{"id":"https://openalex.org/W2983195404","doi":"https://doi.org/10.1109/igarss.2019.8900560","title":"Monitoring Maize Lodging Disaster Via Multi-Temporal Remote Sensing Images","display_name":"Monitoring Maize Lodging Disaster Via Multi-Temporal Remote Sensing Images","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983195404","doi":"https://doi.org/10.1109/igarss.2019.8900560","mag":"2983195404"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026697566","display_name":"Xiaohe Gu","orcid":"https://orcid.org/0000-0002-7102-1939"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohe Gu","raw_affiliation_strings":["Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081357598","display_name":"Qian Sun","orcid":"https://orcid.org/0000-0001-6154-5985"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Sun","raw_affiliation_strings":["Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020713851","display_name":"Guijun Yang","orcid":"https://orcid.org/0000-0002-6425-8321"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijun Yang","raw_affiliation_strings":["Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000200794","display_name":"Xiaoyu Song","orcid":"https://orcid.org/0000-0003-0294-5705"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Song","raw_affiliation_strings":["Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070651286","display_name":"Xingang Xu","orcid":"https://orcid.org/0000-0002-8473-5631"},"institutions":[{"id":"https://openalex.org/I4210156423","display_name":"National Engineering Research Center for Information Technology in Agriculture","ror":"https://ror.org/04c3j3t84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210156423"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingang Xu","raw_affiliation_strings":["Beijing Research Center for Information Technology in Agriculture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Research Center for Information Technology in Agriculture, Beijing, China","institution_ids":["https://openalex.org/I4210156423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026697566"],"corresponding_institution_ids":["https://openalex.org/I4210156423"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08188792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"7302","last_page":"7305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9779000282287598,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5985965728759766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831245183944702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35679829120635986},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18038693070411682}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5985965728759766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831245183944702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35679829120635986},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18038693070411682}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900560","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900560","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1998295020","https://openalex.org/W2034366255","https://openalex.org/W2067030253","https://openalex.org/W2318312313","https://openalex.org/W2350113420","https://openalex.org/W2388935623","https://openalex.org/W2473835991","https://openalex.org/W6720278940"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"The":[0,17,28,41,65,86,105],"study":[1,127],"aimed":[2],"to":[3,54,131],"monitor":[4],"maize":[5,33,47,56,100,133],"lodging":[6,25,34,48,57,82,101,134],"in":[7,125],"a":[8],"large":[9,63],"scale":[10],"by":[11,37,69,102],"using":[12],"multi-temporal":[13],"HJ-1B":[14],"CCD":[15],"images.":[16],"variation":[18],"of":[19,32,46,99,108,139],"vegetation":[20,30,94],"indexes":[21],"before":[22],"and":[23,59,81,114,136],"after":[24],"was":[26,35,50,67,84,112,117],"analyzed.":[27],"sensitive":[29],"index":[31,95],"selected":[36],"correlation":[38,78],"analysis":[39],"method.":[40],"remote":[42,103],"sensing":[43],"monitoring":[44],"model":[45,66,123],"disaster":[49,60,109,140],"constructed,":[51],"which":[52],"used":[53,90,130],"map":[55,132],"distribution":[58,138],"grade":[61,110],"at":[62,73],"scale.":[64],"validated":[68],"field":[70],"measured":[71],"samples":[72],"last.":[74],"Results":[75],"showed":[76],"that":[77,121],"between":[79],"\u0394RVI":[80,87],"ratio":[83],"highest.":[85],"can":[88],"be":[89,129],"as":[91],"the":[92,122,126],"best":[93],"for":[96],"quantitative":[97],"inversion":[98],"sensing.":[104],"overall":[106],"accuracy":[107],"classification":[111],"87.5%,":[113],"Kappa":[115],"coefficient":[116],"0.817.":[118],"It":[119],"indicated":[120],"developed":[124],"could":[128],"coverage":[135],"spatial":[137],"grade.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
