{"id":"https://openalex.org/W3114078661","doi":"https://doi.org/10.1109/tencon50793.2020.9293693","title":"A Maximum Entropy Approach for Mapping Falcata Plantations in Sentinel-2 Imagery","display_name":"A Maximum Entropy Approach for Mapping Falcata Plantations in Sentinel-2 Imagery","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3114078661","doi":"https://doi.org/10.1109/tencon50793.2020.9293693","mag":"3114078661"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5089701467","display_name":"Marcia Coleen N. Marcial","orcid":null},"institutions":[{"id":"https://openalex.org/I210563421","display_name":"Caraga State University","ror":"https://ror.org/00erb5q72","country_code":"PH","type":"education","lineage":["https://openalex.org/I210563421"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Marcia Coleen N. Marcial","raw_affiliation_strings":["Caraga Center for Geo-Informatics & Industrial Tree Plantation Research and Innovation Center, Caraga State University, Butuan City, Philippines"],"affiliations":[{"raw_affiliation_string":"Caraga Center for Geo-Informatics & Industrial Tree Plantation Research and Innovation Center, Caraga State University, Butuan City, Philippines","institution_ids":["https://openalex.org/I210563421"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034170479","display_name":"Jojene R. Santillan","orcid":"https://orcid.org/0000-0002-5895-8647"},"institutions":[{"id":"https://openalex.org/I210563421","display_name":"Caraga State University","ror":"https://ror.org/00erb5q72","country_code":"PH","type":"education","lineage":["https://openalex.org/I210563421"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Jojene R. Santillan","raw_affiliation_strings":["Caraga Center for Geo-Informatics & Industrial Tree Plantation Research and Innovation Center, Caraga State University, Butuan City, Philippines"],"affiliations":[{"raw_affiliation_string":"Caraga Center for Geo-Informatics & Industrial Tree Plantation Research and Innovation Center, Caraga State University, Butuan City, Philippines","institution_ids":["https://openalex.org/I210563421"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089701467"],"corresponding_institution_ids":["https://openalex.org/I210563421"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12220769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"596","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"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":0.9988999962806702,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.560505211353302},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5434894561767578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5220184922218323},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5197188854217529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5059382319450378},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48897039890289307},{"id":"https://openalex.org/keywords/binary-tree","display_name":"Binary tree","score":0.4806303381919861},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44827672839164734},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4148525595664978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39140844345092773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20967599749565125},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12818527221679688},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.062032997608184814}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.560505211353302},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5434894561767578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5220184922218323},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5197188854217529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5059382319450378},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48897039890289307},{"id":"https://openalex.org/C197855036","wikidata":"https://www.wikidata.org/wiki/Q380172","display_name":"Binary tree","level":2,"score":0.4806303381919861},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44827672839164734},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4148525595664978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39140844345092773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20967599749565125},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12818527221679688},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.062032997608184814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/tencon50793.2020.9293693","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293693","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1966811787","https://openalex.org/W1977028660","https://openalex.org/W1993365566","https://openalex.org/W2048947653","https://openalex.org/W2131651374","https://openalex.org/W2139416101","https://openalex.org/W2142814220","https://openalex.org/W2162081314","https://openalex.org/W2768058016","https://openalex.org/W2801684017","https://openalex.org/W2947369327"],"related_works":["https://openalex.org/W2005234362","https://openalex.org/W1997235926","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059","https://openalex.org/W2104406636","https://openalex.org/W2132937675","https://openalex.org/W2910954186","https://openalex.org/W4205999209","https://openalex.org/W2444525338"],"abstract_inverted_index":{"Mapping":[0],"tree":[1,12],"species":[2],"is":[3],"essential":[4],"for":[5,29,54,116],"monitoring,":[6],"planning,":[7],"and":[8,23,70,94],"better":[9],"managing":[10],"industrial":[11],"plantations":[13],"(ITP).":[14],"Due":[15],"to":[16,104],"the":[17,44,112],"intensive":[18],"procedure":[19],"of":[20,46,77],"field":[21],"sampling":[22],"multi-class":[24],"manual":[25],"training":[26],"data":[27,37],"collection":[28],"image":[30],"classification,":[31],"an":[32],"approach":[33],"that":[34],"allows":[35],"fewer":[36],"would":[38],"be":[39],"efficient.":[40],"This":[41],"study":[42],"evaluated":[43],"performance":[45],"a":[47,74],"one-class":[48],"classifier":[49],"called":[50],"Maximum":[51],"Entropy":[52],"(MaxEnt)":[53],"mapping":[55],"Falcata":[56,118],"(Paraserianthes":[57],"falcataria)":[58],"in":[59],"Sentinel-2":[60,120],"imagery.":[61,121],"Two":[62],"MaxEnt":[63,79,105],"parameters":[64],"were":[65,111],"tested,":[66],"namely":[67],"sample":[68,88],"size":[69],"binary":[71,101],"threshold.":[72],"Using":[73],"default":[75],"threshold":[76,102],"0.5,":[78],"can":[80],"provide":[81],"classification":[82],"accuracies":[83],"ranging":[84],"from":[85],"89.41-92.84%":[86],"using":[87,119],"sizes":[89],"as":[90,92,95,97],"small":[91],"30":[93],"high":[96],"500.":[98],"A":[99],"0.3":[100],"applied":[103],"logistic":[106],"output":[107],"with":[108],"500":[109],"samples":[110],"best":[113],"parameter":[114],"values":[115],"classifying":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}