Laurence Hubert-Moy

• PhD
• Professor (Full) at University of Rennes 2

Cette étude présente l’évaluation des images satellitaires Pléiades pour la discrimination des habitats naturels côtiers sur un site Natura 2000 de 22 km2 en Bretagne (France). Un Modèle Numérique de Surface (MNS) a été généré à 0,5 m de résolution spatiale à partir d’images tri-stéréoscopiques acquises en juillet 2021 en utilisant le service de ca...

While wetlands have been extensively studied using optical and radar satellite imagery, thermal imagery has been used less often due its low spatial – temporal resolutions and challenges for emissivity estimation. Since 2018, spaceborne thermal imagery has gained interest due to the availability of ECOSTRESS data, which are acquired at 70 m spatial...

Accurate long-term monitoring of wetlands using satellite archives is crucial for effective conservation. While new methods based on temporal profile classification have been useful for long-term monitoring of wetlands, their advantages over traditional classification methods have not yet been demonstrated. This study aimed to compare continuous ch...

The long-term monitoring of wetland ecosystem functioning is critical because wetlands, which provide multiple services, can be affected by human activities and climate change. The aim of this study was to monitor wetland ecosystem functioning in the long term using the Landsat archive. Four contrasting, Ramsar wetlands were selected in boreal, tem...

La délimitation des zones humides est un enjeu majeur pour la protection de ces écosystèmes. La démarche réglementaire décrite dans la circulaire du 18 janvier 2010 relative à la délimitation des zones humides présente des imprécisions, et son application requiert une expertise phytosociologique. La démarche basée sur l’indice d’Ellenberg, qui perm...

Background and Objectives: While numerous challenges are related to wetlands management, there is an ongoing demand for a robust and comprehensive national map of these ecosystems. In this context, the objectives of this study are to locate, delineate and characterize wetlands across mainland France, with the aim of developing a baseline map layer...

The National Wetlands Mapping Project provides a preliminary delineation of wetland ecosys-tems based on the Ramsar definition and the national legal definition (amended 2008 decree). Recent advancements in Artificial Intelligence algorithms have enabled the use of precise and high-quality environmental variables and archive data on flora and soils...

Abstract Mapping natural habitats remains challenging, especially at a national scale. Although new open‐access variables for vegetation and its environment and increased spatial resolution derived from satellite remote sensing data are available at the global scale, the relevance of these new variables for fine‐grained mapping of natural habitats...

Context Identifying landscape structure and understanding its functions are crucial for biological control. However, the relationship between the crop mosaic phenological heterogeneity and crop phenology at the field scale remains a blind spot. This hinders the understanding of crop dynamics and associated biodiversity. Remote sensing images are co...

Crop monitoring is essential for ensuring food security in a global context of population growth and climate change. Satellite images are commonly used to estimate crop parameters over large areas, and the freely available Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) and optical Sentinel-2 (S-2) images are relevant for that purpose combining hig...

Primarily monitored for its biodiversity and the ecosystem services it provides, the coastal environment is also the focus of major issues for the protection of cultural heritage. From the beginning of the Holocene marine transgression to the present day, these rich but fragile territories have been subject to continuous and extreme events, facing...

Archaeology has been profoundly transformed by the advent of airborne laser scanning (ALS) technology (a.k.a airborne LiDAR). High-resolution and high-precision synoptic views of earth’s topography are now available, even in densely forested environments, to identify and characterize landform patterns resulting from past human occupation. ALS-based...

Grassland habitats provide many ecosystem services but are threatened by agricultural intensification and urbanization. While the lack of accurate and comprehensive inventories at the national scale makes them difficult to manage, advances in spatial modeling using open remote sensing data and open-source software, as well as the increasing use of...

Groundwater has become a major source of irrigation in the past few decades in India, but as it comes from millions of individual borewells owned by smallholders irrigating small fields, it is difficult to quantify the actual irrigated area across seasons and years. This study’s main goal was to monitor seasonal irrigated cropland using multiple op...

Advances in remote sensing (RS) technology in recent years have increased the interest in including RS data into one-class classifiers (OCCs). However, this integration is complex given the interdisciplinary issues involved. In this context, this review highlights the advances and current challenges in integrating RS data into OCCs to map vegetatio...

Until recently, archeological prospection using LiDAR data was based mainly on expert-based and time-consuming visual analyses. Currently, deep learning convolutional neural networks (deep CNN) are showing potential for automatic detection of objects in many fields of application, including cultural heritage. However, these computer-vision based al...

The availability of high spatial resolution synthetic aperture radar (SAR) sensors with a wide range of acquisition modes has increased greatly over the past decade and contributed significantly to the study of wetland ecosystems. However, the relative influence of acquisition configurations (i.e. band frequency, polarization mode, number of acquis...

Mapping plant communities, which is essential to assess the conservation status of natural habitats, is currently based mainly on time-consuming field surveys without the use of satellite data. However, free image time-series with high spatial and temporal resolution have been available since 2015. This study assessed the contribution of Sentinel-2...

Based on experimental results, this chapter describes applications of SAR polarimetry to extract relevant information on agriculture and wetland scenarios by exploiting differences in the polarimetric signature of different scatterers, crop types and their development stage depending on their physical properties. Concerning agriculture, crop type m...

Several studies have shown that adequate bioclimatic information is of major importance for mapping ecological niches or for modelling the distribution ranges of species and communities, particularly from a climate change perspective [1,2]. However, in France, there are few data sources that provide consistent information, available data being prod...

Exposure of the general population to pesticides, especially in agricultural areas, is a major public health concern. This review analyses the role of Land Use and Land Cover (LULC) in Residential Exposure to Agricultural Pesticides (REAP) and how it is measured and modelled. Some epidemiological studies have shown that basic LULC variables, such a...

In the global context of population growth and climate change, monitoring crops is necessary to sustain agriculture and conserve natural resources. While many studies have demonstrated the ability of optical and SAR remotely sensed data to estimate crop parameters, these data have not been compared or combined to predict crop phenological stages. D...

Dans le cadre du projet pilote de démantèlement des deux grands barrages de la Sélune, petit fleuve côtier qui se jette dans la baie du Mont-Saint-Michel, un programme scientifique de suivi à long terme de la renaturation du fleuve a été mis en place, coordonné par INRAE et l'Office français de la biodiversité. Dans cet article, les scientifiques s...

Mapping the fine-grained pattern of vegetation is critical for assessing the functions and conservation status of wetlands. Although satellite time-series images can accurately model vegetation, the spatial resolution of these data is generally too coarse (> 6 m) to capture the fine-grained pattern of wetland vegetation. SPOT-7 satellite sensors ad...

In the past decade, high spatial resolution Synthetic Aperture Radar (SAR) sensors have provided information that contributed significantly to cropland monitoring. However, the specific configurations of SAR sensors (e.g., band frequency, polarization mode) used to identify land-use types remains underexplored. This study investigates the contribut...

Semi-natural grasslands are perennial ecosystems and an important part of agricultural landscapes that are threatened by urbanization and agricultural intensification. However, implementing national grassland conservation policies remains challenging because their inventory, based on short-term observation, rarely discriminate semi-natural permanen...

The decrease of grasslands, which has been observed on a global scale for several decades, occurred with changes in their management in the context of land use intensification. Faced with the environmental and economic implications of these changes, it is necessary to identify and characterize the spatial and temporal dynamics of grasslands, in par...

Decadal time-series derived from satellite observations are useful for discriminating crops and identifying crop succession at national and regional scales. However, use of these data for crop modeling is challenged by the presence of mixed pixels due to the coarse spatial resolution of these data, which influences model accuracy, and the scarcity...

Riparian forests are valuable environments delivering multiples ecological services. Because they face both natural and anthropo-genic constraints, riparian forests need to be accurately mapped in terms of genera/species diversity. Previous studies have shown that the Airborne Laser Scanner (ALS) data have the potential to classify trees in differe...

Nearshore areas around the world contain a wide variety of archeological structures, including prehistoric remains submerged by sea level rise during the Holocene glacial retreat. While natural processes, such as erosion, rising sea level, and exceptional climatic events have always threatened the integrity of this submerged cultural heritage, the...

The Gulf of Morbihan has one of the most important megalithic architectural heritages in the world. Due to their density and exceptional character, these Neolithic monuments, built between the 5th and 3rd millennia BC, are being considered for inscription on UNESCO's World Heritage List. One of the most emblematic site in this region is the islet o...

Monitoring the structural and functional dimensions of natural vegetation is a critical issue to ensure effective management of biodiversity. While coarse-resolution satellite image time-series have been used extensively to monitor vegetation physiognomies, their potential to describe plant species composition remains understudied. The objective of...

Aims (a) Evaluate the potential of Unmanned Aerial Vehicle ( UAV ) technology for very high resolution monitoring vegetation dynamics. (b) Describe and explain the colonization pattern of dewatered alluvial deposits by vegetation during early successional stages at an intra‐annual scale. Location Sélune River, Normandy, France. Methods We assesse...

The restoration of ecological continuity along the Sélune River (Normandy, France) involves the removal of two tall hydroelectric dams (36 m removed in 2019 and 16 m in 2021), a project without precedent in Europe. During the pre‐removal phase (2014–2018), we performed scientific monitoring of the vegetation that was colonizing alluvium in the form...

Although wetlands remain threatened by human pressures and climate change, monitoring and managing them are challenging due to their high spatial and temporal dynamics within a fine-grained pattern. New satellite time-series at high temporal and spatial resolutions provide a promising opportunity to map and monitor wetlands. The objective of this s...

Monitoring forest–agriculture mosaics is crucial for understanding landscape heterogeneity and managing biodiversity. Mapping these mosaics from remotely sensed imagery remains challenging, since ecological gradients from forested to agricultural areas make characterizing vegetation more difficult. The recent synthetic aperture radar (SAR) Sentinel...

Groundwater assists farmers to irrigate crops for fulfilling the crop-water requirement. Indian agriculture system is characterized by three cropping seasons known as Kharif (monsoon), Rabi (post-monsoon) and summer (pre-monsoon). In tropical countries like India, monitoring cropping practices using optical remote sensing during Kharif and Rabi sea...

Riparian zones experience many anthropic pressures and are the subject of European legislation to encourage their monitoring and management, to attenuate these pressures. Assessing the effectiveness of management practices requires producing indicators of ecological functions. Laser Detection and Ranging (LiDAR) data can provide valuable informatio...

Les zones humides sont des milieux qui contribuent fortement au maintien de la biodiversité et de la qualité de l’eau. Elles se sont continuellement dégradées depuis une cinquantaine d’années, principalement sous l’effet de pressions anthropiques, ce qui altère leurs fonctions. Afin de mener des actions de protection et restauration efficaces, il e...

Monitoring grassland plant communities is crucial for understanding and managing biodiversity. Previous studies indicate that mapping these natural habitats from single-date remotely sensed imagery remains challenging because some communities have similar physiognomy. The recently launched Sentinel-2 satellites are a promising opportunity for monit...

Monitoring vegetation cover during winter is a major environmental and scientific issue in agricultural areas. From an environmental viewpoint, the presence and type of vegetation cover in winter influences the transport of pollutants to water resources. From a methodological viewpoint, characterizing spatio-temporal dynamics of land cover and land...

Aims The mapping and monitoring of natural vegetation is a challenging but important objective for environmental management. Although remote sensing has been used to map plant communities for several years, the maps produced are not sufficiently accurate to meet management requirements. This can be explained by the cumulative effects of floristic...

The open access availability of satellite images from new sensors characterized by various spatial and temporal resolutions provides new challenges and possibilities for biodiversity conservation. Methodologies aiming at characterizing vegetation type, phenology, and function can now benefit from metric spatial resolution imagery combined with an i...

Land cover and land use monitoring, particularly during winter season, is still a major environmental challenge. Indeed, the presence of a vegetation cover, the dates of sowing, the length of the catch crops period, and land use types have an impact on pollutant transport to water bodies. The objective of this study was to evaluate the potential of...

Groundwater has rapidly evolved as a primary source for irrigation in Indian agriculture. Over-exploitation of the groundwater substantially depletes the natural water table and has negative impacts on the water resource availability. The overarching goal of the proposed research is to identify the historical evolution of irrigated cropland for the...

Groundwater has rapidly evolved as a primary source for irrigation in 90’s with tremendous impacts on the environment. The overexploitation of groundwater has a substantial impact on the water resource in the form of quality and availability. Estimation of the irrigated area for various cropping seasons is required to evaluate the anthropogenic act...

Airborne LiDAR technology is widely used in archaeology and over the past decade has emerged as an accurate tool to describe anthropomorphic landforms. Archaeological features are traditionally emphasised on a LiDAR-derived Digital Terrain Model (DTM) using multiple Visualisation Techniques (VTs), and occasionally aided by automated feature detecti...

Geosynphytosociology deals with the study of combinations of vegetation series – or geosigmeta – within landscape. Its main advantage is to assess conservation status based on vegetation dynamics. However, this field-based approach has not been widely applied, because local surveys are not representative of spatio-temporal landscape complexity, whi...

Crop detection from remote sensed images is of major interest for land use and land cover mapping. Classification techniques often require multi-temporal images. However, most of these techniques assume that the cultural cycle occurs at the same dates across plots or for a given crop and do not take into account the sensitivity to initial condition...

Using land use and cover change (LUCC) models for the urban growth planning, environmental assessment, and decision-making needs the establishment of an appropriate level of confidence in their performance. The objective of this research is to explore the importance of using multiple assessment techniques in order to fairly evaluate the performance...

Wetland area has decreased in most parts of the world and remains threatened by human pressures. However, wetland loss is difficult to accurately detect, delineate and quantify. While wetland distribution is influenced mainly by landform, LiDAR data provide accurate digital elevation models that can be used to delineate wetlands. Our objective was...

Mapping of vegetation using remote sensing: results of feasibility study on northwest of France The aim of this study is to evaluate the potential of aerial and satellite imagery of high spatial resolution for large scale vegetation mapping on Brittany, Normandy and Pays de la Loire regions. To that end, diff erent types of remote sensing images we...

Context The ability to detect ecological networks in landscapes is of utmost importance for managing biodiversity and planning corridors. Objectives The objective of this study was to evaluate the information provided by a synthetic aperture radar (SAR) image for landscape connectivity modeling compared to aerial photographs (APs). Methods We pre...

Vegetation is essential in urban environments since it provides significant services in terms of health, heat, property value, ecology … As part of the European Union Biodiversity Strategy Plan for 2020, the protection and development of green-infrastructures is strengthened in urban areas. In order to evaluate and monitor the quality of the green...

Detailed forest-cover mapping at a regional scale by supervised classification is technically limited by various factors. This study evaluates the ability of a landscape stratification method to improve classification accuracy. An object-based segmentation technique (OBIA) was performed to delineate radiometrically homogeneous regions into the stud...

In this chapter, agricultural landscapes are defined as ecosystems used by humans for agricultural purposes (crop/livestock productions). Within the framework of climate land use and land cover evolution, which are sometimes responsible of significant impacts on the environment and societies, represent a major challenge for the international commun...

Because of the large increase of urban population in the last decades, the question of sustainable development in urban areas is crucial. In this context, vegetation plays a significant role in urban planning, environmental protecting, and sustainable development policy making, heating and cooling requirements of buildings, displacement of animals...

Wetland functional assessment is commonly conducted based on field observations, and thus, is generally limited to small areas. However, there is often a need for wetland managers to obtain information on wetland functional performance over larger areas. For this purpose, we are proposing a new field-based functional assessment procedure in which w...

We can state that synergistic usage of optical and radar profiles provide the most efficient procedures for classifying the characteristics of agricultural areas and for separating crops. The integrated application of time series of radar and optical images present an effective tool for the management and control of area based direct payments. Meth...

Groundwater is the principal irrigation resource for crops in several parts of the world including India. Excess use of this resource for irrigation has led to widespread depletion and affects crop yields. In order to apply improved water management plans, it is required to identify and monitor the groundwater irrigated crops in order to assess the...

To understand the time evolution of ground water, it is important to be able to distinguish crops for which water demand is high. Numerous methods based on optical remote sensing dedicated to crop identification have been developed. However, their application remains difficult where plots do not exceed a few hectares, with a high heterogeneity in t...

The objective of this research is to explore the combined application of remote sensing and landscape metrics in order to analyze and monitor urban growth in Rennes Metropolitan Area (France). The investigation is based on a 21-year time series data set compiled from Landsat imagery between 1984 and 2005. First, land use and land cover changes were...

Groundwater is one of the main water reservoirs used for irrigation in regions of scarce water resources. For this reason, crop irrigation is expected to have a direct influence on this reservoir. To understand the time evolution of the groundwater table and its storage changes, it is important to delineate irrigated crops, whose evaporative demand...

>>VIDEO slides here http://bit.ly/1gmMUJ3 << Several interdisciplinary perspectives (e.g., landscape agronomy, land system science, ecoagriculture) urge agronomy to contextualize the characterization of agricultural activities within the land management system. This challenges the discipline to scale up the analysis of agricultural dynamics from fa...

>> VIDEO slides HERE http://bit.ly/1gmMUJ3 << Several interdisciplinary perspectives (e.g., landscape agronomy, land system science, ecoagriculture) urge agronomy to contextualize the characterization of agricultural activities within the land management system. This challenges the discipline to scale up the analysis of agricultural dynamics from f...

In the coming three years (2015-2018), two dams will be removed on the Selune River (Baie du Mont Saint Michel, France) in what appear as an unprecedented case of study in Europe for monitoring changes in terms of farming practices, ecological restoration and landscape organization. But to characterize future trajectories, we need to fully understa...

Agricultural intensification has greatly decreased grassland surface area in some regions, thus changing grassland management and modifying environmental and socio-economic systems. Therefore, knowledge about grassland management practices in farming systems is needed for sustainable agriculture. In this context, the PaturMata model simulates grass...

Mapping vegetation formations at a fine scale is crucial for assessing wetland functions and for better landscape management. Identification and characterization of vegetation formations is generally conducted at a fine scale using ecological ground surveys, which are limited to small areas. While optical remotely sensed imagery is limited to cloud...

Denitrification is the main process removing nitrate in river drainage basins and buffer input from agricultural land and limits aquatic ecosystem pollution. However, the identification of denitrification hotspots (for example, riparian zones), their role in a landscape context and the evolution of their overall removal capacity at the drainage bas...

Although wetlands play a key role in controlling flooding and nonpoint source pollution, sequestering carbon and providing an abundance of ecological services, the inventory and characterization of wetland habitats are most often limited to small areas. This explains why the understanding of their ecological functioning is still insufficient for a...

While much emphasis has been placed on the importance of hydrology as a driving force for wetlands, few small stream drainage networks have been mapped. Light Detection and Ranging (LiDAR) data can provide very high-precision topographic maps over large areas, and have been used to extract drainage networks in forested areas, vineyards, and high mo...