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Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States Note: This dataset has been revised and superseded by version 2.0, available here: https://doi.org/10.5066/P90PG34S. Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions:... Tags: C-band synthetic aperture radar, Cape Cod, Chesapeake Bay, Ecology, National greenhouse gas inventory, All tags... Puget Sound, Remote Sensing, Remote sensing, San Francisco Bay, St Mary Parish, Terrebonne Parish, The Everglades, aboveground carbon stocks, multispectral imagery, plant biomass, plant functional type, tidal marsh biomass, Fewer tags Model Output Tabular Summaries for Central Valley Water and Land Use Futures: Land Use Change, Flooded Area, and Flooded Habitat Change To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland waterbird habitat based on the State’s most recent climate and land use projections (Wilson et al. 2021).The USGS Western Geographic Science Center and Point Blue Conservation Science modeled a Business-as-Usual scenario plus the four scenarios developed for the Central Valley Landscape Conservation Project, which diverged along two key themes: water availability and management for conservation. Scenarios varied by climate projection (hot and wet vs. warm and dry) and management priorities (wetland restoration rate, crop... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Central Valley of California, USGS Science Data Catalog (SDC), land use/land cover change, water management and drought, All tags... waterbirds, wetland, Fewer tags Projected future habitat of coastal wetlands in the Nisqually River Delta, Washington This dataset consists of raster geotiff outputs from modeling vertical accretion and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-year increments for 100 years for five amounts of sea-level rise, three amounts of suspended sediment concentrations, and two alternative configurations of the U.S. Interstate-5 causeway as it crosses the Nisqually River to either prevent or allow inland habitat migration (a total of 30 scenarios). The full methods and results are described in detail... Tags: Brackish Marsh, Emergent Tidal Wetland, Estuarine Coastal, Freshwater Tidal Marsh, High Salt Marsh, All tags... Low and Intermediate Salt Marsh, NWCASC, Nisqually, Northwest Climate Adaptation Science Center, Pierce, Thurston, Tidal Forest/Woodland, U.S. Geological Survey, USGS, Vegetated Tidal Flats, WGSC, Washington, Washington, Western Geographic Science Center, effects of climate change, Fewer tags Peak Biomass Carbon in Tidal Herbaceous Wetlands of the Conterminous United States This dataset provides maps of biomass carbon (C) in gC/m2 of coastal herbaceous wetlands at a resolution of 30 m across the conterminous United States (CONUS) for 2015. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biological Productivity, Biomass, Blue Carbon, Carbon Sink, Remote Sensing, All tags... United States, Fewer tags Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time... Tags: California, Central Valley, Central Valley of California, Ecology, Emergent Vegetation, All tags... Geography, LANDSAT, LANDSAT 8, Land Use Change, Landscape, Planet, Remote Sensing, Sacramento, San Joaquin, USGS Science Data Catalog (SDC), Wetlands, biota, birds, environment, habitats, image collections, migratory birds, multispectral imaging, remote sensing, satellite imagery, shore birds, wetland ecosystems, Fewer tags Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices.... Tags: California, Central Valley, Ecology, Environmental Health, Geography, All tags... Information Sciences, Remote Sensing, Sacramento, San Joaquin, USGS Science Data Catalog (SDC), Water Resources, Wildlife Biology, biota, environment, habitats, image collections, multispectral imaging, remote sensing, wetland ecosystems, Fewer tags Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the... Tags: California, Central Valley, Sacramento, San Joaquin, biota, All tags... environment, habitats, image collections, multispectral imaging, remote sensing, wetland ecosystems, Fewer tags State Class Spreadsheet (Area of Land in Each Class per Year, per Scenario) This spreadsheet dataset (.csv file) contains annual land-use and land cover area in square kilometers (km2) by scenario, timestep, WEAP hydrologic zone, and 4 sub-regions within the broader California Central Valley, modeled using the LUCAS ST-Sim for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These... Categories: Data; Tags: California, California Valley, agriculture, boundaries, climatologyMeteorologyAtmosphere, All tags... environment, farming, geoscientificInformation, land use and land cover, location, planningCadastre, wetlands, Fewer tags Sediment mobility and river corridor assessment for a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA - vegetation mapping 2005 The USGS, in cooperation with the U.S. Fish and Wildlife Service and the National Fish and Wildlife Foundation, compiled a map of geomorphic and vegetation features along a 140-km segment of the main stem Klamath River below Iron Gate Dam, CA. Flood disturbance within the study reach is produced by the combined effect of natural flows and reservoir releases. The physical response of the Klamath River to flood disturbance is strongly dependent upon sediment storage in bars and floodplains. The map provides a summary of channel and riparian vegetation classes that were used to estimate vegetation change over time due to sediment flow and storage in bars and floodplains. Study results will be useful for interpreting... Tags: California, GIS, Klamath River, Siskiyou County, environment, All tags... remote sensing, vegetation mapping, Fewer tags Sediment mobility and river corridor assessment for a 140-km segment of the mainstem Klamath River below Iron Gate Dam, CA - vegetation mapping 2009 The USGS, in cooperation with the U.S. Fish and Wildlife Service and the National Fish and Wildlife Foundation, compiled a map of geomorphic and vegetation features along a 140-km segment of the main stem Klamath River below Iron Gate Dam, CA. Flood disturbance within the study reach is produced by the combined effect of natural flows and reservoir releases. The physical response of the Klamath River to flood disturbance is strongly dependent upon sediment storage in bars and floodplains. The map provides a summary of channel and riparian vegetation classes that were used to estimate vegetation change over time due to sediment flow and storage in bars and floodplains. Study results will be useful for interpreting... Tags: California, GIS, Klamath River, Siskiyou County, environment, All tags... remote sensing, vegetation mapping, Fewer tags Forecasting tidal marsh elevation and habitat change through fusion of Earth observations and a process model Reducing uncertainty in data inputs at relevant spatial scales can improve tidal marsh forecasting models, and their usefulness in coastal climate change adaptation decisions. The Marsh Equilibrium Model (MEM), a one-dimensional mechanistic elevation model, incorporates feedbacks of organic and inorganic inputs to project elevations under sea-level rise scenarios. We tested the feasibility of deriving two key MEM inputs—average annual suspended sediment concentration (SSC) and aboveground peak biomass—from remote sensing data in order to apply MEM across a broader geographic region. We analyzed the precision and representativeness (spatial distribution) of these remote sensing inputs to improve understanding of... Categories: Publication; Types: Journal Citation; Tags: Earth observations, Habitat change, Marsh elevation, Modeling, Process model Wetland Moist Soil Seed Productivity Maps for the Central Valley of California 2007 - 2017 We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. For each of the Moist Soil Seed maps from 2007 to 2017, we mapped productivity of swamp timothy where swamp timothy was mapped according to a multiple regression of the average log seed head weight per Landsat pixel to Landsat derived values for green chlorophyll index (NIR/green - 1), swir1 reflectance, red green simple ratio (red/green) and SSURGO derived percent clay (STprod). For areas mapped as watergrass, we mapped... Tags: California, Central Valley, Sacramento, San Joaquin, biota, All tags... environment, habitats, image collections, multispectral imaging, remote sensing, wetland ecosystems, Fewer tags Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley This dataset consists of raster geotiff and tabular outputs of annual map projections of land use and land cover for the California Central Valley for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water, poor management), California Dreamin’ (DREAM; high water, good management), Central Valley Dustbowl (DUST; low water, poor management), and Everyone Equally Miserable (EEM; low water, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management activities, and habitat restoration... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, California Valley, Ecology, Land Use Change, Land Use Change, All tags... USGS Science Data Catalog (SDC), Water Resources, Water Resources, agriculture, boundaries, climatologyMeteorologyAtmosphere, environment, farming, geoscientificInformation, land use and land cover, location, planningCadastre, wetlands, Fewer tags Integrated climate and land use change scenarios for California rangeland ecosystem services: wildlife habitat, soil carbon, and water supply We quantified baseline and projected change in wildlife habitat, soil organic carbon (SOC), and water supply (recharge and runoff). For six case study watersheds we quantified the interactions of future development and changing climate on recharge, runoff and streamflow, and precipitation thresholds where dominant watershed hydrological processes shift through analysis of covariance. Categories: Publication; Types: Journal Citation; Tags: California, Climate change adaption, Downscaled global climate models, Ecosystem services, Grassland, All tags... Land use and Land cover, Rangeland, Scenarios, Soil carbon, Water supply, Fewer tags State Class Rasters (Land Use and Land Cover per Year and Scenario) This dataset consists of raster geotiff outputs of annual map projections of land use and land cover for the California Central Valley for the period 2011-2101 across 5 future scenarios. Four of the scenarios were developed as part of the Central Valley Landscape Conservation Project. The 4 original scenarios include a Bad-Business-As-Usual (BBAU; high water availability, poor management), California Dreamin’ (DREAM; high water availability, good management), Central Valley Dustbowl (DUST; low water availability, poor management), and Everyone Equally Miserable (EEM; low water availability, good management). These scenarios represent alternative plausible futures, capturing a range of climate variability, land management... Tags: California, California Valley, agriculture, boundaries, climatologyMeteorologyAtmosphere, All tags... environment, farming, geoscientificInformation, land use and land cover, location, planningCadastre, wetlands, Fewer tags Tidal marsh biomass field plot and remote sensing datasets for six regions in the conterminous United States (ver. 2.0, June 2020) Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA.... Categories: Data, Data Release - Revised; Tags: C-band synthetic aperture radar, Cape Cod, Carbon sequestration, Chesapeake Bay, Everglades National Park, All tags... National greenhouse gas inventory, Puget Sound, San Francisco Bay, St Mary Parish, Terrebonne Parish, USGS Science Data Catalog (SDC), aboveground carbon stocks, multispectral imagery, plant functional type, tidal marsh biomass, wetlands, Fewer tags Biomass Carbon Stock and Net Primary Productivity in Tidal Herbaceous Wetlands of the Conterminous United States Product Description: This dataset provides maps of peak biomass carbon stock (C) in gC/m2 and net primary productivity (NPP) in gC/m2/yr of coastal herbaceous wetlands at a resolution of 30 m across the conterminous United States (CONUS) for 2015. Aboveground, belowground, and total peak biomass C and NPP are provided for tidal herbaceous wetlands. Data is presented for 1. all herbaceous/emergent marshes, 2. palustrine emergent marshes and 3. estuarine emergent marshes. Background: Spatial assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Biological Productivity, Biomass, Blue Carbon, Carbon Sink, Ecology, All tags... Remote Sensing, USGS Science Data Catalog (SDC), United States, Fewer tags Baseline High Resolution Land Cover Map for the Mainstem Klamath River Corridor Downstream of Iron Gate Dam, Klamath River, CA, 2018 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: California, Canopy Height Model, Dam Removal, Geomorphology, Hydrology, All tags... Image Segmentation, Klamath River, Remote Sensing, USGS Science Data Catalog (SDC), Vegetation Map, biota, Fewer tags Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington This USGS Data Release represents geospatial and tabular data for the Nisqually River Delta historical habitat mapping. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 9 separate items: 1. Forest Change (raster dataset) 2. Forest Type Change (raster dataset) 3. Functional Pathway Change (raster dataset) 4. 1957 Habitat Map (raster dataset) 5. 1980 Habitat Map (raster dataset) 6. 2015 Habitat Map (raster dataset) 7. 1980 Species Map (raster dataset) 8. 2015 Species Map (raster dataset) 9. Wetland Change (raster dataset) These data support... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Billy Frank Jr. Nisqually National Wildlife Refuge, Ecology, Geography, Land Use Change, Remote Sensing, All tags... USGS Science Data Catalog (SDC), aerial photography, climate change, remote sensing, watershed management, wetland ecosystems, Fewer tags Projected future elevation change of coastal wetlands in the Nisqually River Delta, Washington This dataset consists of raster geotiff outputs from modeling vertical accretion and carbon accumulation in the Nisqually River Delta, Washington, USA. These rasters represent projections of future habitat type, change in surface elevation above Mean Sea Level, and total sediment carbon accumulation since 2011 in coastal wetland habitats. Projections were generated in 20-year increments for 100 years for five amounts of sea-level rise, three amounts of suspended sediment concentrations, and two alternative configurations of the U.S. Interstate-5 causeway as it crosses the Nisqually River to either prevent or allow inland habitat migration (a total of 30 scenarios). The full methods and results are described in detail... Tags: Brackish Marsh, Emergent Tidal Wetland, Estuarine Coastal, Freshwater Tidal Marsh, High Salt Marsh, All tags... Low and Intermediate Salt Marsh, NWCASC, Nisqually, Northwest Climate Adaptation Science Center, Pierce, Thurston, Tidal Forest/Woodland, U.S. Geological Survey, USGS, Vegetated Tidal Flats, WGSC, Washington, Washington, Western Geographic Science Center, effects of climate change, Fewer tags 1 2 »