%0 Conference Paper %1 conf/igarss/GeTRSGPA20 %A Ge, Shaojia %A Tomppo, Erkki %A Rauste, Yrjö %A Su, Weimin %A Gu, Hong %A Praks, Jaan %A Antropov, Oleg %B IGARSS %D 2020 %I IEEE %K dblp %P 4509-4512 %T Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data. %U http://dblp.uni-trier.de/db/conf/igarss/igarss2020.html#GeTRSGPA20 %@ 978-1-7281-6374-1

@inproceedings{conf/igarss/GeTRSGPA20, added-at = {2022-12-07T00:00:00.000+0100}, author = {Ge, Shaojia and Tomppo, Erkki and Rauste, Yrjö and Su, Weimin and Gu, Hong and Praks, Jaan and Antropov, Oleg}, biburl = {https://www.bibsonomy.org/bibtex/232abc1e59bd7abbf3c5e2f4bfc81697c/dblp}, booktitle = {IGARSS}, crossref = {conf/igarss/2020}, ee = {https://doi.org/10.1109/IGARSS39084.2020.9324212}, interhash = {5e70507176a03b820d4ea48fe45483e1}, intrahash = {32abc1e59bd7abbf3c5e2f4bfc81697c}, isbn = {978-1-7281-6374-1}, keywords = {dblp}, pages = {4509-4512}, publisher = {IEEE}, timestamp = {2024-04-10T01:08:35.000+0200}, title = {Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data.}, url = {http://dblp.uni-trier.de/db/conf/igarss/igarss2020.html#GeTRSGPA20}, year = 2020 }