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We have found 2,292 datasets for the keyword "stac". You can continue exploring the search results in the list below.
Datasets: 100,295
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2,292 Datasets, Page 1 of 230
Solar Resource, NSRDB PSM Global Horizontal Irradiance (GHI) - North American Cooperation on Energy Information
Average of the hourly Global Horizontal Irradiance (GHI) over 17 years (1998-2014). Data extracted from the National Solar Radiation Database (NSRDB) developed using the Physical Solar Model (PSM) by National Renewable Energy Laboratory ("NREL"), Alliance for Sustainable Energy, LLC, U.S. Department of Energy ("DOE").The current version of the National Solar Radiation Database (NSRDB) (v2.0.1) was developed using the Physical Solar Model (PSM), and offers users the solar resource datasets from 1998 to 2014). The NSRDB comprises 30-minute solar and meteorological data for approximately 2 million 0.038-degree latitude by 0.038-degree longitude surface pixels (nominally 4 km2). The area covered is bordered by longitudes 25° W on the east and 175° W on the west, and by latitudes -20° S on the south and 60° N on the north. The solar radiation values represent the resource available to solar energy systems. The AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) model uses half-hourly radiance images in visible and infrared channels from the GOES series of geostationary weather satellites, a climatological albedo database and mixing ratio, temperature and pressure profiles from Modern Era-Retrospective Analysis (MERRA) to generate cloud masking and cloud properties. Cloud properties generated using PATMOS-x are used in fast radiative transfer models along with aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary sources to estimate Direct Normal Irradiance (DNI) and Global Horizontal Irradiance (GHI). A daily AOD is retrieved by combining information from the MODIS and MISR satellites and ground-based AERONET stations. Water vapor and other inputs are obtained from MERRA. For clear sky scenes the direct normal irradiance (DNI) and GHI are computed using the REST2 radiative transfer model. For cloud scenes identified by the cloud mask, Fast All-sky Radiation Model for Solar applications (FARMS) is used to compute the GHI. The DNI for cloud scenes is then computed using the DISC model. The data in this layer is an average of the hourly GHI over 17 years (1998-2014). NOTE: The Geographical Information System (GIS) data and maps for solar resources for Global Horizontal Irradiance (GHI) and Direct Normal Irradiance (DNI) were developed by the U.S. National Renewable Energy Laboratory (NREL) and provided for Canada as an estimate. At present, neither the NREL data, nor the Physical Solar Model (PSM) on which the NREL data is based, have been either assessed or validated for the particular Canadian weather applications. A Canadian GHI map developed by the department of Natural Resources Canada (NRCan) is based on the State University of New York (SUNY) model and has been assessed and validated for the particular Canadian weather applications. The Canadian GHI map is available at http://atlas.gc.ca/cerp-rpep/en/.
Greenhouse gas emissions from large facilities
The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Greenhouse gas emissions from large facilities indicator reports total greenhouse gas emissions from the largest greenhouse gas emitters in Canada for the 2023 reporting year. The Greenhouse Gas Reporting Program ensures that the greenhouse gas emissions from Canada's largest emitters are tracked and reported. This mandatory reporting contributes to the development, implementation and evaluation of climate change and energy policies and strategies in Canada. Greenhouse gas emissions data reported through the Greenhouse Gas Reporting Program are used to inform the development of estimates of greenhouse gas emissions in Canada in the National Inventory Report, and to support regulatory initiatives. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators
Root - EODMS Datacube API
The STAC API for NRCan's Earth Observation Database Management System (EODMS)..**This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Root - CCMEO Datacube API
stac-fastapi.**This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Collection - Canadian Digital Elevation Model
This collection is a legacy product that is no longer supported. It may not meet current government standards. The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's altimetry system designed to better meet the users' needs for elevation data and products. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Collection - Flood Susceptibility Index (FSI)
A national map of flood susceptibility or flood prone areas based on patterns of historic flood events as predicted by an ensemble machine learning model. The recommended use is national, provincial or regional scale and can be used as a guide for identifying areas for further investigation. This dataset, while processed and available at 30m cell size, is not recommended for use at the pixel or street level, given the uncertainty in the modelling process and the variability of results as discussed in https: **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Collection - Land Cover of Canada
Land cover information is necessary for a large range of environmental applications related to climate impacts and adaption, emergency response, wildlife habitat, etc. The Canada Centre for Remote Sensing (CCRS) has generated a 30 m land cover map of Canada in response to this need. This land cover dataset is also the Canadian contribution to the 30 m spatial resolution Land Cover Map of North America under a collaboration called the North American Land Change Monitoring System (NALCMS). This land cover dataset for Canada is produced using observation from Operational Land Imager (OLI) Landsat sensor. **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Collection - Temporal Series of the National Air Photo Library (NAPL) - Markham, Ontario (1960-1974)
Temporal Series of the National Air Photo Library (NAPL) - Markham, Ontario (1960-1974) **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Collection - Temporal Series of the National Air Photo Library (NAPL) - Ottawa River (1950-2001)
Temporal Series of the National Air Photo Library (NAPL) - Ottawa River (1950-2001) **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
Collection - Temporal Series of the National Air Photo Library (NAPL) - Regina, Saskatchewan (1947-1967)
Temporal Series of the National Air Photo Library (NAPL) - Regina, Saskatchewan (1947-1967) **This third party metadata element follows the Spatio Temporal Asset Catalog (STAC) specification.**
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