데이터셋 상세
캐나다
Lotic Riparian - Strahler Order Derived
This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. Riparian areas consist of the lands adjacent to streams, rivers, wetlands and lakes that are strongly influenced by the presence of water. They are often distinct from the surrounding landscape as the vegetation growth is very lush. These areas form a transition between dry land and open water and are characterized by the presence of hydrophilic vegetation and specific soil types. Riparian areas are usually very productive in terms of biomass and form critical wildlife habitat. Additionally, these areas often have standing water and are subjected to periodic flooding when high water levels fill the stream channel to the top of the bank. The term 'riparian' is derived from the Latin word for river bank. Riparian areas provide valuable food, shelter and travel corridors as well as an adjacent water source for wildlife and livestock. These zones are often densely vegetated and serve as stabilization against the erosive forces associated with lotic systems. Riparian areas provide filtration for surface runoff from the surrounding land and protect the water quality of flowing streams. They trap sediment and reduce the velocity of stream flow, thus reducing erosion in downstream areas. These areas provide detritus to their associated aquatic systems as well as a moderating effect on surface temperatures. The function of riparian areas in the landscape is regarded to be sufficiently critical that they are given special consideration in terms of the impact assessment resulting from human activities such as recreation, logging, oil and gas exploration, road construction and range management. Informatics Branch of Alberta Environment and Parks, Government of Alberta has been assigned the task of developing a provincial map of riparian areas. This project represents the initial effort to map riparian areas for the province. The riparian areas map is intended as input into ALCES (A Landscape Cumulative Effects Simulator), which is software developed by Forem Technologies. ALCES is being used to project the cumulative effects of various types of human activity on the landscape. This is accomplished by generating aspatial snapshots of regions within the provincial landscape and assuming that the current level of human impact continues. The methodology involved creating variable buffers by Natural Region based on Strahler Order coding for streams that had been merged with the associated perennial lakes. Higher Strahler Order codes were associated with wider buffers and drier Natural Regions were associated with narrower buffers. The result was a geodatabase of polygons that were intended to represent potential lotic riparian areas but the accuracy was poor. Landsat information and the Base Features Digital Elevation Model were incorporated to a minimal degree as refinements to the coverage but did not result in any improvement in the spatial accuracy of the data. This dataset is not recommended for use in riparian analysis. The Lotic Riparian - Digital Elevation Model Derived dataset, which was released in October 2011, is a better representation of the location and extent of riparian areas.
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연관 데이터
Lotic Riparian - Digital Elevation Model (DEM) Derived
공공데이터포털
This dataset is produced for the Government of Alberta and is available to the general public. Please consult the Distribution Information of this metadata for the appropriate contact to acquire this dataset. Riparian areas consist of the lands adjacent to streams, rivers, wetlands and lakes that are strongly influenced by the presence of water. They are often distinct from the surrounding landscape as the vegetation growth is very lush. These areas form a transition between dry land and open water and are characterized by the presence of hydrophilic vegetation and specific soil types. Riparian areas are usually very productive in terms of biomass and form critical wildlife habitat. These areas often have standing water and are subjected to periodic flooding when high water levels fill the stream channel to the top of the bank. The term 'riparian' is derived from the Latin word for river bank. Riparian areas provide valuable food, shelter and travel corridors as well as close proximity to a water source for wildlife and livestock. These zones are often densely vegetated and serve as stabilization against the erosive forces associated with lotic systems. Riparian areas provide filtration for surface runoff from the surrounding land and protect the water quality of flowing streams. They trap sediment and reduce the velocity of stream flow, thus reducing erosion in downstream areas. These areas provide detritus to their associated aquatic systems as well as a moderating effect on surface temperatures. This riparian mapping project is intended to provide a geodatabase feature class of potential riparian areas associated with lotic features (streams and rivers) using the hydrologically corrected provincial digital elevation model as a base. Potential riparian areas associated with lentic features (wetlands and lakes) are not being captured at this time but wide rivers and lakes with flow through must be taken into consideration in order to give a more accurate representation of riparian areas. Isolated lakes are not included and no allowance for cultivated lands has been made.
ABoVE: Wetland Vegetation Classification for Peace-Athabasca Delta, Canada, 2019
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This dataset contains land cover classification focused on water and wetland vegetation communities over the Peace-Athabasca Delta, Canada. Four classification maps with 5-m resolution were derived various combinations of Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) acquired in July and September 2019, and a historical LiDAR archive data. The maps include 10 land cover classes, including open water, emergent aquatic vegetation types, terrestrial vegetation, and forest. Based on field data, the best performing model, which combined all three data sources, achieved an overall accuracy of 93.5%. The land cover maps are provided in GeoTIFF format along with polygons of AVIRIS-NG, UAVSAR, and LiDAR footprints in shapefile and KML formats.
ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019
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This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions.
ABoVE: Lake and Wetland Classification from L-band SAR, Alaska and Canada, 2017-2019
공공데이터포털
This dataset contains a high-resolution land cover classification focused on water and wetland vegetation classes over three NASA ABoVE Campaign regions: Yukon Flats, Alaska, USA; the Peace-Athabasca Delta, Alberta; and the Canadian Shield, Northwest Territories (NWT), Canada. The product was derived from L-band synthetic aperture radar (SAR) acquisitions from the airborne NASA UAVSAR instrument in 2017-2019. The classification was trained and validated from field visits, UAV images, satellite imagery as well as other ABoVE datasets. Classifications in all regions are provided as both preliminary 13-class versions and final, simplified 5-class versions. Training and test data used for the classifier are also included as well as characteristics of lakes in the study area. This land cover classification was developed to support a project focusing on potential methane emissions from the shallow near-shore, or littoral, regions of lakes. The emergent aquatic vegetation classes can be used as a proxy for these littoral zones. Wetland vegetation classifications are provided as gridded raster files with an approximately 5-meter spatial resolution and aligned with the original UAVSAR footprints. Composite mosaics that aggregate these UAVSAR scenes by region and day of acquisition, if applicable, are also provided. Classifications in all regions are provided as both preliminary 13-class versions and final 5-class versions.
Quantitative Assessment of Stream and River Physical Habitat Condition
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The 4 resource surveys (coastal, rivers and streams, lakes and reservoirs, and wetlands) each have datasets covering the biological, chemical, physical habitat, hydrologic and watershed data. This dataset is associated with the following publication: Kaufmann, P., R.M. Hughes, S. Paulsen, D. Peck, C. Seeliger, T. Kincaid, and R. Mitchell. Physical Habitat in the Conterminous U.S. Streams and Rivers, Part 2: A Quantitative Assessment of Habitat Condition.. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 141: 109047, (2022).
Ross Lake Watershed, North Cascades National Park Service Complex, nrosswtshdg1.shp
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ArcGIS shapefile polygon that delineates the entire Ross Lake Watershed (in the US and Canada)
LBA Regional Freshwater Wetlands, 1-Degree (Stillwell-Soller et al.)
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This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10° N to 25° S, 30° to 85° W). The data are in ASCII GRID format.The global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values.More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf.LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.
Science to Inform Management of Floodplain Conservation Lands on the Middle Mississippi River
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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Middle Mississippi River, which simulated water surface elevations at cross sections spaced (<1 kilometer) to sufficiently characterize water surface profiles along an approximately 800 kilometer stretch upstream from the confluence with the Mississippi River over an 80-year record at a daily time step. To translate these water surface elevations to inundation depths, we subtracted a merged terrain model consisting of floodplain LIDAR and bathymetric surveys of the river channel. We completed these calculations for an 800 kilometer stretch of the Missouri River, spanning from Rulo, Nebraska to the river's confluence with the Mississippi River. Analyzed areas include the entirety of the Mississippi River floodplain, with the exception of the St. Louis metropolitan area in which analysis was constrained to currently unleveed areas only. This approach resulted in a 29,000+ day time series of inundation depths across the floodplain using grid cells with 30 meter spatial resolution. This dataset presents 14 metrics for each of two scenarios, one using a baseline timeseries of stages from the HEC-RAS simulation and one using a timeseries of stages adjusted to account for removal of existing levees from the floodplain. These metrics are calculated on a per pixel basis and encompass a variety of temporal criteria generally relevant to flora and fauna of interest to floodplain managers, including, for example, the average number of days inundated per year within a growing season. We also include the base elevation layer that we generated to calculate depth of inundation from interpolated water-surface elevations.
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