Skip to main content
Advanced Search

Filters: Date Range: {"choice":"year"} (X) > Types: Downloadable (X)

3,087 results (308ms)   

Filters
Contacts (Less)
View Results as: JSON ATOM CSV
Development of oil and gas wells leads to the destruction and fragmentation of natural habitat. Oil and gas wells also increase noise levels which has been shown to be detrimental to some wildlife species. Therefore, the density of oil and gas wells in the western United States was modeled based on data obtained from the National Oil and Gas Assessment.
thumbnail
This data layer represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' Priority Resource (PR). The potential CT shown here is the protected/managed area. These layers were created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving a conservation success for that CT. The data layer available for evaluating the area under management and/or...
thumbnail
This data layer represents a tested potential Conservation Target (CT) for PFLCC's Priority Resource (PR): Coastal Uplands. The suggested potential CT was Species Richness. Species Richness is one component of biodiversity, an important aspect of landscape conservation. Biodiversity is important for maintaining the balance of natural communities and ecosystems upon which humans also depend. Florida has a high level of species diversity and endemism but the state is experiencing threats to its natural heritage from a variety of sources. The data used in this analysis in addition to the Priority Resource layer is the Species Richness layer from the CLIP 4.0 geodatabase. The core layer of the geodatabase is from the...
thumbnail
This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2.
Observations and subtle shifts of vegetation communities in western Lake Erie have USGS researchers concerned about the potential for Grass Carp to alter these vegetation communities. Broad-scale surveys of vegetation using remote sensing and GIS mapping, coupled with on-the-ground samples in key locations will permit assessment of the effect Grass Carp may have already had on aquatic vegetation communities and establish baseline conditions for assessing future effects. Existing aerial imagery was used with object-based image analysis to detect and map aquatic vegetation in the western basin of Lake Erie.
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
thumbnail
These data represent a potential Conservation Target for the Working Lands Priority Resource of the PFLCC. The potential Conservation Target is the connectivity of Working Lands. The Florida Greenways layer from CLIP 4.0 provides a context for Connectivity with natural habitats that provide connections between large natural areas in Florida. For additional metadata on CLIP 4.0, see the gallery of the same name in the Peninsular Florida LCC Community. The data set shown depicts the Greenways priorities within the Working Lands Priority Resource only. The Working Lands Priority Resource raster layer was used as a mask to extract the Greenways priority values for pattern analysis.
thumbnail
As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
thumbnail
The data set includes delineation of sampling strata for the six study reaches of the UMRR Program’s LTRM element. Separate strata coverages exist for each of the three monitoring components (fish, vegetation, and water quality) to meet the differing sampling needs among components. Generally, the sampling strata consist of main channel, side channel, backwater, and impounded areas. The fish component further delineates a “shoreline” portion of the strata to be used for sampling gears deployed only along the shoreline. The data are raster in origin, with the center of each pixel representing the sampling location. Cell size is typically 50 meters, although several water quality strata are at 200 meter cell size.
thumbnail
Separate data for floodplain elevation and bathymetry were collected on the Upper Mississippi River System (UMRS) by the US Army Corps of Engineers (USACE), Upper Mississippi River Restoration (UMRR) Program. While many information needs can be met by using these data separately, in many cases seamless elevation data across the river and its floodplain are needed. This seamless elevation surface was generated by merging lidar (i.e., floodplain elevation) and bathymetry data. Merging the data required special processing in the areas of transition between the two sources of data.
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
Aerial photographs for Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial photographs for Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. All CIR aerial photos were orthorectified, mosaicked, compressed, and served via the UMESC Internet site. The CIR aerial photos were interpreted and automated using a 31-class LTRMP vegetation classification. The 2010/11 LCU databases were prepared by or under the supervision...
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) has created high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:15,000-scale color infrared aerial photos. These data have been used to create a variety of products, one of which is a data set used to classify aquatic areas. The 1989 and 1991 aquatic areas data sets were created by first generalizing the available land cover/use data into a land/water data set, then reinterpreting the aerial photography within the areas classified as water to determine the type of aquatic area. The geographic extent of the UMRS is the Mississippi River floodplain from Cairo, IL to Minneapolis, MN and the Illinois...
thumbnail
This map represents a potential Conservation Target (CT) for PFLCC's 'Hardwood Forested Uplands' (HFU) Priority Resource (PR). The potential CT is Landscape Configuration. This layer was created for an initial investigation of potential CT's suggested at brainstorming workshops. The initial investigation entails locating available datasets to address the suggested CT as closely as possible and performing minimal analyses to determine their usefulness. The final set of CT's and their associated datasets will be chosen after targets (e.g., endpoints) are established as a threshold for achieving conservation success for that CT. The available data layer to address landscape configuration is CLIP 4.0 core data -- Landscape...


map background search result map search result map Proportion of All Sagebrush Species Land Cover (1-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Low and Black Sagebrush Land Cover (5-km scale) in the Wyoming Basins Ecoregional Assessment area Mixed Shrubland Land Cover in the Wyoming Basins Ecoregional Assessment area Oil and Gas Well Density in the Western United States Density of all roads (km/sq km) within a 5-km radius in the Wyoming Basins Ecoregional Assessment area UMRS LTRMP 2010/11 LCU Mapping -- Illinois River Marseillies Reach All Roads in the Western United States LTRM Water Quality Sampling Strata Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 UMRR Dresden Reach Topobathy UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint UMRR Mississippi River Navigation Pool 15 Bathymetry Footprint HFU Configuration HFU Protected Area Lake Erie, Western Basin Aquatic Vegetation data UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 20 CU Species Richness UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool Working Lands - Connectivity Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River UMRR Dresden Reach Topobathy UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Mississippi River Pool 20 UMRR Mississippi River Navigation Pool 14 Bathymetry Footprint UMRS LTRMP 2010/11 LCU Mapping -- Illinois River Marseillies Reach UMRR HNA-II 1989 Aquatic Areas - Upper Mississippi River System - Illinois River Lockport Pool Lake Erie, Western Basin Aquatic Vegetation data Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 LTRM Water Quality Sampling Strata HFU Protected Area HFU Configuration Working Lands - Connectivity CU Species Richness Proportion of All Sagebrush Species Land Cover (1-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Low and Black Sagebrush Land Cover (5-km scale) in the Wyoming Basins Ecoregional Assessment area Mixed Shrubland Land Cover in the Wyoming Basins Ecoregional Assessment area Density of all roads (km/sq km) within a 5-km radius in the Wyoming Basins Ecoregional Assessment area All Roads in the Western United States Oil and Gas Well Density in the Western United States