{"id":"https://openalex.org/W4402064504","doi":"https://doi.org/10.1080/13658816.2024.2397441","title":"Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi\u2019s domain adaptability","display_name":"Geospatial foundation models for image analysis: evaluating and enhancing NASA-IBM Prithvi\u2019s domain adaptability","publication_year":2024,"publication_date":"2024-08-30","ids":{"openalex":"https://openalex.org/W4402064504","doi":"https://doi.org/10.1080/13658816.2024.2397441"},"language":"en","primary_location":{"id":"doi:10.1080/13658816.2024.2397441","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2024.2397441","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},"type":"article","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/A5104282931","display_name":"Chia-Yu Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chia-Yu Hsu","raw_affiliation_strings":["School of Geographical Sciences and Urban Planning, Arizona State University","School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338179","display_name":"Wenwen Li","orcid":"https://orcid.org/0000-0003-2237-9499"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenwen Li","raw_affiliation_strings":["School of Geographical Sciences and Urban Planning, Arizona State University","School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033689587","display_name":"Sizhe Wang","orcid":"https://orcid.org/0000-0001-6447-2435"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sizhe Wang","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University","School of Geographical Sciences and Urban Planning, Arizona State University","School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100338179"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":7.224,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97543664,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"39","issue":"9","first_page":"2096","last_page":"2125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9900000095367432,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.8336976766586304},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7733619809150696},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.6286347508430481},{"id":"https://openalex.org/keywords/geomatics","display_name":"Geomatics","score":0.5551950335502625},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5424469709396362},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5322211980819702},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.5018975734710693},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.4601685404777527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43833598494529724},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.426789790391922},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3629443049430847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12341096997261047},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.08945542573928833}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8336976766586304},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7733619809150696},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.6286347508430481},{"id":"https://openalex.org/C12780434","wikidata":"https://www.wikidata.org/wiki/Q619798","display_name":"Geomatics","level":2,"score":0.5551950335502625},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5424469709396362},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5322211980819702},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.5018975734710693},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.4601685404777527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43833598494529724},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.426789790391922},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3629443049430847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12341096997261047},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.08945542573928833},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13658816.2024.2397441","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658816.2024.2397441","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1170860268","display_name":"MCA: Career Advancement in Polar Cyberinfrastructure: Permafrost Feature Mapping and Change Detection using Geospatial Artificial Intelligence and Remote Sensing","funder_award_id":"2120943","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4782548247","display_name":"Collaborative Research: CyberTraining: Implementation: Medium: Cyber2A: CyberTraining on AI-driven Analytics for Next Generation Arctic Scientists","funder_award_id":"2230034","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8813306948","display_name":"GeoAI for Terrain Analysis: A Deep-Learning Approach for Landform Feature Detection","funder_award_id":"1853864","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2033312735","https://openalex.org/W2063135069","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2565639579","https://openalex.org/W2566079294","https://openalex.org/W2804841028","https://openalex.org/W2899944658","https://openalex.org/W2905931080","https://openalex.org/W2936628966","https://openalex.org/W2947363587","https://openalex.org/W2951674790","https://openalex.org/W2963150697","https://openalex.org/W2982441053","https://openalex.org/W3005088143","https://openalex.org/W3006326483","https://openalex.org/W3037702162","https://openalex.org/W3111994125","https://openalex.org/W3138516171","https://openalex.org/W3172509672","https://openalex.org/W3172599549","https://openalex.org/W3176445421","https://openalex.org/W3202370220","https://openalex.org/W3208306314","https://openalex.org/W3214726055","https://openalex.org/W4214836092","https://openalex.org/W4226196791","https://openalex.org/W4236965008","https://openalex.org/W4285043263","https://openalex.org/W4288391486","https://openalex.org/W4288474812","https://openalex.org/W4292198479","https://openalex.org/W4294415019","https://openalex.org/W4301409532","https://openalex.org/W4308090443","https://openalex.org/W4308986509","https://openalex.org/W4312446817","https://openalex.org/W4312560592","https://openalex.org/W4312769131","https://openalex.org/W4312795296","https://openalex.org/W4312874675","https://openalex.org/W4313156423","https://openalex.org/W4377043947","https://openalex.org/W4382619409","https://openalex.org/W4385245566","https://openalex.org/W4386825420","https://openalex.org/W4388624446","https://openalex.org/W4388834734","https://openalex.org/W4389104871","https://openalex.org/W4389104899","https://openalex.org/W4389474133","https://openalex.org/W4390873795","https://openalex.org/W4390874575","https://openalex.org/W4390932571","https://openalex.org/W4392044798","https://openalex.org/W4392154986","https://openalex.org/W4395055639","https://openalex.org/W4396982199","https://openalex.org/W4400918155","https://openalex.org/W4401635327","https://openalex.org/W6610928041","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"Research":[0],"on":[1,80,102],"geospatial":[2,12,128,181],"foundation":[3,44,178],"models":[4,45,126,179],"(GFMs)":[5],"has":[6],"become":[7],"a":[8,63],"trending":[9],"topic":[10],"in":[11,50,127],"artificial":[13],"intelligence":[14],"(AI)":[15],"research":[16],"due":[17],"to":[18,115,121,151],"their":[19],"potential":[20],"for":[21,32,46,76,170,180],"achieving":[22],"high":[23],"generalizability":[24],"and":[25,139,144,157,166,174],"domain":[26,154],"adaptability,":[27],"reducing":[28],"model":[29,159],"training":[30],"costs":[31],"individual":[33],"researchers.":[34],"Unlike":[35],"large":[36],"language":[37],"models,":[38],"such":[39,56],"as":[40,57,119],"ChatGPT,":[41],"constructing":[42],"visual":[43,177],"image":[47,82,129,148],"analysis,":[48],"particularly":[49],"remote":[51,106],"sensing,":[52],"encountered":[53],"significant":[54],"challenges":[55],"formulating":[58],"diverse":[59],"vision":[60],"tasks":[61,84],"into":[62,146],"general":[64],"problem":[65],"framework.":[66],"This":[67],"paper":[68],"evaluates":[69],"the":[70,97],"recently":[71],"released":[72],"NASA-IBM":[73],"GFM":[74],"Prithvi":[75,89,173],"its":[77],"predictive":[78],"performance":[79,118],"high-level":[81],"analysis":[83,149],"across":[85],"multiple":[86],"benchmark":[87],"datasets.":[88],"was":[90],"selected":[91],"because":[92],"it":[93],"is":[94],"one":[95],"of":[96,104,111],"first":[98],"open-source":[99],"GFMs":[100],"trained":[101],"time-series":[103],"high-resolution":[105],"sensing":[107],"imagery.":[108],"A":[109],"series":[110],"experiments":[112],"were":[113],"designed":[114],"assess":[116],"Prithvi\u2019s":[117,153,164],"compared":[120],"other":[122],"pre-trained":[123],"task-specific":[124],"AI":[125],"analysis.":[130],"New":[131],"strategies,":[132],"including":[133],"band":[134],"adaptation,":[135],"multi-scale":[136],"feature":[137],"generation,":[138],"fine-tuning":[140],"techniques,":[141],"are":[142],"introduced":[143],"integrated":[145],"an":[147],"pipeline":[150],"enhance":[152],"adaptation":[155],"capability":[156],"improve":[158],"performance.":[160],"In-depth":[161],"analyses":[162],"reveal":[163],"strengths":[165],"weaknesses,":[167],"offering":[168],"insights":[169],"both":[171],"improving":[172],"developing":[175],"future":[176],"tasks.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}