{"id":"https://openalex.org/W2950023940","doi":"https://doi.org/10.3390/rs11121427","title":"Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types","display_name":"Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types","publication_year":2019,"publication_date":"2019-06-15","ids":{"openalex":"https://openalex.org/W2950023940","doi":"https://doi.org/10.3390/rs11121427","mag":"2950023940"},"language":"en","primary_location":{"id":"doi:10.3390/rs11121427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121427","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1427/pdf?version=1560591448","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/12/1427/pdf?version=1560591448","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034919236","display_name":"Nathaniel Robinson","orcid":"https://orcid.org/0000-0002-8055-5270"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nathaniel P. Robinson","raw_affiliation_strings":["Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]},{"raw_affiliation_string":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079764403","display_name":"Matthew Jones","orcid":"https://orcid.org/0000-0001-9262-8345"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew O. Jones","raw_affiliation_strings":["Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]},{"raw_affiliation_string":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028819728","display_name":"\u00c1lvaro Moreno\u2010Mart\u00ednez","orcid":"https://orcid.org/0000-0003-2990-7768"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]},{"id":"https://openalex.org/I2801097182","display_name":"Parc Cient\u00edfic de la Universitat de Val\u00e8ncia","ror":"https://ror.org/04rb60x98","country_code":"ES","type":"education","lineage":["https://openalex.org/I2801097182"]}],"countries":["ES","US"],"is_corresponding":false,"raw_author_name":"Alvaro Moreno","raw_affiliation_strings":["Image Processing Laboratory, Universitat de Val\u00e8ncia, 46980 Paterna, Spain","Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA"],"affiliations":[{"raw_affiliation_string":"Image Processing Laboratory, Universitat de Val\u00e8ncia, 46980 Paterna, Spain","institution_ids":["https://openalex.org/I2801097182"]},{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031184932","display_name":"Tyler Erickson","orcid":"https://orcid.org/0000-0002-3597-1929"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler A. Erickson","raw_affiliation_strings":["Google, Inc., Mountain View, CA 94043, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA 94043, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077888300","display_name":"David E. Naugle","orcid":"https://orcid.org/0000-0001-9286-9878"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David E. Naugle","raw_affiliation_strings":["W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA"],"affiliations":[{"raw_affiliation_string":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025950504","display_name":"Brady Allred","orcid":"https://orcid.org/0000-0002-4017-8327"},"institutions":[{"id":"https://openalex.org/I6750721","display_name":"University of Montana","ror":"https://ror.org/0078xmk34","country_code":"US","type":"education","lineage":["https://openalex.org/I6750721"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brady W. Allred","raw_affiliation_strings":["Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA"],"affiliations":[{"raw_affiliation_string":"Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]},{"raw_affiliation_string":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA","institution_ids":["https://openalex.org/I6750721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5034919236"],"corresponding_institution_ids":["https://openalex.org/I6750721"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.4579,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.92356271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":"12","first_page":"1427","last_page":"1427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13388","display_name":"Rangeland and Wildlife Management","score":0.9998999834060669,"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/T13388","display_name":"Rangeland and Wildlife Management","score":0.9998999834060669,"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/T10005","display_name":"Ecology and Vegetation Dynamics Studies","score":0.9979000091552734,"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"}},{"id":"https://openalex.org/T10555","display_name":"Fire effects on ecosystems","score":0.9959999918937683,"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/rangeland","display_name":"Rangeland","score":0.8602554798126221},{"id":"https://openalex.org/keywords/primary-production","display_name":"Primary production","score":0.7349266409873962},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.6491121649742126},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6144120693206787},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6131619215011597},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.5921372175216675},{"id":"https://openalex.org/keywords/rangeland-management","display_name":"Rangeland management","score":0.5187254548072815},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43108218908309937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3818104863166809},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.3161380887031555},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.2693787217140198},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.22960877418518066},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1964418888092041},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.1323997974395752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08836409449577332}],"concepts":[{"id":"https://openalex.org/C130989795","wikidata":"https://www.wikidata.org/wiki/Q3364870","display_name":"Rangeland","level":2,"score":0.8602554798126221},{"id":"https://openalex.org/C24717449","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary production","level":3,"score":0.7349266409873962},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.6491121649742126},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6144120693206787},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6131619215011597},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.5921372175216675},{"id":"https://openalex.org/C2778951896","wikidata":"https://www.wikidata.org/wiki/Q24965354","display_name":"Rangeland management","level":3,"score":0.5187254548072815},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43108218908309937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3818104863166809},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.3161380887031555},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.2693787217140198},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.22960877418518066},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1964418888092041},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.1323997974395752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08836409449577332},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11121427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121427","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1427/pdf?version=1560591448","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c94e447025454838a620c5a97ea1f4e9","is_oa":true,"landing_page_url":"https://doaj.org/article/c94e447025454838a620c5a97ea1f4e9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 12, p 1427 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/12/1427/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11121427","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 12; Pages: 1427","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11121427","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121427","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1427/pdf?version=1560591448","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/12"},{"display_name":"Life in Land","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950023940.pdf","grobid_xml":"https://content.openalex.org/works/W2950023940.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W119422908","https://openalex.org/W980217207","https://openalex.org/W1480376833","https://openalex.org/W1504349080","https://openalex.org/W1970406586","https://openalex.org/W2019366816","https://openalex.org/W2031596845","https://openalex.org/W2050022960","https://openalex.org/W2055578844","https://openalex.org/W2076158371","https://openalex.org/W2082199675","https://openalex.org/W2089490780","https://openalex.org/W2138102892","https://openalex.org/W2147423506","https://openalex.org/W2154700052","https://openalex.org/W2154922609","https://openalex.org/W2155713535","https://openalex.org/W2163807205","https://openalex.org/W2173913492","https://openalex.org/W2254581607","https://openalex.org/W2320356534","https://openalex.org/W2414259873","https://openalex.org/W2607300121","https://openalex.org/W2725897987","https://openalex.org/W2749555407","https://openalex.org/W2787894218","https://openalex.org/W2792093398","https://openalex.org/W2890915123","https://openalex.org/W2896061862"],"related_works":["https://openalex.org/W3109510391","https://openalex.org/W4319998475","https://openalex.org/W2360856483","https://openalex.org/W3134245329","https://openalex.org/W2605391606","https://openalex.org/W2387954856","https://openalex.org/W4389990568","https://openalex.org/W1891727182","https://openalex.org/W2299631877","https://openalex.org/W2114130687"],"abstract_inverted_index":{"Understanding":[0],"and":[1,10,19,24,32,40,69,78,84,132,180,218],"monitoring":[2,44,110],"the":[3,16,25,29,139,157,163,171,184,192,205,222],"dynamics":[4,217],"of":[5,21,28,53,64,177,194,200,225],"rangeland":[6,22,45,111,202,210],"heterogeneity":[7,100],"through":[8],"time":[9,86],"across":[11,204],"space":[12],"is":[13],"critical":[14],"for":[15,183],"effective":[17],"management":[18,224],"conservation":[20],"systems":[23],"sustained":[26],"supply":[27],"ecosystem":[30],"goods":[31],"services":[33],"they":[34,72],"provide.":[35],"Conventional":[36],"approaches":[37,92],"(both":[38],"field-based":[39],"remote":[41,89],"sensing)":[42],"to":[43,48,80,109,155,162,212,220],"productivity":[46,112,172,211],"fail":[47],"effectively":[49,60],"capture":[50,61],"important":[51,99],"aspects":[52],"this":[54],"heterogeneity.":[55],"While":[56],"field":[57],"methods":[58,196],"can":[59],"high":[62],"levels":[63],"detail":[65],"at":[66,102],"fine":[67,103],"spatial":[68,82],"temporal":[70],"resolutions,":[71],"are":[73],"limited":[74],"in":[75],"their":[76],"applicability":[77],"scalability":[79],"larger":[81],"extents":[83,97],"longer":[85],"periods.":[87],"Alternatively,":[88],"sensing":[90],"based":[91],"that":[93,186],"scale":[94],"broad":[95],"spatiotemporal":[96],"simplify":[98],"occurring":[101],"scales.":[104],"We":[105,190],"address":[106],"these":[107,195],"limitations":[108],"by":[113],"combining":[114],"a":[115,125,144,198],"continuous":[116],"plant":[117],"functional":[118],"type":[119],"(PFT)":[120],"fractional":[121],"cover":[122],"dataset":[123,142,152],"with":[124,143],"Landsat":[126,146],"derived":[127],"gross":[128],"primary":[129,134],"production":[130,135],"(GPP)":[131],"net":[133],"(NPP)":[136],"model.":[137],"Integrating":[138],"annual":[140,181],"PFT":[141],"16-day":[145,178],"normalized":[147],"difference":[148],"vegetation":[149],"(NDVI)":[150],"composite":[151],"enabled":[153],"us":[154],"disaggregate":[156],"pixel":[158],"level":[159],"NDVI":[160],"values":[161,167],"sub-pixel":[164,213],"PFTs.":[165],"These":[166],"were":[168],"incorporated":[169],"into":[170],"algorithm,":[173],"enabling":[174],"refined":[175],"estimations":[176],"GPP":[179],"NPP":[182],"PFTs":[185,214],"composed":[187],"each":[188],"pixel.":[189],"demonstrated":[191],"results":[193],"on":[197],"set":[199],"representative":[201],"sites":[203],"western":[206],"United":[207],"States.":[208],"Partitioning":[209],"revealed":[215],"new":[216],"insights":[219],"aid":[221],"sustainable":[223],"rangelands.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-26T15:22:09.906841","created_date":"2019-06-27T00:00:00"}
