{"id":"https://openalex.org/W4402599032","doi":"https://doi.org/10.3390/rs16183451","title":"Mapping Field-Level Maize Yields in Ethiopian Smallholder Systems Using Sentinel-2 Imagery","display_name":"Mapping Field-Level Maize Yields in Ethiopian Smallholder Systems Using Sentinel-2 Imagery","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4402599032","doi":"https://doi.org/10.3390/rs16183451"},"language":"en","primary_location":{"id":"doi:10.3390/rs16183451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16183451","pdf_url":"https://www.mdpi.com/2072-4292/16/18/3451/pdf?version=1726649058","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/2072-4292/16/18/3451/pdf?version=1726649058","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5097249997","display_name":"Zachary Mondschein","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zachary Mondschein","raw_affiliation_strings":["School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091484220","display_name":"Ambica Paliwal","orcid":"https://orcid.org/0000-0003-3207-5042"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]},{"id":"https://openalex.org/I58422712","display_name":"International Livestock Research Institute","ror":"https://ror.org/01jxjwb74","country_code":"KE","type":"facility","lineage":["https://openalex.org/I1286583668","https://openalex.org/I58422712"]}],"countries":["KE","US"],"is_corresponding":false,"raw_author_name":"Ambica Paliwal","raw_affiliation_strings":["International Livestock Research Institute (ILRI), Nairobi 00100, Kenya","School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"International Livestock Research Institute (ILRI), Nairobi 00100, Kenya","institution_ids":["https://openalex.org/I58422712"]},{"raw_affiliation_string":"School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090178738","display_name":"Tesfaye Shiferaw Sida","orcid":"https://orcid.org/0000-0001-6482-2669"},"institutions":[{"id":"https://openalex.org/I4210121263","display_name":"International Maize and Wheat Improvement Center","ror":"https://ror.org/01yab1r94","country_code":"ET","type":"nonprofit","lineage":["https://openalex.org/I1286583668","https://openalex.org/I21740220","https://openalex.org/I4210121263"]}],"countries":["ET"],"is_corresponding":false,"raw_author_name":"Tesfaye Shiferaw Sida","raw_affiliation_strings":["International Maize and Wheat Improvement Center (CIMMYT), Addis Ababa P.O. Box 5689, Ethiopia"],"affiliations":[{"raw_affiliation_string":"International Maize and Wheat Improvement Center (CIMMYT), Addis Ababa P.O. Box 5689, Ethiopia","institution_ids":["https://openalex.org/I4210121263"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052797767","display_name":"Jordan Chamberlin","orcid":"https://orcid.org/0000-0001-9522-3001"},"institutions":[{"id":"https://openalex.org/I4210153667","display_name":"International Maize and Wheat Improvement Center","ror":"https://ror.org/055w89263","country_code":"KE","type":"nonprofit","lineage":["https://openalex.org/I1286583668","https://openalex.org/I21740220","https://openalex.org/I4210153667"]}],"countries":["KE"],"is_corresponding":false,"raw_author_name":"Jordan Chamberlin","raw_affiliation_strings":["International Maize and Wheat Improvement Center (CIMMYT), Nairobi 00621, Kenya"],"affiliations":[{"raw_affiliation_string":"International Maize and Wheat Improvement Center (CIMMYT), Nairobi 00621, Kenya","institution_ids":["https://openalex.org/I4210153667"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101960227","display_name":"Runzi Wang","orcid":"https://orcid.org/0000-0001-8273-6801"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Runzi Wang","raw_affiliation_strings":["School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076289066","display_name":"Meha Jain","orcid":"https://orcid.org/0000-0002-6821-473X"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Meha Jain","raw_affiliation_strings":["School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA"],"affiliations":[{"raw_affiliation_string":"School for Environment and Sustainability, University of Michigan, Ann Arbor, MI 48109, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5076289066"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8985,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77145494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"16","issue":"18","first_page":"3451","last_page":"3451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9929999709129333,"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/T10439","display_name":"Climate change impacts on agriculture","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1105","display_name":"Ecology, Evolution, Behavior and Systematics"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.6673316955566406},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6248541474342346},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6228373050689697},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6002496480941772},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.5605752468109131},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5143926739692688},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4726770520210266},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4622234106063843},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4502227008342743},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4462262988090515},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4411589801311493},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.42928940057754517},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.4113803505897522},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.3291863799095154},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.32468798756599426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.284709632396698},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2602381706237793},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24917346239089966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20566195249557495},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.19681864976882935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11179262399673462},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11103233695030212}],"concepts":[{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.6673316955566406},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6248541474342346},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6228373050689697},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6002496480941772},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.5605752468109131},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5143926739692688},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4726770520210266},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4622234106063843},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4502227008342743},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4462262988090515},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4411589801311493},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.42928940057754517},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.4113803505897522},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.3291863799095154},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.32468798756599426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.284709632396698},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2602381706237793},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24917346239089966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20566195249557495},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.19681864976882935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11179262399673462},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11103233695030212},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16183451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16183451","pdf_url":"https://www.mdpi.com/2072-4292/16/18/3451/pdf?version=1726649058","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:953e6ad9cde34ec0b29a9cfdce0d0a38","is_oa":true,"landing_page_url":"https://doaj.org/article/953e6ad9cde34ec0b29a9cfdce0d0a38","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 16, Iss 18, p 3451 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16183451","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16183451","pdf_url":"https://www.mdpi.com/2072-4292/16/18/3451/pdf?version=1726649058","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":"Life in Land","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1673391379","display_name":null,"funder_award_id":"80NSSC2","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G6807396067","display_name":null,"funder_award_id":"80NSSC21K","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G7002069392","display_name":null,"funder_award_id":"80NSSC21K1469","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"},{"id":"https://openalex.org/F4320322037","display_name":"Nuclear Safety and Security Commission","ror":"https://ror.org/05qk3ge34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402599032.pdf","grobid_xml":"https://content.openalex.org/works/W4402599032.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W612661449","https://openalex.org/W1925749693","https://openalex.org/W1982627164","https://openalex.org/W1987415163","https://openalex.org/W2005624702","https://openalex.org/W2013414890","https://openalex.org/W2027724118","https://openalex.org/W2029660080","https://openalex.org/W2034085189","https://openalex.org/W2059155959","https://openalex.org/W2077766806","https://openalex.org/W2092722122","https://openalex.org/W2097998348","https://openalex.org/W2101234009","https://openalex.org/W2108806738","https://openalex.org/W2115986334","https://openalex.org/W2128438912","https://openalex.org/W2148333466","https://openalex.org/W2149324144","https://openalex.org/W2158209261","https://openalex.org/W2159292710","https://openalex.org/W2159961845","https://openalex.org/W2192038773","https://openalex.org/W2202019762","https://openalex.org/W2261645655","https://openalex.org/W2321989211","https://openalex.org/W2532003389","https://openalex.org/W2569351272","https://openalex.org/W2588003345","https://openalex.org/W2588316148","https://openalex.org/W2605497931","https://openalex.org/W2612890152","https://openalex.org/W2725897987","https://openalex.org/W2746044348","https://openalex.org/W2751549785","https://openalex.org/W2793603191","https://openalex.org/W2793997912","https://openalex.org/W2911964244","https://openalex.org/W2943472941","https://openalex.org/W2945365803","https://openalex.org/W2949739315","https://openalex.org/W2971456001","https://openalex.org/W2977267463","https://openalex.org/W2997051686","https://openalex.org/W3011178959","https://openalex.org/W3012251295","https://openalex.org/W3012717404","https://openalex.org/W3080397319","https://openalex.org/W3120007553","https://openalex.org/W3125885770","https://openalex.org/W3137820239","https://openalex.org/W3196867394","https://openalex.org/W3197450699","https://openalex.org/W3205788253","https://openalex.org/W3207461972","https://openalex.org/W4210587356","https://openalex.org/W4214832332","https://openalex.org/W4224212602","https://openalex.org/W4324056824","https://openalex.org/W4362576259","https://openalex.org/W4382363604","https://openalex.org/W4383498186","https://openalex.org/W4383823060","https://openalex.org/W6607713294","https://openalex.org/W6658928019","https://openalex.org/W6674385629","https://openalex.org/W6675354045","https://openalex.org/W6736610885"],"related_works":["https://openalex.org/W2397673276","https://openalex.org/W2318437963","https://openalex.org/W2348696601","https://openalex.org/W2394444438","https://openalex.org/W2377355001","https://openalex.org/W2387386748","https://openalex.org/W2377493372","https://openalex.org/W2964624622","https://openalex.org/W2388134306","https://openalex.org/W2021379394"],"abstract_inverted_index":{"Remote":[0],"sensing":[1],"offers":[2],"a":[3],"low-cost":[4],"method":[5],"for":[6,97,129],"estimating":[7],"yields":[8,26,178],"at":[9],"large":[10],"spatio-temporal":[11],"scales.":[12],"Here,":[13],"we":[14],"examined":[15,66],"the":[16,43,114,131,150,170],"ability":[17,171],"of":[18,172],"Sentinel-2":[19,173],"satellite":[20],"imagery":[21,174],"to":[22,60,89,113,121,142,163,175],"map":[23,61,176],"field-level":[24,62,177],"maize":[25],"across":[27],"smallholder":[28,180],"farms":[29],"in":[30,33,84,149,179,186],"two":[31],"regions":[32,143,187],"Oromia":[34],"district,":[35],"Ethiopia.":[36],"We":[37,64,100,152],"evaluated":[38],"how":[39,77],"effectively":[40],"different":[41,49],"indices,":[42],"MTCI,":[44],"GCVI,":[45],"and":[46,48,53,73,76,87,158,192],"NDVI,":[47],"models,":[50],"linear":[51],"regression":[52,105],"random":[54,103],"forest":[55,104],"regression,":[56],"can":[57],"be":[58],"used":[59,96,108],"yields.":[63],"also":[65,153],"if":[67,82],"models":[68,80,106,134],"improved":[69],"by":[70],"adding":[71,156],"weather":[72,159],"soil":[74,157],"data":[75,94,128,160],"generalizable":[78],"our":[79],"were":[81,95,135],"trained":[83],"one":[85],"region":[86],"applied":[88,141],"another":[90],"region,":[91],"where":[92],"no":[93],"model":[98,165],"calibration.":[99],"found":[101,154],"that":[102,107,144,155],"monthly":[109],"MTCI":[110],"composites":[111],"led":[112],"highest":[115],"yield":[116],"prediction":[117],"accuracies":[118,183],"(R2":[119],"up":[120],"0.63),":[122],"particularly":[123],"when":[124,140],"using":[125],"only":[126],"localized":[127],"training":[130],"model.":[132],"These":[133],"not":[136],"very":[137],"generalizable,":[138],"especially":[139],"had":[145],"significant":[146],"haze":[147],"remaining":[148],"imagery.":[151],"did":[161],"little":[162],"improve":[164],"fit.":[166],"Our":[167],"results":[168],"highlight":[169],"systems,":[181],"though":[182],"are":[184],"limited":[185],"with":[188],"high":[189],"cloud":[190],"cover":[191],"haze.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}