{"id":"https://openalex.org/W2950511798","doi":"https://doi.org/10.3390/rs11121458","title":"Prediction of High-Quality MODIS-NPP Product Data","display_name":"Prediction of High-Quality MODIS-NPP Product Data","publication_year":2019,"publication_date":"2019-06-20","ids":{"openalex":"https://openalex.org/W2950511798","doi":"https://doi.org/10.3390/rs11121458","mag":"2950511798"},"language":"en","primary_location":{"id":"doi:10.3390/rs11121458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121458","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1458/pdf?version=1561005984","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/2072-4292/11/12/1458/pdf?version=1561005984","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100420215","display_name":"Zhenhua Liu","orcid":"https://orcid.org/0000-0002-5334-2202"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhua Liu","raw_affiliation_strings":["College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085050614","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0001-5025-4584"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076007515","display_name":"Yonghua Qu","orcid":"https://orcid.org/0000-0001-5940-5764"},"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"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghua Qu","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China","School of Geography, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101613267","display_name":"Huiming Liu","orcid":"https://orcid.org/0000-0002-0761-326X"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiming Liu","raw_affiliation_strings":["College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102006772","display_name":"Xiaofang Wu","orcid":"https://orcid.org/0000-0002-3399-2961"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Wu","raw_affiliation_strings":["College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059881086","display_name":"Ya Wen","orcid":"https://orcid.org/0009-0002-5843-8550"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ya Wen","raw_affiliation_strings":["College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China"],"affiliations":[{"raw_affiliation_string":"College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China","institution_ids":["https://openalex.org/I101479585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059881086"],"corresponding_institution_ids":["https://openalex.org/I101479585"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.5199,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.6968457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":"12","first_page":"1458","last_page":"1458"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6998613476753235},{"id":"https://openalex.org/keywords/primary-production","display_name":"Primary production","score":0.6883090734481812},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.6431009769439697},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.526109516620636},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5251126885414124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1892850697040558},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1675281822681427},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.11199042201042175},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07753202319145203}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6998613476753235},{"id":"https://openalex.org/C24717449","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary production","level":3,"score":0.6883090734481812},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.6431009769439697},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.526109516620636},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5251126885414124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1892850697040558},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1675281822681427},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.11199042201042175},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07753202319145203},{"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/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11121458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121458","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1458/pdf?version=1561005984","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:18b8a0fe0e0346e7a48c16106c26146f","is_oa":true,"landing_page_url":"https://doaj.org/article/18b8a0fe0e0346e7a48c16106c26146f","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 11, Iss 12, p 1458 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/12/1458/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11121458","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 11; Issue 12; Pages: 1458","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11121458","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11121458","pdf_url":"https://www.mdpi.com/2072-4292/11/12/1458/pdf?version=1561005984","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/12","display_name":"Responsible consumption and production","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1873891528","display_name":null,"funder_award_id":"41671333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2950511798.pdf","grobid_xml":"https://content.openalex.org/works/W2950511798.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W90880019","https://openalex.org/W1584031569","https://openalex.org/W1968718753","https://openalex.org/W1969947609","https://openalex.org/W2002280144","https://openalex.org/W2007203285","https://openalex.org/W2016435228","https://openalex.org/W2018636632","https://openalex.org/W2034672914","https://openalex.org/W2045464329","https://openalex.org/W2051610466","https://openalex.org/W2057425761","https://openalex.org/W2060931918","https://openalex.org/W2075419856","https://openalex.org/W2079724595","https://openalex.org/W2085906958","https://openalex.org/W2098139398","https://openalex.org/W2117002000","https://openalex.org/W2118102799","https://openalex.org/W2125527601","https://openalex.org/W2131311436","https://openalex.org/W2161336494","https://openalex.org/W2349719274","https://openalex.org/W2362837172","https://openalex.org/W2365203805","https://openalex.org/W2375361242","https://openalex.org/W2378033660","https://openalex.org/W2401693210","https://openalex.org/W2461125507","https://openalex.org/W2491370157","https://openalex.org/W2517494788","https://openalex.org/W2548481085","https://openalex.org/W2577160430","https://openalex.org/W2878575902","https://openalex.org/W2888529949","https://openalex.org/W6713322047","https://openalex.org/W7044145047"],"related_works":["https://openalex.org/W2116416258","https://openalex.org/W2034883032","https://openalex.org/W2403269858","https://openalex.org/W2794366425","https://openalex.org/W2110721186","https://openalex.org/W2040472355","https://openalex.org/W2064580253","https://openalex.org/W3113031366","https://openalex.org/W2056301837","https://openalex.org/W2012656566"],"abstract_inverted_index":{"Net":[0,22],"primary":[1,23],"productivity":[2,24],"(NPP)":[3],"is":[4,43,84,97,123],"a":[5,60,109,166,187,204],"key":[6],"vegetation":[7],"parameter":[8],"and":[9,54,94,140,148,173,192,201],"ecological":[10],"indicator":[11],"for":[12,29,74,207],"tracking":[13],"natural":[14],"environmental":[15],"change.":[16],"High-quality":[17],"Moderate":[18],"Resolution":[19],"Imaging":[20],"Spectroradiometer":[21],"(MODIS-NPP)":[25],"products":[26,41],"are":[27,106],"critical":[28],"assuring":[30],"the":[31,63,82,90,95,100,116,146,153,156,183,214],"scientific":[32],"rigor":[33],"of":[34,155,171,180,190,195,216],"NPP":[35,117,135,141,157,211],"analyses.":[36],"However,":[37],"obtaining":[38],"high-quality":[39,76,210,217],"MODIS-NPP":[40,77,92,139,163,185,219],"consistently":[42],"challenged":[44],"by":[45],"factors":[46],"such":[47],"as":[48,108],"cloud":[49],"contamination,":[50],"heavy":[51],"aerosol":[52],"pollution,":[53],"atmospheric":[55],"variability.":[56],"This":[57,125],"paper":[58],"proposes":[59],"method":[61,198],"combining":[62,145,199],"discrete":[64],"wavelet":[65],"transform":[66],"(DWT)":[67],"with":[68],"an":[69,193],"extended":[70],"Kalman":[71],"filter":[72],"(EKF)":[73],"generating":[75,208],"data.":[78,220],"In":[79],"this":[80],"method,":[81],"DWT":[83,147,200],"used":[85],"to":[86,99,137],"remove":[87],"noise":[88],"in":[89,129,213],"original":[91,138,184,218],"data,":[93],"EKF":[96,202],"applied":[98],"de-noised":[101,104],"images.":[102],"The":[103,162,197],"images":[105],"modeled":[107],"triply":[110],"modulated":[111],"cosine":[112],"function":[113],"that":[114,152],"predicts":[115],"data":[118,136,212],"values":[119],"when":[120],"excessive":[121],"cloudiness":[122],"present.":[124],"study":[126],"was":[127,159],"conducted":[128],"South":[130],"China.":[131],"By":[132],"comparing":[133],"measured":[134],"estimates":[142,158,164],"derived":[143],"from":[144],"EKF,":[149],"we":[150],"found":[151],"accuracy":[154],"significantly":[160],"improved.":[161],"had":[165,186],"mean":[167,176,188],"relative":[168,174],"error":[169,178],"(RE)":[170],"13.96%":[172],"root":[175],"square":[177],"(rRMSE)":[179],"15.67%,":[181],"while":[182],"RE":[189],"23.58%":[191],"rRMSE":[194],"24.98%.":[196],"provides":[203],"feasible":[205],"approach":[206],"new,":[209],"absence":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2019-06-27T00:00:00"}