no code implementations • 29 Jan 2024 • Fabien H Wagner, Samuel Favrichon, Ricardo Dalagnol, Mayumi CM Hirye, Adugna Mullissa, Sassan Saatchi
Here, we used a U-net deep learning model to map water surfaces in the Rio Negro River basin every 12 days in 2022 and 2023 using 10 m spatial resolution Sentinel-1 satellite radar images.
no code implementations • 2 Jun 2023 • Fabien H Wagner, Sophia Roberts, Alison L Ritz, Griffin Carter, Ricardo Dalagnol, Samuel Favrichon, Mayumi CM Hirye, Martin Brandt, Philipe Ciais, Sassan Saatchi
Tree canopy height is one of the most important indicators of forest biomass, productivity, and species diversity, but it is challenging to measure accurately from the ground and from space.
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 • 17 Nov 2022 • Fabien H Wagner, Ricardo Dalagnol, Celso HL Silva-Junior, Griffin Carter, Alison L Ritz, Mayumi CM Hirye, Jean PHB Ometto, Sassan Saatchi
Here, we map tropical tree cover and deforestation between 2015 and 2022 using 5 m spatial resolution Planet NICFI satellite images over the state of Mato Grosso (MT) in Brazil and a U-net deep learning model.
no code implementations • 18 May 2022 • Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez, Mayumi C. M. Hirye, Samuel Favrichon, Jake H. Lee, Steffen Mauceri, Yan Yang, Sassan Saatchi
The model detects $k$ hard clustering classes represented in the model as $k$ discrete binary masks and their associated $k$ independently generated textures, that combined are a simulation of the original image.