{"id":"https://openalex.org/W4413318784","doi":"https://doi.org/10.1109/lgrs.2025.3600458","title":"Semi-Supervised Learning for Spatio-Temporal Landcover Monitoring","display_name":"Semi-Supervised Learning for Spatio-Temporal Landcover Monitoring","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413318784","doi":"https://doi.org/10.1109/lgrs.2025.3600458"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2025.3600458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3600458","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5077472871","display_name":"Boris Flach","orcid":"https://orcid.org/0000-0002-4988-7541"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Boris Flach","raw_affiliation_strings":["Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053960768","display_name":"Tom\u00e1\u0161 Dlask","orcid":"https://orcid.org/0000-0002-1944-6569"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tom\u00e1\u0161 Dlask","raw_affiliation_strings":["Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074762720","display_name":"Luk\u00e1\u0161 Brodsk\u00fd","orcid":"https://orcid.org/0000-0003-4396-0477"},"institutions":[{"id":"https://openalex.org/I4210138495","display_name":"Komix (Czechia)","ror":"https://ror.org/030pxca80","country_code":"CZ","type":"company","lineage":["https://openalex.org/I4210138495"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Luk\u00e1\u0161 Brodsk\u00fd","raw_affiliation_strings":["Mapradix s.r.o, Prague, Czech Republic","Mapradix s.r.o., Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Mapradix s.r.o, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210138495"]},{"raw_affiliation_string":"Mapradix s.r.o., Prague, Czech Republic","institution_ids":["https://openalex.org/I4210138495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077472871"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23932396,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9538000226020813,"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":0.9538000226020813,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9445000290870667,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6380709409713745},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5712462663650513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3520447015762329},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1562250554561615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6380709409713745},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5712462663650513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3520447015762329},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1562250554561615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2025.3600458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2025.3600458","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4805545720","display_name":null,"funder_award_id":"4000138491/22/I-DT","funder_id":"https://openalex.org/F4320318240","funder_display_name":"European Space Agency"}],"funders":[{"id":"https://openalex.org/F4320318240","display_name":"European Space Agency","ror":"https://ror.org/03wd9za21"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2726622130","https://openalex.org/W3153942346","https://openalex.org/W3185151088","https://openalex.org/W4226251268","https://openalex.org/W4312119695","https://openalex.org/W4323060028","https://openalex.org/W4377832202","https://openalex.org/W4391841848"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"We":[0,43,85,127],"consider":[1],"the":[2,89,101,111],"task":[3,102],"of":[4,17,21,24,34,91,103],"spatio-temporal":[5,76],"landcover":[6,41],"monitoring":[7,105],"and":[8,61,123],"formulate":[9],"it":[10],"as":[11,73],"follows:":[12],"Given":[13],"a":[14,31,70,107,116],"time":[15,81],"sequence":[16,33],"multispectral":[18],"satellite":[19,79],"images":[20],"an":[22],"area":[23],"interest":[25],"(AOI),":[26],"we":[27],"want":[28],"to":[29,45,56,121],"predict":[30],"corresponding":[32],"semantic":[35],"segmentations":[36],"with":[37,52],"segment":[38],"labels":[39],"representing":[40],"types.":[42],"propose":[44],"combine":[46],"asymmetric":[47],"UNets":[48],"(achieving":[49],"super-resolution":[50],"segmentation)":[51],"Markov":[53],"chain":[54],"models":[55,65],"account":[57],"for":[58,78],"both":[59],"spatial":[60],"temporal":[62],"dependencies.":[63],"Such":[64],"cannot":[66],"be":[67],"trained":[68],"in":[69,106,110,133],"supervised":[71],"manner,":[72],"obtaining":[74],"dense":[75],"annotations":[77],"image":[80],"sequences":[82],"is":[83,98],"infeasible.":[84],"therefore":[86],"focus":[87],"on":[88,100],"challenge":[90],"their":[92],"semi-supervised":[93],"training.":[94],"The":[95],"proposed":[96],"approach":[97],"evaluated":[99],"forest":[104,118],"national":[108],"park":[109],"Czech":[112],"Republic,":[113],"which":[114],"suffers":[115],"severe":[117],"dieback":[119],"due":[120],"droughts":[122],"bark":[124],"beetle":[125],"outbreaks.":[126],"achieve":[128],"83%":[129],"(90%)":[130],"prediction":[131],"accuracy":[132],"this":[134],"challenging":[135],"task.":[136]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}