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This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River (LSFR) chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Fredericktown,
Little Saint Francis River,
Madison County,
Madison County Mines Superfund Site,
Missouri,
Semi-Permeable Membrane Devices (SPMDs) were deployed for approximately 2 weeks at Palmyra Atoll during October and November, 2008. SPMDs passively accumulate organic compounds from the aquatic enviroment, and are then analyzed for various organic compounds. The deployment date, reasons for selecting the particular site, and photograph numbers as links are indicated.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Pacific Ocean,
Palmyra Atoll,
U.S. Navy,
World War II,
contamination,
This data set includes a point cloud, digital surface model (DSM), and orthoimagery of the Fighter Strips at Palmyra Atoll, USA. Products were generated from aerial images collected in October 2016 using Unoccupied Aerial Systems (UAS, or "drones") with a Ricoh GRII digital camera. Imagery was processed using structure-from-motion photogrammetry that generates a three dimensional point cloud (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point cloud data were processed to create a 6.3 cm resolution DSM (.tif) of the uppermost reflective surface (i.e., data have not been filtered for vegetation classes or height). Finally,...
This data set includes a point cloud, digital surface model (DSM), and orthoimagery of Sand Island at Palmyra Atoll, USA. Products were generated from aerial images collected in October 2016 using Unoccupied Aerial Systems (UAS, or "drones") with a Ricoh GRII digital camera. Imagery was processed using structure-from-motion photogrammetry that generates a three dimensional point cloud (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point cloud data were processed to create a 6.3 cm resolution DSM (.tif) of the uppermost reflective surface (i.e., data have not been filtered for vegetation classes or height). Finally,...
Data set contains individual structures and use-areas identifiable from scanned images of 1944 hand-drawn map of buildings and facilities at Palmyra Atoll during World War II, at which time the atoll served as a training facility for the U.S. Navy. Scanned images were georeferenced against control points identifiable from 2007 QuickBird satellite imagery and on control points for which positional data were gathered during sampling in October and November 2008. Georeferenced image was then used to delineate individual structures and other areas as polygons. Attributes were taken from legend for 1944 map.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Pacific Ocean,
Palmyra Atoll,
U.S. Navy,
World War II,
contamination,
This data set includes geographic coordinates for both pre- and post-adjustment locations used to georectify orthoimagery and digital surface models derived from aerial imagery collected using unoccupied aerial systems (UAS) in October 2016. Georeferencing links are provided for each data type (color or multi-band imagery) and portion of the atoll sampled during different UAS missions. Orthoimagery and DSM derived from a given data set and area were georeferenced using the same set of points.
A high resolution digital surface model (.tif) of the Bluffton [Indiana] Native Habitat Waterway bottomland restoration site was generated to complement field vegetation data collected in 2015 and 2016. Aerial images were collected on 07 September, 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed using photogrammetry to generate a three dimensional point cloud that identifies pixels from multiple images representing the same object and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the site (6 cm resolution), representing the continuous surface of the uppermost reflective surface (i.e., data have not been...
The data provide location and data quality information for ground control points (GCP) deployed at Palmyra Atoll for acquisition of imagery using small unoccupied aerial systems (sUAS) in October 2016. Thales ProMark 3 handheld geographic positioning systems (GPS) were used as both a local base station and to record locations of individual GCPs, with occupancy times of approximately 30 minutes per GCP. Location data for GCPs were post-processed against base station data using Mobile Mapper Office software to yield local position accuracy of approximately 0.1 m.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Northern Line Islands,
Pacific Ocean,
Palmyra Atoll,
biota,
elevation,
This data set includes a point cloud, a digital surface model (DSM), and orthoimagery of the "Cookies" lagoon area and nearby islands at Palmyra Atoll, USA. Products were generated from aerial images collected in October 2016 using Unoccupied Aerial Systems (UAS, or "drones") with either a Ricoh GRII digital camera or a MicaSense Red Edge 5-band camera. Imagery was processed using structure-from-motion photogrammetry that generates a three dimensional point cloud (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point cloud data were processed to create a digital surface model (DSM; .tif) of the uppermost reflective surface...
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Point clouds, high resolution digital surface models (DSM), and high resolution orthoimagery of Palmyra Atoll, USA, were generated from aerial 3-color and 5-band imagery collected October 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed in sections corresponsing to flight areas using photogrammetry to generate three-dimensional point clouds (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point clouds for each section were processed to create DSMs (.tif) representing the continuous surface of the uppermost reflective surface (i.e., data have not been filtered for vegetation classes or height)....
To determine the progress of restoration, insect populations were sampled at four mitigation sites using walking butterfly transects and Malaise/pitfall insect traps. The data consists of date, time, type and placement of traps, as well as number and order of species found.
This data set includes tables providing location, environmental, vegetation, soils, and carbon sampling data collected in 2015 and 2016 at vegetation sampling units on restored areas and other habitats at sites in northeast Indiana, USA. "Sample_units.txt" provides location, environmental, soil physical and chemical properties for each sample location. "Subplot_ground_flora.txt" provides subplot estimates of cover for each ground flora species in each each subplot; "Plot_ground_flora.txt" provides plot-level estimates of cover for each ground flora species in each plot. "Woody_stems.txt" provides diameter at breast height measurements and height estimates for woody species with measurable diameters at 1.4 m. "Downed_wood_less_than_3_in_diameter.txt"...
High resolution aerial imagery of the Bluffton [Indiana] Native Habitat Waterway bottomland restoration site was used to generate 3D products and orthoimagery to document the condition of bottomland forest restorations planted between 2002 and 2009 and to complement field vegetation data collected in 2015 and 2016. Aerial images were collected on 07 September, 2016 using Unoccupied Aerial Systems (UAS, or "drones"). Data were processed using photogrammetry to generate a three dimensional point cloud that identifies pixels from multiple images representing the same object and calculates the x, y, and z coordinates of that object/pixel. The point cloud was processed to create a digital surface model of the site (6...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bluffton,
Indiana,
USGS Science Data Catalog (SDC),
Wells County,
elevation,
Soils and organismal tissue from known and potential sources of contamination at Palmyra Atoll were measured for concentrations of 13 elements using a hand-held X-Ray Flourometer (XRF). Measured elements include; Lead (PB), Arsenic (As), Cobalt (Co), Cromium (Cr), Copper (Cu), Antimony (Sb), Iron (Fe), Titanium (Ti), Zinc (Zn), Nickel (Ni), Manganese (Mn), Sulphur (S) and Phosphorous (P). Concentrations of other elements were excluded because they were below the limit of detection or were sporadically detected; these include Tin (Sn), Cadmium (Cd), Silver (Ag), Strontium (Sr), Ruthenium (Rb), Selenium (Se), Mercury (Hg), Vanadium (V), Scantium (Sc), Calcium (Ca), Potassium (K), and Chlorine (Cl). Attributes for...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Pacific Ocean,
Palmyra Atoll,
U.S. Navy,
World War II,
contamination,
Deposits of lead (Pb) and other metals in southeastern Missouri, USA have been exploited since the 1700s. Metal contamination of fish and other aquatic biota, alteration of fish and invertebrate communities, and public health advisories against human consumption of Pb-contaminated fish have resulted. The Little Saint Francis River (LFSR) and its tributaries, which drain the mining-affected areas of Madison County, is inhabited by the St. Francis River crayfish (Faxonius quadruncus; formerly Orconectes quadruncus), an endemic species that has been petitioned for Federal listing as an endangered species. Crayfish population density surveys and in-situ toxicity tests with laboratory-reared F. quadruncus were conducted...
This data set includes a point cloud, digital surface model (DSM), and orthoimagery of Lesley, Dudley, and Ainsley Islands at Palmyra Atoll, USA. Products were generated from aerial images collected in October 2016 using Unoccupied Aerial Systems (UAS, or "drones") with a Ricoh GRII digital camera. Imagery was processed using structure-from-motion photogrammetry that generates a three dimensional point cloud (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point cloud data were processed to create a 6.5 cm resolution DSM (.tif) of the uppermost reflective surface (i.e., data have not been filtered for vegetation classes...
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
Abstract (from Springer): Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. In this paper, we present projections of future fire probability for the southcentral USA using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM). Future fire probability is projected to both increase and decrease across the study region of Oklahoma, New Mexico, and Texas. Among all end-of-century projections, change in fire probabilities (CFPs) range from − 51 to + 240%. Greatest absolute increases in fire probability are shown for areas within the range of approximately 75 to 160 cm mean annual precipitation (MAP), regardless of climate model. Although...
Categories: Publication;
Types: Citation;
Tags: Drought, Fire and Extreme Weather,
Fire,
Plants,
South Central CASC,
Wildlife and Plants
This data set includes a point cloud, digital surface model (DSM), and orthoimagery of the "Far East" lagoon area and nearby islands at Palmyra Atoll, USA. Products were generated from aerial images collected in October 2016 using Unoccupied Aerial Systems (UAS, or "drones") with a Ricoh GRII digital camera. Imagery was processed using structure-from-motion photogrammetry that generates a three dimensional point cloud (.las) by identifying pixels from multiple images representing the same object and calculating the x, y, and z coordinates of that object/pixel. Point cloud data were processed to create a 6.3 cm resolution DSM (.tif) of the uppermost reflective surface (i.e., data have not been filtered for vegetation...
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