{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T14:36:47Z","timestamp":1774535807731,"version":"3.50.1"},"reference-count":16,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2018YFA0605503"],"award-info":[{"award-number":["2018YFA0605503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41671374"],"award-info":[{"award-number":["41671374"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Geosci. Remote Sensing Lett."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/lgrs.2021.3064814","type":"journal-article","created":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T20:10:29Z","timestamp":1616530229000},"page":"1-5","source":"Crossref","is-referenced-by-count":12,"title":["Spatial\u2013Temporal Prediction of Vegetation Index With Deep Recurrent Neural Networks"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2348-5050","authenticated-orcid":false,"given":"Wentao","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9736-5732","authenticated-orcid":false,"given":"Jing","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3713-9511","authenticated-orcid":false,"given":"Qinhuo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7221-3556","authenticated-orcid":false,"given":"Jing","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1257-9449","authenticated-orcid":false,"given":"Yadong","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1193-6862","authenticated-orcid":false,"given":"Cong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7153-2184","authenticated-orcid":false,"given":"Shangrong","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2874-543X","authenticated-orcid":false,"given":"Xinran","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2874-9219","authenticated-orcid":false,"given":"Hu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.agrformet.2010.11.012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2010.01.026"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2013.05.030"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2619984"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-0912-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref7","article-title":"How to construct deep recurrent neural networks","volume-title":"arXiv:1312.6026","author":"Pascanu","year":"2013"},{"key":"ref8","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xingjian"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7040129"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.193"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2733548"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2780843"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2004.03.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.11.023"},{"key":"ref15","first-page":"843","article-title":"Unsupervised learning of video representations using LSTMs","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Srivastava"},{"key":"ref16","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","volume-title":"arXiv:1412.3555","author":"Chung","year":"2014"}],"container-title":["IEEE Geoscience and Remote Sensing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8859\/9651998\/09383790.pdf?arnumber=9383790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:50:29Z","timestamp":1704844229000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9383790\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/lgrs.2021.3064814","relation":{},"ISSN":["1545-598X","1558-0571"],"issn-type":[{"value":"1545-598X","type":"print"},{"value":"1558-0571","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}