no code implementations • 22 Apr 2023 • Ibrahim Fayad, Philippe Ciais, Martin Schwartz, Jean-Pierre Wigneron, Nicolas Baghdadi, Aurélien de Truchis, Alexandre d'Aspremont, Frederic Frappart, Sassan Saatchi, Agnes Pellissier-Tanon, Hassan Bazzi
This model achieves better accuracy than previously used convolutional based approaches (ConvNets) optimized with only a continuous loss function.
no code implementations • 20 Dec 2022 • Martin Schwartz, Philippe Ciais, Catherine Ottlé, Aurelien De Truchis, Cedric Vega, Ibrahim Fayad, Martin Brandt, Rasmus Fensholt, Nicolas Baghdadi, François Morneau, David Morin, Dominique Guyon, Sylvia Dayau, Jean-Pierre Wigneron
In intensively managed forests in Europe, where forests are divided into stands of small size and may show heterogeneity within stands, a high spatial resolution (10 - 20 meters) is arguably needed to capture the differences in canopy height.