Folders: ROOT > ScienceBase Catalog > Upper Midwest Environmental Sciences Center (UMESC) ( Show direct descendants )
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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 collected in 1989. The data are available in two formats. The first used a detailed genus-level classification scheme and was used to classify Mississippi River Navigation Pools 4 through 26, the Open River between Grand Tower and River Mile 32, and the Peoria navigation Pool on the Illinois River. The second classification scheme was developed in 1998 in response to a scientific and programmatic review of the center's mapping projects. This classification scheme identifies plant communities...
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 collected in 1989. The data are available in two formats. The first used a detailed genus-level classification scheme and was used to classify Mississippi River Navigation Pools 4 through 26, the Open River between Grand Tower and River Mile 32, and the Peoria navigation Pool on the Illinois River. The second classification scheme was developed in 1998 in response to a scientific and programmatic review of the center's mapping projects. This classification scheme identifies plant communities...
This Python script creates a shapefile containing features that are deltas. Data inputs: LCU data for 1989, 2000, and 2010 for Pools 3 through 13 (https://doi.org/10.5066/F77M0771, F73X85X2, F77942QN); Aquatic Area Level 2 data for Pools 3 through 13 (http://dx.doi.org/10.5066/F7VD6WH8). Pre-script procedures: Setup a tool in an ArcMap toolbox to call the script. Change directory names as needed in script. Intersect the three LCU datasets for all pools. Critical processing steps of script: 1. Remap attributes into three LCU classes (0 = Salix and Wm, 1=land, 2=water). 2. Remap attributes into three change classes (0 = no change - terrestrial, 2 = no change - aquatic, 3 = change from aquatic to terrestrial)....
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 failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Illinois,
Missouri,
Navigational Pool 24,
canopy gap,
canopy height model,
The USGS Upper Midwest Environmental Sciences Center developed a Monarch Relevant Land Cover data set covering the area of Canada. We used the 2010 land cover data set produced by the tri-national North American Land Change Monitoring System (NALCMS) and supported by the Commission for Environmental Cooperation (CEC) that depicts year 2010 land cover across North America at 30-meter spatial resolution, and incorporated additional spatially-explicit information to develop this land cover map. Additional sources of information included 2004 railroad data provided by The Atlas of Canada and the CEC, 2017 roads data provided by Statistics Canada, 2017 protected areas data provided by the CEC, and 2016 Canada provincial/territory...
The Great River Environmental Action Team (GREAT) was a federal/state multi-agency cooperative program established in the late 1970's to evaluate current resource management practices and develop management strategies for the Upper Mississippi River (UMR). One of the problems facing the GREAT project was the lack of available information on many of the river's components. One project implemented by GREAT was the creation of a land cover/land use (LCU) database derived from color infrared aerial photography collected in 1975. Mississippi River Pools 3 through 10 were photographed at a scale of 1:9,600, and Lock and Dam 10 to the Ohio River were photographed at a scale of 1:24,000. The program's photo interpreters...
The Upper Mississippi River Restoration-Environmental Management Program (UMRR-EMP) partnered with the U.S. Fish and Wildlife Service (USFWS) Region 3 to collect 2011 digital color infrared (CIR) aerial photography of Pools 14 - Open River South, Mississippi River and Pools Dresden - Lockport, Illinois River at 16”/pixel using a mapping-grade Applanix DSS439 digital aerial camera. The photography shall be at a minimum accuracy of 5-10 meters and allow for the development of orthorectified photo mosaics by U.S. Geological Survey – Upper Midwest Environmental Sciences Center (USGS-UMESC) for all or portions of the coverage area. The flights occurred during times of peak vegetation biomass, typically from late August...
This data set is associated with an administrative report submitted to the U.S. Food and Drug Administration Center for Veterinary Medicine (CVM). The project goal was to determine the effects of hydrogen peroxide on the microflora of recirculating aquaculture systems (RAS). There are few aquaculture drugs approved for use in RAS and the CVM will evaluate findings from the study to determine if hydrogen peroxide would be safe to use in RAS.
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.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
La Grange,
Upper Mississippi River System,
bathymetry,
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.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Dresden Reach,
Illinois,
Illinois River,
Upper Mississippi River System,
bathymetry,
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.
Categories: Data,
Publication;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Mississippi River,
Navgation Pool 13,
Upper Mississippi River,
aquatic areas,
sampling strata
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 1989.
This data set consists of monthly averages of soil and litter properties. Rows are grouped in the following order: year, month, vegetation type, plot ID. Within a single month five plots were sampled within each of the 2 vegetation types (10 plots total). Columns F+ represent individual measurements.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Mississippi River,
Nitrogen cycling,
Pool 8,
USGS Science Data Catalog (SDC),
Upper Mississippi River,
This dataset consists of digital scans of color infrared aerial photography from the Upper Mississippi River System collected in 2000.
Categories: Data;
Types: Citation;
Tags: Illinois,
Illinois River,
Iowa,
Minnesota,
Mississippi River,
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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Iowa,
Minnesota,
Navigational Pool 8,
Wisconsin,
canopy gap,
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