{"id":"https://openalex.org/W7160639331","doi":"https://doi.org/10.17632/g7vkrjr8dn","title":"A Multi-Region Pl\u00e9iades-Derived Dataset for Paddy Field Segmentation across Five Agro-Ecological Zones in Indonesia","display_name":"A Multi-Region Pl\u00e9iades-Derived Dataset for Paddy Field Segmentation across Five Agro-Ecological Zones in Indonesia","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160639331","doi":"https://doi.org/10.17632/g7vkrjr8dn"},"language":"en","primary_location":{"id":"doi:10.17632/g7vkrjr8dn","doi":"https://doi.org/10.17632/g7vkrjr8dn","is_oa":true,"landing_page_url":"https://doi.org/10.17632/g7vkrjr8dn","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"},"volume":null,"type":"dataset","is_traditional":false,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17632/g7vkrjr8dn","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5141039454","display_name":"HERMAN SETIADI","orcid":"https://orcid.org/0009-0006-6798-9900","observed_orcids":["https://orcid.org/0009-0006-6798-9900"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"setiadi, herman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087777571","display_name":"Muhammad Zarlis","orcid":"https://orcid.org/0000-0003-0520-7273","observed_orcids":["https://orcid.org/0000-0003-0520-7273"]},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Zarlis, Muhammad","raw_affiliation_strings":["Binus University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binus University","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051001568","display_name":"Edy Irwansyah","orcid":"https://orcid.org/0000-0002-3876-1943","observed_orcids":["https://orcid.org/0000-0002-3876-1943"]},"institutions":[{"id":"https://openalex.org/I166073570","display_name":"Binus University","ror":"https://ror.org/03zmf4s77","country_code":"ID","type":"education","lineage":["https://openalex.org/I166073570"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Irwansyah, Edy","raw_affiliation_strings":["Binus University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Binus University","institution_ids":["https://openalex.org/I166073570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112355027","display_name":"Yulyani Arifin","orcid":"https://orcid.org/0000-0002-4601-7313","observed_orcids":["https://orcid.org/0000-0002-4601-7313"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arifin, Yulyani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.8949999809265137,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.8949999809265137,"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":0.07840000092983246,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.013000000268220901,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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/paddy-fields","display_name":"paddy fields","score":0.6570000052452087},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.6420000195503235},{"id":"https://openalex.org/keywords/sentinel-2","display_name":"Sentinel-2","score":0.7229999899864197},{"id":"https://openalex.org/keywords/pleiades-imagery","display_name":"Pleiades imagery","score":0.8730000257492065},{"id":"https://openalex.org/keywords/agricultural-land-mapping","display_name":"agricultural land mapping","score":0.6190000176429749},{"id":"https://openalex.org/keywords/agroecological-zones","display_name":"agro-ecological zones","score":0.8529999852180481},{"id":"https://openalex.org/keywords/landscape-metrics","display_name":"landscape metrics","score":0.7390000224113464},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.7250000238418579},{"id":"https://openalex.org/keywords/smallholder-farming","display_name":"smallholder farming","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5777999758720398},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4999000132083893},{"id":"https://openalex.org/C85582077","wikidata":"https://www.wikidata.org/wiki/Q842623","display_name":"Paddy field","level":2,"score":0.491100013256073},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4724999964237213},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4629000127315521},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.42980000376701355},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42570000886917114},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3725000023841858},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3353999853134155},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30399999022483826},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.29820001125335693},{"id":"https://openalex.org/C50660011","wikidata":"https://www.wikidata.org/wiki/Q42530","display_name":"Tropics","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.25780001282691956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.17632/g7vkrjr8dn","doi":"https://doi.org/10.17632/g7vkrjr8dn","is_oa":true,"landing_page_url":"https://doi.org/10.17632/g7vkrjr8dn","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"},{"id":"doi:10.17632/g7vkrjr8dn.1","doi":"https://doi.org/10.17632/g7vkrjr8dn.1","is_oa":true,"landing_page_url":"https://doi.org/10.17632/g7vkrjr8dn.1","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"},{"id":"doi:10.17632/g7vkrjr8dn.2","doi":"https://doi.org/10.17632/g7vkrjr8dn.2","is_oa":true,"landing_page_url":"https://doi.org/10.17632/g7vkrjr8dn.2","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"},{"id":"doi:10.17632/g7vkrjr8dn.3","doi":"https://doi.org/10.17632/g7vkrjr8dn.3","is_oa":true,"landing_page_url":"https://doi.org/10.17632/g7vkrjr8dn.3","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"}],"best_oa_location":{"id":"doi:10.17632/g7vkrjr8dn","doi":"https://doi.org/10.17632/g7vkrjr8dn","is_oa":true,"landing_page_url":"https://doi.org/10.17632/g7vkrjr8dn","pdf_url":null,"source":{"id":"https://openalex.org/S7407050775","display_name":"Mendeley Data","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Dataset"},"sustainable_development_goals":[{"score":0.7142999768257141,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7169115693","https://openalex.org/W7171046430","https://openalex.org/W7168795765","https://openalex.org/W4412976298","https://openalex.org/W6930420007","https://openalex.org/W4393498658","https://openalex.org/W4364304237","https://openalex.org/W4210577947","https://openalex.org/W6941168988","https://openalex.org/W6943749930"],"abstract_inverted_index":{"Analysis-ready":[0],"Sentinel-2":[1],"dataset":[2,44],"for":[3],"paddy":[4,53],"field":[5],"semantic":[6],"segmentation":[7],"across":[8],"five":[9],"Indonesian":[10],"regions.":[11],"It":[12],"includes":[13],"3,603":[14],"paired":[15],"1024":[16,18],"x":[17],"RGB":[19],"image":[20],"tiles":[21],"and":[22,40,51],"binary":[23],"masks":[24],"derived":[25],"from":[26],"official":[27],"Lahan":[28],"Baku":[29],"Sawah":[30],"(LBS)":[31],"vector":[32],"data,":[33],"plus":[34],"full-region":[35],"masks,":[36],"metadata,":[37],"landscape":[38],"metrics,":[39],"processing":[41],"code.":[42],"The":[43],"supports":[45],"benchmarking,":[46],"few-shot":[47],"learning,":[48],"spatial":[49],"cross-validation,":[50],"fragmentation-aware":[52],"mapping":[54],"in":[55],"tropical":[56],"smallholder":[57],"landscapes.":[58]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-05-09T00:00:00"}