zones humides – -Translation – Keybot Dictionary

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  Service canadien des fo...  
Cette information peut être utile dans beaucoup d’autres activités du secteur forestier, y compris la cartographie des éléments hydrologiques (comme les rivières, les plaines inondables et les zones humides) et la planification de corridors, comme des routes.
LiDAR, which can be used both from aircraft and satellites, provides direct three-dimensional measurements of the structure of vegetation and the underlying terrain. From these measurements, digital elevation models and remarkably accurate forest inventory data can be derived. This information can be used for many other forestry-related activities, including the mapping of hydrologic features (such as rivers, floodplains and wetlands) and the planning of corridors such as roads. Used in combination with other data sources such as multispectral optical imagery, LiDAR is changing the thinking and planning around how conventional forest inventory is being conducted.
  Publications du Service...  
Parmi celles-ci : (1) une configuration de circulation atmosphérique transitoire à grande échelle (et de température de la surface de la mer) qui a généralement causé de la subsidence dans la région mais aussi des périodes de froid et de chaleur au cours de son évolution; ces caractéristiques ne se sont généralement pas produites lors des sécheresses précédentes; (2) de forts gradients spatiaux entre les zones humides et sèches qui, dans certains cas, étaient liés à des événements de précipitations extrêmes; et (3) plusieurs conséquences à la surface et sous la surface de la terre qui se sont produites avec des retards variables par rapport aux conditions météorologiques et qui auraient à leur tour rétroagi sur le caractère de la sécheresse (par exemple, rétroaction de convection de surface).
Droughts are among the world's most costly natural disasters and collectively affect more people than any other form of natural disaster. The Canadian Prairies are very susceptible to drought and have experienced this phenomenon many times. However, the recent 1999–2005 Prairie drought was one of the worst meteorological, agricultural and hydrologic droughts over the instrumental record. It also had major socio-economic consequences, adding up to losses in the billions of dollars. This recent drought was the focus of the Drought Research Initiative (DRI), the first integrated network focusing on drought in Canada. This article addresses some of the key objectives of DRI by providing a collective summary, understanding and synthesis of the 1999–2005 drought. Bringing together the many datasets used in this study was in itself a major accomplishment. This drought exhibited many important, and sometimes surprising, features. This includes, for example, (1) a non-steady large-scale atmospheric circulation (and sea surface temperature) pattern that mainly resulted in subsidence over the region but also cold and warm periods in its evolution; such features have typically not occurred in previous droughts; (2) large spatial gradients between wet and dry areas that, in some instances, were linked with major precipitation events; and (3) many impacts at and below the earth's surface that occurred with varying temporal lags from the meteorological conditions and, in response, these impacts would have fed back onto the character of the drought (e.g., the surface-convection feedback). The drought's complexity poses enormous challenges for its simulation and prediction at all temporal scales. High-resolution models coupled with the surface are needed to address these and many other issues identified in this article.
  Publications du Service...  
Le TVWI et les limites correspondantes entre les zones humides et sèches s'appuient sur une interprétation des diagrammes de dispersion obtenus en reportant la température potentielle à la surface en fonction de l'IVDN.
In this paper, we develop a method to estimate land-surface water content in a mostly forest-dominated (humid) and topographically varied region of eastern Canada. The approach is centered on a temperature-vegetation wetness index (TVWI) that uses standard 8-day MODIS-based image composites of land surface temperature (Ts) and surface reflectance as primary input. In an attempt to improve estimates of TVWI in high elevation areas, terrain-induced variations in Ts are removed by applying grid, digital elevation model-based calculations of vertical atmospheric pressure to calculations of surface potential temperature. Here, surface potential temperature corrects Ts to the temperature value to what it would be at mean sea level (i.e., ~101.3 kPa) in a neutral atmosphere. The vegetation component of the TVWI uses 8-day composites of surface reflectance in the calculation of normalized difference vegetation index (NDVI) values. TVWI and corresponding wet and dry edges are based on an interpretation of scatterplots generated by plotting surface potential temperature as a function of NDVI. A comparison of spatially averaged field measurements of volumetric soil water content (VSWC) and TVWI for the 2003-2005 period revealed that variation with time to both was similar in magnitudes. Growing season, point mean measurements of VSWC and TVWI were 31.0% and 28.8% for 2003, 28.6% and 29.4% for 2004, and 40.0% and 38.4% for 2005, respectively. An evaluation of the long-term spatial distribution of land-surface wetness generated with the new surface potential temperature-NDVI function and a process-based model of soil water content showed a strong relationship (i.e., r2 = 95.7%).