{"id":"https://openalex.org/W2069879447","doi":"https://doi.org/10.1109/igarss.2015.7325936","title":"Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction","display_name":"Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2069879447","doi":"https://doi.org/10.1109/igarss.2015.7325936","mag":"2069879447"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325936","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":"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/A5057190499","display_name":"Katalin Blix","orcid":"https://orcid.org/0000-0002-1800-3811"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Katalin Blix","raw_affiliation_strings":["Machine Learning @ UiT Lab, The Arctic University of Norway","Machine Learning @ UiT Lab, University of Troms\u2298 (UiT) - The Arctic University of Norway"],"affiliations":[{"raw_affiliation_string":"Machine Learning @ UiT Lab, The Arctic University of Norway","institution_ids":[]},{"raw_affiliation_string":"Machine Learning @ UiT Lab, University of Troms\u2298 (UiT) - The Arctic University of Norway","institution_ids":["https://openalex.org/I78037679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039052506","display_name":"Gustau Camps\u2010Valls","orcid":"https://orcid.org/0000-0003-1683-2138"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Gustau Camps-Valls","raw_affiliation_strings":["Image and Signal Processing Group - Universitat de Val\u00e8ncia, Spain","[Image and Signal Processing Group - Universitat de Val\u00e8ncia, Spain]"],"affiliations":[{"raw_affiliation_string":"Image and Signal Processing Group - Universitat de Val\u00e8ncia, Spain","institution_ids":["https://openalex.org/I16097986"]},{"raw_affiliation_string":"[Image and Signal Processing Group - Universitat de Val\u00e8ncia, Spain]","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013414039","display_name":"Robert Jenssen","orcid":"https://orcid.org/0000-0002-7496-8474"},"institutions":[{"id":"https://openalex.org/I78037679","display_name":"UiT The Arctic University of Norway","ror":"https://ror.org/00wge5k78","country_code":"NO","type":"education","lineage":["https://openalex.org/I78037679"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Robert Jenssen","raw_affiliation_strings":["Machine Learning @ UiT Lab, The Arctic University of Norway","Machine Learning @ UiT Lab, University of Troms\u2298 (UiT) - The Arctic University of Norway"],"affiliations":[{"raw_affiliation_string":"Machine Learning @ UiT Lab, The Arctic University of Norway","institution_ids":[]},{"raw_affiliation_string":"Machine Learning @ UiT Lab, University of Troms\u2298 (UiT) - The Arctic University of Norway","institution_ids":["https://openalex.org/I78037679"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057190499"],"corresponding_institution_ids":["https://openalex.org/I78037679"],"apc_list":null,"apc_paid":null,"fwci":1.3972,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81590128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"996","last_page":"999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10032","display_name":"Marine and coastal ecosystems","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10032","display_name":"Marine and coastal ecosystems","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9660999774932861,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.957099974155426,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/kriging","display_name":"Kriging","score":0.7964853048324585},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.7857424020767212},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6156020164489746},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6145685911178589},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.594002366065979},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5165325999259949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5142418742179871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4917459785938263},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4726915657520294},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4544622302055359},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4410219192504883},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4351705014705658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40379273891448975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3930523693561554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22798609733581543},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1961979866027832},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18523624539375305},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.1572296917438507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11162853240966797}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.7964853048324585},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.7857424020767212},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6156020164489746},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6145685911178589},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.594002366065979},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5165325999259949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5142418742179871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4917459785938263},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4726915657520294},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4544622302055359},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4410219192504883},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4351705014705658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40379273891448975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3930523693561554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22798609733581543},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1961979866027832},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18523624539375305},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.1572296917438507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11162853240966797},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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.2015.7325936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325936","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W235631693","https://openalex.org/W1564026136","https://openalex.org/W1564495611","https://openalex.org/W1988886499","https://openalex.org/W2045331152","https://openalex.org/W2118955589","https://openalex.org/W2120647186","https://openalex.org/W2140939548","https://openalex.org/W2145539952","https://openalex.org/W2149803014","https://openalex.org/W2156418736","https://openalex.org/W2159075893","https://openalex.org/W2161767008","https://openalex.org/W4245562712","https://openalex.org/W6683852811"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W2115519811"],"abstract_inverted_index":{"Gaussian":[0],"Process":[1],"Regression":[2],"(GPR)":[3],"for":[4,12,57],"machine":[5],"learning":[6],"has":[7],"lately":[8],"been":[9],"successfully":[10],"introduced":[11],"chlorophyll":[13,89],"content":[14,90],"mapping":[15],"from":[16],"remotely":[17],"sensed":[18],"data.":[19],"The":[20,92],"method":[21,93],"provides":[22],"a":[23,36,54],"fast,":[24],"stable":[25],"and":[26,108],"accurate":[27],"prediction":[28],"of":[29,43,62,72,97],"biophysical":[30],"parameters.":[31],"However,":[32],"since":[33],"GPR":[34,64,87],"is":[35],"non-linear":[37],"kernel":[38],"regression":[39,80],"method,":[40],"the":[41,44,63,69,73,79,84,95,98,103],"relevance":[42],"features":[45,74],"are":[46],"not":[47],"accessible.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"introduce":[53],"probabilistic":[55],"approach":[56],"feature":[58],"sensitivity":[59],"analysis":[60],"(SA)":[61],"in":[65,78],"order":[66],"to":[67],"reveal":[68],"relative":[70],"importance":[71,96],"(bands)":[75],"being":[76],"used":[77],"process.":[81],"We":[82],"evaluated":[83],"SA":[85],"on":[86],"ocean":[88],"prediction.":[91],"revealed":[94],"spectral":[99],"bands,":[100],"thus":[101],"allowing":[102],"discrimination":[104],"between":[105],"Case-1":[106],"water":[107,110],"Case-2":[109],"conditions.":[111]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}