Le LIDAR aéroporté : une technologie révolutionnaire pour cartographier les peuplements forestiers complexes de montagne...
National audience
Discharge estimation under uncertainty using variational methods with application to the full Saint-Venant hydraulic net...
Estimating river discharge from in situ and/or remote sensing data is a key issue for evaluation of water balance at local and global scales and for water management. Variational data assimilation (DA) is a powerful approach used in operational weather and ocean forecasting, which can also be used in this context. A distinctive feature of the river...
Bare soil HYdrological balance model "MHYSAN": calibration and validation using SAR moisture products and continuous the...
The present study highlights the potential of multi-temporal X-band Synthetic Aperture Radar (SAR) moisture products to be used for the calibration of a model reproducing soil moisture (SM) variations. We propose the MHYSAN model (Modèle de bilan HYdrique des Sols Agricoles Nus) for simulating soil water balance of bare soils. This model was used t...
PROSPECT-D: towards modeling leaf optical properties through a complete lifecycle
Leaf pigments provide valuable information about plant physiology. High resolution monitoring of their dynamics will give access to better understanding of processes occurring at different scales, and will be particularly important for ecologists, farmers, and decision makers to assess the influence of climate change on plant functions, and the ada...
Orfeo ToolBox: open source processing of remote sensing images
International audience
Evaluation of the Oh, Dubois and IEM backscatter models using a large dataset of SAR data and experimental soil measurem...
The aim of this paper is to evaluate the most used radar backscattering models (Integral Equation Model "IEM", Oh, Dubois, and Advanced Integral Equation Model "AIEM") using a wide dataset of SAR (Synthetic Aperture Radar) data and experimental soil measurements. These forward models reproduce the radar backscattering coefficients (sigma(0)) from s...
Use of airborne lidar data to improve plant species richness and diversity monitoring in lowland and mountain forests
We explored the potential of airborne laser scanner (ALS) data to improve Bayesian models linking biodiversity indicators of the understory vegetation to environmental factors. Biodiversity was studied at plot level and models were built to investigate species abundance for the most abundant plants found on each study site, and for ecological group...
Application de l’optique aux milieux urbains
La première partie met en lumière de nombreuses applications en milieu urbain avec un premier chapitre sur l’utilisation de la télédétection dans la planification urbaine (étalement urbain, pollution lumineuse, qualité de l’air…). Un second chapitre analyse des scènes urbaines avec un véhicule de cartographie mobile et la reconnaissance d’objets. L...
Coverage of high biomass forests by the ESA BIOMASS mission under defense restrictions
The magnitude of the global terrestrial carbon pool and related fluxes to and from the atmosphere are still poorly known. The European Space Agency P-band radar BIOMASS mission will help to reduce this uncertainty by providing unprecedented information on the distribution of forest above-ground biomass (AGB), particularly in the tropics where the g...
Comparaison de modèles numériques de surface photogrammétriques de différentes résolutions en forêt mixte. Estimation d'...
Renewed interest in photogrammetry and recent developments of unmanned aerial vehicles (UAVs) open newpossibilities in the field of forest planning and management.As the assessment of forest dendrometric parameters is usually a costly task, involving intensive field measurements, wewere interested to evaluate how the use of accurate photogrammetric...
