{"id":"https://openalex.org/W4211134308","doi":"https://doi.org/10.3390/rs14040810","title":"Comparing Methods to Extract Crop Height and Estimate Crop Coefficient from UAV Imagery Using Structure from Motion","display_name":"Comparing Methods to Extract Crop Height and Estimate Crop Coefficient from UAV Imagery Using Structure from Motion","publication_year":2022,"publication_date":"2022-02-09","ids":{"openalex":"https://openalex.org/W4211134308","doi":"https://doi.org/10.3390/rs14040810"},"language":"en","primary_location":{"id":"doi:10.3390/rs14040810","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040810","pdf_url":"https://www.mdpi.com/2072-4292/14/4/810/pdf?version=1644401271","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/2072-4292/14/4/810/pdf?version=1644401271","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026290764","display_name":"Nitzan Malachy","orcid":null},"institutions":[{"id":"https://openalex.org/I376102","display_name":"Agricultural Research Organization","ror":"https://ror.org/05hbrxp80","country_code":"IL","type":"government","lineage":["https://openalex.org/I376102"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nitzan Malachy","raw_affiliation_strings":["Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization\u2014Volcani Institute, HaMaccabim Road 68, Rishon LeZion 75359, Israel"],"affiliations":[{"raw_affiliation_string":"Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization\u2014Volcani Institute, HaMaccabim Road 68, Rishon LeZion 75359, Israel","institution_ids":["https://openalex.org/I376102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000774784","display_name":"Imri Zadak","orcid":null},"institutions":[{"id":"https://openalex.org/I376102","display_name":"Agricultural Research Organization","ror":"https://ror.org/05hbrxp80","country_code":"IL","type":"government","lineage":["https://openalex.org/I376102"]},{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Imri Zadak","raw_affiliation_strings":["Department of Soil and Water Sciences, Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel","Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization\u2014Volcani Institute, HaMaccabim Road 68, Rishon LeZion 75359, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Soil and Water Sciences, Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot 76100, Israel","institution_ids":["https://openalex.org/I197251160"]},{"raw_affiliation_string":"Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization\u2014Volcani Institute, HaMaccabim Road 68, Rishon LeZion 75359, Israel","institution_ids":["https://openalex.org/I376102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064090994","display_name":"Offer Rozenstein","orcid":null},"institutions":[{"id":"https://openalex.org/I376102","display_name":"Agricultural Research Organization","ror":"https://ror.org/05hbrxp80","country_code":"IL","type":"government","lineage":["https://openalex.org/I376102"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Offer Rozenstein","raw_affiliation_strings":["Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization\u2014Volcani Institute, HaMaccabim Road 68, Rishon LeZion 75359, Israel"],"affiliations":[{"raw_affiliation_string":"Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization\u2014Volcani Institute, HaMaccabim Road 68, Rishon LeZion 75359, Israel","institution_ids":["https://openalex.org/I376102"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064090994"],"corresponding_institution_ids":["https://openalex.org/I376102"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.9045,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93428289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"810","last_page":"810"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9993000030517578,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9962000250816345,"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/crop","display_name":"Crop","score":0.6305376291275024},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5360850095748901},{"id":"https://openalex.org/keywords/crop-coefficient","display_name":"Crop coefficient","score":0.49133244156837463},{"id":"https://openalex.org/keywords/coefficient-of-determination","display_name":"Coefficient of determination","score":0.4885483682155609},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4751853048801422},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.45244070887565613},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.43760403990745544},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4311275780200958},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4169076979160309},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.41407954692840576},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.41335296630859375},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4071568548679352},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.28458768129348755},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26334697008132935},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18821978569030762},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.1415899395942688},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.11245700716972351},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07249680161476135}],"concepts":[{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.6305376291275024},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5360850095748901},{"id":"https://openalex.org/C72551326","wikidata":"https://www.wikidata.org/wiki/Q5187947","display_name":"Crop coefficient","level":3,"score":0.49133244156837463},{"id":"https://openalex.org/C128990827","wikidata":"https://www.wikidata.org/wiki/Q192830","display_name":"Coefficient of determination","level":2,"score":0.4885483682155609},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4751853048801422},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.45244070887565613},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.43760403990745544},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4311275780200958},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4169076979160309},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.41407954692840576},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.41335296630859375},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4071568548679352},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.28458768129348755},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26334697008132935},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18821978569030762},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.1415899395942688},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.11245700716972351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07249680161476135},{"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/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/rs14040810","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040810","pdf_url":"https://www.mdpi.com/2072-4292/14/4/810/pdf?version=1644401271","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:74e62118304b4c3593b9f508a518fc8e","is_oa":true,"landing_page_url":"https://doaj.org/article/74e62118304b4c3593b9f508a518fc8e","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 4, p 810 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/4/810/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14040810","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 14; Issue 4; Pages: 810","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14040810","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040810","pdf_url":"https://www.mdpi.com/2072-4292/14/4/810/pdf?version=1644401271","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":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G2982872570","display_name":null,"funder_award_id":"3-14559, 3-15605","funder_id":"https://openalex.org/F4320323706","funder_display_name":"Ministry of Science and Technology, Israel"},{"id":"https://openalex.org/G812489364","display_name":null,"funder_award_id":"3-14559","funder_id":"https://openalex.org/F4320323706","funder_display_name":"Ministry of Science and Technology, Israel"}],"funders":[{"id":"https://openalex.org/F4320323706","display_name":"Ministry of Science and Technology, Israel","ror":"https://ror.org/02heb2n75"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4211134308.pdf","grobid_xml":"https://content.openalex.org/works/W4211134308.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W563406589","https://openalex.org/W1974036734","https://openalex.org/W2000868508","https://openalex.org/W2018170267","https://openalex.org/W2041862770","https://openalex.org/W2050565203","https://openalex.org/W2051292661","https://openalex.org/W2097014338","https://openalex.org/W2565531507","https://openalex.org/W2585236832","https://openalex.org/W2742612991","https://openalex.org/W2768558813","https://openalex.org/W2803704160","https://openalex.org/W2805036018","https://openalex.org/W2903422738","https://openalex.org/W2964683531","https://openalex.org/W2997159717","https://openalex.org/W3138398546","https://openalex.org/W3187794517","https://openalex.org/W3201418962","https://openalex.org/W4245902372"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2380792793","https://openalex.org/W4296826767","https://openalex.org/W4318293902","https://openalex.org/W3011457340","https://openalex.org/W4309314556","https://openalex.org/W3096617511","https://openalex.org/W2793411793"],"abstract_inverted_index":{"Although":[0],"it":[1,22],"is":[2,18,23],"common":[3],"to":[4,25,44,65,75,79,108,154,250,253],"consider":[5],"crop":[6,34,81,89,166,272,277],"height":[7,14,35,60,82,110,157,167,173,273],"in":[8,12,106,120,129,241,271],"agricultural":[9],"management,":[10],"variation":[11],"plant":[13],"within":[15],"the":[16,63,88,182,185,211,245,254,257,276],"field":[17,29],"seldom":[19],"addressed":[20],"because":[21],"challenging":[24],"assess":[26],"from":[27,40,83,117,125,159,169],"discrete":[28],"measurements.":[30,111],"However,":[31],"creating":[32],"spatial":[33,269],"models":[36],"(CHMs)":[37],"using":[38,181],"structure":[39],"motion":[41],"(SfM)":[42],"applied":[43],"unmanned":[45],"aerial":[46],"vehicle":[47],"(UAV)":[48],"imagery":[49,128],"can":[50,265],"easily":[51],"be":[52,251],"done.":[53],"Therefore,":[54],"looking":[55],"into":[56],"intra-":[57],"and":[58,85,100,123,138,150,175,184,197,206,220,229,234,244,274],"inter-season":[59],"variability":[61],"has":[62],"potential":[64],"provide":[66],"regular":[67],"information":[68],"for":[69,95,188,203,226,279],"precision":[70,280],"management.":[71],"This":[72,260],"study":[73,261],"aimed":[74],"test":[76],"different":[77],"approaches":[78],"deriving":[80],"CHM":[84],"subsequently":[86],"estimate":[87,275],"coefficient":[90,278],"(Kc).":[91],"CHMs":[92,170,264],"were":[93,115],"created":[94],"three":[96,190],"crops":[97,191],"(tomato,":[98],"potato,":[99,205,228],"cotton)":[101],"during":[102],"five":[103],"growing":[104],"seasons,":[105],"addition":[107],"manual":[109,172],"The":[112,232],"Kc":[113,137,214],"time-series":[114],"derived":[116],"eddy-covariance":[118],"measurements":[119,174],"commercial":[121],"fields":[122],"estimated":[124],"multispectral":[126],"UAV":[127],"small":[130],"plots,":[131],"based":[132],"on":[133],"known":[134],"relationships":[135],"between":[136,165],"spectral":[139],"vegetation":[140],"indices.":[141],"A":[142],"comparison":[143],"of":[144,213,256],"four":[145],"methods":[146,187,236],"(Mean,":[147],"Sample,":[148],"Median,":[149],"Peak)":[151],"was":[152,163,178,210,248],"performed":[153,164],"derive":[155],"single":[156],"values":[158],"CHMs.":[160],"Linear":[161],"regression":[162],"estimations":[168],"against":[171],"Kc.":[176],"Height":[177],"best":[179],"predicted":[180],"Mean":[183],"Sample":[186],"all":[189],"(R2":[192,215],"=":[193,199,216,222],"0.94,":[194],"0.84,":[195,218],"0.74":[196],"RMSE":[198,221],"0.056,":[200],"0.071,":[201],"0.051":[202],"cotton,":[204,227],"tomato,":[207,230],"respectively),":[208],"as":[209],"prediction":[212],"0.98,":[217],"0.8":[219],"0.026,":[223],"0.049,":[224],"0.023":[225],"respectively).":[231],"Median":[233],"Peak":[235,246],"had":[237],"far":[238],"less":[239],"success":[240],"predicting":[242],"both,":[243],"method":[247],"shown":[249],"sensitive":[252],"size":[255],"area":[258],"analyzed.":[259],"shows":[262],"that":[263],"help":[266],"growers":[267],"identify":[268],"heterogeneity":[270],"irrigation":[281],"applications.":[282]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}