Benoit Laignel's research while affiliated with Université de Caen Normandie and other places

... We illustrate our proposed workflow toward the development of a hydrodynamic model of the WLAD system in coastal Louisiana (Figure 1). The WLAD system is a frequently modeled landscape (e.g., Christensen et al., 2020;Hiatt & Passalacqua, 2017;Liang et al., 2015;Olliver & Edmonds, 2021;Shafiei et al., 2021;Xing et al., 2017) and exemplifies many of the complex morphological features our method is designed to tackle: channel widths that span a range of scales  10 1 − 10 3 , dendritic and loopy network structures, substantial amounts of channel-wetland connectivity (Hiatt & Passalacqua, 2015), and leveed or otherwise hydrologically inactive regions adjacent to important flow conduits. While every riverine landscape is ultimately different with unique challenges for designing a model, we think the WLAD application provides a good general example in which to test our methodology. ...

... It has been widely used in land, water conservancy, aerospace, mapping, transportation, meteorology, etc. It has been commonly used in land, water, space, mapping, transportation, meteorology, etc. Artificial intelligence (AI) technology has been integrated into various fields of socioeconomic development, and AI technology makes it possible to automatically identify and capture implicit, disordered, and many data features [2]. As a significant branch of artificial neural network algorithm, Self-organizing Feature Mapping (SOFM) neural network is selforganizing clustering of the target dataset with its internal mutual learning and competition mechanism. ...

... Both land use strategies can also provide interesting effects on biodiversity and ecosystem services (Posthumus et al., 2015) and/or can improve soil resilience and promote sustainable agriculture (Lal, 2014). Public policies leading to the implementation of erosion control measures can be economically viable and efficient (Patault et al., 2020). Even if some simplified cultural techniques may imply negative returns for farmers, they may be eligible for agri-environment payments 370 (Posthumus et al., 2015). ...

... Intertidal topography is likely to benefit from the SWOT mission, to be launched end 2022, the first altimeter to estimate elevation in two swaths owing to the nearnadir SAR interferometry technique (Biancamaria et al. 2016). A recent study analyzes the potential of this technique for generating DEM of intertidal flats based on simulation (Salameh et al. 2021). ...

... Remote sensing and/or discussions with stakeholders or landowners could also help to obtain temporal-spatial evolutions of these crucial model input parameters, thus allowing to predict more reliable estimates of soil erosion and sediment yield during the conventional tillage period. In addition, the comparison of WaTEM/SEDEM outputs with those of other spatiallydistributed soil erosion models, such as the expert-based WaterSed model (Patault et al., 2020), could be explored. Importantly, this soil erosion model will include a 137 Cs module in the near future, allowing to reconstruct the 137 Cs spatial distribution in a retro-modelling exercise. ...

... On the one hand, the loose accumulation of loess is more prone to natural disasters, such as slope instability, landslide, collapse, and debris flow while under the influence of natural factors and human activities [5,6]. Moreover, loess is vulnerable to erosion [7], and the formation of a large number of gullies provides a prerequisite for the occurrence of secondary disasters [8][9][10][11]. In addition, due to the loess's unique structure, the loess area's geological environment is extremely fragile; thus, engineering problems such as foundation settlement and tunnel collapse are often encountered [12][13][14]. Therefore, it is vital to improve the properties of loess so that it can better meet engineering requirements. ...

... Both land use strategies can also provide interesting effects on biodiversity and ecosystem services (Posthumus et al., 2015) and/or can improve soil resilience and promote sustainable agriculture (Lal, 2014). Public policies leading to the implementation of erosion control measures can be economically viable and efficient (Patault et al., 2021b). Even if some simplified cultural techniques may imply negative returns for farmers, they may be eligible for agri-environment payments (Posthumus et al., 2015). ...

... CNNs have already been successfully applied to predict the water level and water quality indicators in the Nakdong river basin (Baek et al. 2020), to predict the daily rainfall-runoff at two monitoring stations in Chau Doc and Can Tho ( Van et al. 2020), for flood forecast in the Xixian basin (Chen et al. 2021), and to reproduce beach morphology from coastal video monitoring systems in France (Soloy et al. 2021). However, applications of CNN to assess morphodynamic evolution are still rare and mainly focused on sediment load modelling (Nagy et al. 2002;Gupta et al. 2021). ...

... The temporal nonstationarity of RSLC results from a combination of a long-term trend in the mean RSL, the deterministic tidal component, surge seasonality, and interactions between the tide and surge (Dixon and Tawn, 1999). Many studies also suggest that RSL may have multi-scale oscillatory components from interannual to interdecadal timescales (Karamperidou et al., 2013;Scafetta, 2014;Turki et al., 2020). Hourly to daily extreme RSL related to transient storms, eddies, and tsunamis; seasonal to interannual sea-level dynamics associated with large-scale climate teleconnections and ocean dynamics are considered vital threats to coastal communities, especially, the low-lying areas and sensitive ecosystem areas (Goddard et al., 2015;Lovelock et al., 2017). ...

... The goal of this approach was to parameterize an erosion model, that considers soil surface and land use characteristics, to provide a dynamic indication of the catchments' erosion sensitivity in response to a storm rainfall event. Therefore, we chose the raster-based, spatially distributed, and event-based WaterSed model (Patault et al. 2020;Grangeon et al. 2021). It was developed to model the spatial distribution of runoff and erosion from field to catchment scale. ...