{"id":"https://openalex.org/W2774528232","doi":"https://doi.org/10.1109/igarss.2017.8127151","title":"Estimation of forest disturbance intensity from Landsat data in North Carolina and South Carolina","display_name":"Estimation of forest disturbance intensity from Landsat data in North Carolina and South Carolina","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2774528232","doi":"https://doi.org/10.1109/igarss.2017.8127151","mag":"2774528232"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8127151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-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/A5100624769","display_name":"Xin Tao","orcid":"https://orcid.org/0000-0002-5107-9068"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Tao","raw_affiliation_strings":["Department of Geographical Sciences, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Sciences, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088514864","display_name":"Chengquan Huang","orcid":"https://orcid.org/0000-0003-0055-9798"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chengquan Huang","raw_affiliation_strings":["Department of Geographical Sciences, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Sciences, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009738904","display_name":"Feng Zhao","orcid":"https://orcid.org/0000-0003-4534-933X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Zhao","raw_affiliation_strings":["Department of Geographical Sciences, University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geographical Sciences, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100624769"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12935545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1111","last_page":"1114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/T10555","display_name":"Fire effects on ecosystems","score":0.9976999759674072,"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/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/disturbance","display_name":"Disturbance (geology)","score":0.7658443450927734},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.5828187465667725},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5343223214149475},{"id":"https://openalex.org/keywords/biomass","display_name":"Biomass (ecology)","score":0.527107834815979},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46477845311164856},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.4577462077140808},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.44263485074043274},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.441521555185318},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.39689701795578003},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.36840569972991943},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22245162725448608},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13654717803001404},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.11204296350479126},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.10693782567977905},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10665977001190186}],"concepts":[{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.7658443450927734},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.5828187465667725},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5343223214149475},{"id":"https://openalex.org/C115540264","wikidata":"https://www.wikidata.org/wiki/Q2945560","display_name":"Biomass (ecology)","level":2,"score":0.527107834815979},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46477845311164856},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.4577462077140808},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.44263485074043274},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.441521555185318},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.39689701795578003},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.36840569972991943},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22245162725448608},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13654717803001404},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.11204296350479126},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.10693782567977905},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10665977001190186},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8127151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8127151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1821964282","https://openalex.org/W1979210946","https://openalex.org/W1987746145","https://openalex.org/W2039918439","https://openalex.org/W2135551413","https://openalex.org/W2136363079","https://openalex.org/W2167250466","https://openalex.org/W2502514641","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W2038604956","https://openalex.org/W2296560746","https://openalex.org/W2338222801","https://openalex.org/W2347583731","https://openalex.org/W2106602008","https://openalex.org/W2067832159","https://openalex.org/W4388367125","https://openalex.org/W4234931826","https://openalex.org/W4296365562","https://openalex.org/W2149267348"],"abstract_inverted_index":{"Disturbance":[0],"and":[1,15,86,101,108,138,148],"regrowth":[2],"are":[3,40,82],"vital":[4],"processes":[5],"in":[6,13,45,114,136],"determining":[7],"the":[8,25,31,89,102,109,123,149],"roles":[9],"of":[10,42,88,143],"forest":[11],"ecosystem":[12],"carbon":[14],"biogeochemical":[16],"cycles.":[17],"The":[18,91,141],"vegetation":[19],"change":[20],"tracker":[21],"(VCT)":[22],"algorithm":[23],"derives":[24],"spectral":[26,37,72],"disturbance":[27,38,63,99,145],"magnitude":[28],"based":[29],"on":[30,61],"time":[32,118],"series":[33,119],"observations.":[34],"While":[35],"these":[36],"magnitudes":[39],"indicative":[41],"physical":[43],"changes":[44],"tree":[46],"cover":[47],"or":[48],"biomass,":[49],"their":[50],"quantitative":[51],"relationships":[52],"have":[53],"yet":[54],"to":[55],"be":[56],"established.":[57],"This":[58],"study":[59],"focuses":[60],"estimating":[62],"intensity":[64,100],"measured":[65],"by":[66],"percent":[67],"basal":[68],"area":[69,126,142],"removal":[70],"using":[71],"data.":[73],"Ground":[74],"measurements":[75],"from":[76],"Forest":[77],"Inventory":[78],"Analysis":[79],"(FIA)":[80],"data":[81,104],"used":[83],"for":[84],"training":[85],"validation":[87],"model.":[90],"overall":[92],"R":[93],"<sup":[94,133,156],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[95,134,157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[96,135,158],"between":[97],"predicted":[98],"reference":[103],"is":[105,112,152],"around":[106,130,153],"0.66,":[107],"prediction":[110],"uncertainty":[111],"14%":[113],"North":[115,137],"Carolina.":[116],"A":[117],"analysis":[120],"shows":[121],"that":[122],"stand":[124],"clearing":[125],"remains":[127],"relatively":[128],"stable":[129],"1143":[131],"km":[132,155],"South":[139],"Carolinas.":[140],"partial":[144],"fluctuates":[146],"heavily,":[147],"average":[150],"value":[151],"3287":[154],".":[159]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
