Using hypertemporal Sentinel-1 data to predict forest growing stock volume
S. Ge, E. Tomppo, Y. Rauste, R. E. McRoberts, J. Praks, H. Gu, W. Su, O. Antropov
This study uses Sentinel-1 SAR data to predict forest growing stock volume, showing improved accuracy with more images and specific seasonal image combinations.
bioRxiv · Sep 2, 2021 · PreprintEcology