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Dissertation
Comparaison entre l'estimation de l'albedo en surface de MAR et les valeurs d'albedo reconstituées à partir du capteur OLCI de Sentinel-3
Authors: --- --- --- ---
Year: 2025 Publisher: Liège Université de Liège (ULiège)

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Abstract

L’albédo de la neige et de la glace est une grandeur physique dépendant de nombreuses variables, dont les implications sur le climat sont importantes. La compréhension des phénomènes gouvernant la variabilité de l’albédo passe par le développement et l’évaluation de modèles, dont fait partie le Modèle Atmosphérique Régional (MAR).&#13;Ce mémoire compare les estimations d’albédo de MAR avec les valeurs d’albédo reconstituées à partir du capteur Ocean and Land Colour Instrument (OLCI) de Sentinel-3. La reconstitution des valeurs d’albédo fait usage de l’algorithme Sentinel-3 Snow and Ice (SICE). La comparaison se limite à l’inlandsis groenlandais pour les années 2018, année de faible fonte, et 2019, année de forte fonte. Un produit dérivé des observations du capteur Moderate Resolution Imaging Spectroradiometer (MODIS) ainsi qu’un produit du Geological Survey of Denmark and Greenland (GEUS) issus des observations de Sentinel-3 sont utilisés pour valider cette comparaison.&#13;La comparaison montre que les estimations d’albédo de MAR sont globalement cohérentes avec les valeurs d’albédo reconstituées. La racine de l’erreur quadratique moyenne (RMSE) est de 0,07 en 2018 et de 0,08 en 2019. Ces RMSE sont légèrement plus élevés que ceux issus des comparaisons entre données satellitaires (0,06). Une légère sous-estimation est détectée dans les plus faibles valeurs d’albédo de la neige. Le principal résultat est la mise en évidence d’une surestimation dans la zone d’ablation (biais positif de 0,05 en 2018 et de 0,07 en 2019), qui devient maximale lorsque la glace devient prédominante en surface. En effet, les estimations de l’albédo de la glace sont problématiques car elles ne montrent pas de lien avec l’albédo observé : la paramétrisation de l’albédo de la glace par MAR fournit des valeurs quasi constantes de ≈ 0,55 alors que les valeurs observées couvrent une plage allant de 0,35 à 0,6. L’albédo de la glace est donc principalement surestimé par MAR.&#13;La capacité de MAR à modéliser la nature de la couche en surface est primordiale pour obtenir des estimations d’albédo fiables. Ce mémoire effectue donc aussi une comparaison entre les étendues de glace vive modélisées par MAR et les étendues de glace vive déduites des produits d’albédo satellitaires. Celle-ci montre que MAR sous-estime l’étendue de glace vive en 2018 et la surestime en 2019. De plus, que ce soit en 2018 ou en 2019, l’apparition de glace vive dans MAR présente un retard par rapport aux données satellitaires.&#13;Les résultats obtenus corroborent de précédentes études. Ils suggèrent qu'une amélioration de la paramétrisation de l'albédo de la glace de MAR est souhaitable. Snow and ice albedo is a physical quantity dependent on numerous variables, with significant implications for the climate. Understanding the phenomena governing albedo variability requires the development and evaluation of models, such as Modèle Atmosphérique Régional (MAR).&#13;This master’s thesis compares the albedo simulated by MAR with albedo values reconstructed from Sentinel-3’s Ocean and Land Colour Instrument (OLCI). The reconstruction of albedo values is based on the Sentinel-3 Snow and Ice (SICE) algorithm. The comparison is limited to the Greenland Ice Sheet for the years 2018, a year of low melt, and 2019, a year of high melt. A product derived from observations by the Moderate Resolution Imaging Spectroradiometer (MODIS), as well as a product from the Geological Survey of Denmark and Greenland (GEUS) based on Sentinel-3 observations, are used to validate this comparison.&#13;The comparison shows that MAR albedo is generally consistent with reconstructed albedo values. The root mean square error (RMSE) is 0.07 in 2018 and 0.08 in 2019. These RMSE values are slightly higher than those obtained from comparisons between satellite data (0.06). A slight underestimation is detected in the lowest snow albedo values. The main result is the identification of an overestimation in the ablation zone (a positive bias of 0.05 in 2018 and 0.07 in 2019), which becomes maximal when ice dominates at the surface. Indeed, ice albedo simulated by MAR is problematic because it shows no correlation with observed albedo. The MAR ice albedo scheme provides nearly constant values of ≈ 0.55, whereas observed values range from 0.35 to 0.6. Thus, ice albedo is mainly overestimated by MAR.&#13;MAR’s ability to model the surface layer’s characteristics is crucial for obtaining reliable albedo values. Therefore, this master’s thesis also compares the extent of bare ice modeled by MAR with the extent of bare ice inferred from satellite albedo products. This comparison shows that MAR underestimates the extent of bare ice in 2018 and overestimates it in 2019. Furthermore, in both 2018 and 2019, the appearance of bare ice in MAR is delayed compared to satellite data.&#13;The results obtained corroborate previous studies. They suggest that improving the MAR bare-ice albedo scheme is needed.


Book
Radar Technology for Coastal Areas and Open Sea Monitoring
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Monitoring oceans and coastal areas has a fundamental social impact, and this scenario is made still more challenging with the present and future issues related to climate change. In this context, radar systems have gained increasing interest, since they are remote sensing devices capable of providing information about sea waves, currents, tides, bathymetry, and wind. Moreover, radar systems can be designed to perform both large-scale and small-scale monitoring, with different spatial and temporal resolutions, and can be installed on different observation platforms (ship-based, ground-based, airborne, satellite or drones). In this regard, this book aims at engendering a virtual forum for ocean radar researchers, where state-of-the-art methodologies and applications concerning ocean monitoring by means of radar technologies are reviewed and discussed.


Book
Remote Sensing Monitoring of Land Surface Temperature (LST)
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.


Book
Fiducial Reference Measurements for Satellite Ocean Colour
Authors: --- --- --- ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Ocean color measured by satellite-mounted optical sensors is an essential climate variable that is routinely used as a central element for assessing the health and productivity of marine ecosystems and the role of oceans in the global carbon cycle. For satellite ocean color to be reliable and used in these and other important environmental applications, the data must be trustworthy and high quality. Pre-flight and on-board calibration of satellite ocean color sensors is conducted; however, once in orbit, the data quality can only be fully assessed via independent calibration and validation activities using surface measurements. These measurements therefore need to be at least as high quality as the satellite data, which necessitates SI traceability and a full uncertainty budget. This is the basis for fiducial reference measurements (FRMs) and the FRM4SOC project, which was an European Space Agency (ESA) initiative to establish and maintain SI-traceable ground-based FRM for satellite ocean color, thus providing a fundamental contribution to the European system for monitoring the Earth (Copernicus). This Special Issue of MDPI Remote Sensing is designed to showcase this essential Earth observation work through the publication of the project’s main achievements and results accompanied by other select relevant articles.

Keywords

VIIRS --- SNPP --- NOAA-20 --- DINEOF --- ocean color data --- data merging --- gap-filling --- ocean color radiometers --- radiometric calibration --- indoor intercomparison measurement --- agreement between sensors --- measurement uncertainty --- field intercomparison measurement --- Hyperspectral reflectance --- validation --- autonomous measurements --- ground-truth data --- system design --- downwelling irradiance --- satellite validation --- Fiducial Reference Measurements --- water reflectance --- satellite --- calibration --- solar diffusor --- SDSM --- desert trend --- lunar calibration --- RVS --- MODIS --- Aqua --- ocean color --- water-leaving radiance --- atmospheric correction --- Sentinel-3 OLCI --- Copernicus --- ocean colour --- system vicarious calibration --- fiducial reference measurement --- Lampedusa --- MOBY --- MarONet --- radiometry --- research infrastructure --- uncertainty budget --- satellite ocean colour --- fiducial reference measurements (FRM) --- calibration and validation --- SI traceability and uncertainty --- European Space Agency (ESA) --- Committee for Earth Observation Satellites (CEOS) --- fiducial reference measurements --- SI-traceability --- Mediterranean Sea --- BOUSSOLE --- MSEA --- hyper-temporal dataset --- optical radiometry --- coastal environment --- observation geometry --- remote sensing reflectance --- ocean colour radiometers --- TriOS RAMSES --- Seabird HyperSAS --- field intercomparison --- AERONET-OC --- Acqua Alta Oceanographic Tower --- remote sensing --- spectral irradiance comparison --- spectral radiance sources comparison


Book
Remote Sensing Monitoring of Land Surface Temperature (LST)
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.


Book
Remote Sensing of the Aquatic Environments
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The book highlights recent research efforts in the monitoring of aquatic districts with remote sensing observations and proximal sensing technology integrated with laboratory measurements. Optical satellite imagery gathered at spatial resolutions down to few meters has been used for quantitative estimations of harmful algal bloom extent and Chl-a mapping, as well as winds and currents from SAR acquisitions. The knowledge and understanding gained from this book can be used for the sustainable management of bodies of water across our planet.


Book
Radar Technology for Coastal Areas and Open Sea Monitoring
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Monitoring oceans and coastal areas has a fundamental social impact, and this scenario is made still more challenging with the present and future issues related to climate change. In this context, radar systems have gained increasing interest, since they are remote sensing devices capable of providing information about sea waves, currents, tides, bathymetry, and wind. Moreover, radar systems can be designed to perform both large-scale and small-scale monitoring, with different spatial and temporal resolutions, and can be installed on different observation platforms (ship-based, ground-based, airborne, satellite or drones). In this regard, this book aims at engendering a virtual forum for ocean radar researchers, where state-of-the-art methodologies and applications concerning ocean monitoring by means of radar technologies are reviewed and discussed.


Book
Radar Technology for Coastal Areas and Open Sea Monitoring
Authors: ---
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

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Abstract

Monitoring oceans and coastal areas has a fundamental social impact, and this scenario is made still more challenging with the present and future issues related to climate change. In this context, radar systems have gained increasing interest, since they are remote sensing devices capable of providing information about sea waves, currents, tides, bathymetry, and wind. Moreover, radar systems can be designed to perform both large-scale and small-scale monitoring, with different spatial and temporal resolutions, and can be installed on different observation platforms (ship-based, ground-based, airborne, satellite or drones). In this regard, this book aims at engendering a virtual forum for ocean radar researchers, where state-of-the-art methodologies and applications concerning ocean monitoring by means of radar technologies are reviewed and discussed.


Book
Remote Sensing Monitoring of Land Surface Temperature (LST)
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.


Book
Remote Sensing of the Aquatic Environments
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The book highlights recent research efforts in the monitoring of aquatic districts with remote sensing observations and proximal sensing technology integrated with laboratory measurements. Optical satellite imagery gathered at spatial resolutions down to few meters has been used for quantitative estimations of harmful algal bloom extent and Chl-a mapping, as well as winds and currents from SAR acquisitions. The knowledge and understanding gained from this book can be used for the sustainable management of bodies of water across our planet.

Keywords

Research & information: general --- Geography --- polymer optical fibers --- ammonia detection --- optical fiber coating --- aquaculture --- French Alps --- optical remote sensing --- multitemporal --- linear spectral unmixing --- NDVI --- drought --- Rana temporaria --- ecohydrology --- mountain temporary pools --- Lake Tana --- water hyacinth --- waterbody temperature --- turbidity --- lake level --- Planetscope --- remote sensing --- sensors --- ocean color --- sediment --- turbid water --- chlorophyll --- geostationary satellite --- aquaculture ponds --- extraction --- inland lake --- self-attention --- Ulva --- Sentinel-2 --- satellite --- algal bloom --- coral reefs --- Pacific lagoons --- HAB --- multi-source remote sensing --- MODIS --- Landsat --- sentinel --- Chaohu Lake --- ecological status class of lakes --- European Union Water Framework Directive (2000/60/EC) --- water quality parameters --- water level --- Sentinel-3 --- Cryosat-2 --- shallow lakes --- synergy --- altimetry data --- optical data --- CDOM absorbance --- spectroscopic indices --- DOC --- Arctic --- shelf seas --- estuarial and coastal areas --- drone applications --- surface water --- groundwater --- photogrammetry --- optical sensing --- thermal infrared --- deep learning --- convolutional neural network --- chlorophyll-a --- hydrodynamic model --- empirical models --- multiple regression --- Paldang Reservoir --- SAR --- Doppler Centroid Anomaly --- inland waters --- physical limnology --- hydrodynamics

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