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Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated ratios and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated ratio, its standard...
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
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The dataset presented here represents a circa 1995 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset, refer to USGS SIM 3381.
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated ratios and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated ratio, its standard...
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated ratios and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated ratio, its standard...
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
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The dataset presented here represents a circa 1990 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset, refer to USGS SIM 3381.
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Coastal Louisiana wetlands are one of the most critically threatened environments in the United States. These wetlands are in peril because Louisiana currently experiences greater coastal wetland loss than all other States in the contiguous United States combined. The datasets presented here were utilized in a larger effort to quantify landscape changes from 1932 to 2016. Analyses show that coastal Louisiana has experienced a net change in land area of approximately -4,833 square kilometers (modeled estimate: -5,197 +/- 443 square kilometers) from 1932 to 2016. This net change in land area amounts to a decrease of approximately 25 percent of the 1932 land area. Previous studies have presented linear rates of change...
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The dataset presented here represents a circa 2009 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset, refer to USGS SIM 3381.
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The dataset presented here represents a circa 2006 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016. The dataset contains two categories, land and water. For the purposes of this effort, land includes areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water. For additional information regarding this dataset, refer to USGS SIM 3381.
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated ratios and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated ratio, its standard...
Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated ratios and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated ratio, its standard...
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of wetland change area. The datasets are summarized by 10-digit Hydrologic Unit Code (HUC10), and land area change through time is fit using a penalized regression smooth spline. The trends are therefore generalized in time and are intended to present coarse scale observations of trends in wetland area change.
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Coastal Louisiana wetlands are one of the most critically threatened environments in the United States. These wetlands are in peril because Louisiana currently experiences greater coastal wetland loss than all other States in the contiguous United States combined. The analyses of landscape change presented here have utilized historical surveys, aerial, and satellite data to quantify landscape changes from 1932 to 2016. Analyses show that coastal Louisiana has experienced a net change in land area of approximately -4,833 square kilometers (modeled estimate: -5,197 +/- 443 square kilometers) from 1932 to 2016. This net change in land area amounts to a decrease of approximately 25 percent of the 1932 land area. Previous...
These datasets were created from high-resolution (1-m) datasets representing median conditions during a 2014-2019 time period. These datasets used National Agricultural Inventory Program (NAIP) imagery, as well as Sentinel-2 satellite imagery, to estimate the fractional composition of unvegetated, vegetated, and water in each pixel. Random samples from these high resolution datasets were used to inform calibration and validation of the moderate resolution (30-m) Landsat datasets. To facilitate comparability with the Landsat datasets, these data were aggregated up to 30-m resolution.


map background search result map search result map Land area change in Coastal Louisiana (1932 to 2016) - persistent land change spatial data Land area in coastal Louisiana (1932 to 2016) - land area spatial data - multi-date composites for specific years Circa 1990 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 1995 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 2006 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 2009 Land Area in Coastal Louisiana - Spatial Data - Landsat TM An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2015 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Gulf of Mexico Coast - 2015 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Pacific Coast - 2017 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2018 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Pacific Coast - 2016 A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the conterminous United States, 2014-2019 used for calibration and validation of Landsat based datasets L5_1990_GOM_Fractional_Land_FAV_SAV_Water L5_1991_GOM_Fractional_Land_FAV_SAV_Water L5_1992_GOM_Fractional_Land_FAV_SAV_Water L5_1996_GOM_Fractional_Land_FAV_SAV_Water L5_2001_GOM_Fractional_Land_FAV_SAV_Water L5_2004_GOM_Fractional_Land_FAV_SAV_Water L5_2008_GOM_Fractional_Land_FAV_SAV_Water_pre_Hurricanes_Gustav_Ike L5_2008_GOM_Fractional_Land_FAV_SAV_Water_post_Hurricanes_Gustav_Ike Circa 1990 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 1995 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 2006 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Circa 2009 Land Area in Coastal Louisiana - Spatial Data - Landsat TM Land area in coastal Louisiana (1932 to 2016) - land area spatial data - multi-date composites for specific years Land area change in Coastal Louisiana (1932 to 2016) - persistent land change spatial data An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Pacific Coast - 2017 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Pacific Coast - 2016 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Gulf of Mexico Coast - 2015 L5_1990_GOM_Fractional_Land_FAV_SAV_Water L5_1991_GOM_Fractional_Land_FAV_SAV_Water L5_1992_GOM_Fractional_Land_FAV_SAV_Water L5_1996_GOM_Fractional_Land_FAV_SAV_Water L5_2001_GOM_Fractional_Land_FAV_SAV_Water L5_2004_GOM_Fractional_Land_FAV_SAV_Water L5_2008_GOM_Fractional_Land_FAV_SAV_Water_pre_Hurricanes_Gustav_Ike L5_2008_GOM_Fractional_Land_FAV_SAV_Water_post_Hurricanes_Gustav_Ike An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2015 An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast - 2018 A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the conterminous United States, 2014-2019 used for calibration and validation of Landsat based datasets