{"id":"https://openalex.org/W2901136668","doi":"https://doi.org/10.1109/igarss.2018.8517806","title":"Estimating Hi-Resolution Soil Moisture Data Using the HP Model Coupled with Landsat-8 and Smap Datasets","display_name":"Estimating Hi-Resolution Soil Moisture Data Using the HP Model Coupled with Landsat-8 and Smap Datasets","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901136668","doi":"https://doi.org/10.1109/igarss.2018.8517806","mag":"2901136668"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8517806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 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/A5016580509","display_name":"Xinyi Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinyi Miao","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China (UESTC) 2006 Xiyuan Avenue, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China (UESTC) 2006 Xiyuan Avenue, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424542","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0003-3366-3137"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["UESTC 2006 Xiyuan Avenue, Center for Information Geoscience, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"UESTC 2006 Xiyuan Avenue, Center for Information Geoscience, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102027447","display_name":"Yuanyuan Yang","orcid":"https://orcid.org/0009-0007-5520-6283"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Yang","raw_affiliation_strings":["UESTC 2006 Xiyuan Avenue, Center for Information Geoscience, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"UESTC 2006 Xiyuan Avenue, Center for Information Geoscience, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112553293","display_name":"Hong Li","orcid":"https://orcid.org/0000-0002-0457-1017"},"institutions":[{"id":"https://openalex.org/I186335123","display_name":"East Carolina University","ror":"https://ror.org/01vx35703","country_code":"US","type":"education","lineage":["https://openalex.org/I186335123"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Li","raw_affiliation_strings":["Department of Information Management Systems, East Carolina University, Greenville, North Carolina, USA"],"affiliations":[{"raw_affiliation_string":"Department of Information Management Systems, East Carolina University, Greenville, North Carolina, USA","institution_ids":["https://openalex.org/I186335123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016580509"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10730888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"9106","last_page":"9109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9998999834060669,"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/T11333","display_name":"Climate change and permafrost","score":0.9968000054359436,"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/T10644","display_name":"Cryospheric studies and observations","score":0.9933000206947327,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.7270276546478271},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.6460806131362915},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6415125131607056},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5691736936569214},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.5106080174446106},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.46881771087646484},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4457316994667053},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.4010070562362671},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23344361782073975},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.20511624217033386}],"concepts":[{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.7270276546478271},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.6460806131362915},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6415125131607056},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5691736936569214},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.5106080174446106},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.46881771087646484},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4457316994667053},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.4010070562362671},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23344361782073975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.20511624217033386},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8517806","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8517806","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2027380942","https://openalex.org/W2069756757","https://openalex.org/W2146149230","https://openalex.org/W2150956979","https://openalex.org/W2155607837","https://openalex.org/W2369480411","https://openalex.org/W2380093988"],"related_works":["https://openalex.org/W2387055199","https://openalex.org/W2313061941","https://openalex.org/W2588661485","https://openalex.org/W1953485902","https://openalex.org/W2052546562","https://openalex.org/W3175896399","https://openalex.org/W1983414154","https://openalex.org/W2540909290","https://openalex.org/W2111586823","https://openalex.org/W2390005173"],"abstract_inverted_index":{"Coupled":[0],"with":[1,55,95],"Landsat-8":[2],"and":[3,8],"SMAP":[4],"brightness":[5],"temperature":[6],"datasets":[7,49,77],"using":[9,34],"the":[10,56,61,64,68,88],"HP":[11],"model,":[12],"an":[13],"algorithm":[14,31],"to":[15,52,90],"estimate":[16],"soil":[17,35,92],"moisture":[18,36,93],"in":[19,67,87],"November":[20],"of":[21,47,75],"2015":[22],"at":[23,39],"Zoige":[24],"alpine":[25],"wetland,":[26],"China":[27],"was":[28,32,78],"developed.":[29],"The":[30,44,71,80],"verified":[33],"data":[37,94],"downloaded":[38],"NASA":[40],"Earthdata":[41],"web":[42],"site.":[43],"spatial":[45,72,97],"patterns":[46],"two":[48],"were":[50],"similarly":[51],"each":[53],"other":[54],"maximum":[57],"value":[58,66],"occurring":[59],"near":[60],"center":[62],"but":[63],"minimum":[65],"eastern":[69],"region.":[70],"correlation":[73],"coefficient":[74],"both":[76],"0.6832.":[79],"preliminary":[81],"findings":[82],"should":[83],"be":[84],"very":[85],"encouraging":[86],"pursuing":[89],"produce":[91],"high":[96],"resolution.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}