{"id":"https://openalex.org/W2904957358","doi":"https://doi.org/10.3390/rs10122000","title":"High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction","display_name":"High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction","publication_year":2018,"publication_date":"2018-12-10","ids":{"openalex":"https://openalex.org/W2904957358","doi":"https://doi.org/10.3390/rs10122000","mag":"2904957358"},"language":"en","primary_location":{"id":"doi:10.3390/rs10122000","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10122000","pdf_url":"https://www.mdpi.com/2072-4292/10/12/2000/pdf?version=1544947959","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/2072-4292/10/12/2000/pdf?version=1544947959","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038348922","display_name":"Martin Kanning","orcid":null},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Kanning","raw_affiliation_strings":["Institute of Computer Science, Working Group, Remote Sensing and Digital Image Analysis, University of Osnabr\u00fcck, Wachsbleiche 27, D-49090 Osnabr\u00fcck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Working Group, Remote Sensing and Digital Image Analysis, University of Osnabr\u00fcck, Wachsbleiche 27, D-49090 Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000005018","display_name":"Insa K\u00fchling","orcid":"https://orcid.org/0000-0003-2873-2425"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Insa K\u00fchling","raw_affiliation_strings":["Institute of Agricultural and Nutritional Sciences, Department of Agronomy and Organic Farming, Martin Luther University Halle-Wittenberg, D-06120 Halle (Saale), Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Agricultural and Nutritional Sciences, Department of Agronomy and Organic Farming, Martin Luther University Halle-Wittenberg, D-06120 Halle (Saale), Germany","institution_ids":["https://openalex.org/I68956291"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052322753","display_name":"Dieter Trautz","orcid":"https://orcid.org/0009-0005-8359-2172"},"institutions":[{"id":"https://openalex.org/I4210159638","display_name":"Hochschule Osnabr\u00fcck","ror":"https://ror.org/059vymd37","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210159638"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dieter Trautz","raw_affiliation_strings":["Faculty of Agricultural Sciences and Landscape Architecture, Working Group Sustainable Agro-Ecosystems, Osnabr\u00fcck University of Applied Sciences, D-49090 Osnabr\u00fcck, Germany"],"affiliations":[{"raw_affiliation_string":"Faculty of Agricultural Sciences and Landscape Architecture, Working Group Sustainable Agro-Ecosystems, Osnabr\u00fcck University of Applied Sciences, D-49090 Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I4210159638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071580268","display_name":"Thomas Jarmer","orcid":"https://orcid.org/0000-0002-4652-1640"},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Jarmer","raw_affiliation_strings":["Institute of Computer Science, Working Group, Remote Sensing and Digital Image Analysis, University of Osnabr\u00fcck, Wachsbleiche 27, D-49090 Osnabr\u00fcck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Working Group, Remote Sensing and Digital Image Analysis, University of Osnabr\u00fcck, Wachsbleiche 27, D-49090 Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038348922"],"corresponding_institution_ids":["https://openalex.org/I170658231"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":1419,"currency":"EUR","value_usd":1530},"fwci":9.3387,"has_fulltext":false,"cited_by_count":159,"citation_normalized_percentile":{"value":0.98476921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":"12","first_page":"2000","last_page":"2000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","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/T10111","display_name":"Remote Sensing in Agriculture","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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9853000044822693,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8539923429489136},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.6765426397323608},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6069043874740601},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5913252830505371},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.45286130905151367},{"id":"https://openalex.org/keywords/precision-agriculture","display_name":"Precision agriculture","score":0.4278257489204407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3671807646751404},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.21402102708816528},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1091824471950531},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07750692963600159}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8539923429489136},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.6765426397323608},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6069043874740601},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5913252830505371},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.45286130905151367},{"id":"https://openalex.org/C120217122","wikidata":"https://www.wikidata.org/wiki/Q740083","display_name":"Precision agriculture","level":3,"score":0.4278257489204407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3671807646751404},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.21402102708816528},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1091824471950531},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07750692963600159},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"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":5,"locations":[{"id":"doi:10.3390/rs10122000","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10122000","pdf_url":"https://www.mdpi.com/2072-4292/10/12/2000/pdf?version=1544947959","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:c6ff7310e931442abe2cf218ee6687b1","is_oa":true,"landing_page_url":"https://doaj.org/article/c6ff7310e931442abe2cf218ee6687b1","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 10, Iss 12, p 2000 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/12/2000/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10122000","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 10; Issue 12; Pages: 2000","raw_type":"Text"},{"id":"pmh:oai:osnadocs.ub.uni-osnabrueck.de:urn:nbn:de:gbv:700-201904101447","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196911","display_name":"osnaDocs (Osnabr\u00fcck University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170658231","host_organization_name":"Osnabr\u00fcck University","host_organization_lineage":["https://openalex.org/I170658231"],"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":"","raw_type":"doc-type:Article"},{"id":"pmh:oai:repositorium.ub.uni-osnabrueck.de:urn:nbn:de:gbv:700-201904101447","is_oa":true,"landing_page_url":"https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201904101447","pdf_url":null,"source":{"id":"https://openalex.org/S4377196911","display_name":"osnaDocs (Osnabr\u00fcck University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170658231","host_organization_name":"Osnabr\u00fcck University","host_organization_lineage":["https://openalex.org/I170658231"],"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":"","raw_type":"doc-type:article"}],"best_oa_location":{"id":"doi:10.3390/rs10122000","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10122000","pdf_url":"https://www.mdpi.com/2072-4292/10/12/2000/pdf?version=1544947959","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":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904957358.pdf","grobid_xml":"https://content.openalex.org/works/W2904957358.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W51106753","https://openalex.org/W1554230853","https://openalex.org/W1827322724","https://openalex.org/W1848144067","https://openalex.org/W1966123034","https://openalex.org/W1971425631","https://openalex.org/W1978815957","https://openalex.org/W1987097445","https://openalex.org/W2006356750","https://openalex.org/W2008988680","https://openalex.org/W2017859040","https://openalex.org/W2024925469","https://openalex.org/W2026055474","https://openalex.org/W2046404820","https://openalex.org/W2051888483","https://openalex.org/W2070559755","https://openalex.org/W2085624281","https://openalex.org/W2086314176","https://openalex.org/W2097970470","https://openalex.org/W2101108516","https://openalex.org/W2109404357","https://openalex.org/W2114535331","https://openalex.org/W2118178527","https://openalex.org/W2118476033","https://openalex.org/W2125397877","https://openalex.org/W2132299303","https://openalex.org/W2136625467","https://openalex.org/W2158863190","https://openalex.org/W2162557376","https://openalex.org/W2166326933","https://openalex.org/W2184154172","https://openalex.org/W2317866228","https://openalex.org/W2600798029","https://openalex.org/W2744005958","https://openalex.org/W2752500052","https://openalex.org/W2765366036","https://openalex.org/W2766172906","https://openalex.org/W2772481104","https://openalex.org/W2781656202","https://openalex.org/W2789880648","https://openalex.org/W2791947863","https://openalex.org/W2792780379","https://openalex.org/W2843415492","https://openalex.org/W2884438462","https://openalex.org/W3125113274","https://openalex.org/W4245008302","https://openalex.org/W6641562014","https://openalex.org/W6663825396","https://openalex.org/W6686130161","https://openalex.org/W6746609406"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W32300172","https://openalex.org/W1972288805","https://openalex.org/W2115049406","https://openalex.org/W4245858792","https://openalex.org/W3211006270","https://openalex.org/W2059191372"],"abstract_inverted_index":{"The":[0,59,163,188,227],"efficient":[1],"use":[2],"of":[3,78,82,92,138,221,247],"nitrogen":[4,39,116,238],"fertilizer":[5],"is":[6],"a":[7,33,167,198,218,244],"crucial":[8],"problem":[9],"in":[10,61,89,106],"modern":[11],"agriculture.":[12],"Fertilization":[13],"has":[14],"to":[15,18,43,122,196,203,235,256],"be":[16],"minimized":[17],"reduce":[19],"environmental":[20],"impacts":[21],"but":[22],"done":[23],"so":[24],"optimally":[25],"without":[26],"negatively":[27],"affecting":[28],"yield.":[29,258],"In":[30],"June":[31],"2017,":[32],"controlled":[34],"experiment":[35],"with":[36,49,63],"eight":[37],"different":[38,115,237],"treatments":[40],"was":[41,73,225],"applied":[42,248],"winter":[44],"wheat":[45],"plants":[46],"and":[47,70,76,85,101,149,190,233],"investigated":[48],"the":[50,107,114,127,135,153,222,236],"UAV-based":[51],"hyperspectral":[52,80,155,223],"pushbroom":[53],"camera":[54],"Resonon":[55],"Pika-L":[56],"(400\u20131000":[57],"nm).":[58],"system,":[60],"combination":[62],"an":[64,143],"accurate":[65],"inertial":[66],"measurement":[67],"unit":[68],"(IMU)":[69],"precise":[71],"gimbal,":[72],"very":[74],"stable":[75],"capable":[77],"acquiring":[79],"imagery":[81],"high":[83],"spectral":[84,136],"spatial":[86],"quality.":[87],"Additionally,":[88],"situ":[90],"measurements":[91,119],"48":[93],"samples":[94],"(leaf":[95],"area":[96],"index":[97],"(LAI),":[98],"chlorophyll":[99,150],"(CHL),":[100],"reflectance":[102],"spectra)":[103],"were":[104,110,120,193,231],"taken":[105],"field,":[108],"which":[109,240],"equally":[111],"distributed":[112],"across":[113],"treatments.":[117],"These":[118],"used":[121,194],"predict":[123],"grain":[124,205],"yield,":[125],"since":[126],"parameter":[128],"itself":[129],"had":[130],"no":[131],"direct":[132],"effect":[133],"on":[134,147],"reflection":[137],"plants.":[139],"Therefore,":[140],"we":[141],"present":[142],"indirect":[144],"approach":[145],"based":[146],"LAI":[148,189],"estimations":[151],"from":[152],"acquired":[154],"image":[156,224],"data":[157],"using":[158],"partial":[159],"least-squares":[160],"regression":[161,201],"(PLSR).":[162],"resulting":[164,228],"models":[165],"showed":[166],"reliable":[168],"predictability":[169],"for":[170],"these":[171],"parameters":[172],"(R2LAI":[173],"=":[174,178,181,186,208,213],"0.79,":[175],"RMSELAI":[176],"[m2m\u22122]":[177],"0.18,":[179],"R2CHL":[180],"0.77,":[182],"RMSECHL":[183],"[\u00b5g":[184],"cm\u22122]":[185],"7.02).":[187],"CHL":[191],"predictions":[192],"afterwards":[195],"calibrate":[197],"multiple":[199],"linear":[200],"model":[202],"estimate":[204],"yield":[206,229],"(R2yield":[207],"0.88,":[209],"RMSEyield":[210],"[dt":[211],"ha\u22121]":[212],"4.18).":[214],"With":[215],"this":[216],"model,":[217],"pixel-wise":[219],"prediction":[220],"performed.":[226],"estimates":[230],"validated":[232],"opposed":[234],"treatments,":[239],"revealed":[241],"that,":[242],"above":[243],"certain":[245],"amount":[246],"nitrogen,":[249],"further":[250],"fertilization":[251],"does":[252],"not":[253],"necessarily":[254],"lead":[255],"larger":[257]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":30},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}