{"id":"https://openalex.org/W2988711285","doi":"https://doi.org/10.1145/3356471.3365242","title":"Mapping Miscanthus Using Multi-Temporal Convolutional Neural Network and Google Earth Engine","display_name":"Mapping Miscanthus Using Multi-Temporal Convolutional Neural Network and Google Earth Engine","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2988711285","doi":"https://doi.org/10.1145/3356471.3365242","mag":"2988711285"},"language":"en","primary_location":{"id":"doi:10.1145/3356471.3365242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356471.3365242","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101641867","display_name":"Yanan Xin","orcid":"https://orcid.org/0000-0003-3866-821X"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanan Xin","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039144425","display_name":"Paul R. Adler","orcid":"https://orcid.org/0000-0002-6787-631X"},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I1336096307","display_name":"United States Department of Agriculture","ror":"https://ror.org/01na82s61","country_code":"US","type":"government","lineage":["https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul R. Adler","raw_affiliation_strings":["United States Department of Agriculture, Agricultural Research Service (USDA-ARS), University Park, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United States Department of Agriculture, Agricultural Research Service (USDA-ARS), University Park, PA","institution_ids":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8689,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92039488,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"81","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9639000296592712,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9596999883651733,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/miscanthus","display_name":"Miscanthus","score":0.8918318748474121},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7705714702606201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6921160817146301},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5627590417861938},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.534603476524353},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5131157040596008},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4708558917045593},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43971163034439087},{"id":"https://openalex.org/keywords/earth-observation","display_name":"Earth observation","score":0.4189271926879883},{"id":"https://openalex.org/keywords/grassland","display_name":"Grassland","score":0.41573694348335266},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39340710639953613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.384712815284729},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36384156346321106},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.19781085848808289},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1615258753299713},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09541398286819458},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09443724155426025}],"concepts":[{"id":"https://openalex.org/C2779012619","wikidata":"https://www.wikidata.org/wiki/Q131542","display_name":"Miscanthus","level":4,"score":0.8918318748474121},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7705714702606201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6921160817146301},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5627590417861938},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.534603476524353},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5131157040596008},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4708558917045593},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43971163034439087},{"id":"https://openalex.org/C39399123","wikidata":"https://www.wikidata.org/wiki/Q1348989","display_name":"Earth observation","level":3,"score":0.4189271926879883},{"id":"https://openalex.org/C2775835988","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland","level":2,"score":0.41573694348335266},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39340710639953613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.384712815284729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36384156346321106},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.19781085848808289},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1615258753299713},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09541398286819458},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09443724155426025},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C156380964","wikidata":"https://www.wikidata.org/wiki/Q18556","display_name":"Bioenergy","level":3,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188573790","wikidata":"https://www.wikidata.org/wiki/Q12705","display_name":"Renewable energy","level":2,"score":0.0},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356471.3365242","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356471.3365242","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1947481528","https://openalex.org/W1986738039","https://openalex.org/W2064675550","https://openalex.org/W2068094410","https://openalex.org/W2248723555","https://openalex.org/W2259165179","https://openalex.org/W2548875948","https://openalex.org/W2568539368","https://openalex.org/W2578756457","https://openalex.org/W2603798200","https://openalex.org/W2742982421","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2786038065","https://openalex.org/W2790979755","https://openalex.org/W2792827505","https://openalex.org/W3102127038","https://openalex.org/W3104839310"],"related_works":["https://openalex.org/W2518252315","https://openalex.org/W3129501414","https://openalex.org/W4226310011","https://openalex.org/W4211061223","https://openalex.org/W2554014424","https://openalex.org/W2734568398","https://openalex.org/W1575166872","https://openalex.org/W1574117744","https://openalex.org/W2372921566","https://openalex.org/W2163413977"],"abstract_inverted_index":{"Grasslands":[0],"play":[1],"an":[2],"essential":[3,18],"role":[4],"in":[5,28,159],"ecology":[6],"and":[7,23,31,147],"agriculture.":[8],"Accurately":[9],"mapping":[10,71],"the":[11,37,47,52,63,68,74,117,129,145,155],"grasslands":[12],"at":[13,62,73],"a":[14,82,105,121,134,160],"large":[15],"scale":[16,76],"is":[17,102,125],"for":[19,51,91,108],"productivity":[20],"monitoring,":[21],"policymaking,":[22],"environmental":[24],"assessment.":[25],"The":[26,112],"advancements":[27],"remote":[29],"sensing":[30],"machine":[32],"learning":[33],"technologies":[34],"have":[35],"enabled":[36],"generation":[38],"of":[39,70,114,149],"high":[40,78],"accuracy":[41,131],"national":[42,48,75],"level":[43],"crop":[44,49],"layers.":[45],"Although":[46],"layer":[50],"US":[53],"includes":[54],"grasslands,":[55],"it":[56],"does":[57],"not":[58],"differentiate":[59],"them":[60],"well":[61],"species":[64],"level.":[65],"To":[66],"fill":[67],"gap":[69],"grassland":[72],"with":[77],"accuracy,":[79,123],"we":[80,143],"used":[81,103],"Convolutional":[83],"Long":[84],"Short-Term":[85],"Memory":[86],"(Convolutional-LSTM)":[87],"neural":[88,140],"network":[89],"model":[90,119,136],"grass":[92],"identification":[93],"using":[94,116],"multi-temporal":[95],"Sentinel-2":[96],"images.":[97],"Miscanthus":[98,115],"(Miscanthus":[99],"x":[100],"giganteus)":[101],"as":[104],"case":[106],"study":[107],"this":[109],"short":[110],"paper.":[111],"classification":[113],"Convolutional-LSTM":[118],"yielded":[120],"98.8%":[122],"which":[124],"significantly":[126],"higher":[127],"than":[128],"92%":[130],"produced":[132],"by":[133,153],"benchmark":[135],"3-layer":[137],"fully":[138],"connected":[139],"network.":[141],"Additionally,":[142],"demonstrated":[144],"efficiency":[146],"effectiveness":[148],"cloud":[150],"computing":[151],"practices":[152],"implementing":[154],"entire":[156],"analytical":[157],"process":[158],"cloud-based":[161],"environment.":[162]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
