{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T23:34:09Z","timestamp":1725579249867},"reference-count":8,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9554371","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:49:09Z","timestamp":1634161749000},"page":"6100-6103","source":"Crossref","is-referenced-by-count":0,"title":["Hindcast of Soil Moisture Using SMAP, Land Surface Model Output Data, and Regression Methods"],"prefix":"10.1109","author":[{"given":"Maciel","family":"Zortea","sequence":"first","affiliation":[]},{"given":"Miguel","family":"Paredes","sequence":"additional","affiliation":[]},{"given":"Leonardo S. A.","family":"Martins","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"NASA\/GSFC\/HSL (2020) GLDAS Noah Land Surface Model L4 3 hourly 0 25×0 25 degree v2 1 Greenbelt Maryland USA Goddard Earth Sciences Data and Information Services Center (GES DISC)","year":"2020","author":"beaudoing","key":"ref4"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1002\/2017GL075619"},{"journal-title":"SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture Version 6","year":"2019","author":"neill","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2872131"},{"journal-title":"MLJ A Julia package for composable machine learning","year":"2020","author":"blaom","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2172\/1577027"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5194\/essd-11-717-2019"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1029\/2018WR022669"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2021,7,11]]},"location":"Brussels, Belgium","end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09554371.pdf?arnumber=9554371","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:45Z","timestamp":1652197605000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9554371\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9554371","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}