcid.org/0000-0003-4467-0148"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajesh Bahadur Thapa","raw_affiliation_strings":["JAXA/EORC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JAXA/EORC","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016225372","display_name":"Masanobu Shimada","orcid":"https://orcid.org/0000-0001-8981-6679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masanobu Shimada","raw_affiliation_strings":["JAXA/EORC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JAXA/EORC","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7317,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67909664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1574","last_page":"1577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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":0.9975000023841858,"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/T10889","display_name":"Soil erosion and sediment transport","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.47250068187713623},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3952837288379669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34262996912002563},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.325136661529541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2988891005516052},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11588948965072632}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.47250068187713623},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3952837288379669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34262996912002563},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.325136661529541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2988891005516052},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11588948965072632}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7326083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7326083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7300000190734863,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1605820702","https://openalex.org/W1973428156","https://openalex.org/W2030383024","https://openalex.org/W2087352507","https://openalex.org/W6636065067"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W2351984678","https://openalex.org/W2140032575","https://openalex.org/W2011860471","https://openalex.org/W2012196540","https://openalex.org/W3011451421"],"abstract_inverted_index":{"Correlations":[0],"between":[1,23],"L-band":[2],"SAR":[3,9],"polarimetric":[4,26],"parameters":[5,27,30,86,128],"obtained":[6,13,31,99],"with":[7,14,44,52,78],"airborne":[8,15],"(Pi-SAR-L2)":[10],"and":[11,28,47,97,109],"metrics":[12,49],"LiDAR":[16],"were":[17],"examined":[18],"to":[19,82,121],"identify":[20],"the":[21,24,62,94,106,115],"relationship":[22],"full":[25],"forest":[29,35],"for":[32,66,131],"a":[33,75,89,101,110],"natural":[34],"in":[36],"Indonesia.":[37],"Values":[38],"of":[39,50,54,64],"a0HVand":[40],"a0VVshow":[41],"good":[42],"correlations":[43,57],"canopy":[45],"height":[46,80,117],"90thpercentile":[48],"LiDAR,":[51],"R2values":[53,60],"0.85-0.89.":[55],"These":[56],"show":[58],"higher":[59],"than":[61],"value":[63],"0.33":[65],"a0HVvs.":[67],"above-ground":[68],"biomass.":[69],"The":[70],"results":[71],"indicate":[72],"that":[73,126],"a0shows":[74],"robust":[76],"correlation":[77],"tree":[79,91,103,116],"weighted":[81],"taller":[83],"trees.":[84],"Polarimetric":[85],"estimated":[87],"from":[88,100],"single":[90,102],"also":[92],"support":[93],"results.":[95],"Entropy":[96],"anisotropy":[98],"shows":[104],"almost":[105],"same":[107],"value,":[108],"is":[111],"about":[112],"45\u00b0,":[113],"while":[114],"ranges":[118],"2":[119],"m":[120],"6":[122],"m.":[123],"This":[124],"indicates":[125],"these":[127],"are":[129],"preferable":[130],"land":[132],"cover":[133],"classification.":[134]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
