{"id":"https://openalex.org/W4313472421","doi":"https://doi.org/10.3390/rs15010262","title":"On the Choice of the Most Suitable Period to Map Hill Lakes via Spectral Separability and Object-Based Image Analyses","display_name":"On the Choice of the Most Suitable Period to Map Hill Lakes via Spectral Separability and Object-Based Image Analyses","publication_year":2023,"publication_date":"2023-01-02","ids":{"openalex":"https://openalex.org/W4313472421","doi":"https://doi.org/10.3390/rs15010262"},"language":"en","primary_location":{"id":"doi:10.3390/rs15010262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010262","pdf_url":"https://www.mdpi.com/2072-4292/15/1/262/pdf?version=1672926842","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/1/262/pdf?version=1672926842","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010848095","display_name":"Antonino Maltese","orcid":"https://orcid.org/0000-0002-2778-4680"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Antonino Maltese","raw_affiliation_strings":["Department of Engineering, Universit\u00e0 degli Studi di Palermo, 90128 Palermo, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, Universit\u00e0 degli Studi di Palermo, 90128 Palermo, Italy","institution_ids":["https://openalex.org/I900890020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010848095"],"corresponding_institution_ids":["https://openalex.org/I900890020"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.323,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58117439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"15","issue":"1","first_page":"262","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9965000152587891,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/arid","display_name":"Arid","score":0.6173285841941833},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5951941013336182},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5290298461914062},{"id":"https://openalex.org/keywords/temperate-climate","display_name":"Temperate climate","score":0.4873236119747162},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4587976336479187},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.38741374015808105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37663590908050537},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.34126192331314087},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.33742737770080566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2220079004764557},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19163581728935242},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.09726464748382568}],"concepts":[{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.6173285841941833},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5951941013336182},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5290298461914062},{"id":"https://openalex.org/C81461190","wikidata":"https://www.wikidata.org/wiki/Q167466","display_name":"Temperate climate","level":2,"score":0.4873236119747162},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4587976336479187},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.38741374015808105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37663590908050537},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.34126192331314087},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33742737770080566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2220079004764557},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19163581728935242},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.09726464748382568},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs15010262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010262","pdf_url":"https://www.mdpi.com/2072-4292/15/1/262/pdf?version=1672926842","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:iris.unipa.it:10447/578154","is_oa":true,"landing_page_url":"https://hdl.handle.net/10447/578154","pdf_url":"https://iris.unipa.it/bitstream/10447/578154/2/%5bMaltese%202023%5d%20remotesensing-15-00262.pdf","source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"pmh:oai:doaj.org/article:175c8c993a6a4f5583744d62608b688d","is_oa":true,"landing_page_url":"https://doaj.org/article/175c8c993a6a4f5583744d62608b688d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 1, p 262 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/1/262/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15010262","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 15; Issue 1; Pages: 262","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15010262","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010262","pdf_url":"https://www.mdpi.com/2072-4292/15/1/262/pdf?version=1672926842","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322007","display_name":"Ministry of Environment","ror":"https://ror.org/04xmt0833"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313472421.pdf"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W28693142","https://openalex.org/W428849387","https://openalex.org/W1515364772","https://openalex.org/W1536826708","https://openalex.org/W1965500690","https://openalex.org/W1967769689","https://openalex.org/W1978617972","https://openalex.org/W1981241968","https://openalex.org/W1984792953","https://openalex.org/W1999478155","https://openalex.org/W2002568643","https://openalex.org/W2015290775","https://openalex.org/W2022944615","https://openalex.org/W2041180574","https://openalex.org/W2053154970","https://openalex.org/W2056132907","https://openalex.org/W2063553556","https://openalex.org/W2063907334","https://openalex.org/W2070285512","https://openalex.org/W2072117730","https://openalex.org/W2082850056","https://openalex.org/W2087670708","https://openalex.org/W2095028777","https://openalex.org/W2105554350","https://openalex.org/W2106989261","https://openalex.org/W2119877108","https://openalex.org/W2127346403","https://openalex.org/W2150290224","https://openalex.org/W2157967198","https://openalex.org/W2164777277","https://openalex.org/W2167330663","https://openalex.org/W2169955806","https://openalex.org/W2188535818","https://openalex.org/W2189367423","https://openalex.org/W2279077827","https://openalex.org/W2321693731","https://openalex.org/W2335798593","https://openalex.org/W2438939487","https://openalex.org/W2504969653","https://openalex.org/W2522937849","https://openalex.org/W2576928011","https://openalex.org/W2609532080","https://openalex.org/W2610254470","https://openalex.org/W2612541393","https://openalex.org/W2620249041","https://openalex.org/W2736822861","https://openalex.org/W2754586266","https://openalex.org/W2784739051","https://openalex.org/W2789322300","https://openalex.org/W2792800255","https://openalex.org/W2793116851","https://openalex.org/W2810418258","https://openalex.org/W2903426104","https://openalex.org/W2910355480","https://openalex.org/W2914353648","https://openalex.org/W2914357602","https://openalex.org/W2915254566","https://openalex.org/W2921647730","https://openalex.org/W2948570246","https://openalex.org/W2965390952","https://openalex.org/W2981162429","https://openalex.org/W2981719849","https://openalex.org/W2999693988","https://openalex.org/W3012253464","https://openalex.org/W3016664505","https://openalex.org/W3022378226","https://openalex.org/W3035431899","https://openalex.org/W3040084036","https://openalex.org/W3090803802","https://openalex.org/W3091899100","https://openalex.org/W3099176675","https://openalex.org/W3104329582","https://openalex.org/W3135327530","https://openalex.org/W3155384145","https://openalex.org/W3163489199","https://openalex.org/W3184581301","https://openalex.org/W3210147741","https://openalex.org/W4211062746","https://openalex.org/W4224295519","https://openalex.org/W4298113233","https://openalex.org/W6604233986","https://openalex.org/W6614822735","https://openalex.org/W6630921428","https://openalex.org/W6694931204","https://openalex.org/W6703238135","https://openalex.org/W6718519571","https://openalex.org/W6724868818","https://openalex.org/W6737823158","https://openalex.org/W6759353453","https://openalex.org/W6775236017","https://openalex.org/W6843958577"],"related_works":["https://openalex.org/W2249491925","https://openalex.org/W2383431679","https://openalex.org/W2385855844","https://openalex.org/W2358296458","https://openalex.org/W3003911445","https://openalex.org/W2353518945","https://openalex.org/W3214525335","https://openalex.org/W306990081","https://openalex.org/W2367225526","https://openalex.org/W15285571"],"abstract_inverted_index":{"Technological":[0],"advances":[1],"in":[2,29,132,185,207,211,223,257],"Earth":[3],"observation":[4],"made":[5],"images":[6,77,130,255],"characterized":[7],"by":[8,87,106,151,196],"high":[9,126],"spatial":[10,127],"and":[11,41,53,80,105,138,143,155,160,181,188,201,250],"temporal":[12],"resolutions":[13],"available,":[14],"nevertheless":[15],"bringing":[16],"with":[17],"them":[18],"the":[19,57,70,89,93,113,167,186,198,208,212,216,224,231,240,258],"radiometric":[20],"heterogeneity":[21,54],"of":[22,59,92,96,116,162,171],"small":[23,32],"geographical":[24,33],"entities,":[25,34],"often":[26],"also":[27],"changing":[28],"time.":[30],"Among":[31],"hill":[35,82,97,163,172,269],"lakes":[36,98,164,173],"exhibit":[37],"a":[38,108,117],"widespread":[39],"distribution,":[40],"their":[42,175],"census":[43],"is":[44,69,85],"sometimes":[45],"partial":[46],"or":[47,102],"shows":[48],"unreliable":[49],"data.":[50],"High":[51],"resolution":[52,128],"have":[55],"boosted":[56],"development":[58],"geographic":[60],"object-based":[61],"image":[62,209],"analysis":[63],"algorithms.":[64],"This":[65,84],"research":[66],"analyzes":[67],"which":[68],"most":[71],"suitable":[72,263],"period":[73,214,260],"for":[74],"acquiring":[75],"satellite":[76,129],"to":[78,111,125,141,267],"identify":[79],"delimitate":[81],"lakes.":[83,270],"achieved":[86],"analyzing":[88],"spectral":[90],"separability":[91,170,219,248],"surface":[94],"reflectance":[95],"from":[99,174],"surrounding":[100,176],"bare":[101],"vegetated":[103],"soils":[104],"implementing":[107],"semiautomatic":[109],"procedure":[110,122],"enhance":[112],"segmentation":[114,147,228],"phase":[115],"GEOBIA":[118],"algorithm.":[119],"The":[120,146,169,191,227],"proposed":[121],"was":[123,177,194],"applied":[124],"acquired":[131,210,256],"two":[133],"different":[134],"climate":[135],"periods":[136],"(arid":[137],"temperate),":[139],"corresponding":[140],"dry":[142],"vegetative":[144],"seasons.":[145],"parameters":[148],"were":[149],"tuned":[150],"minimizing":[152],"an":[153],"under-":[154],"oversegmentation":[156],"metric":[157],"on":[158,230,239],"surfaces":[159],"perimeters":[161,242],"selected":[165],"as":[166],"reference.":[168],"evaluated":[178,195],"using":[179],"Euclidean":[180],"divergence":[182],"metrics":[183,249],"both":[184],"arid":[187,213,259],"temperate":[189,225,265],"periods.":[190],"classification":[192,251],"accuracy":[193],"calculating":[197],"error":[199,203],"matrix":[200],"normalized":[202],"matrix.":[204],"Classes\u2019":[205],"reflectances":[206],"show":[215],"highest":[217],"average":[218],"(3\u20134":[220],"higher":[221],"than":[222,236,264],"one).":[226],"based":[229,238],"reference":[232,241],"areas":[233],"performs":[234],"more":[235,262],"that":[237,254],"(metric":[243],"\u2248":[244],"20%":[245],"lower).":[246],"Both":[247],"accuracies":[252],"indicate":[253],"are":[261],"ones":[266],"map":[268]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}