Search Results for author: Martin Schwartz

Found 6 papers, 3 papers with code

Open-Canopy: A Country-Scale Benchmark for Canopy Height Estimation at Very High Resolution

1 code implementation12 Jul 2024 Fajwel Fogel, Yohann Perron, Nikola Besic, Laurent Saint-André, Agnès Pellissier-Tanon, Martin Schwartz, Thomas Boudras, Ibrahim Fayad, Alexandre d'Aspremont, Loic Landrieu, Philippe Ciais

Estimating canopy height and canopy height change at meter resolution from satellite imagery has numerous applications, such as monitoring forest health, logging activities, wood resources, and carbon stocks.

Change Detection

Estimating Canopy Height at Scale

1 code implementation3 Jun 2024 Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke

We propose a framework for global-scale canopy height estimation based on satellite data.

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

no code implementations20 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.

3D Reconstruction Retrieval

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