{"id":"https://openalex.org/W4407389826","doi":"https://doi.org/10.1145/3708468.3715679","title":"TerraTrace - Spatio-Temporal Vegetation Signatures for Land Use Analytics","display_name":"TerraTrace - Spatio-Temporal Vegetation Signatures for Land Use Analytics","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4407389826","doi":"https://doi.org/10.1145/3708468.3715679"},"language":"en","primary_location":{"id":"doi:10.1145/3708468.3715679","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708468.3715679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2502.18704","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057307036","display_name":"Angela Busheska","orcid":"https://orcid.org/0009-0009-4052-3942"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Angela Busheska","raw_affiliation_strings":["Microsoft Research, Redmond, USA"],"raw_orcid":"https://orcid.org/0009-0009-4052-3942","affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080282367","display_name":"Vikram Iyer","orcid":"https://orcid.org/0000-0002-3025-7953"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vikram Iyer","raw_affiliation_strings":["University of Washington, Seattle USA"],"raw_orcid":"https://orcid.org/0000-0002-3025-7953","affiliations":[{"raw_affiliation_string":"University of Washington, Seattle USA","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022412205","display_name":"Bruno F. B. Silva","orcid":"https://orcid.org/0000-0002-8997-6311"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruno Silva","raw_affiliation_strings":["Microsoft Research, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-8997-6311","affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037212510","display_name":"Peder A. Olsen","orcid":"https://orcid.org/0000-0002-3836-8017"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peder Olsen","raw_affiliation_strings":["Microsoft Research, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-3836-8017","affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034564275","display_name":"Ranveer Chandra","orcid":"https://orcid.org/0000-0002-4175-1404"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ranveer Chandra","raw_affiliation_strings":["Microsoft Research, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-4175-1404","affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041927641","display_name":"Vaishnavi Ranganathan","orcid":"https://orcid.org/0000-0002-2757-3365"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vaishnavi Ranganathan","raw_affiliation_strings":["Microsoft Research, Redmond, USA"],"raw_orcid":"https://orcid.org/0000-0002-2757-3365","affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057307036"],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02144649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9979000091552734,"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":0.9979000091552734,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9977999925613403,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.6639049649238586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6147651672363281},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5709682703018188},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.42452824115753174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23717111349105835},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20845183730125427}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.6639049649238586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6147651672363281},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5709682703018188},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.42452824115753174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23717111349105835},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20845183730125427},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3708468.3715679","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3708468.3715679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2502.18704","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.18704","pdf_url":"https://arxiv.org/pdf/2502.18704","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2502.18704","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.18704","pdf_url":"https://arxiv.org/pdf/2502.18704","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.44999998807907104,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4362717754"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Every":[0],"year,":[1],"humanity":[2],"clears":[3],"10":[4],"million":[5],"hectares":[6],"of":[7,16,30,136],"forests,":[8],"which":[9,37],"releases":[10],"more":[11],"than":[12],"5.6":[13],"billion":[14],"tonnes":[15],"greenhouse":[17],"gases.":[18],"This":[19],"significant":[20],"contribution":[21],"to":[22,27,39,44,62,69,106,151],"climate":[23],"change":[24],"has":[25],"led":[26],"the":[28,35,49,137,170],"passage":[29],"global":[31,60],"regulations,":[32],"such":[33,64],"as":[34],"EUDR,":[36],"aims":[38],"ensure":[40],"that":[41,91,115,133],"products":[42],"linked":[43],"deforestation":[45],"are":[46,56],"excluded":[47],"from":[48,77,157],"European":[50],"market.":[51],"Satellite-based":[52],"remote":[53],"sensing":[54],"tools":[55],"popularly":[57],"used":[58],"for":[59],"monitoring":[61],"enable":[63],"compliance.":[65],"However,":[66],"they":[67],"struggle":[68],"differentiate":[70],"vegetation":[71],"types":[72],"in":[73],"farms":[74],"and":[75,98,126,159],"orchards":[76],"forests":[78,156],"(Fig.1.A).":[79],"To":[80],"solve":[81],"this,":[82],"we":[83,131,168],"develop":[84],"TerraTrace,":[85],"a":[86],"temporal":[87,121,148],"signature":[88],"mapping":[89],"tool":[90],"combines":[92],"Spectral":[93],"Vegetation":[94,140],"Indices,":[95],"Satellite":[96],"Imagery,":[97],"open":[99],"data":[100,119],"like":[101,123],"Cropland":[102],"Data":[103],"Layer":[104],"(CDL)":[105],"estimate":[107],"historical":[108],"land":[109],"use.":[110],"The":[111],"key":[112],"insight":[113],"is":[114],"satellite-based":[116],"spectral":[117],"index":[118],"shows":[120],"variables":[122],"agricultural":[124],"practices":[125],"plant":[127,145],"growth":[128],"cycles.":[129],"Specifically,":[130],"demonstrate":[132],"yearly":[134],"patterns":[135,162],"Normalized":[138],"Difference":[139],"Index":[141],"(NDVI),":[142],"based":[143],"on":[144],"photosynthesis,":[146],"have":[147],"signatures":[149],"unique":[150],"different":[152,164],"crops,":[153,158],"can":[154],"distinguish":[155],"follow":[160],"consistent":[161],"across":[163],"locations.":[165],"Leveraging":[166],"this":[167],"make":[169],"following":[171],"contributions":[172],"(Fig.2):":[173]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-02-12T00:00:00"}