Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: Matthew A Struckhoff (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: CERC Data Managers (X)
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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,
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 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.
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,...
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,
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....
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...
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"...
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,
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...
This data set includes a point cloud, a digital surface model (DSM), and orthoimagery of the "Sixes" 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...
The data consists of date and time of use, activity and number of individuals visiting specific sites. This data was collected by using camera traps to monitor visitors of two mitigation areas that are being restored to riparian forests.
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,
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,
Three .csv files contain occurrence points (longitude and latitude) for three woody vegetation communities found in Texas, Oklahoma and New Mexico. Points were extracted from publicly available LANDFIRE Environmental Site Potential 30 m raster downgraded to 1 km using a majority classification algorithm. The three communities are an oak type (dominated by Quercus stellata and Q. marilandica), a mesquite type (dominated by Prosopis glandulosa and P. velutina), and a pinyon-juniper type (dominated by Pinus edulis and Juniperus osteosperma). The 21 rasters contain environmental suitability scores for each of the three communities, generated with MAXENT freeware using historic and projected climate and fire probability...
This data set includes a point cloud, digital surface model (DSM), and orthoimagery of Home, Paradise, Kaula, and Engineer 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 12.7 cm resolution DSM (.tif) of the uppermost reflective surface (i.e., data have not been filtered for vegetation...
These point data (lat long coordinates) represent pixel centers for three woody ecosystem types found in Texas, Oklahoma and New Mexico. Points were extracted from the publicly available LANDFIRE Fire Environmental Site Potential (ESP) raster that we downgraded from 30 m to 1 km pixels. The three data sets include: Oak ESP occurrence points.csv; Mesquite ESP occurrence points; and Pinyon-juniper ESP occurrence points
Categories: Data;
Tags: Climate Change,
Environmental Site Potential,
Environmental Suitability Models,
LANDFIRE,
MAXENT,
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