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Your search keyword '"Chormanski, Jaroslaw"' showing total 31 results
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31 results on '"Chormanski, Jaroslaw"'

14. Combined LiDAR and hyperspectral imagery to characterize the response of riparian communities to water availability: insights for climate change impact assessment

Author

Godfroy, Julien, Demarchi, Luca, Cui, Dandan, Michel, Kristell, Bizzi, Simone, Chormanski, Jaroslaw, Lague, Dimitri, Piégay, Hervé, Environnement Ville Société (EVS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Nationale des Travaux Publics de l'État (ENTPE)-Université Jean Monnet [Saint-Étienne] (UJM)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2)-École normale supérieure - Lyon (ENS Lyon), Michel, Kristell, Environnement, Ville, Société (EVS), École normale supérieure de Lyon (ENS de Lyon)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-École Nationale des Travaux Publics de l'État (ENTPE)-École nationale supérieure d'architecture de Lyon (ENSAL)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDE] Environmental Sciences, [PHYS.PHYS.PHYS-GEO-PH] Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], [SHS.GEO] Humanities and Social Sciences/Geography, [SDE]Environmental Sciences, [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph], [SHS.GEO]Humanities and Social Sciences/Geography
Abstract

International audience; Recent developments in remote-sensing enable a continuous monitoring of riparian vegetation, a task that was traditionally reliant on resource-consuming field campaigns and is key for river management policies. Over the Ain River (France), a simultaneous acquisition of high-resolution hyperspectral and LiDAR data was conducted through EUFAR-funded HYMOSENS2 airborne campaign in order to assess the potential of such technologies for characterizing the ecological condition of the riparian corridor. The coupling of these datasets with in-field sampling of vegetation plots and complementary LiDAR data from other airborne campaigns was used to determine the environmental conditions (e.g., depth to water and overbank sedimentation over a 7 year period) and riparian vegetation structural characteristics of each sampled plot through LiDAR-derived parameters. An empirical growth model was established by linking the structural characteristics of the vegetation to its age, for each plot. Deviations to this model and variations in canopy height within a plot were found to be correlated to geomorphic indicators of connectivity such as overbank sedimentation or the depth to water. This hydrological disconnection of the vegetation which affects both plant growth and species distribution can be identified with hyperspectral data at the levels of the plot and of individual tree crowns through leaf water content. This research shows the applicability of multiple sources of airborne-sensed data for the monitoring of vegetation health in a riverine environment and the identification of water-driven stress and competition, which is a growing concern in a context of climate change.

Published
2019

31. Evaluation and verification of the WetSpa model based on selected rural catchments in Poland

Author

Porretta-Brandyk, Laura, Chormanski, Jaroslaw, Ignar, Stefan, Okruszko, Tomasz, Brandyk, Andrzej, Szymczak, Tomasz, and Krezalek, Katarzyna

Abstract

Evaluation and verification of the WetSpa model based on selected rural catchments in PolandThe paper presents results of calibration and verification of the WetSpa model, which enables the modelling of rainfall-runoff process based on mass and energy balance in the soil-plantatmosphere system in the catchment. It is a model with distributed parameters, using the structure of raster GIS model to determine the spatial diversity of the catchment environment. This enables simulation of runoff from the catchment, including: precipitation, evapotranspiration, interception of plant surface and soil cover, infiltration and capillary rise in soil and groundwater runoff. Simulated processes depend on the required non-distributed parameters, which were calibrated based on hydrometeorological data from the three rural catchments with different physical and geographical characteristics: Mlawka, located in the Wkra basin in Central Poland and the rivers Kamienna and Sidra, which are tributaries of the upper Biebrza in north-eastern part of the country. Distributed catchment parameters were specified on the basis of digital soil maps, land use maps and digital elevation model using GIS techniques. Non-distributed model parameters were calibrated for the three catchments using automatic techniques based on the PEST algorithm. The obtained values of these parameters were scrutinized in order to analyse differences resulting from various characteristics of the study areas. The quality of the model was verified upon dependent and independent data. Appropriate quality measures, including Nash-Sutcliffe efficiency measure, were used to assess model quality. For two catchments (the Sidra and Kamienna) the model showed a satisfactory quality for modelling high flows, it was, however, not satisfactory for low flows. The values for the Mlawka catchment justified the assessment of the model quality measurements as very good and good. The factors most affecting the process of river outflow formation were determined using the analysis of model sensitivity to relative changes in parameter values. It was found that the evaluation of the model quality depended largely on the quality of meteorological data and proper parameterization of the soil cover.

Published
2010
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