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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.
Aerial imagery for the Upper Mississippi River System (UMRS) Navigational Pool 5 drawdown follow-up was collected in true color (TC) in August of 2015 at 6”/pixel using a mapping-grade Applanix DSS 439 digital aerial camera. All TC aerial images were orthorectified, mosaicked, and compressed into a JPEG2000-format image. The TC aerial images were interpreted and automated using a genus-level 150-class Long Term Resource Monitoring (LTRM) vegetation classification. The 2015 vegetation database was prepared by or under the supervision of competent and trained professional staff using documented standard operated procedures.
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS).
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
The objective of this work is to delineate areas in the Upper Mississippi River System where the combined effects of water clarity and water level fluctuation conditions are not limiting the establishment and persistence of submersed aquatic vegetation. We note that other factors, such as herbivory or high current velocity may actively prevent establishment of submersed aquatic vegetation in areas of the Upper Mississippi River System, and that this analysis is based on physical constraints imposed by water clarity and water level fluctuation only. Total suspended solids information was collected by the Upper Mississippi River Restoration program, and water level information was collected by the United State Army...
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This data set includes bi-monthly data on submerged aquatic vegetation species composition, percent cover, above and below ground biomass and environmental data at coastal sites across the fresh to saline gradient in Barataria Bay, LA. This project was co-funded by the South Central Climate Adaptation Science Center and the Gulf Coast Prairie and the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperatives. An alternate reference to this product can be found here.
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The USGS developed the second in a series of informative spatial distribution datasets of submersed aquatic vegetation (SAV) in the eastern basin of Lake Erie. The second dataset was developed by object-based image analysis of high-resolution imagery (US waters < 6 meters deep) collected during peak biomass in 2018 to allow assessments of changes in SAV distribution. Assessing SAV abundance may contribute to inform the long-term impacts of Grass Carp, Common Carp, eutrophication, wind fetch and sedimentation on vegetation communities throughout Lake Erie and the impact these stressors may have on other organisms in the ecosystem. These data may also help inform the deployment of toxic bait deployments targeting...
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Note: An error was discovered in the BenthicBiomas Table, mostly in designation of BDLs and zeros. Data are undergoing further QC and the corrected dataset will be posted soon. This dataset records Cladophora and associated submerged aquatic vegetation (SAV) biomass collected approximately monthly during the growing season of 2018 at stations located along the U.S. shoreline of Lakes Michigan, Huron, Erie, and Ontario. It also records a variety of supporting data collected at Cladophora measurement stations. These supporting data include: - seasonal time series of light, currents, wave action, temperature, specific conductivity, turbidity, pH, phycocyanin, chlorophyll, and dissolved oxygen from moored sensors...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...


map background search result map search result map Aquatic Vegetation along the Natchez Trace Parkway 2004 Imagery 2015 Pool 5 Drawdown Land Cover/Land Use Data Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Cottonwood Lake Study Area-Wetland Vegetation Zones-1986 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Lake Erie, Western Basin Aquatic Vegetation data Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018 UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 04 orthorgb100mp_20200826_125106_386_63091_31996 - - through - - orthorgb100mp_20200826_131324_604_73059_32085 UMRR LTRM 2020 4-Band Aerial Imagery Mosaic - Mississippi River Pool 13 orthorgb100mp_20200811_102429_556_20307_22651 - - through - - orthorgb100mp_20200811_110026_427_36995_22800 orthorgb100mp_20200811_110036_441_37107_22801 - - through - - orthorgb100mp_20200811_112156_692_45955_22880 orthorgb100mp_20200811_112204_364_46067_22881 - - through - - orthorgb100mp_20200811_112602_356_48531_22903 UMRR LTRM 2020 4-Band Aerial Imagery Mosaic - Mississippi River Pool 08 orthorgb100mp_20200822_110812_672_23891_29596 - - through - - orthorgb100mp_20200822_112953_572_37724_29720 orthorgb100mp_20200818_110124_058_18963_26806 - - through - - orthorgb100mp_20200818_113744_700_28931_26895 Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Cottonwood Lake Study Area-Wetland Vegetation Zones-1975 Cottonwood Lake Study Area-Wetland Vegetation Zones-1986 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 2015 Pool 5 Drawdown Land Cover/Land Use Data UMRR LTRM 2020 4-Band Aerial Imagery Mosaic - Mississippi River Pool 08 orthorgb100mp_20200822_110812_672_23891_29596 - - through - - orthorgb100mp_20200822_112953_572_37724_29720 orthorgb100mp_20200811_102429_556_20307_22651 - - through - - orthorgb100mp_20200811_110026_427_36995_22800 orthorgb100mp_20200811_110036_441_37107_22801 - - through - - orthorgb100mp_20200811_112156_692_45955_22880 orthorgb100mp_20200811_112204_364_46067_22881 - - through - - orthorgb100mp_20200811_112602_356_48531_22903 UMRR LTRM 2020 4-Band Aerial Imagery Mosaic - Mississippi River Pool 13 UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 04 orthorgb100mp_20200818_110124_058_18963_26806 - - through - - orthorgb100mp_20200818_113744_700_28931_26895 orthorgb100mp_20200826_125106_386_63091_31996 - - through - - orthorgb100mp_20200826_131324_604_73059_32085 Lake Erie, Western Basin Aquatic Vegetation data Object-Based Image Analysis Detection of Aquatic Vegetation, Lake Erie, Eastern Basin, 2018 Aquatic Vegetation along the Natchez Trace Parkway 2004 Submerged aquatic vegetation and environmental data along a salinity gradient in Barataria Bay, Louisiana (2015) Predicted number of years from 1993 - 2014 with conditions suitable for submersed aquatic vegetation based on light availability and water level fluctuations for the Upper Mississippi River System (lower submersed aquatic vegetation boundary elevation scenario) Cladophora biomass and supporting data collected in the Great Lakes, 2018 (ver. 1.1, September 2020) Imagery