WMS

WFS service for seabirdsbreedingpopulations

WFS service for dybdedata

Grunnkart

Ce service présente le revenu total médian des ménages en 2015 au Canada par division de recensement, 2016. Les données proviennent du Profil du recensement, produit numéro 98-316-X2016001 au catalogue de Statistique Canada. Le revenu total désigne la somme de certains revenus (en espèces et, dans certains cas, en nature) de l’unité statistique durant une période de référence donnée. Le revenu médian d’un groupe donné est le montant qui divise en deux la répartition du revenu de ce groupe.

This data publication contains a collection of raster maps of mature forests (m3/ha) in Canada and post-harvest forest residues for the bioenergy/bioproducts sector (ODT/yr) over the next 20 years. The maps were produced from remote sensing products at a spatial resolution of 250 m on the MODIS pixel grid and 30 m on the Landsat pixel grid. More specifically, we used forest attribute data at the 250 m pixel for the years 2001 and 2011 (Beaudoin et al 2014 and 2018) combined with forest cover changes for the years 1985 to 2015 at 30 m (Guindon et al. 2018). Results of available biomass (in the form of forest residues) were reported at the 10 km x 10 km scale, while the map of mature forests in Canada was prepared at the management unit level. Briefly, our methodology consisted of three steps: 1- create a map of mature forests for the year 2011, based on 2001 cut volumes; 2- develop an annual cut rate from the cuts made from 1985 to 2015 and; 3- define the amount of biomass in the form of forest residues available for the bioenergy sector. The biomass of branches and leaves of forest attribute data at 250 m pixel was used as a proxy to define the biomass of forest residues available. Nationally, the average biomass of forest residues available after harvest is 26 ± 16 ODT/ha, while the total annual availability for all managed forests in Canada was 21 million ODT/yr. A scientific article is under revision, the reference will be provided later. Reference for this dataset: Barrette J, Paré D, Manka F, Guindon L, Bernier P, Titus B. 2018. Forecasting the spatial distribution of logging residues in Canada’s managed forests. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada.

"The fire regime describes the patterns of fire seasonality, frequency, size, spatial continuity, intensity, type (e.g., crown or surface fire) and severity in a particular area or ecosystem. The number of large fires refers to the annual number of fires greater than 200 hectares (ha) that occur per units of 100,000 ha. It was calculated per Homogeneous Fire Regime (HFR) zones. These HFR zones represent areas where the fire regime is similar over a broad spatial scale (Boulanger et al. 2014). Such zonation is useful in identifying areas with unusual fire regimes that would have been overlooked if fires had been aggregated according to administrative and/or ecological classifications. Fire data comes from the Canadian National Fire Database covering 1959–1999 (for HFR zones building) and 1959-1995 (for model building). Multivariate Adaptive Regression Splines (MARS) modeling was used to relate monthly fire regime attributes with monthly climatic/fire-weather in each HFR zone. Future climatic data were simulated using the Canadian Earth System Model version 2 (CanESM2) and downscaled at a 10 Km resolution using ANUSPLIN for two different Representative Concentration Pathways (RCP). RCPs are different greenhouse gas concentration trajectories adopted by the Intergovernmental Panel on Climate Change (IPCC) for its fifth Assessment Report. RCP 2.6 (referred to as rapid emissions reductions) assumes that greenhouse gas concentrations peak between 2010-2020, with emissions declining thereafter. In the RCP 8.5 scenario (referred to as continued emissions increases) greenhouse gas concentrations continue to rise throughout the 21st century. Provided layer: projected number of large fires (>200 ha) across Canada for the short-term (2011-2040) under the RCP 8.5 (continued emissions increases)."

A compliant implementation of WMS plus most of the SLD extension (dynamic styling). Can also generate PDF, SVG, KML, GeoRSS

Data from the Pacific Islands Ocean Observing System (PacIOOS) of the School of Ocean and Earth Science and Technology (SOEST) at the University of Hawaii. PacIOOS is one of eleven regional observing programs in the U.S. supporting the Integrated Ocean Observing System (IOOS). The PacIOOS region includes the U.S. Pacific Region (Hawaii, Guam, American Samoa, Commonwealth of the Northern Mariana Islands), the Pacific nations in Free Association with the U.S. (Republic of the Marshall Islands, Federated States of Micronesia, Republic of Palau), and the U.S. Minor Outlying Islands (Howland, Baker, Johnston, Jarvis, Kingman, Palmyra, Midway, Wake). These data are served using GeoServer in a variety of interoperable data services and output formats: http://geo.pacioos.hawaii.edu/geoserver/. See http://geoserver.org for further documentation; and GeoServer's WFS documentation at: http://docs.geoserver.org/latest/en/user/services/wms/. Please note that cached versions of many of these map layers exist in our GeoServer via GeoWebCache using WMS-C. This would be the preferred method of accessing some of the larger data layers for improved access speeds: http://geo.pacioos.hawaii.edu/geoserver/gwc/service/wms?request=GetCapabilities&version=1.1.1&tiled=true. Use of WMS-C is similar to traditional WMS but with the addition of the "tiled=true" parameter, which triggers GeoServer to pull map tiles from GeoWebCache if they have been previously generated. Lastly, GeoExplorer can be used to view these layers online at http://geo.pacioos.hawaii.edu/geoexplorer/.