{"id":"https://openalex.org/W1968232416","doi":"https://doi.org/10.1109/jstars.2014.2348411","title":"Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series","display_name":"Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W1968232416","doi":"https://doi.org/10.1109/jstars.2014.2348411","mag":"1968232416"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2348411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2348411","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5006977186","display_name":"He Yin","orcid":"https://orcid.org/0000-0002-2839-1723"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"He Yin","raw_affiliation_strings":["Geography Department, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany","Geography Department, Humboldt-Universit\u00e4t zu Berlin , Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Geography Department, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Geography Department, Humboldt-Universit\u00e4t zu Berlin , Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084928163","display_name":"Dirk Pflugmacher","orcid":"https://orcid.org/0000-0002-2226-4029"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dirk Pflugmacher","raw_affiliation_strings":["Geography Department, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany","Geography Department, Humboldt-Universit\u00e4t zu Berlin , Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Geography Department, Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Geography Department, Humboldt-Universit\u00e4t zu Berlin , Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030258636","display_name":"Robert E. Kennedy","orcid":"https://orcid.org/0000-0002-5507-474X"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert E. Kennedy","raw_affiliation_strings":["Department of Earth and Environment, Boston University, Boston, MA, USA","Department of Earth & Environment, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Earth and Environment, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Earth & Environment, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032477563","display_name":"Damien Sulla\u2010Menashe","orcid":"https://orcid.org/0000-0002-0435-6114"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Damien Sulla-Menashe","raw_affiliation_strings":["Department of Earth and Environment, Boston University, Boston, MA, USA","Department of Earth & Environment, Boston University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Earth and Environment, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Department of Earth & Environment, Boston University, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041171844","display_name":"Patrick Hostert","orcid":"https://orcid.org/0000-0002-5730-5484"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Hostert","raw_affiliation_strings":["Geography Department, Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Geography Department, Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universit\u00e4t zu Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006977186"],"corresponding_institution_ids":["https://openalex.org/I39343248"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":1.8602,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.84212934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":"8","first_page":"3421","last_page":"3427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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":0.998199999332428,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9954000115394592,"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/land-cover","display_name":"Land cover","score":0.8177329301834106},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.8141158819198608},{"id":"https://openalex.org/keywords/grassland","display_name":"Grassland","score":0.6877539157867432},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6748065948486328},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6137227416038513},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5659744739532471},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.5454346537590027},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5122470259666443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49727943539619446},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4896603226661682},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.44060018658638},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4364233613014221},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.43107870221138},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.21215581893920898},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.1891099512577057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15177014470100403},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13173353672027588},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13089486956596375}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.8177329301834106},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.8141158819198608},{"id":"https://openalex.org/C2775835988","wikidata":"https://www.wikidata.org/wiki/Q1006733","display_name":"Grassland","level":2,"score":0.6877539157867432},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6748065948486328},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6137227416038513},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5659744739532471},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.5454346537590027},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5122470259666443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49727943539619446},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4896603226661682},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.44060018658638},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4364233613014221},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.43107870221138},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.21215581893920898},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.1891099512577057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15177014470100403},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13173353672027588},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13089486956596375},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2348411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2348411","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G5088165183","display_name":null,"funder_award_id":"2009601084","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"},{"id":"https://openalex.org/F4320332183","display_name":"U.S. Geological Survey","ror":"https://ror.org/035a68863"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W88102679","https://openalex.org/W1536447791","https://openalex.org/W1964206146","https://openalex.org/W1965177832","https://openalex.org/W1979210946","https://openalex.org/W1980191009","https://openalex.org/W1985880012","https://openalex.org/W1997980023","https://openalex.org/W1998081962","https://openalex.org/W1999384533","https://openalex.org/W2000318706","https://openalex.org/W2032692680","https://openalex.org/W2034443267","https://openalex.org/W2040667072","https://openalex.org/W2042692910","https://openalex.org/W2043154307","https://openalex.org/W2045692755","https://openalex.org/W2047122864","https://openalex.org/W2053874044","https://openalex.org/W2071634982","https://openalex.org/W2095472131","https://openalex.org/W2099698780","https://openalex.org/W2100335098","https://openalex.org/W2104020653","https://openalex.org/W2105770001","https://openalex.org/W2121025662","https://openalex.org/W2125144297","https://openalex.org/W2130037317","https://openalex.org/W2130239832","https://openalex.org/W2138751033","https://openalex.org/W2140908571","https://openalex.org/W2161336494","https://openalex.org/W2161409430","https://openalex.org/W2394683962","https://openalex.org/W2911964244","https://openalex.org/W3141747252","https://openalex.org/W3144704820","https://openalex.org/W6603566459","https://openalex.org/W6632102171"],"related_works":["https://openalex.org/W2377244945","https://openalex.org/W1569360120","https://openalex.org/W2390860443","https://openalex.org/W2356977795","https://openalex.org/W2921923888","https://openalex.org/W2153381734","https://openalex.org/W2050072374","https://openalex.org/W1968232416","https://openalex.org/W2908695806","https://openalex.org/W2086038705"],"abstract_inverted_index":{"Mapping":[0],"land":[1,4,25,58,68,92,178],"use":[2],"and":[3,32,81,123,134,141,149],"cover":[5,59,69],"change":[6,180],"(LULCC)":[7],"over":[8],"large":[9],"areas":[10],"at":[11,40,182],"regular":[12],"time":[13,42,64,86,160],"intervals":[14,43],"is":[15],"a":[16,116,124,139,142],"key":[17],"requisite":[18],"to":[19,78,113],"improve":[20],"our":[21,101],"understanding":[22],"of":[23,66,100,105,119,127,145],"dynamic":[24],"systems.":[26],"In":[27],"this":[28],"study,":[29],"we":[30],"developed":[31],"tested":[33],"an":[34,161],"automated":[35],"approach":[36,54,102,162],"for":[37,157,177],"mapping":[38],"LULCCs":[39],"annual":[41,63],"using":[44],"data":[45],"from":[46,111,167],"the":[47,73,84,158],"Moderate":[48],"Resolution":[49],"Imaging":[50],"Spectroradiometer":[51],"(MODIS).":[52],"Our":[53],"characterizes":[55],"changes":[56,82],"between":[57,132],"types":[60],"based":[61],"on":[62],"series":[65,87],"per-pixel":[67],"probabilities.":[70],"We":[71,154],"used":[72],"temporal":[74],"segmentation":[75],"algorithm":[76],"MODTrendr":[77],"identify":[79],"trends":[80],"in":[83],"probability":[85],"that":[88,163],"were":[89,136],"associated":[90],"with":[91,115,138,173],"cover/use":[93,179],"conversions.":[94],"Accuracy":[95],"assessment":[96],"revealed":[97],"good":[98],"performance":[99],"(overall":[103],"accuracy":[104,118,126,144],"92.0%).":[106],"The":[107],"method":[108],"detected":[109,137],"conversions":[110],"forest":[112,171],"grassland":[114,135],"user's":[117,140],"94.0":[120],"\u00b1":[121,129,147,151],"2.0%":[122],"producer's":[125,143],"95.6":[128],"1.6%.":[130],"Conversions":[131],"cropland":[133],"65.8":[146],"4.8%":[148],"72.2":[150],"9.2%,":[152],"respectively.":[153],"here":[155],"present":[156],"first":[159],"combines":[164],"probabilities":[165],"derived":[166],"machine":[168],"learning":[169],"(random":[170],"classification)":[172],"time-series-based":[174],"analysis":[175,181],"(MODTrendr)":[176],"MODIS":[183],"scale.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}