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To assess the current topography of tidal marsh at the study sites we conducted survey-grade global positioning system (GPS) surveys between 2009 and 2014 using a Leica RX1200 Real Time Kinematic (RTK) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK GPS network coverage (Padilla, Port Susan, Nisqually, Siletz, Bull Island, and Bandon), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Skokomish, Grays Harbor, and Willapa), rover positions were received in real time from a Leica GS10 antenna base station via radio link. At sites where we used the...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
Shapefile;
Tags: Bandon,
Bull Island,
Coos Bay,
Grays Harbor,
Nisqually,
We conducted vegetation surveys concurrently with elevation surveys at every fourth elevation point (~25% of the elevation points) (Figure 5). We visually assessed percent cover of all plant species within a 0.25 m2 quadrat, and recorded the average and maximum height (measured to the nearest centimeter) of each species. Total plant cover in a plot could exceed 100% due to vegetation layering. Vascular plant nomenclature generally follows Baldwin et al. (2012) and Cook et al. (2013). We located 69 tidal wetland species in 2,154 vegetation plots across the nine estuaries in the study. Common species included Carex lyngbyei, Sarcocornia perennis, Distichlis spicata, Deschampsia cespitosa, Juncus balticus and Potentilla...
To parameterize accretion for SLR models, we measured historic rates of mineral and organic matter accumulation at each site by collecting deep soil cores with a Russian peat borer. At each site, we obtained cores in each of three vegetation zones: low, medium, and high marsh. Two replicate cores were sampled from each station for a total of 6 cores per site (except Coos Bay where 7 cores were taken). Coring locations were determined by RTK GPS elevation and tidal inundation data. Transects for core sampling were determined in ArcGIS, using a digitial elevation model and site-specific tidal datums to choose station locations below MHW (low), between MHW and MHHW (mid), and above MHHW (high). Sediment cores were...
USGS Historical Quadrangle in GeoPDF.
USGS Historical Quadrangle in GeoPDF.
This dataset consists of raster geotiff outputs from modeling habitat change, marsh 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...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Ecology,
Land Use Change,
Nisqually,
Pierce County,
Thurston County,
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
Photogrammetrically Derived Digital Elevation Models of Mount Rainier Proglacial Areas, 1960 to 2017
This repository contains a suite of digital elevation models (DEMs), derived from aerial or satellite imagery, covering glacier and proglacial areas on Mount Rainier between 1960 and 2017. Data are available for the Emmons, Winthrop, Nisqually, and South Tahoma Glaciers and their associated proglacial areas. These data were used in Anderson and Shean (2021) to calculate DEMs of Difference (DoDs) and assess topographic change in these proglacial settings. Aerial lidar datasets used in that analysis are available through the Washington Department of Natural Resources lidar repository (https://lidarportal.dnr.wa.gov/). The DEMs stored here have been coregistered to the 2008 Mount Rainier aerial lidar dataset. Differencing...
Shapefiles Defining Areas of Analysis for Proglacial Sediment Studies on Mount Rainier, 1960 to 2017
This repository contains suites of shapefiles defining areas of analysis used in Anderson and Shean (2021). Three types of shapefiles are included, each bundled into a zip file: First, polygons delineating areas with elevation changes we judge to be overwhelmingly due to sediment motion (as opposed to snow or ice melt), used to calculate final volumes of change reported in Anderson and Shean (2021). File names indicate basin and DoD interval associated with a given polygon. Second, polygons defining areas used for averaging Landsat NDVI values. Third, regular valley-spanning cross sections used to calculate longitudinal profiles of the valley floors over time. Calculating the minimum elevation across these cross...
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