A5067811542- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Urban Heat Island Mitigation
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Leaf Properties and Growth Measurement
- Plant Water Relations and Carbon Dynamics
- Spectroscopy and Chemometric Analyses
- Soil Geostatistics and Mapping
- Infrared Target Detection Methodologies
- Irrigation Practices and Water Management
- Impact of Light on Environment and Health
- Mineral Processing and Grinding
- Soil and Unsaturated Flow
- Advanced Image Fusion Techniques
- Bee Products Chemical Analysis
- Urban Green Space and Health
- Fire effects on ecosystems
- Video Surveillance and Tracking Methods
- Rangeland and Wildlife Management
- Mediterranean and Iberian flora and fauna
- Forest Management and Policy
- Forest ecology and management
Université de Toulouse
2013-2024
Office National d'Études et de Recherches Aérospatiales
2013-2024
Université Paris-Saclay
2024
Institut National des Sciences Appliquées de Toulouse
2021
Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)
2013-2018
University of California, Davis
2015-2018
Laboratoire d'Optique Appliquée
2018
Abstract Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, 2.0 incorporates 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within provides...
In California, water is a perennial concern. As competition for resources increases due to growth in population, California’s tree nut farmers are committed improving the efficiency of used food production. There an imminent need have reliable methods that provide information about temporal and spatial variability crop requirements, which allow make irrigation decisions at field scale. This study focuses on estimating actual evapotranspiration coefficients almond pistachio orchard located...
Leaf pigment contents, such as chlorophylls a and b content (C ) or carotenoid (Car), the leaf area index (LAI) are recognized indicators of plants’ forests’ health status that can be estimated through hyperspectral imagery. Their measurement on seasonal yearly basis is critical to monitor plant response adaptation stress, droughts. While extensively done over dense canopies, estimation these variables tree-grass ecosystems with very low overstory LAI (mean site < 1 m 2 /m ), woodland...
This article presents a novel methodology for the characterization of tree vegetation phenology, based on indices time series reconstruction and adapted to urban areas. The is pixel by curve fitting classification, together with subsequent Savitzky–Golay filtering raw phenological curves from pixels classified as vegetation. Moreover, new method conceived face specificities environments such as: high heterogeneity impervious/natural elements, 3D structure city inducing shadows, restricted...
In California, water is a perennial concern. As competition for resources increases due to growth in population, California&rsquo;s tree nut farmers are committed improving the efficiency of used food production. There an imminent need have reliable methods that provide information about temporal and spatial variability crop requirements, which allow make irrigation decisions at field scale. This study focuses on estimating actual evapotranspiration coefficients almond pistachio orchard...
A dataset was produced for 117 urban trees in four monospecific tree rows the city of Rennes, northwestern France. The were measured nine 2- to 3-day measurement sessions from Apr-Sep 2021. includes (i) leaf traits (
Clay minerals play an important role in shrinking–swelling of soils and off–road vehicle mobility mainly due to the presence smectites including montmorillonites. Since are composed different intimately mixed, accurate estimation its abundance is challenging. Imaging spectroscopy short wave infrared spectral region (SWIR) combined with unmixing methods a good candidate estimate clay mineral abundance. However, performance mineral-dependent may be enhanced by using appropriate preprocessings....
The estimation and mapping of vegetation traits from satellite hyperspectral imagery is entering a new era, as multiple missions have recently started more are currently in preparatory phase. With expected ground sampling distances (GSD) ranging 8 to 30 m, these could complement each other, especially over spatially heterogeneous environments where the canopy cover (CC) low. This study focused on retrieval five (gap fraction, leaf chlorophylls (C ab) carotenoids (Car) contents, equivalent...
Imaging spectroscopy has demonstrated its interest in characterizing the biochemical, biophysical and structural properties of vegetation, natural agricultural soils, as well artificial surfaces. Following Hyperion mission, new space missions have emerged (PRISMA, EnMap), or are under study (CHIME, SBG). However, one their main limitations lies spatial resolution that induces a large number mixed pixels reducing potential for discrimination very heterogeneous areas. The BIODIVERSITY mission...
Gap Fraction, leaf pigment contents (content of chlorophylls a and b (Cab) carotenoids content (Car)), Leaf Mass per Area (LMA), Equivalent Water Thickness (EWT) are considered relevant indicators forests’ health status, influencing many biological physical processes. Various methods exist to estimate these variables, often relying on the extensive use Radiation Transfer Models (RTMs). While 3D RTMs more realistic model open canopies, their complexity leads important computation times that...
Urban trees play an important role in mitigating effects of climate change and provide essential ecosystem services. However, the urban environment can stress trees, requiring use effective monitoring methods to assess their health functionality. The objective this study, which focused on four deciduous tree species Rennes, France, was evaluate ability hybrid inversion models estimate leaf chlorophyll content (LCC), area index (LAI), canopy (CCC) using eight Sentinel-2 (S2) images acquired...
Key leaf functional traits, such as chlorophyll and carotenoids content (Cab Cxc), equivalent water thickness (EWT), mass per area (LMA), are essential to the characterization monitoring of ecosystem function. Spectroscopy provides access these four traits by relying on their specific spectral absorptions over 0.4–2.5 µm domain. In this study, we compare performance three categories estimation methods retrieve from laboratory directional-hemispherical reflectance transmittance measurements:...
Mediterranean forests represent critical areas that are increasingly affected by the frequency of droughts and fires, anthropic activities land use changes. Optical remote sensing data give access to several essential biodiversity variables, such as species traits (related vegetation biophysical biochemical composition), which can help better understand structure functioning these forests. However, their reliability highly depends on scale observation spectral configuration sensor. Thus,...
Durant ces dernières décennies, l'imagerie par télédétection aéroportée des milieux urbains reste un enjeu scientifique majeur. L'arrivée d'une nouvelle génération de caméras aéroportées permettant d'effectuer acquisitions à très haute résolution spatiale et possédant meilleur rapport signal sur bruit ouvre nouvelles perspectives pour extraire l'information environnements. En effet, la principale limitation plupart méthodes traitement images dans est due grande variété matériaux qui les...
With the advancement of high spatial resolution imaging spectroscopy, an accurate surface reflectance retrieval is needed to derive relevant physical variables for land cover mapping, soil, and vegetation monitoring. One challenge deal with tree shadows using atmospheric correction models if crown transmittance Tc not properly taken into account. This requires knowledge complex radiation mechanisms that occur in crowns, which can be provided by coupling modeling canopy radiative transfer...
Material reflectance retrieval from high spatial resolution acquisitions over urban areas requires an accurate modeling of the signal accounting for 3D environment. Especially in tree shadows, solar radiation incident to ground contributing estimation has many origins linked plant structure and its composition. In this paper, atmospheric correction code, ICARE, limited opaque structures like buildings, is improved thanks empirical factor taking into account porosity a crown. The validation...
The CAMCATT-AI4GEO extensive field experiment took place in Toulouse, a city the southwest of France, from 14th to 25th June 2021 (with complementary measurements performed on 6 September 2021). Its main objective was acquisition new reference dataset an urban site support development and validation data products future thermal infrared (TIR) satellite missions such as TRISHNA (CNES/ISRO), LSTM (ESA) SBG (NASA). With their high spatial (between 30-60m) temporal (2-3 days) resolutions, TIR...
This article studies the influence of number satellite remote sensing acquisition dates and their sampling on performance a time series reconstruction method developed in Granero-Belinchon et al. 2020. initially aimed at monitoring urban London plane (Platanus x acerifolia) trees, was tested with Sentinel-2 imagery spatial resolutions 10 20 m temporal revisit 5 days. Due to its higher frequency 2 days while having similar resolution m, Venμs consequently used present fulfill purpose this...
Equivalent water thickness (EWT) and leaf mass per area (LMA) are important indicators of plant processes, such as photosynthetic potential growth rates health status, also variables for fire risk assessment. Retrieving these traits through remote sensing is challenging often requires calibration with in situ measurements to provide acceptable results. However, data cannot be expected available at the operational level when estimating EWT LMA over large regions. In this study, we assessed...