{"id":"https://openalex.org/W4362498677","doi":"https://doi.org/10.1109/iconat57137.2023.10080840","title":"Forest Wildfire Detection and Forecasting Utilizing Machine Learning and Image Processing","display_name":"Forest Wildfire Detection and Forecasting Utilizing Machine Learning and Image Processing","publication_year":2023,"publication_date":"2023-01-24","ids":{"openalex":"https://openalex.org/W4362498677","doi":"https://doi.org/10.1109/iconat57137.2023.10080840"},"language":"en","primary_location":{"id":"doi:10.1109/iconat57137.2023.10080840","doi":"https://doi.org/10.1109/iconat57137.2023.10080840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iconat57137.2023.10080840","pdf_url":null,"source":{"id":"https://openalex.org/S4363607850","display_name":"International Conference for Advancement in Technology (ICONAT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference for Advancement in Technology (ICONAT)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W4362498677"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5088281336","display_name":"Shubhangi N. Ghate","orcid":"https://orcid.org/0000-0001-6662-2740","observed_orcids":["https://orcid.org/0000-0001-6662-2740"]},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"DY Patil Deemed to be University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shubhangi N. Ghate","raw_affiliation_strings":["Ramarao Adik Institute of Technology, D.Y. Patil Deemed to be University, Navi-Mumbai, MS, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ramarao Adik Institute of Technology, D.Y. Patil Deemed to be University, Navi-Mumbai, MS, India","institution_ids":["https://openalex.org/I4210153931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052688977","display_name":"Pallavi Sapkale","orcid":"https://orcid.org/0000-0002-8403-8908","observed_orcids":["https://orcid.org/0000-0002-8403-8908"]},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"DY Patil Deemed to be University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pallavi Sapkale","raw_affiliation_strings":["Ramarao Adik Institute of Technology, D.Y. Patil Deemed to be University, Navi-Mumbai, MS, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ramarao Adik Institute of Technology, D.Y. Patil Deemed to be University, Navi-Mumbai, MS, India","institution_ids":["https://openalex.org/I4210153931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068495898","display_name":"Moresh Mukhedkar","orcid":"https://orcid.org/0000-0002-3076-9334","observed_orcids":["https://orcid.org/0000-0002-3076-9334"]},"institutions":[{"id":"https://openalex.org/I4210153931","display_name":"DY Patil Deemed to be University","ror":"https://ror.org/045qb5273","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210153931"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Moresh Mukhedkar","raw_affiliation_strings":["D. Y. Patil University Ambi, Pune, MS, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D. Y. Patil University Ambi, Pune, MS, India","institution_ids":["https://openalex.org/I4210153931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210153931"],"apc_list":null,"apc_paid":null,"fwci":6.2366,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.97268946,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12597","display_name":"Fire Detection and Safety Systems","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10555","display_name":"Fire effects on ecosystems","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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":9.999999747378752e-05,"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/wildfire-detection","display_name":"forest fire detection","score":0.9089999794960022},{"id":"https://openalex.org/keywords/wildfire-prediction","display_name":"wildfire prediction","score":0.9340000152587891},{"id":"https://openalex.org/keywords/forest-fires","display_name":"forest fires","score":0.8019999861717224},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"satellite imagery","score":0.7889999747276306},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"remote sensing","score":0.9430000185966492},{"id":"https://openalex.org/keywords/early-detection","display_name":"early detection","score":0.5889999866485596},{"id":"https://openalex.org/keywords/meteorological-variables","display_name":"meteorological parameters","score":0.6169999837875366},{"id":"https://openalex.org/keywords/vegetation","display_name":"vegetation","score":0.33000001311302185},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6790000200271606},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9129999876022339},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.9950000047683716},{"id":"https://openalex.org/keywords/forest-monitoring","display_name":"forest monitoring","score":0.6060000061988831},{"id":"https://openalex.org/keywords/web-interface","display_name":"web interface","score":0.7170000076293945}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.677996814250946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964563488960266},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.5489736199378967},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5182104706764221},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.4900995194911957},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4684106707572937},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4534965455532074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4003896117210388},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.38627004623413086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37002086639404297},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.26689934730529785},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1588796079158783},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iconat57137.2023.10080840","doi":"https://doi.org/10.1109/iconat57137.2023.10080840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iconat57137.2023.10080840","pdf_url":null,"source":{"id":"https://openalex.org/S4363607850","display_name":"International Conference for Advancement in Technology (ICONAT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference for Advancement in Technology (ICONAT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.9599999785423279,"display_name":"Life on land"},{"id":"https://metadata.un.org/sdg/13","score":0.5351999998092651,"display_name":"Climate action"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1996518383","https://openalex.org/W2128254161","https://openalex.org/W2171201674","https://openalex.org/W2290381966","https://openalex.org/W2294668072","https://openalex.org/W3033973667","https://openalex.org/W3088771709","https://openalex.org/W3166907904","https://openalex.org/W3174657034","https://openalex.org/W3187492860"],"related_works":["https://openalex.org/W4400526398","https://openalex.org/W4384498951","https://openalex.org/W4392408016","https://openalex.org/W4392200424","https://openalex.org/W2913649977","https://openalex.org/W4377967238","https://openalex.org/W7115073134","https://openalex.org/W6911561438","https://openalex.org/W4412399275","https://openalex.org/W4286432913"],"abstract_inverted_index":{"Wildfires":[0,21],"are":[1,18],"spontaneous,":[2],"unwanted,":[3],"uncontrolled":[4],"fires":[5],"in":[6,30,124,140,246],"large":[7,53,163],"forest":[8,210],"and":[9,33,71,102,152,160,167,178],"due":[10],"to":[11,24,43,63,74,91,106,121,134,158],"global":[12],"warming":[13],"these":[14],"type":[15],"of":[16,56,97,138,165,172,183,188,244,249],"incidents":[17,78],"increasing.":[19],"These":[20],"causes":[22],"damage":[23],"forest\u2019s":[25],"natural":[26],"ecosystems":[27],"globally,":[28],"resulting":[29],"ecological,":[31],"environmental":[32,213],"even":[34,46],"economic":[35],"degradation.":[36],"Hence":[37],"it":[38],"is":[39,60,89],"an":[40,61],"urgent":[41],"need":[42],"detect":[44,75,107],"or":[45,54,240],"predict":[47,135],"such":[48,76],"wildfires":[49,69,108,139,245],"before":[50],"they":[51],"become":[52],"out":[55],"control.":[57],"This":[58],"project":[59],"attempt":[62],"design":[64],"a":[65,98,202],"machine":[66,145],"learning":[67,146],"based":[68],"detection":[70],"prediction":[72],"system":[73,88,114,199],"wildfire":[77],"at":[79],"early":[80],"stages":[81],"as":[82,84],"well":[83],"predict.":[85],"The":[86,143,198],"ML-based":[87],"planned":[90],"use":[92,103,116,194],"the":[93,113,117,122,125,136,162,173,181,184,186,196,242],"remote-sensed":[94,234],"satellite":[95,235],"images":[96,166],"particular":[99,222],"geographical":[100,223],"region":[101,123,224,248],"image":[104,126,236],"processing":[105],"early,":[109],"if":[110],"any.":[111],"Otherwise,":[112],"would":[115,175,190],"other":[118],"parameters":[119],"related":[120],"like":[127,148],"temperature,":[128,226],"wind":[129,227],"speed,":[130,228],"pressure,":[131],"vegetation,":[132],"etc.":[133],"occurrence":[137],"near":[141],"future.":[142],"supervised":[144],"algorithms":[147,174],"kNN,":[149],"Logistic":[150],"Regression,":[151],"Random":[153],"Forest":[154],"will":[155,200],"be":[156,176,191],"applied":[157],"train":[159],"test":[161],"sets":[164],"data.":[168],"A":[169],"comparative":[170],"study":[171],"done":[177],"depending":[179],"on":[180],"results":[182],"study,":[185],"best":[187],"them":[189],"selected":[192],"for":[193,220,237],"by":[195],"system.":[197],"have":[201],"front-end":[203],"web":[204],"interface":[205],"where":[206],"any":[207,221],"user":[208],"(like":[209,225],"monitoring":[211],"officials,":[212],"protection":[214],"agencies,":[215],"etc..)":[216],"can":[217],"upload":[218],"data":[219],"pressure":[229],"etc.)":[230],"along":[231],"with":[232],"it\u2019s":[233],"either":[238],"detecting":[239],"predicting":[241],"possibility":[243],"that":[247],"concern.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2023-04-05T00:00:00"}
