{"id":"https://openalex.org/W2032866753","doi":"https://doi.org/10.1109/lgrs.2012.2228842","title":"Correlation Between Corn Progress Stages and Fractal Dimension From MODIS-NDVI Time Series","display_name":"Correlation Between Corn Progress Stages and Fractal Dimension From MODIS-NDVI Time Series","publication_year":2013,"publication_date":"2013-01-22","ids":{"openalex":"https://openalex.org/W2032866753","doi":"https://doi.org/10.1109/lgrs.2012.2228842","mag":"2032866753"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2012.2228842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2012.2228842","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5000822601","display_name":"Yonglin Shen","orcid":"https://orcid.org/0000-0001-8190-4615"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Yonglin Shen","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA","Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]},{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012116347","display_name":"Liping Di","orcid":"https://orcid.org/0000-0002-3953-9965"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liping Di","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025989584","display_name":"Genong Yu","orcid":"https://orcid.org/0000-0002-3830-4654"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Genong Yu","raw_affiliation_strings":["Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100305305","display_name":"Wu Lixin","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Wu","raw_affiliation_strings":["Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000822601"],"corresponding_institution_ids":["https://openalex.org/I162714631","https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":2.2043,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86368965,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"5","first_page":"1065","last_page":"1069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9919000267982483,"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":0.989799976348877,"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/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.9298805594444275},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.7002114057540894},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.6109751462936401},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.610575258731842},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.5738705992698669},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5235167145729065},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5171672701835632},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.47283491492271423},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3458753824234009},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3302178382873535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.28108811378479004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26534324884414673},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20318517088890076},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13711285591125488},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.09638774394989014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07972902059555054},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.07245293259620667}],"concepts":[{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.9298805594444275},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.7002114057540894},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.6109751462936401},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.610575258731842},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.5738705992698669},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5235167145729065},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5171672701835632},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.47283491492271423},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3458753824234009},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3302178382873535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28108811378479004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26534324884414673},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20318517088890076},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13711285591125488},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.09638774394989014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07972902059555054},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.07245293259620667},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2012.2228842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2012.2228842","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1974047452","https://openalex.org/W1989890904","https://openalex.org/W1998011325","https://openalex.org/W2027162929","https://openalex.org/W2072093516","https://openalex.org/W2074222846","https://openalex.org/W2124138228","https://openalex.org/W2126727010","https://openalex.org/W2153989276","https://openalex.org/W2158270878","https://openalex.org/W2159540207","https://openalex.org/W2163479244","https://openalex.org/W2399728266","https://openalex.org/W2964631455","https://openalex.org/W3145814904","https://openalex.org/W4238652859"],"related_works":["https://openalex.org/W2394117909","https://openalex.org/W2896054214","https://openalex.org/W2355197944","https://openalex.org/W2017118246","https://openalex.org/W2354661593","https://openalex.org/W2382240109","https://openalex.org/W2368475191","https://openalex.org/W2391311021","https://openalex.org/W2389188284","https://openalex.org/W3183766399"],"abstract_inverted_index":{"In":[0],"this":[1],"letter,":[2],"the":[3,23,37,40,73,85,111,128,146,179,187,194,201],"relationship":[4],"between":[5],"corn":[6,38,65,190,208],"crop":[7,191],"progress":[8,66,130],"stages":[9,35,212],"and":[10,28,33,117,176,210],"fractal":[11,105,147],"dimension":[12,106,148],"derived":[13],"from":[14,193],"remote":[15],"sensing":[16],"data":[17],"has":[18],"been":[19],"revealed.":[20],"Due":[21],"to":[22,63,83,100,109,123,144,206],"effects":[24],"of":[25,36,42,87,114,149,156,178,181,186],"soil":[26],"background":[27],"farming":[29],"practices":[30],"on":[31,168],"emerged":[32,209],"harvested":[34,211],"crop,":[39],"roughness":[41,113],"their":[43],"corresponding":[44],"normalized":[45],"difference":[46],"vegetation":[47],"index":[48],"(NDVI)":[49],"images":[50],"significantly":[51],"changes.":[52],"Therefore,":[53],"image":[54,151],"fractals,":[55],"which":[56],"normally":[57],"indicate":[58],"such":[59],"roughness,":[60],"are":[61,69,183],"proposed":[62,74,202],"detect":[64,124,207],"stages.":[67,131],"There":[68],"four":[70],"steps":[71],"in":[72,152],"procedure:":[75],"1)":[76],"NDVI":[77,115,150,164,173],"maximum":[78],"composite":[79],"process":[80],"is":[81,98,107,121,133,142,160,204],"conducted":[82],"eliminate":[84],"influence":[86],"cloud":[88],"cover":[89],"or":[90],"missing":[91],"data;":[92],"2)":[93],"Cropland":[94],"Data":[95],"Layer":[96],"(CDL)":[97],"used":[99,122],"remove":[101],"noncorn":[102],"pixels;":[103],"3)":[104],"calculated":[108],"estimate":[110,145],"spatial":[112],"image;":[116],"4)":[118],"curve":[119],"fitting":[120],"peaks":[125],"that":[126,136,200],"infer":[127],"certain":[129],"It":[132],"worth":[134],"mentioning":[135],"a":[137],"dimensionality-reduction-based":[138],"differential":[139],"box-counting":[140],"algorithm":[141,159],"developed":[143],"an":[153],"irregular":[154],"region":[155],"interest.":[157],"The":[158],"applicable":[161],"for":[162],"masked":[163],"image.":[165],"Experiments":[166],"based":[167],"Moderate":[169],"Resolution":[170],"Imaging":[171],"Spectroradiometer":[172],"time":[174],"series":[175],"CDL":[177],"State":[180],"Iowa":[182],"conducted.":[184],"Comparison":[185],"results":[188],"with":[189,213],"statistics":[192],"National":[195],"Agricultural":[196],"Statistics":[197],"Service":[198],"indicates":[199],"method":[203],"able":[205],"success.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
