{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:22:58Z","timestamp":1740100978519,"version":"3.37.3"},"reference-count":15,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T00:00:00Z","timestamp":1658016000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801221,62001229"],"award-info":[{"award-number":["61801221,62001229"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M681604"],"award-info":[{"award-number":["2020M681604"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,17]]},"DOI":"10.1109\/igarss46834.2022.9883740","type":"proceedings-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T20:12:24Z","timestamp":1664395944000},"page":"5688-5691","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data"],"prefix":"10.1109","author":[{"given":"Shaojia","family":"Ge","sequence":"first","affiliation":[{"name":"Nanjing University of Science and Technology, School of Electronic and Optical Engineering,Department of Electronic Engineering,Nanjing,China,210094"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Gu","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, School of Electronic and Optical Engineering,Department of Electronic Engineering,Nanjing,China,210094"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weimin","family":"Su","sequence":"additional","affiliation":[{"name":"Nanjing University of Science and Technology, School of Electronic and Optical Engineering,Department of Electronic Engineering,Nanjing,China,210094"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaan","family":"Praks","sequence":"additional","affiliation":[{"name":"Aalto University, School of Electrical Engineering,Aalto,Finland,FI-02044"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne","family":"Lonnqvist","sequence":"additional","affiliation":[{"name":"VTT Technical Research Centre of Finland,Finland,FI-02044 VTT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oleg","family":"Antropov","sequence":"additional","affiliation":[{"name":"VTT Technical Research Centre of Finland,Finland,FI-02044 VTT"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111347"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2748341"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs13122392"},{"journal-title":"U-net Convolutional networks for biomedical image segmentation","year":"2015","author":"ronneberger","key":"ref13"},{"journal-title":"ground-based observations for estimation of emissions and removals of greenhouse gases in forests Methods and guidance from the global forest observations initiative","year":"2014","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2296533"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2007.03.032"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.3390\/rs9100999","article-title":"Polarimetric ALOS PALSAR time series in mapping biomass of boreal forests","volume":"9","author":"antropov","year":"2017","journal-title":"Remote Sens"},{"key":"ref6","article-title":"Using hypertemporal sentinel-1 data to predict forest growing stock volume","author":"ge","year":"2021","journal-title":"BioRxiv"},{"key":"ref5","doi-asserted-by":"crossref","DOI":"10.3390\/rs11161944","article-title":"Estimating forest volume and biomass and their changes using random forests and remotely sensed data","volume":"11","author":"esteban","year":"2019","journal-title":"Remote Sens"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3116094"},{"key":"ref7","first-page":"323","author":"schmullius","year":"2015","journal-title":"Radar Time Series for Land Cover and Forest Mapping"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.3390\/rs10101550","article-title":"Estimation of above-ground biomass over boreal forests in siberia using updated in situ, ALOS-2 PALSAR-2, and RADARSAT-2 data","volume":"10","author":"stelmaszczuk-g\u00f3rska","year":"2018","journal-title":"Remote Sens"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2006.09.034"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.010"}],"event":{"name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2022,7,17]]},"location":"Kuala Lumpur, Malaysia","end":{"date-parts":[[2022,7,22]]}},"container-title":["IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9883023\/9883024\/09883740.pdf?arnumber=9883740","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,14]],"date-time":"2022-10-14T21:02:15Z","timestamp":1665781335000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9883740\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,17]]},"references-count":15,"URL":"https:\/\/doi.org\/10.1109\/igarss46834.2022.9883740","relation":{},"subject":[],"published":{"date-parts":[[2022,7,17]]}}}