{"id":"https://openalex.org/W7203908259","doi":"https://doi.org/10.48662/daks-552","title":"Mapping and Classification of Field Margin Vegetation using High Resolution Satellite Imagery and Deep Learning Models in a Tropical Landscape","display_name":"Mapping and Classification of Field Margin Vegetation using High Resolution Satellite Imagery and Deep Learning Models in a Tropical Landscape","publication_year":2026,"publication_date":"2026-08-18","ids":{"openalex":"https://openalex.org/W7203908259","doi":"https://doi.org/10.48662/daks-552"},"language":"en","primary_location":{"id":"doi:10.48662/daks-552","doi":"https://doi.org/10.48662/daks-552","is_oa":true,"landing_page_url":"https://doi.org/10.48662/daks-552","pdf_url":null,"source":{"id":"https://openalex.org/S7407052205","display_name":"DaKS","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"volume":null,"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48662/daks-552","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101411996","display_name":"Satya Prakash","orcid":"https://orcid.org/0000-0002-1210-4339","observed_orcids":["https://orcid.org/0000-0002-1210-4339"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"PRAKASH, SATYA","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1210-4339","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013871489","display_name":"M. Wachendorf","orcid":"https://orcid.org/0000-0002-2840-7086","observed_orcids":["https://orcid.org/0000-0002-2840-7086"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wachendorf, Michael","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2840-7086","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016480812","display_name":"Sunil Nautiyal","orcid":"https://orcid.org/0000-0002-1481-7754","observed_orcids":["https://orcid.org/0000-0002-1481-7754"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nautiyal, Sunil","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1481-7754","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027455834","display_name":"Jayan Wijesingha","orcid":"https://orcid.org/0000-0003-2574-6303","observed_orcids":["https://orcid.org/0000-0003-2574-6303"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wijesingha, Jayan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2574-6303","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.951200008392334,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.038100000470876694,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/agricultural-landscapes","display_name":"agricultural landscapes","score":0.5569999814033508},{"id":"https://openalex.org/keywords/vegetation-mapping","display_name":"vegetation mapping","score":0.6690000295639038},{"id":"https://openalex.org/keywords/worldview-3-imagery","display_name":"WorldView-3 imagery","score":0.7310000061988831},{"id":"https://openalex.org/keywords/u-net","display_name":"U-Net","score":0.7979999780654907},{"id":"https://openalex.org/keywords/deeplabv3","display_name":"DeepLabV3+","score":0.9599999785423279},{"id":"https://openalex.org/keywords/semantic-segmentation","display_name":"semantic segmentation","score":0.7450000047683716},{"id":"https://openalex.org/keywords/training-data","display_name":"training data","score":0.4650000035762787},{"id":"https://openalex.org/keywords/tropical-agriculture","display_name":"tropical agriculture","score":0.6890000104904175}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6960999965667725},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6481000185012817},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824999809265137},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5776000022888184},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.541100025177002},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C2776054349","wikidata":"https://www.wikidata.org/wiki/Q18648871","display_name":"Vegetation classification","level":3,"score":0.4602999985218048},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42340001463890076},{"id":"https://openalex.org/C60478076","wikidata":"https://www.wikidata.org/wiki/Q3036835","display_name":"Reference data","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.3849000036716461},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C104541649","wikidata":"https://www.wikidata.org/wiki/Q6935090","display_name":"Multispectral pattern recognition","level":3,"score":0.3222000002861023},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.29670000076293945},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2791999876499176},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2680000066757202},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C2780408538","wikidata":"https://www.wikidata.org/wiki/Q3615217","display_name":"Ancillary data","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48662/daks-552","doi":"https://doi.org/10.48662/daks-552","is_oa":true,"landing_page_url":"https://doi.org/10.48662/daks-552","pdf_url":null,"source":{"id":"https://openalex.org/S7407052205","display_name":"DaKS","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.48662/daks-552","doi":"https://doi.org/10.48662/daks-552","is_oa":true,"landing_page_url":"https://doi.org/10.48662/daks-552","pdf_url":null,"source":{"id":"https://openalex.org/S7407052205","display_name":"DaKS","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.40450000762939453,"id":"https://metadata.un.org/sdg/2"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320717","display_name":"Department of Biotechnology, Ministry of Science and Technology, India","ror":"https://ror.org/03tjsyq23"},{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4389814089","https://openalex.org/W4286203443","https://openalex.org/W4287245749","https://openalex.org/W3175576124","https://openalex.org/W6930420007","https://openalex.org/W2906341063","https://openalex.org/W7116769975","https://openalex.org/W4415241577","https://openalex.org/W2466218975","https://openalex.org/W4212770395"],"abstract_inverted_index":{"This":[0,34],"data":[1,42,80,109,159],"set":[2],"is":[3],"a":[4,27,78],"supplementary":[5],"material":[6],"to":[7,105,144,198,212],"the":[8,37,45,94,120,146,152,180,190,195,204,213],"publication":[9],"''Mapping":[10],"and":[11,22,40,82,98,125,135,148,166,201],"Classification":[12],"of":[13,48,151,182,203],"Field":[14,49],"Margin":[15,50],"Vegetation":[16,51],"using":[17,53],"High":[18],"Resolution":[19],"Satellite":[20],"Imagery":[21],"Deep":[23,126],"Learning":[24],"Models":[25],"in":[26,67,112,194],"Tropical":[28],"Landscape\"":[29],"(Prakash":[30],"et":[31],"al.,":[32],"2026).":[33],"dataset":[35,59],"contains":[36],"training,":[38],"validation,":[39],"testing":[41],"used":[43,187],"for":[44,62,118,131,171,179],"deep-learning-based":[46],"classification":[47,181],"(FMV)":[52],"high-resolution":[54],"WorldView-3":[55,163],"satellite":[56,73],"imagery.":[57],"The":[58,70,88,108,157,184],"was":[60,75],"prepared":[61,178],"mapping":[63],"field":[64],"margin":[65],"vegetation":[66],"agricultural":[68],"landscape.":[69],"original":[71],"Worldview-3":[72],"imagery":[74,165],"obtained":[76],"under":[77],"commercial":[79],"license":[81],"therefore":[83],"cannot":[84],"be":[85,106],"redistributed":[86],"publicly.":[87],"datasets":[89,185],"provided":[90,193],"here":[91],"contain":[92],"only":[93],"derived":[95,161],"image":[96],"chips":[97,170],"corresponding":[99],"reference":[100,175],"labels":[101],"that":[102],"are":[103,110],"permitted":[104],"shared.":[107],"organized":[111],"three":[113],"subsets:":[114],"Training":[115],"dataset:":[116,129,141],"Used":[117,130,142],"training":[119],"deep":[121],"learning":[122],"model":[123,133,136,172],"(U-Net":[124],"LabV3+)":[127],"Validation":[128],"monitoring":[132],"performance":[134,147],"selection":[137],"during":[138],"training.":[139],"Testing":[140],"independently":[143],"evaluate":[145],"generalisation":[149],"capability":[150],"trained":[153],"model.":[154],"Data":[155],"Preparation:":[156],"input":[158],"were":[160,177,186],"from":[162],"multispectral":[164],"divided":[167],"into":[168],"smaller":[169],"development.":[173],"Corresponding":[174],"masks":[176],"FMV.":[183],"together":[188],"with":[189],"source":[191],"code":[192],"associated":[196],"repository":[197],"ensure":[199],"transparency":[200],"reproducibility":[202],"model-development":[205],"workflow.":[206],"For":[207],"further":[208],"information,":[209],"please":[210],"refer":[211],"Readme.txt":[214],"file.":[215]},"counts_by_year":[],"updated_date":"2026-09-05T08:02:43.246662","created_date":"2026-08-22T00:00:00"}