Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data

Shaojia Ge, Erkki Tomppo, Yrjö Rauste, Weimin Su, Hong Gu, Jaan Praks, Oleg Antropov. Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020. pages 4509-4512, IEEE, 2020. [doi]

@inproceedings{GeTRSGPA20,
  title = {Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data},
  author = {Shaojia Ge and Erkki Tomppo and Yrjö Rauste and Weimin Su and Hong Gu and Jaan Praks and Oleg Antropov},
  year = {2020},
  doi = {10.1109/IGARSS39084.2020.9324212},
  url = {https://doi.org/10.1109/IGARSS39084.2020.9324212},
  researchr = {https://researchr.org/publication/GeTRSGPA20},
  cites = {0},
  citedby = {0},
  pages = {4509-4512},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Waikoloa, HI, USA, September 26 - October 2, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-6374-1},
}