{"id":"https://openalex.org/W4389265341","doi":"https://doi.org/10.3389/frai.2023.1278118","title":"Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery","display_name":"Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389265341","doi":"https://doi.org/10.3389/frai.2023.1278118","pmid":"https://pubmed.ncbi.nlm.nih.gov/38106982"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2023.1278118","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2023.1278118","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1278118/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1278118/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027463438","display_name":"Timo T. Stomberg","orcid":"https://orcid.org/0000-0002-5452-4104"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Timo T. Stomberg","raw_affiliation_strings":["Remote Sensing Group, Institute of Geodesy and Geoinformation, Faculty of Agriculture, University of Bonn, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Group, Institute of Geodesy and Geoinformation, Faculty of Agriculture, University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047214447","display_name":"Johannes Leonhardt","orcid":"https://orcid.org/0000-0002-4505-5086"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Leonhardt","raw_affiliation_strings":["Remote Sensing Group, Institute of Geodesy and Geoinformation, Faculty of Agriculture, University of Bonn, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Group, Institute of Geodesy and Geoinformation, Faculty of Agriculture, University of Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079082144","display_name":"Immanuel Weber","orcid":"https://orcid.org/0000-0002-5150-9697"},"institutions":[{"id":"https://openalex.org/I4210130010","display_name":"Atlas Copco (Germany)","ror":"https://ror.org/039wjmj68","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210105379","https://openalex.org/I4210130010"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Immanuel Weber","raw_affiliation_strings":["AB-EX Community, PLEdoc GmbH, Essen, Germany","AB\u2013EX Community, PLEdoc GmbH, Essen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AB-EX Community, PLEdoc GmbH, Essen, Germany","institution_ids":["https://openalex.org/I4210130010"]},{"raw_affiliation_string":"AB\u2013EX Community, PLEdoc GmbH, Essen, Germany","institution_ids":["https://openalex.org/I4210130010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043510754","display_name":"Ribana Roscher","orcid":"https://orcid.org/0000-0003-0094-6210"},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ribana Roscher","raw_affiliation_strings":["Data Science for Crop Systems, Institute of Bio- and Geosciences, Plant Sciences, Forschungszentrum J\u00fclich GmbH, J\u00fclich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data Science for Crop Systems, Institute of Bio- and Geosciences, Plant Sciences, Forschungszentrum J\u00fclich GmbH, J\u00fclich, Germany","institution_ids":["https://openalex.org/I171892758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027463438","https://openalex.org/A5043510754"],"corresponding_institution_ids":["https://openalex.org/I135140700","https://openalex.org/I171892758"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":1.1791,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77729117,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"1278118","last_page":"1278118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9962000250816345,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.995199978351593,"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/naturalness","display_name":"Naturalness","score":0.8641747236251831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7075601816177368},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5560497641563416},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5548306703567505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5124976634979248},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5010113716125488},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.4638887047767639},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4355486333370209},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39307349920272827},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.3579670190811157},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21486172080039978},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.18135225772857666}],"concepts":[{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.8641747236251831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7075601816177368},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5560497641563416},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5548306703567505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5124976634979248},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5010113716125488},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.4638887047767639},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4355486333370209},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39307349920272827},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.3579670190811157},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21486172080039978},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.18135225772857666},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2023.1278118","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2023.1278118","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1278118/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:38106982","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38106982","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10725256","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10725256","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10725256/pdf/frai-06-1278118.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Front Artif Intell","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:a69343f8f9dc4de183aeea3ee65036cf","is_oa":true,"landing_page_url":"https://doaj.org/article/a69343f8f9dc4de183aeea3ee65036cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 6 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2023.1278118","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2023.1278118","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1278118/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G1050232245","display_name":null,"funder_award_id":"450058266","funder_id":"https://openalex.org/F4320324900","funder_display_name":"Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn"},{"id":"https://openalex.org/G3796399684","display_name":null,"funder_award_id":"EXC-2070-390732324","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G4849223184","display_name":"SFB 1502: Regionaler Klimawandel: Die Rolle von Landnutzung und Wassermanagement","funder_award_id":"450058266","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G5210274402","display_name":"OpenAccessPublikationskosten / 2022  2024 / Forschungszentrum J\u00fclich (OAPKFZJ)","funder_award_id":"491111487","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G543954601","display_name":null,"funder_award_id":"1502/1-2022","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6637089785","display_name":"EXC 2070: PhenoRob  Robotik und Ph\u00e4notypisierung f\u00fcr Nachhaltige Nutzpflanzenproduktion","funder_award_id":"390732324","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6762524525","display_name":null,"funder_award_id":"-491111487","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7084648248","display_name":null,"funder_award_id":"SFB 1502/1-2022","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7235769317","display_name":null,"funder_award_id":"RO 4839/5-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G7271993789","display_name":null,"funder_award_id":"SCHM 3322/4-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G8643545268","display_name":null,"funder_award_id":"2070-390732324","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320324900","display_name":"Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn","ror":"https://ror.org/041nas322"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389265341.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W103239796","https://openalex.org/W1783315696","https://openalex.org/W1973984637","https://openalex.org/W1981213426","https://openalex.org/W2011301426","https://openalex.org/W2012494469","https://openalex.org/W2101234009","https://openalex.org/W2146904764","https://openalex.org/W2150593711","https://openalex.org/W2163922914","https://openalex.org/W2282821441","https://openalex.org/W2499316477","https://openalex.org/W2503014672","https://openalex.org/W2535388113","https://openalex.org/W2560662850","https://openalex.org/W2594633041","https://openalex.org/W2605214291","https://openalex.org/W2616247523","https://openalex.org/W2725897987","https://openalex.org/W2746791238","https://openalex.org/W2888358068","https://openalex.org/W2911554154","https://openalex.org/W2940726923","https://openalex.org/W2945526235","https://openalex.org/W2953073956","https://openalex.org/W2957648619","https://openalex.org/W2962851944","https://openalex.org/W2963382180","https://openalex.org/W2963587345","https://openalex.org/W2992308087","https://openalex.org/W3020631510","https://openalex.org/W3025440848","https://openalex.org/W3085380432","https://openalex.org/W3102564565","https://openalex.org/W3118335270","https://openalex.org/W3132191748","https://openalex.org/W3134751001","https://openalex.org/W3146764839","https://openalex.org/W3150635270","https://openalex.org/W3169855463","https://openalex.org/W3175650429","https://openalex.org/W3184850529","https://openalex.org/W3209872747","https://openalex.org/W3216858835","https://openalex.org/W4288099723","https://openalex.org/W4293861706","https://openalex.org/W4295312788","https://openalex.org/W6637131181","https://openalex.org/W6639204139","https://openalex.org/W6639824700","https://openalex.org/W6675354045","https://openalex.org/W6734194636","https://openalex.org/W6737947904","https://openalex.org/W6752170072","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2029561777","https://openalex.org/W1554502231","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W3192667092","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607"],"abstract_inverted_index":{"The":[0,203],"accurate":[1],"and":[2,39,52,70,88,95,111,119,135,193,215,218],"comprehensive":[3],"mapping":[4,56],"of":[5,29,46,93,131,163,199],"land":[6,31],"cover":[7,32],"has":[8],"become":[9],"a":[10,25,35,41,106,125,136,160,183,196,210],"central":[11],"task":[12],"in":[13,65,152],"modern":[14],"environmental":[15],"research,":[16],"with":[17,159],"increasing":[18],"emphasis":[19],"on":[20],"machine":[21,42,78],"learning":[22,38,43,79],"approaches.":[23],"However,":[24],"clear":[26],"technical":[27],"definition":[28],"the":[30,47,178],"class":[33],"is":[34,50,58,209],"prerequisite":[36],"for":[37,156,195],"applying":[40],"model.":[44],"One":[45],"challenging":[48],"classes":[49],"naturalness":[51,94,217],"human":[53,96],"influence,":[54],"yet":[55],"it":[57],"important":[59],"due":[60],"to":[61,81,85,174,181,213],"its":[62],"critical":[63],"role":[64],"biodiversity":[66],"conservation,":[67],"habitat":[68],"assessment,":[69],"climate":[71],"change":[72],"monitoring.":[73],"We":[74,123,166],"present":[75],"an":[76,132,145],"interpretable":[77],"approach":[80,208],"map":[82],"patterns":[83],"related":[84],"territorial":[86,219],"protected":[87],"anthropogenic":[89],"areas":[90],"as":[91,117],"proxies":[92],"influence":[97],"using":[98],"satellite":[99],"imagery.":[100],"To":[101],"achieve":[102],"this,":[103],"we":[104],"train":[105],"weakly-supervised":[107],"convolutional":[108],"neural":[109],"network":[110,127,134],"subsequently":[112],"apply":[113],"attribution":[114,164],"methods":[115],"such":[116],"Grad-CAM":[118],"occlusion":[120],"sensitivity":[121],"mapping.":[122],"propose":[124],"novel":[126],"architecture":[128],"that":[129,148,206],"consists":[130],"image-to-image":[133],"shallow,":[137],"task-specific":[138],"head.":[139],"Both":[140],"sub-networks":[141],"are":[142],"connected":[143],"by":[144],"intermediate":[146,170],"layer":[147,171],"captures":[149],"high-level":[150],"features":[151],"full":[153],"resolution,":[154],"allowing":[155],"detailed":[157],"analysis":[158,198],"wide":[161],"range":[162],"methods.":[165],"further":[167],"analyze":[168],"how":[169],"activations":[172],"relate":[173],"their":[175],"attributions":[176,188],"across":[177,190],"training":[179],"dataset":[180],"establish":[182],"consistent":[184,189],"relationship.":[185],"This":[186],"makes":[187],"different":[191],"scenes":[192],"allows":[194],"large-scale":[197],"remote":[200],"sensing":[201],"data.":[202],"results":[204],"highlight":[205],"our":[207],"promising":[211],"way":[212],"observe":[214],"assess":[216],"protection.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}