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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 National Aerial Imagery Program (NAIP) dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LandUse/LandCover (LULC) categories. This process involved stitching together more reliable sources for specific categories to...
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Spatial data depicting marsh types (e.g. fresh, intermediate, brackish and saline) for the north-central Gulf of Mexico coast are inconsistent across the region, limiting the ability of conservation planners to model the current and future capacity of the coast to sustain priority species. The goal of this study was to (1) update the resolution of coastal Texas vegetation data to match that of Louisiana, Mississippi, and Alabama, and (2) update vegetation maps for the Texas through Alabama region using current Landsat Imagery. Creating consistent regional vegetation maps will enable scientists to model vegetation response to and potential impacts of future climate change.
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The dataset includes Land Use/Land Cover types throughout the Chenier Eco-Region in Southwest Louisiana. Using the 2015 NAIP dataset (1m) as the basemap, E-Cognition image objects were derived from the multiresolution segmentation algorithm at 75 and 250 segments. Attempts to refine the data training methods using E-cognition, to extrapolate automating categories of this information to the entire map resulted with exceedingly low accuracy. Therefore, a raster was produced by piecing together several data resources, which provide reliable data for specific LULC categories. This process involved stitching together more reliable sources for specific categories to apply to higher resolution (75) segmentation product....
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Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping...
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We characterized coastal wetland responses to flooding stress by measuring vegetation cover, wetland elevation and water elevation in healthy and degrading wetlands dominated by Spartina patens. Wetland elevation was measured using real-time kinematic survey methods. Vegetation cover was determined by visual estimation methods, and water elevation was measured using in situ continuous recorders. In addition to these local-scale responses, we also measured landscape-scale patterns of land and water aggregation or fragmentation using remotely sensed data (Jones et al., 2018). Associated products: Jones, W.R., Hartley, S.B., Stagg, C.L., and Osland, M.J. 2018. Land-water classification for selected sites in McFaddin...
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Climatic extremes are becoming more frequent with climate change and have the potential to cause major ecological shifts and ecosystem collapse. With the ecosystem collapse these normally healthy marshes fragment and convert to open water. Along the northern Gulf of Mexico, a coastal wetland in the San Bernard National Wildlife Refuge in Texas suffered significant and acute vegetation dieback following Hurricane Harvey in 2017. Using Uncrewed Aerial Systems (UAS) we acquired high resolution imagery to identify plant types that may correlate with elevation levels. Most plant species will fall into the succulents, graminoids, and Spartina alterniflora marsh types. These degraded marsh areas are classified into 5 categories:...
Collaborative landscape conservation planning is largely limited by the quality of spatial data which can be applied to decision support tools to inform conservation decisions. Conservation entities across the Western Gulf Coastal Plain are taking a collaborative, strategic, landscape scale approach to conservation planning. This effort encourages communication and implementation of restoration and habitat enhancement actions within water sheds. Land cover datasets available within this geography hinder the efficiency of such efforts due to low resolution quality and limited details associated with land use categories. In collaboration with the Texas Parks and Wildlife Department and the Gulf Coast Prairie Landscape...
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Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping...
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The Bureau of Ocean Energy Management (BOEM) researchers often require detailed information regarding emergent marsh vegetation types (i.e., fresh, intermediate, brackish, and saline) for modeling habitat capacities and mitigation. In response, the U.S. Geological Survey, in collaboration with the Bureau of Ocean Energy Management produced a detailed change classification of emergent marsh vegetation types in coastal Louisiana from 2007 and 2013. This study incorporates decision-tree analyses to classify emergent marsh vegetation types using two existing vegetation surveys and independent variables such as Landsat and high-resolution airborne imagery from 2007 and 2013, bare-earth digital elevation models based...
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The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
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The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
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To document current marsh conditions, imagery was acquired at 350 feet using unmanned aerial systems (UAS) for 6 separate study locations. Three Sites are healthy marsh and three sites are degraded marshes. For each study site, ground control markers were established and surveyed in using Real Time Kinematic (RTK) survey equipment. The imagery collected will be processed to produce a mosaics for each study site and analyzed to generate current land-water ratios. The land-water data will not only quantify how much marsh is being affected, but the data will also provide a spatial aspect as to where these degrading marsh fragmentations are occurring. The land-water data will be correlated with other data such as salinity,...
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Potential pollinator habitat was derived by ranking land use classifications and grassland quality based on ground truthing and remotely sensed features indicative of remnant prairie. High resolution (10m) land use data served as the basemap (Hartley et al 2017) from which most categories were identified. All known prairie remnants, prairie plantings, and clusters of mima mounds were delineated. Mima mounds were detected by deriving a slope at 1m scale with greater than 5% from high resolution LiDar data (3m). Mima mounds are indicative of areas in which the topsoil has not been significantly disturbed, and therefore have a higher potential to contain native prairie vegetation. Based on an in-depth literature review...
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This data release includes a file geodatabase with land cover maps for a 313-kilometer segment along the mainstem Klamath River corridor downstream from Iron Gate Dam, CA. The maps were derived from high-resolution (15cm) imagery and topobathymetric elevation data, collected by NV5 Geospatial (formerly QSI, Inc) and published on Open Topography (https://doi.org/10.5069/G9DN436N). Acquisition dates spanned 06/01/2018 to 06/14/2018. The area of interest was discretized into three zones and land cover maps were generated using geoprocessing tools, implemented in ArcMap 10.8.1, and image classification tools, implemented in Ecognition 10.2. The maps include six land cover classes: 1) trees, 2) shrubs, 3) grass, 4) bare...
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Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping...
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The northern Gulf of Mexico coast spans two major climate gradients and represents an excellent natural laboratory for developing climate-influenced ecological models. In this project, we used these zones of remarkable transition to develop macroclimate-based models for quantifying the regional responses of coastal wetland ecosystems to climate variation. In addition to providing important fish and wildlife habitat and supporting coastal food webs, these coastal wetlands provide many ecosystem goods and services including clean water, stable coastlines, food, recreational opportunities, and stored carbon. Our objective was to examine and forecast the effects of macroclimatic drivers on wetland ecosystem structure...
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Climatic extremes are becoming more frequent with climate change and have the potential to cause major ecological shifts and ecosystem collapse. Along the northern Gulf of Mexico, a coastal wetland in the San Bernard National Wildlife Refuge in Texas suffered significant and acute vegetation dieback following Hurricane Harvey in 2017. We identified plant zonal boundaries along an elevation gradient with drought-tolerant plant species, including succulents and graminoids, at higher elevations and flood-tolerant species, including Spartina alterniflora, at lower elevations. We measured mean canopy height for each species. Soil surface elevation was measured using Real-Time Kinematic (RTK) methods.
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During summer months, coastal Louisiana is plagued with floating aquatics that fill and block canals and small waterways causing trouble for boaters. This floating aquatic starts growing in the spring and dies off in late summer and early winter months. One natural predator of the Salvinia sp is the weevil that forages on the Salvinia and causes premature die-off. These weevils do exist naturally in the ecosystem, but this study will introduce the weevil to these salvinia sp aquatics in the early growing season in hopes of reducing the amount and thickness of these salvinia biomass. Thru the use of UAV's (Unmanned aerial vehicles), high resolution imagery will be acquired and classified to monitor the effect...
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Coastwide vegetation surveys have been conducted multiple times over the past 50 years (e.g., Chabreck and Linscombe 1968, 1978, 1988, 1997, 2001, and 2013) by the Louisiana Department of Wildlife and Fisheries (LDWF) in support of coastal management activities. The last survey was conducted in 2013 and was funded by the Louisiana Coastal Protection and Restoration Authority (CPRA) and the U.S. Geological Survey (USGS) as a part of the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) monitoring program. These surveys provide important data that have been utilized by federal, state, and local resource managers. The surveys provide information on the condition of Louisiana’s coastal marshes by mapping...
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Land-water data was derived from imagery acquired at 350 feet using unmanned aerial systems (UAS) for 6 separate study locations using the Ricoh GR II camera. Three sites are healthy marsh and three sites are degraded marshes. For each study site, ground control markers were established and surveyed in using Real Time Kinematic (RTK) survey equipment. The imagery collected has been processed to produce a land-water classification dataset for scientific research. The land-water data will not only quantify how much marsh is being affected, but the data will also provide a spatial aspect as to where these degrading marsh fragmentations are occurring. The land-water data will be correlated with other data such as salinity,...


map background search result map search result map Mapping Fresh, Intermediate, Brackish and Saline Marshes in the North Central Gulf of Mexico Coast to Inform Future Projections U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Vegetation Data Section 1 (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Landscape and Climate Data (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Soil Data (2013-2014) Delineation of marsh types and marsh type-change in Coastal Louisiana for 2007 and 2013 High resolution landcover for the Western Gulf Coastal Plain of Louisiana Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana Grassland quality and pollinator habitat potential in Southwest Louisiana UAS imagery acquisition for McFaddin NWR and J.D. Murphree WMA acquired fall 2017 Land-water classification for selected sites in McFaddin NWR and J.D. Murphree WMA Salvinia/weevil case study: Using drones to monitor weevil propagation in Salvinia aquatics (ver. 2.0, August 2023) Local and landscape-scale data describing patterns of coastal wetland loss in the Texas Chenier Plain, U.S.A., 2017-2018 Western Gulf Coastal Plain Louisiana Land Use and Land Cover ground truth observations from 2016 to 2017 Coastal wetland vegetation and elevation data characterizing a Sudden Vegetation Dieback event in San Bernard National Wildlife Refuge in 2019 Vegetation Types in Coastal Louisiana in 2021 (ver. 2.0, April 2023) Vegetation Types in Coastal Louisiana in 2021: Point Data Vegetation Types in Coastal Louisiana in 2021:  Polygon Data Vegetation Types in Coastal Louisiana in 2021: Raster Data Baseline High Resolution Land Cover Map for the Mainstem Klamath River Corridor Downstream of Iron Gate Dam, Klamath River, CA, 2018 San Bernard National Wildlife Refuge Texas: Using drone acquired 2019 imagery to classify sudden dieback vegetation in Coastal TX wetlands San Bernard National Wildlife Refuge Texas: Using drone acquired 2019 imagery to classify sudden dieback vegetation in Coastal TX wetlands Land-water classification for selected sites in McFaddin NWR and J.D. Murphree WMA Coastal wetland vegetation and elevation data characterizing a Sudden Vegetation Dieback event in San Bernard National Wildlife Refuge in 2019 UAS imagery acquisition for McFaddin NWR and J.D. Murphree WMA acquired fall 2017 Local and landscape-scale data describing patterns of coastal wetland loss in the Texas Chenier Plain, U.S.A., 2017-2018 Salvinia/weevil case study: Using drones to monitor weevil propagation in Salvinia aquatics (ver. 2.0, August 2023) Western Gulf Coastal Plain Louisiana Land Use and Land Cover ground truth observations from 2016 to 2017 Baseline High Resolution Land Cover Map for the Mainstem Klamath River Corridor Downstream of Iron Gate Dam, Klamath River, CA, 2018 Grassland quality and pollinator habitat potential in Southwest Louisiana Grassland priority rankings model for the Western Gulf Coastal Plain of Louisiana High resolution landcover for the Western Gulf Coastal Plain of Louisiana Vegetation Types in Coastal Louisiana in 2021 (ver. 2.0, April 2023) Vegetation Types in Coastal Louisiana in 2021: Point Data Vegetation Types in Coastal Louisiana in 2021:  Polygon Data Vegetation Types in Coastal Louisiana in 2021: Raster Data Mapping Fresh, Intermediate, Brackish and Saline Marshes in the North Central Gulf of Mexico Coast to Inform Future Projections Delineation of marsh types and marsh type-change in Coastal Louisiana for 2007 and 2013 U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Vegetation Data Section 1 (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Soil Data (2013-2014) U.S. Gulf of Mexico coast (TX, MS, AL, and FL) Macroclimate Landscape and Climate Data (2013-2014)