Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Comme tous les écosystèmes mondiaux, les forêts sont caractérisées par une composition et une structure dynamiques dans le temps et dans l’espace. Elles sont en constante évolution, dépendantes des perturbations intrinsèques et extrinsèques qui s’y déroulent. Le domaine de la foresterie opère actuellement une transition technologique qui a pour objectif de valoriser au mieux les nouvelles méthodes de détection et d’analyse dans le but d’optimiser les inventaires sur le terrain, mais également en dehors. Les inventaires forestiers ont pour objectif de mesurer l’étendue, la quantité, la composition et les conditions des ressources forestières à un moment donné. Ils peuvent ensuite être utilisés à des fins de modélisation pour prédire des situations dans le temps et dans l’espace. Les nouvelles techniques d’inventaire tel que le LiDAR (Light Detection And Ranging) et la télédétection pourraient potentiellement substituer les techniques classiques, mais elles peuvent aussi les compléter. Malgré le grand nombre de placettes d’inventaires permanentes instaurées par le MFFP (Ministère des Forêts, de la Faune et des Parcs) pour les inventaires décennaux, peu d’entre elles se situent dans des zones de régénération dont la hauteur est inférieure à 7 m. L’intérêt grandissant du LiDAR aérien et le développement matériel qui l’accompagne ont permis au Québec de procéder à l’acquisition de nuages de points de manière systématique depuis le début de XXIe siècle. De plus il existe des photographies aériennes historiques acquises à des fins d’interprétation de la composition en essences pour les inventaires décennaux qui couvrent les mêmes zones couvertes par le LiDAR. Ces images (digitales ou analogiques) peuvent faire l’objet d’un traitement photogrammétrique afin d’en tirer un nuage de points de la structure du paysage photographié. La combinaison de ces deux outils novateurs permet de produire des modèles de hauteur de canopée (Canopy Height Model – CHM) photo-LiDAR qui caractérisent la hauteur des peuplements à une date antérieure (date de la photographie). Le CHM issu intégralement du LiDAR décrit quant à lui la hauteur de la forêt pour l’année à laquelle la donnée LiDAR a été acquise. Ces CHM peuvent être assemblés afin de produire des séries temporelles décrivant la hauteur des peuplements depuis une perturbation majeure. Confrontées avec des paramètres écologiques, ces courbes pourraient mener à la création d’un modèle de croissance des peuplements en régénération en forêt boréale québécoise. Like all global ecosystems, forests are characterized by a dynamic composition and structure in time and space. They are constantly evolving, dependent on the intrinsic and extrinsic disturbances that take place there. The field of forestry is currently undergoing a technological transition that aims to make the best use of new methods of detection and analysis to optimize inventories in the field, but also outside. Forest inventories are designed to measure the extent, quantity, composition and conditions of forest resources at a given time. They can then be used for modeling purposes to predict situations in time and space. New inventory techniques such as LiDAR (Light Detection and Ranging) and remote sensing could potentially replace conventional techniques, but they can also complement them. Despite the large number of permanent inventory plots established by the MFFP (Minister of Forests, Wildlife and Parks) for decennial inventories, few of them are in regeneration areas less than 7 m high. The growing interest of the ALS (Airborne Laser Scanning) and the material development that comes with it has enabled Québec to acquire point clouds systematically since the beginning of the 21st century. In addition, there are historical aerial photographs acquired for interpreting the species composition for ten-year inventories that cover the same areas covered by LiDAR. These images (digital or analogue) can be photogrammetrically processed to draw a point cloud from the structure of the photographed landscape. The combination of these two innovative tools makes it possible to produce photo-LiDAR Canopy Height Models (CHM) that characterize stand height at an earlier date (date of photography). The CHM derived entirely from LiDAR describes the height of the forest for the year in which the LiDAR data was acquired. These CHMs can be assembled to produce time series describing stand height from a major disturbance. Confronted with ecological parameters, these curves could lead to the creation of a growth model of regenerating stands in Quebec's boreal forest.

ALS --- MHC --- MNS --- MNT --- LiDAR --- Photogrammétrie --- Régénération --- Épinette noire --- Forêt boréale --- ALS --- CHM --- DSM --- DTM --- LiDAR --- Photogrammetry --- Regeneration --- Black spruce --- Boreal forest --- Sciences du vivant > Sciences de l'environnement & écologie

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Erosion is experienced by most coastlines worldwide, and it is usually attributed not only to sea level rise but also to the retention of sand in dams, the occupation of dry beaches by urbanized areas, the mining of sand as a building material for construction, and so on. Beach nourishment has evolved as the favored erosion-mitigation strategy in many areas of the world. The increasing number of people living on the coast, the safety of those people, and the high values of coastal properties are all factors that have made beach nourishment a cost-effective strategy for managing erosion in many locations. However, a new scenario of sand scarcity and environmental care has arisen in recent decades. There have been many different and interesting cases of various aspects of beach nourishment in recent years. The purpose of this invited Special Issue is to publish the most exciting experience and research with respect to this topic. Thus, novel techniques for designing, executing, and controlling these kinds of works as well as different case studies and their monitoring results and conclusions have been included, in order to present an updated state of the art for marine scientists, researchers, and engineers.

Technology: general issues --- key coastal erosion --- sediment budget --- fill stability --- colour compatibility --- beach nourishment --- beach restoration --- ecosystem management --- substrate --- reproductive habitat --- human impacts --- beach-spawning fishes --- essential fish habitat --- visualisation --- erosion --- modelling --- stakeholders --- sand engine --- XBeach --- shore protection --- perched beaches --- monitoring --- cost --- volume density --- geologically controlled beach --- Cancun beach --- coastal erosion --- hurricane damage --- beach nourishment assessment --- beach profile imbalance --- beach evaluation --- multidata approach --- sedimentary dynamics --- outfall --- marine geophysics --- magnetic method --- Colombian Caribbean --- DIMAR --- CIOH --- UAV --- RPAS --- littoral systems --- aerial photogrammetry --- DTM --- SfM --- GCPs --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In particular, the growing computational power is offering new strategies for a more detailed description of the flooding over large scales. This book offers an overview of the most recent outcomes of the research on this argument.

History of engineering & technology --- climate change --- flood hazards --- high-resolution AGCM --- inundation analysis --- Lower Mekong river basin --- data assimilation --- ensemble Kalman filter --- flood inundation maps --- National Water Model (NWM) --- countermeasures --- flood impacts --- Metro Colombo canal system --- Colombo city, Sri Lanka --- urban floods --- near real-time --- Mekong Basin --- hydro-economic --- socioeconomic --- damage assessment --- hydroinformatics --- EU Floods Directive --- flood risk management --- extreme rainfall --- SCS-CN --- 2D hydraulic modelling --- HEC-RAS --- building representation --- ungauged streams --- uncertainty --- IDF curves --- Bayesian analysis --- Non-Stationary process --- open-access remotely sensed data --- flood mapping and modelling --- altimetry --- synthetic aperture radar --- optical satellite --- Digital Elevation Model (DEM) --- and transboundary floods --- flood --- remote sensing --- data integration --- RST-FLOOD --- MODIS --- VIIRS --- optical data --- flood mapping --- flood monitoring --- floodplains --- rivers dynamics --- DEM-based methods --- geomorphology --- data scarce environments --- DTM --- terrain analysis --- hydraulic geometry --- large scale --- 2D hydraulic modeling --- scaling in hydrology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In particular, the growing computational power is offering new strategies for a more detailed description of the flooding over large scales. This book offers an overview of the most recent outcomes of the research on this argument.

History of engineering & technology --- climate change --- flood hazards --- high-resolution AGCM --- inundation analysis --- Lower Mekong river basin --- data assimilation --- ensemble Kalman filter --- flood inundation maps --- National Water Model (NWM) --- countermeasures --- flood impacts --- Metro Colombo canal system --- Colombo city, Sri Lanka --- urban floods --- near real-time --- Mekong Basin --- hydro-economic --- socioeconomic --- damage assessment --- hydroinformatics --- EU Floods Directive --- flood risk management --- extreme rainfall --- SCS-CN --- 2D hydraulic modelling --- HEC-RAS --- building representation --- ungauged streams --- uncertainty --- IDF curves --- Bayesian analysis --- Non-Stationary process --- open-access remotely sensed data --- flood mapping and modelling --- altimetry --- synthetic aperture radar --- optical satellite --- Digital Elevation Model (DEM) --- and transboundary floods --- flood --- remote sensing --- data integration --- RST-FLOOD --- MODIS --- VIIRS --- optical data --- flood mapping --- flood monitoring --- floodplains --- rivers dynamics --- DEM-based methods --- geomorphology --- data scarce environments --- DTM --- terrain analysis --- hydraulic geometry --- large scale --- 2D hydraulic modeling --- scaling in hydrology

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In particular, the growing computational power is offering new strategies for a more detailed description of the flooding over large scales. This book offers an overview of the most recent outcomes of the research on this argument.

climate change --- flood hazards --- high-resolution AGCM --- inundation analysis --- Lower Mekong river basin --- data assimilation --- ensemble Kalman filter --- flood inundation maps --- National Water Model (NWM) --- countermeasures --- flood impacts --- Metro Colombo canal system --- Colombo city, Sri Lanka --- urban floods --- near real-time --- Mekong Basin --- hydro-economic --- socioeconomic --- damage assessment --- hydroinformatics --- EU Floods Directive --- flood risk management --- extreme rainfall --- SCS-CN --- 2D hydraulic modelling --- HEC-RAS --- building representation --- ungauged streams --- uncertainty --- IDF curves --- Bayesian analysis --- Non-Stationary process --- open-access remotely sensed data --- flood mapping and modelling --- altimetry --- synthetic aperture radar --- optical satellite --- Digital Elevation Model (DEM) --- and transboundary floods --- flood --- remote sensing --- data integration --- RST-FLOOD --- MODIS --- VIIRS --- optical data --- flood mapping --- flood monitoring --- floodplains --- rivers dynamics --- DEM-based methods --- geomorphology --- data scarce environments --- DTM --- terrain analysis --- hydraulic geometry --- large scale --- 2D hydraulic modeling --- scaling in hydrology