About
26
Publications
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369
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Introduction
Current institution
Additional affiliations
July 2023 - March 2024
July 2018 - June 2023
October 2013 - October 2014
L’Institut National de la Recherche Agronomique (INRA)
Position
- Engineer
Description
- Automatic classification of agro-ecological infrastructures (hedgerows, grass strips, etc.) from very high spatial resolution satellite images - Tél-IAE project
Publications
Publications (26)
Using MODIS satellite data, this study examines the presence and causes of albedo trends in vegetation in France during the last decade. Special attention is paid to steady woody areas. During the last decade, 0.31% of the land surface of France has been identified as being affected by a sudden albedo shift due to land cover changes (LCC). Excludin...
The main objective of this study is to detect and quantify changes in the vegetation dynamics of each vegetation type at the global scale over the last 17 years. With recent advances in remote sensing techniques, it is now possible to study the Leaf Area Index (LAI) seasonal and interannual variability at the global scale and in a consistent way ov...
Increasing awareness of the adverse impacts of human-induced environmental change have prompted the need for more sustainable development and proactive planetary restoration. An essential component is to equip stakeholders with timely and reliable data that provide informed understanding of landscape change across varying spatial and temporal scale...
National-level mapping of crop types is important to monitor food security, understand environmental conditions, inform optimal use of the landscape, and contribute to agricultural policy. Countries or economic regions currently and increasingly use satellite sensor data for classifying crops over large areas. However, most methods have been based...
Mapping forest composition is a major concern for forest management, biodiversity assessment and for understanding the potential impacts of climate change on tree species distribution. In this study, the suitability of a dense high spatial resolution multispectral Formosat-2 satellite image time-series (SITS) to discriminate tree species in tempera...
To comprehensively support national and international initiatives for sustainable development, land cover products need to be reliably and routinely generated within operational frameworks. Coupled with consistent semantics and taxonomies, ensuring confidence in mapping land cover for multiple time periods, facilitates informed decision-making at s...
A globally relevant and standardized taxonomy and framework for consistently describing land cover change based on evidence is presented, which makes use of structured land cover taxonomies and is underpinned by the Driver‐Pressure‐State‐Impact‐Response (DPSIR) framework. The Global Change Taxonomy currently lists 246 classes based on the notation...
Accurate spatial information regarding forest types and tree species is immensely important for efficient forest management strategies. In the UK and particularly in Wales, creating a spatial inventory of larch (Larix sps.) plantations that encompasses both the public and private forests has become one of the highest priorities of woodland manageme...
Earth Observation (EO) has been recognised as a key data source for supporting the United Nations Sustainable Development Goals (SDGs). Advances in data availability and analytical capabilities have provided a wide range of users access to global coverage analysis-ready data (ARD). However, ARD does not provide the information required by national...
Sustainable use of mangroves is becoming essential given the dependence of local populations on the resources they provide and the global need to ensure maintenance and preferably enhancement of carbon stocks and biodiversity. Advanced planning of resources is an essential component, but this can be reinforced using time-series of satellite sensor...
Surface albedo in LSA SAF and C3S project
La télédétection spatiale dans le domaine optique fournit de l’information sur l'évolution de la planète et en particulier de sa surface. Le suivi de ces changements est la vocation de différents programmes liés au domaine spatial. Le contexte européen des missions d’observation de la Terre est très riche avec l’arrivée de nombreux nouveaux instrum...
Earth system models (ESMs) are currently the most advanced tools with which to study the interactions among humans, ecosystem productivity, and the climate. The inclusion of storm damage in ESMs has long been hampered by their big-leaf approach, which ignores the canopy structure information that is required for process-based wind-throw modelling....
Les forêts ont un impact sur le climat mais cet effet est incertain, notamment dans les régions soumises à un climat tempéré. En effet, les processus biogéochimiques et biophysiques caractéristiques des forêts tempérées peuvent avoir un effet soit de refroidissement soit de réchauffement du climat. Une première étape dans l'amélioration de l'évalua...
Soil maximum available water content (MaxAWC) is a key parameter in land surface models (LSMs). However, being difficult to measure, this parameter is usually uncertain. This study assesses the feasibility of using a 15-year (1999–2013) time series of satellite-derived low-resolution observations of leaf area index (LAI) to estimate MaxAWC for rain...
Earth System Models (ESMs) are currently the most advanced tools with which to study the interactions between humans, ecosystem productivity and the climate. The inclusion of storm damage in ESMs has long been hampered by their big-leaf approach which ignores the canopy structure information that is required for process-based wind throw modelling....
Soil Maximum Available Water Content (MaxAWC) is a key parameter in Land Surface Models (LSMs). However, being difficult to measure, this parameter is usually unavailable. This study assesses the feasibility of using a fifteen-year (1999–2013) time-series of satellite-derived low resolution observations of Leaf Area Index (LAI) to retrieve MaxAWC f...
Mapping tree species is an important issue for forest ecosystem services and habitat assessment. In this study, the ability of Formosat-2 multispectral image time series to discriminate thirteen tree species of temperate woodland is investigated. The discrimination is performed using several learning classifiers and testing three levels of classifi...
Mapping tree species is an important issue for forest ecosystem services and habitat assessment. In this study, the ability of Formosat-2 multispectral image time series to discriminate thirteen tree species of temperate woodland is investigated. The discrimination is performed using several learning classifiers and testing three levels of classifi...
Detecting hedgerow is discussed in this article. A detection system in two stages is proposed. It is based on using both the spatial information and the spectral information. First, the woody elements are detected using the spectral information only. Then the local orientation of each pixel is computed by using directional filters. Experiment resul...
La détection des haies à partir d'images Pléiades est abordée dans cet article. Un système de détection en deux étapes est
proposé. Il est basé sur l'utilisation conjointe de l'information spatiale et de l'information spectrale. Tout d'abord, les
éléments ligneux sont détectés en utilisant l'information spectrale. Puis, l'orientation locale de chaq...
The automatic detection of hedgerows in very high resolution remote sensing images is addressed in this paper. In particular, the use of advanced morphological filters, such as path operators, is proposed. Conventional path openings have been already proposed in the literature to discriminate between forest objects and hedge objects in very high re...
