{"id":"https://openalex.org/W2905501806","doi":"https://doi.org/10.3390/rs10121968","title":"Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms","display_name":"Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms","publication_year":2018,"publication_date":"2018-12-06","ids":{"openalex":"https://openalex.org/W2905501806","doi":"https://doi.org/10.3390/rs10121968","mag":"2905501806","pmid":"https://pubmed.ncbi.nlm.nih.gov/30701108"},"language":"en","primary_location":{"id":"doi:10.3390/rs10121968","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10121968","pdf_url":"https://www.mdpi.com/2072-4292/10/12/1968/pdf?version=1544097925","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","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/10/12/1968/pdf?version=1544097925","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046315206","display_name":"Nathaniel Levitan","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nathaniel Levitan","raw_affiliation_strings":["Department of Electrical Engineering, City College of New York, 160 Convent Ave., New York, NY 10031, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City College of New York, 160 Convent Ave., New York, NY 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108440400","display_name":"Barry Gross","orcid":null},"institutions":[{"id":"https://openalex.org/I125687163","display_name":"City College of New York","ror":"https://ror.org/00wmhkr98","country_code":"US","type":"education","lineage":["https://openalex.org/I125687163"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry Gross","raw_affiliation_strings":["Department of Electrical Engineering, City College of New York, 160 Convent Ave., New York, NY 10031, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, City College of New York, 160 Convent Ave., New York, NY 10031, USA","institution_ids":["https://openalex.org/I125687163"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046315206"],"corresponding_institution_ids":["https://openalex.org/I125687163"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9781,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78436431,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":"12","first_page":"1968","last_page":"1968"},"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/T10439","display_name":"Climate change impacts on agriculture","score":0.9909999966621399,"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"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.6923844814300537},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6596550345420837},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6582040786743164},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6249408721923828},{"id":"https://openalex.org/keywords/growing-season","display_name":"Growing season","score":0.5854699015617371},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4937668740749359},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4931339621543884},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.46744000911712646},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.46371889114379883},{"id":"https://openalex.org/keywords/crop","display_name":"Crop","score":0.42892566323280334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41502296924591064},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.379765123128891},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.3420446515083313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2886407971382141},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17598015069961548},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.1654260754585266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09858936071395874},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.0930696427822113},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08496254682540894}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.6923844814300537},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6596550345420837},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6582040786743164},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6249408721923828},{"id":"https://openalex.org/C137660486","wikidata":"https://www.wikidata.org/wiki/Q732240","display_name":"Growing season","level":2,"score":0.5854699015617371},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4937668740749359},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4931339621543884},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.46744000911712646},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.46371889114379883},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.42892566323280334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41502296924591064},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.379765123128891},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.3420446515083313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2886407971382141},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17598015069961548},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.1654260754585266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09858936071395874},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0930696427822113},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08496254682540894},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"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/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs10121968","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10121968","pdf_url":"https://www.mdpi.com/2072-4292/10/12/1968/pdf?version=1544097925","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":"pmid:30701108","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30701108","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote sensing","raw_type":null},{"id":"pmh:oai:academicworks.cuny.edu:cc_pubs-1812","is_oa":true,"landing_page_url":"https://academicworks.cuny.edu/cc_pubs/682","pdf_url":null,"source":{"id":"https://openalex.org/S4377196304","display_name":"CUNY Academic Works (City University of New York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174216632","host_organization_name":"City University of New York","host_organization_lineage":["https://openalex.org/I174216632"],"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":"Publications and Research","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:2c5675954eb84575acdfa75251f207a1","is_oa":true,"landing_page_url":"https://doaj.org/article/2c5675954eb84575acdfa75251f207a1","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 1968 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5329261","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6349260","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10121968","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10121968","pdf_url":"https://www.mdpi.com/2072-4292/10/12/1968/pdf?version=1544097925","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":[{"score":0.7400000095367432,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G2307323804","display_name":null,"funder_award_id":"80NSSC17K0339","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G3063238925","display_name":null,"funder_award_id":"80NSSC17","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"},{"id":"https://openalex.org/F4320334116","display_name":"NASA Headquarters","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2905501806.pdf","grobid_xml":"https://content.openalex.org/works/W2905501806.grobid-xml"},"referenced_works_count":104,"referenced_works":["https://openalex.org/W41139122","https://openalex.org/W275900168","https://openalex.org/W304834817","https://openalex.org/W612661449","https://openalex.org/W630891458","https://openalex.org/W1532378783","https://openalex.org/W1634020409","https://openalex.org/W1689711448","https://openalex.org/W1863273940","https://openalex.org/W1905191619","https://openalex.org/W1974104869","https://openalex.org/W1974635621","https://openalex.org/W1979649479","https://openalex.org/W1986072339","https://openalex.org/W1986964041","https://openalex.org/W1989616998","https://openalex.org/W1990552746","https://openalex.org/W1995332229","https://openalex.org/W1995749451","https://openalex.org/W2004328112","https://openalex.org/W2005624702","https://openalex.org/W2008085934","https://openalex.org/W2015793650","https://openalex.org/W2018494703","https://openalex.org/W2019826292","https://openalex.org/W2025414562","https://openalex.org/W2032665686","https://openalex.org/W2036123899","https://openalex.org/W2041494135","https://openalex.org/W2049556619","https://openalex.org/W2052698857","https://openalex.org/W2055217093","https://openalex.org/W2056976134","https://openalex.org/W2060426168","https://openalex.org/W2064041950","https://openalex.org/W2071110539","https://openalex.org/W2077667851","https://openalex.org/W2078073419","https://openalex.org/W2083442576","https://openalex.org/W2088603520","https://openalex.org/W2089115250","https://openalex.org/W2090151803","https://openalex.org/W2090375103","https://openalex.org/W2093902012","https://openalex.org/W2104519705","https://openalex.org/W2113795803","https://openalex.org/W2116730904","https://openalex.org/W2118182941","https://openalex.org/W2118921617","https://openalex.org/W2121025745","https://openalex.org/W2143395434","https://openalex.org/W2144023308","https://openalex.org/W2145340239","https://openalex.org/W2149088493","https://openalex.org/W2153783191","https://openalex.org/W2158883283","https://openalex.org/W2166312616","https://openalex.org/W2175824084","https://openalex.org/W2196581328","https://openalex.org/W2199031689","https://openalex.org/W2296584369","https://openalex.org/W2313817526","https://openalex.org/W2340078995","https://openalex.org/W2344162956","https://openalex.org/W2346168539","https://openalex.org/W2410109866","https://openalex.org/W2414117070","https://openalex.org/W2418118740","https://openalex.org/W2438450043","https://openalex.org/W2462586880","https://openalex.org/W2474714635","https://openalex.org/W2499691472","https://openalex.org/W2516128226","https://openalex.org/W2517303012","https://openalex.org/W2521677216","https://openalex.org/W2531841959","https://openalex.org/W2532655309","https://openalex.org/W2546396646","https://openalex.org/W2554861503","https://openalex.org/W2571631288","https://openalex.org/W2587466508","https://openalex.org/W2604086375","https://openalex.org/W2605645516","https://openalex.org/W2730238284","https://openalex.org/W2745131289","https://openalex.org/W2762524281","https://openalex.org/W2766906382","https://openalex.org/W2783728140","https://openalex.org/W2791592925","https://openalex.org/W2793935644","https://openalex.org/W2794298623","https://openalex.org/W2796365778","https://openalex.org/W2797016982","https://openalex.org/W2805923877","https://openalex.org/W2809545827","https://openalex.org/W2890565173","https://openalex.org/W2897285410","https://openalex.org/W4253303654","https://openalex.org/W6610843619","https://openalex.org/W6655115902","https://openalex.org/W6665454454","https://openalex.org/W6681399304","https://openalex.org/W6681862266","https://openalex.org/W6715652707"],"related_works":["https://openalex.org/W1968901811","https://openalex.org/W2087241461","https://openalex.org/W1609312116","https://openalex.org/W2016852621","https://openalex.org/W2098219828","https://openalex.org/W2045907675","https://openalex.org/W2360114125","https://openalex.org/W4323031844","https://openalex.org/W2028054326","https://openalex.org/W2023226251"],"abstract_inverted_index":{"Due":[0],"to":[1,15,32,62,115,154,188,206,244,248],"its":[2],"worldwide":[3],"coverage":[4],"and":[5,21,45,68,113,120,140,166,216,218,225,232,273],"high":[6],"revisit":[7],"time,":[8],"satellite-based":[9],"remote":[10],"sensing":[11],"provides":[12],"the":[13,64,92,103,106,160,175,202,260],"ability":[14],"monitor":[16,249],"in-season":[17,65,131,168,250],"crop":[18,41,77,252,264],"state":[19,66,133,169],"variables":[20,67,134,170],"yields":[22,69,119,210],"globally.":[23],"In":[24,184],"this":[25,241],"study,":[26],"we":[27,50,126,199],"presented":[28],"a":[29,98,237,255],"novel":[30],"approach":[31],"training":[33],"agronomic":[34],"satellite":[35,47,89,246,276,281],"retrieval":[36],"algorithms":[37],"by":[38,186,258],"utilizing":[39],"collocated":[40,82,274],"growth":[42,78,253,265],"model":[43,79,266],"simulations":[44,80,267],"solar-reflective":[46],"measurements.":[48],"Specifically,":[49],"showed":[51,127,200],"that":[52,128,201,236],"bidirectional":[53],"long":[54],"short-term":[55],"memory":[56],"networks":[57],"(BLSTMs)":[58],"can":[59,144],"be":[60,145],"trained":[61],"predict":[63,207],"of":[70,105,159,193,240],"Agricultural":[71],"Production":[72],"Systems":[73],"sIMulator":[74],"(APSIM)":[75],"maize":[76,132],"from":[81,152],"Moderate":[83],"Resolution":[84],"Imaging":[85],"Spectroradiometer":[86],"(MODIS)":[87],"500-m":[88],"measurements":[90],"over":[91],"United":[93,190],"States":[94],"Corn":[95],"Belt":[96],"at":[97],"regional":[99,116],"scale.":[100],"We":[101,234],"evaluated":[102,173],"performance":[104],"BLSTMs":[107,203],"through":[108],"both":[109],"k-fold":[110,123,181],"cross":[111,124,182],"validation":[112],"comparison":[114],"scale":[117,257],"ground-truth":[118],"phenology.":[121],"Using":[122],"validation,":[125],"three":[129],"distinct":[130],"(leaf":[135],"area":[136],"index,":[137],"aboveground":[138],"biomass,":[139],"specific":[141],"leaf":[142],"area)":[143],"retrieved":[146],"with":[147,211,227,262,279],"cross-validated":[148],"R<sup>2</sup>":[149,212,228],"values":[150,213,229],"ranging":[151],"0.4":[153],"0.8":[155],"for":[156,177],"significant":[157],"portions":[158],"season.":[161],"Several":[162],"other":[163],"plant,":[164],"soil,":[165],"phenological":[167,221],"were":[171],"also":[172],"in":[174],"study":[176],"their":[178],"retrievability":[179],"via":[180],"validation.":[183],"addition,":[185],"comparing":[187],"survey-based":[189],"State":[191],"Department":[192],"Agriculture":[194],"(USDA)":[195],"ground":[196],"truth":[197],"data,":[198],"are":[204],"able":[205],"actual":[208,219],"county-level":[209],"between":[214,230],"0.45":[215],"0.6":[217],"state-level":[220],"dates":[222],"(emergence,":[223],"silking,":[224],"maturity)":[226],"0.75":[231],"0.85.":[233],"believe":[235],"potential":[238],"application":[239],"methodology":[242,261],"is":[243],"develop":[245],"products":[247],"field-scale":[251,263,270],"on":[254],"global":[256],"reproducing":[259],"(utilizing":[268],"farmer-recorded":[269],"agromanagement":[271],"data)":[272],"high-resolution":[275],"data":[277],"(fused":[278],"moderate-resolution":[280],"data).":[282]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}