Thomas Di Martino, Régis Guinvarc'h, Laetitia Thirion-Lefevre, Elise Colin. Towards the Understanding of the C-Band Temporal Signature of Boreal Forest Through Physiology Parameters Retrieval from Sentinel-1 Time Series and Machine Learning. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023. pages 5551-5554, IEEE, 2023. [doi]
@inproceedings{MartinoGTC23-0,
title = {Towards the Understanding of the C-Band Temporal Signature of Boreal Forest Through Physiology Parameters Retrieval from Sentinel-1 Time Series and Machine Learning},
author = {Thomas Di Martino and Régis Guinvarc'h and Laetitia Thirion-Lefevre and Elise Colin},
year = {2023},
doi = {10.1109/IGARSS52108.2023.10282866},
url = {https://doi.org/10.1109/IGARSS52108.2023.10282866},
researchr = {https://researchr.org/publication/MartinoGTC23-0},
cites = {0},
citedby = {0},
pages = {5551-5554},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023, Pasadena, CA, USA, July 16-21, 2023},
publisher = {IEEE},
isbn = {979-8-3503-2010-7},
}