Search Results for author: Ibrahim Fayad

Found 4 papers, 1 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

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

Aboveground biomass mapping in French Guiana by combining remote sensing, forest inventories and environmental data

no code implementations14 Oct 2016 Ibrahim Fayad, Nicolas Baghdadi, Stéphane Guitet, Jean-Stéphane Bailly, Bruno Hérault, Valéry Gond, Mahmoud Hajj, Dinh Ho Tong Minh

We also demonstrate that small temporal and spatial mismatches between field data and GLAS footprints are not a problem for regional and global calibrated regression models because field data aim to predict large and deep tendencies in AGB variations from environmental gradients and do not aim to represent high but stochastic and temporally limited variations from forest dynamics.

regression

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