{"id":"https://openalex.org/W3199689813","doi":"https://doi.org/10.3390/rs13183643","title":"A Framework for Actual Evapotranspiration Assessment and Projection Based on Meteorological, Vegetation and Hydrological Remote Sensing Products","display_name":"A Framework for Actual Evapotranspiration Assessment and Projection Based on Meteorological, Vegetation and Hydrological Remote Sensing Products","publication_year":2021,"publication_date":"2021-09-12","ids":{"openalex":"https://openalex.org/W3199689813","doi":"https://doi.org/10.3390/rs13183643","mag":"3199689813"},"language":"en","primary_location":{"id":"doi:10.3390/rs13183643","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13183643","pdf_url":"https://www.mdpi.com/2072-4292/13/18/3643/pdf?version=1631697612","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/2072-4292/13/18/3643/pdf?version=1631697612","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003367001","display_name":"Yuan Liu","orcid":"https://orcid.org/0000-0003-4305-6453"},"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":"Yuan Liu","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046209640","display_name":"Qimeng Yue","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":"Qimeng Yue","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039688957","display_name":"Qianyang Wang","orcid":"https://orcid.org/0000-0001-6186-4695"},"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":"Qianyang Wang","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101753832","display_name":"Jingshan Yu","orcid":"https://orcid.org/0000-0003-0415-9265"},"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":true,"raw_author_name":"Jingshan Yu","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088041714","display_name":"Yuexin Zheng","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":"Yuexin Zheng","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052046224","display_name":"Xiaolei Yao","orcid":"https://orcid.org/0000-0001-8186-5097"},"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":"Xiaolei Yao","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046758991","display_name":"Shugao Xu","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":"Shugao Xu","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101753832"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3492,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.79807721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"18","first_page":"3643","last_page":"3643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9983999729156494,"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/evapotranspiration","display_name":"Evapotranspiration","score":0.7937413454055786},{"id":"https://openalex.org/keywords/cru","display_name":"Cru","score":0.6358970403671265},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5415241718292236},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5074781775474548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5074309706687927},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5063332319259644},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.49309679865837097},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.48347383737564087},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4611295759677887},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4305305480957031},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4181167483329773},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3862569332122803},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3250517249107361},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21746504306793213},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.21606695652008057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13976424932479858},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12196823954582214},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09572255611419678}],"concepts":[{"id":"https://openalex.org/C176783924","wikidata":"https://www.wikidata.org/wiki/Q828158","display_name":"Evapotranspiration","level":2,"score":0.7937413454055786},{"id":"https://openalex.org/C160467669","wikidata":"https://www.wikidata.org/wiki/Q505772","display_name":"Cru","level":3,"score":0.6358970403671265},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5415241718292236},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5074781775474548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5074309706687927},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5063332319259644},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.49309679865837097},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.48347383737564087},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4611295759677887},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4305305480957031},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4181167483329773},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3862569332122803},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3250517249107361},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21746504306793213},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.21606695652008057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13976424932479858},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12196823954582214},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09572255611419678},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13183643","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13183643","pdf_url":"https://www.mdpi.com/2072-4292/13/18/3643/pdf?version=1631697612","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:18dcdc39e22c41a0a69077aa306cf8fe","is_oa":true,"landing_page_url":"https://doaj.org/article/18dcdc39e22c41a0a69077aa306cf8fe","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 13, Iss 18, p 3643 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/18/3643/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13183643","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 13; Issue 18; Pages: 3643","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13183643","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13183643","pdf_url":"https://www.mdpi.com/2072-4292/13/18/3643/pdf?version=1631697612","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":[{"display_name":"Clean water and sanitation","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G4515348436","display_name":null,"funder_award_id":"41671018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5638358143","display_name":null,"funder_award_id":"51779007","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/W3199689813.pdf","grobid_xml":"https://content.openalex.org/works/W3199689813.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1518795379","https://openalex.org/W1561614712","https://openalex.org/W1579928783","https://openalex.org/W1700449338","https://openalex.org/W1865927376","https://openalex.org/W1875028359","https://openalex.org/W1923027492","https://openalex.org/W1970261041","https://openalex.org/W1972761989","https://openalex.org/W1980320347","https://openalex.org/W1985727987","https://openalex.org/W1991204159","https://openalex.org/W1992193293","https://openalex.org/W2000204314","https://openalex.org/W2004276278","https://openalex.org/W2004957596","https://openalex.org/W2007818389","https://openalex.org/W2019802908","https://openalex.org/W2035092442","https://openalex.org/W2066836366","https://openalex.org/W2079123570","https://openalex.org/W2079731636","https://openalex.org/W2084356460","https://openalex.org/W2088768972","https://openalex.org/W2090224109","https://openalex.org/W2098787944","https://openalex.org/W2112763914","https://openalex.org/W2115694969","https://openalex.org/W2118395943","https://openalex.org/W2121864785","https://openalex.org/W2123068269","https://openalex.org/W2135673521","https://openalex.org/W2137226992","https://openalex.org/W2139086914","https://openalex.org/W2151401939","https://openalex.org/W2152322545","https://openalex.org/W2152608230","https://openalex.org/W2156665896","https://openalex.org/W2164026151","https://openalex.org/W2172396214","https://openalex.org/W2193503481","https://openalex.org/W2292785959","https://openalex.org/W2789707096","https://openalex.org/W2856698229","https://openalex.org/W2899594306","https://openalex.org/W2903938323","https://openalex.org/W2908213433","https://openalex.org/W2913533289","https://openalex.org/W2916134388","https://openalex.org/W2917765645","https://openalex.org/W2920819147","https://openalex.org/W2924742124","https://openalex.org/W2946178569","https://openalex.org/W2973180910","https://openalex.org/W2991568412","https://openalex.org/W2992354484","https://openalex.org/W2997306346","https://openalex.org/W2998800442","https://openalex.org/W3003393482","https://openalex.org/W3004391332","https://openalex.org/W3007504775","https://openalex.org/W3011744717","https://openalex.org/W3014125413","https://openalex.org/W3022643510","https://openalex.org/W3026223029","https://openalex.org/W3029820727","https://openalex.org/W3038833675","https://openalex.org/W3073054703","https://openalex.org/W3090229769","https://openalex.org/W3098131760","https://openalex.org/W3105081429","https://openalex.org/W3121035897","https://openalex.org/W3122558312","https://openalex.org/W3128906622","https://openalex.org/W3134338169","https://openalex.org/W3138221412","https://openalex.org/W3158393738","https://openalex.org/W3160933189","https://openalex.org/W3177224357","https://openalex.org/W3194876443","https://openalex.org/W4200092933","https://openalex.org/W6610017368","https://openalex.org/W6680532697","https://openalex.org/W6752832962","https://openalex.org/W6773649408","https://openalex.org/W6783741073","https://openalex.org/W6785348854"],"related_works":["https://openalex.org/W2292311437","https://openalex.org/W2520769111","https://openalex.org/W4391774949","https://openalex.org/W2405442275","https://openalex.org/W2795945522","https://openalex.org/W2804208811","https://openalex.org/W4390079340","https://openalex.org/W2332240344","https://openalex.org/W2054134304","https://openalex.org/W2540267871"],"abstract_inverted_index":{"As":[0],"the":[1,7,31,79,97,103,116,130,137,140,148,152,166,169],"most":[2],"direct":[3],"indicator":[4],"of":[5,12,86,99,106,132,151],"drought,":[6],"dynamic":[8],"assessment":[9],"and":[10,35,43,55,69,74,101,109,134,160,174,180,183,206],"prediction":[11,36,142,187],"actual":[13],"evapotranspiration":[14],"(AET)":[15],"is":[16,82,144],"crucial":[17],"to":[18,26,84,129,163],"regional":[19,32,203],"water":[20,207],"resources":[21],"management.":[22],"This":[23],"research":[24],"aims":[25],"develop":[27],"a":[28,91,198],"framework":[29,177],"for":[30,202],"AET":[33,100,112,141],"evaluation":[34],"based":[37],"on":[38,111,136],"multiple":[39,157],"machine":[40],"learning":[41],"methods":[42],"multi-source":[44],"remote":[45],"sensing":[46],"data,":[47],"which":[48],"combines":[49],"Boruta":[50],"algorithm,":[51],"Random":[52],"Forest":[53],"(RF),":[54],"Support":[56],"Vector":[57],"Regression":[58],"(SVR)":[59],"models,":[60],"employing":[61],"datasets":[62],"from":[63],"CRU,":[64],"GLDAS,":[65],"MODIS,":[66],"GRACE":[67],"(-FO),":[68],"CMIP6,":[70],"covering":[71],"meteorological,":[72],"vegetation,":[73],"hydrological":[75],"variables.":[76],"To":[77],"verify":[78],"framework,":[80],"it":[81,196],"applied":[83],"grids":[85],"South":[87],"America":[88],"(SA)":[89],"as":[90],"case.":[92],"The":[93,176],"results":[94,150,170],"meticulously":[95],"demonstrate":[96],"tendency":[98],"identify":[102],"decisive":[104],"role":[105],"T,":[107],"P,":[108],"NDVI":[110],"in":[113,122,126,190],"SA.":[114,127],"Regarding":[115],"projection,":[117],"RF":[118,133],"has":[119],"better":[120],"performance":[121],"different":[123],"input":[124],"strategies":[125],"According":[128],"accuracy":[131],"SVR":[135],"pixel":[138],"scale,":[139],"dataset":[143],"generated":[145,189],"by":[146],"integrating":[147],"optimal":[149,167],"two":[153,161],"models.":[154],"By":[155],"using":[156],"parameter":[158],"inputs":[159],"models":[162],"jointly":[164],"obtain":[165],"output,":[168],"become":[171],"more":[172],"reasonable":[173],"accurate.":[175],"can":[178],"systematically":[179],"comprehensively":[181],"evaluate":[182],"forecast":[184],"AET;":[185],"although":[186],"products":[188],"SA":[191],"cannot":[192],"calibrate":[193],"relevant":[194],"parameters,":[195],"provides":[197],"quite":[199],"valuable":[200],"reference":[201],"drought":[204],"warning":[205],"allocating.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}