{"id":"https://openalex.org/W3217575985","doi":"https://doi.org/10.5281/zenodo.4054337","title":"Dataset of Individual Sick Fir Detection using Computer Vision and Deep Learning","display_name":"Dataset of Individual Sick Fir Detection using Computer Vision and Deep Learning","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3217575985","doi":"https://doi.org/10.5281/zenodo.4054337","mag":"3217575985"},"language":"en","primary_location":{"id":"pmh:oai:zenodo.org:4054338","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/4054338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/4054338","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100623587","display_name":"Ha Trang Nguyen","orcid":"https://orcid.org/0000-0001-7571-716X","observed_orcids":["https://orcid.org/0000-0001-7571-716X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Ha Trang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7571-716X","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021286366","display_name":"Yago D\u00edez","orcid":"https://orcid.org/0000-0003-4521-9113","observed_orcids":["https://orcid.org/0000-0003-4521-9113"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diez, Yago","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4521-9113","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003394513","display_name":"Maximo Larry Lopez Caceres","orcid":"https://orcid.org/0000-0002-9748-7120","observed_orcids":["https://orcid.org/0000-0002-9748-7120"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lopez Caceres, Maximo Larry","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9748-7120","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054602513","display_name":"Sarah Kentsch","orcid":"https://orcid.org/0000-0001-5693-5217","observed_orcids":["https://orcid.org/0000-0001-5693-5217"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kentsch, Sarah","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5693-5217","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062031254","display_name":"Koma Moritake","orcid":"https://orcid.org/0009-0007-5823-2727","observed_orcids":["https://orcid.org/0009-0007-5823-2727"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moritake, Koma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112402577","display_name":"Shu Hase","orcid":"https://orcid.org/0000-0002-3035-0488","observed_orcids":["https://orcid.org/0000-0002-3035-0488"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shu, Hase","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.32102326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.45339998602867126,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.45339998602867126,"subfield":{"id":"https://openalex.org/subfields/1107","display_name":"Forestry"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.08739999681711197,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.08420000225305557,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/individual-tree-detection","display_name":"individual tree detection","score":0.6800000071525574},{"id":"https://openalex.org/keywords/orthomosaic","display_name":"orthomosaic","score":0.8169999718666077},{"id":"https://openalex.org/keywords/digital-surface-model","display_name":"digital surface model","score":0.9679999947547913},{"id":"https://openalex.org/keywords/deciduous-trees","display_name":"deciduous trees","score":0.8930000066757202},{"id":"https://openalex.org/keywords/treetops","display_name":"tree tops","score":0.8809999823570251},{"id":"https://openalex.org/keywords/forest-health-monitoring","display_name":"forest health monitoring","score":0.4740000069141388}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6498299837112427},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6250054836273193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5874451398849487},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42171624302864075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3717743158340454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3446187674999237}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:zenodo.org:4054338","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/4054338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.5281/zenodo.4054337","doi":"https://doi.org/10.5281/zenodo.4054337","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4054337","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.4054338","doi":"https://doi.org/10.5281/zenodo.4054338","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.4054338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:3217575985","doi":null,"is_oa":false,"landing_page_url":"https://zenodo.org/record/4054338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:zenodo.org:4054338","doi":null,"is_oa":true,"landing_page_url":"https://zenodo.org/record/4054338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3092941091","https://openalex.org/W3178044010","https://openalex.org/W7081672429","https://openalex.org/W7103886751","https://openalex.org/W6967411601","https://openalex.org/W7103980594","https://openalex.org/W7212243832","https://openalex.org/W7196969392","https://openalex.org/W6925103431","https://openalex.org/W3045976036"],"abstract_inverted_index":{"Dataset":[0],"for":[1,42],"individual":[2],"sick":[3,15,59],"fir":[4],"detection":[5],"and":[6,20,83],"classification":[7],"including":[8],"Orthomosaics,":[9],"DSM,":[10,79],"nDSM,":[11],"ROI,":[12],"annotation":[13,57,63,69,74],"of":[14,22,29,39,58,64,70,75,87],"firs,":[16,18,60,66],"healthy":[17,65],"deciduous":[19],"treetops":[21],"9":[23],"flying":[24,40],"missions":[25],"on":[26],"4":[27],"sites":[28],"Zao":[30],"Mountain.":[31],"The":[32],"filenames":[33,49],"are":[34],"labelled":[35],"with":[36],"the":[37],"number":[38],"mission,":[41],"example:":[43],"mission":[44],"1":[45],"will":[46],"have":[47],"data":[48],"as":[50],"following:":[51],"Z1":[52],"is":[53,56,62,68,73,78,81,85],"orthomosaics,":[54],"Z1sickfir":[55],"Z1healthyfir":[61],"Z1deciduous":[67],"deciduous.":[71],"Z1treetop":[72],"treetops,":[76],"Z1DEM":[77],"Z1nDEM":[80],"nDSM":[82],"Z1ROI":[84],"Region":[86],"Interest.":[88]},"counts_by_year":[],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2021-12-06T00:00:00"}
