{"id":"https://openalex.org/W2067445243","doi":"https://doi.org/10.1109/igarss.2010.5650537","title":"Development of a cartographic index of forest stand vitality using an ikonos satellite image","display_name":"Development of a cartographic index of forest stand vitality using an ikonos satellite image","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2067445243","doi":"https://doi.org/10.1109/igarss.2010.5650537","mag":"2067445243"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2010.5650537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5650537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","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/A5010628049","display_name":"F.N. Essono","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"F.N. Essono","raw_affiliation_strings":["Facult\u00e9 de Foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d'Edmundston 165, boulevard Hebert, N.-B., E3V 2S8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 de Foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d'Edmundston 165, boulevard Hebert, N.-B., E3V 2S8 Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112573562","display_name":"Lacina Coulibaly","orcid":"https://orcid.org/0000-0002-4780-5733"},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"L. Coulibaly","raw_affiliation_strings":["Facult\u00e9 de Foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d'Edmundston 165, boulevard Hebert, N.-B., E3V 2S8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 de Foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d'Edmundston 165, boulevard Hebert, N.-B., E3V 2S8 Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111878825","display_name":"H. Ad\u00e9gbidi","orcid":null},"institutions":[{"id":"https://openalex.org/I154799132","display_name":"Universit\u00e9 de Moncton","ror":"https://ror.org/029tnqt29","country_code":"CA","type":"education","lineage":["https://openalex.org/I154799132"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"H.G. Adegbidi","raw_affiliation_strings":["Facult\u00e9 de Foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d'Edmundston 165, boulevard Hebert, N.-B., E3V 2S8 Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 de Foresterie, Universit\u00e9 de Moncton, Edmundston, NB, Canada","institution_ids":["https://openalex.org/I154799132"]},{"raw_affiliation_string":"Facult\u00e9 de foresterie, Universit\u00e9 de Moncton, Campus d'Edmundston 165, boulevard Hebert, N.-B., E3V 2S8 Canada","institution_ids":["https://openalex.org/I154799132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076077369","display_name":"Richard Fournier","orcid":"https://orcid.org/0009-0008-0885-3565"},"institutions":[{"id":"https://openalex.org/I135117807","display_name":"Universit\u00e9 de Sherbrooke","ror":"https://ror.org/00kybxq39","country_code":"CA","type":"education","lineage":["https://openalex.org/I135117807"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"R. Fournier","raw_affiliation_strings":["D\u00e9partement de g\u00e9omatique appliqu\u00e9e, Facult\u00e9 des lettres et sciences humaines, Universit\u00e9 de Sherbrook, QUE, Canada","D\u00e9partement de g\u00e9omatique appliqu\u00e9e, Facult\u00e9 des lettres et sciences humaines, Universit\u00e9 de Sherbrooke (Qu\u00e9bec) J1K 2R1, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"D\u00e9partement de g\u00e9omatique appliqu\u00e9e, Facult\u00e9 des lettres et sciences humaines, Universit\u00e9 de Sherbrook, QUE, Canada","institution_ids":["https://openalex.org/I135117807"]},{"raw_affiliation_string":"D\u00e9partement de g\u00e9omatique appliqu\u00e9e, Facult\u00e9 des lettres et sciences humaines, Universit\u00e9 de Sherbrooke (Qu\u00e9bec) J1K 2R1, Canada","institution_ids":["https://openalex.org/I135117807"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13672546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"2103","last_page":"2106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998999834060669,"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":0.9995999932289124,"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":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/vitality","display_name":"Vitality","score":0.7519358992576599},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5376267433166504},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5307013392448425},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5306849479675293},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5272765755653381},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5263075828552246},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.5111773610115051},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.499448299407959},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.4445139169692993},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4387330710887909},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43153226375579834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37359100580215454},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.37098532915115356},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.3418322205543518},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.32299816608428955},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.1940826177597046},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.19396090507507324},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.18223711848258972}],"concepts":[{"id":"https://openalex.org/C2779829227","wikidata":"https://www.wikidata.org/wiki/Q7936872","display_name":"Vitality","level":2,"score":0.7519358992576599},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5376267433166504},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5307013392448425},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5306849479675293},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5272765755653381},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5263075828552246},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.5111773610115051},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.499448299407959},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.4445139169692993},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4387330710887909},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43153226375579834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37359100580215454},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37098532915115356},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.3418322205543518},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.32299816608428955},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.1940826177597046},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.19396090507507324},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.18223711848258972},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2010.5650537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2010.5650537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1796495733","https://openalex.org/W2044465660","https://openalex.org/W2049928531","https://openalex.org/W2061240006","https://openalex.org/W2163803229","https://openalex.org/W6684203154"],"related_works":["https://openalex.org/W2752150657","https://openalex.org/W2968549252","https://openalex.org/W4353001384","https://openalex.org/W2356578566","https://openalex.org/W2358296490","https://openalex.org/W2967804359","https://openalex.org/W4232780495","https://openalex.org/W2949208126","https://openalex.org/W2149267348","https://openalex.org/W1975846084"],"abstract_inverted_index":{"This":[0],"study":[1,42,89,234],"develops":[2],"a":[3,227],"cartographic":[4],"index":[5],"of":[6,25,31,40,44,49,60,87,125,136,153,193,220,232,241,248],"forest":[7,27,154,197,242],"stands":[8,28,155,217,243],"vitality":[9,62,70,127,194,240],"(vigour)":[10],"from":[11,82,109,196],"Ikonos":[12,84,111],"imagery":[13],"data.":[14,134],"Dendrometric":[15],"data":[16,53,199],"(dbh,":[17],"height,":[18],"age)":[19],"were":[20,54,80,96,106,119,139,164,235],"collected":[21],"during":[22],"field":[23],"inventories":[24],"various":[26],"mainly":[29],"composed":[30],"fir,":[32,171,212],"intolerant":[33,172,215],"hardwoods":[34,37,173,176],"and":[35,94,103,117,130,167,174,214,223],"tolerant":[36,175,213],"species":[38,79],"typical":[39],"the":[41,47,68,88,110,145,150,179,191,204,210,230,239,245,249],"area":[43,247],"Gounamitz,":[45],"in":[46],"north-west":[48],"New":[50],"Brunswick.":[51],"These":[52],"used":[55,182],"to":[56,200,237],"compute":[57],"reference":[58,123,189],"estimates":[59,124,152],"stand":[61,126],"for":[63,76,170,187],"each":[64],"sample":[65],"stand,":[66],"using":[67],"Lebel's":[69],"equation.":[71],"Subsequently,":[72],"corrected":[73],"reflectance":[74],"values":[75,192,201],"inventoried":[77],"tree":[78],"extracted":[81,108,131],"an":[83],"satellite":[85],"image":[86],"area,":[90],"after":[91],"fusion,":[92],"segmentation":[93],"classification":[95],"performed.":[97],"Vegetation":[98],"(NDVI,":[99],"MSAVI,":[100],"TSAVI,":[101],"etc.)":[102],"texture":[104],"indices":[105],"also":[107],"image.":[112],"Regression":[113],"models":[114],"(linear,":[115],"polynomial":[116],"logarithmic)":[118],"then":[120],"established":[121],"between":[122],"computed":[128,195],"earlier":[129],"remote":[132],"sensing":[133],"Three":[135],"multiple":[137],"regressions":[138],"tested.":[140],"Obtained":[141],"results":[142,231],"showed":[143],"that":[144],"linear":[146],"regression":[147,180,208],"model":[148,181],"yielded":[149],"best":[151],"vitality.":[156],"Determination":[157],"coefficients":[158],"(r":[159],"<sup":[160],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[162],")":[163],"0.771,":[165],"0.783":[166],"0.776":[168],"respectively":[169],"species.":[177],"Further,":[178],"was":[183],"validated":[184],"by":[185,203],"comparing":[186],"36":[188],"plots,":[190],"inventory":[198],"estimated":[202],"model.":[205],"The":[206],"overall":[207],"on":[209],"studied":[211],"hardwood":[216],"generated":[218],"RMSE,":[219],"0.17,":[221],"0.29":[222],"0.10,":[224],"respectively.":[225],"In":[226],"second":[228],"step,":[229],"this":[233],"generalized":[236],"map":[238],"throughout":[244],"whole":[246],"study.":[250]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}