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Land cover classifications and associated data from treatment areas enrolled in the Phragmites Adaptive Management Framework, 2018 Land cover classifications and associated data from treatment areas enrolled in the Phragmites Adaptive Management Framework, 2018
During 2018, uncrewed aerial vehicles (UAVs or 'drones') were used to collect spatially referenced aerial imagery from 20 management units (sites) enrolled in the Phragmites Adaptive Management Framework, a collective learning program developed by the Great Lakes Phragmites Collaborative. Management units were located in Michigan, Ohio, and Wisconsin (USA). Invasive Phragmites australis...
Land cover, discharge, terrestrial litterfall, organic matter, and nutrient concentrations of headwater streams in Mato Grosso, Brazil Land cover, discharge, terrestrial litterfall, organic matter, and nutrient concentrations of headwater streams in Mato Grosso, Brazil
These data were collected as part of a study headwater streams of the lowland Brazilian Amazon to assess the effects of land use change on organic matter dynamics (OM), ecosystem metabolism, and nutrient concentrations and uptake (nitrate and phosphate) in 11 first order streams draining forested (n=4) or cropland (n=7) water-sheds with intact riparian forests. Data included here are...
Landsat 8 Collection 1 cloud truth mask validation set Landsat 8 Collection 1 cloud truth mask validation set
The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 1 images. These images were selected at random from the Landsat 8 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide...
Landsat 8 Collection 2 cloud truth mask validation set Landsat 8 Collection 2 cloud truth mask validation set
The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 8 Collection 2 images. These images were selected at random from the Landsat 8 archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide...
LCMAP CONUS Intensification Reference Data Product 1984–2019 land cover, land use and change process attributes LCMAP CONUS Intensification Reference Data Product 1984–2019 land cover, land use and change process attributes
The LCMAP Intensification Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products. The LCMAP Intensification Reference Data Product includes the collection of an independent dataset of 2,000 30-meter by 30-meter plots selected via stratified random sampling across the...
LCMAP Hawaii Reference Data Product land cover, land use and change process attributes LCMAP Hawaii Reference Data Product land cover, land use and change process attributes
The LCMAP Hawaii Reference Data Product was utilized for evaluation and validation of the Land Change Monitoring, Assessment, and Projection (LCMAP) land cover and land cover change products for Hawaii. The LCMAP Hawaii Reference Data Product includes the collection of an independent dataset of 600 30-meter by 30-meter plots across Hawaii. This dataset was collected via manual image...
Lek Disturbance Buffer Analysis data, Western Colorado, Derived from Gunnison Sage Grouse Location Data 2010 - 2014 Lek Disturbance Buffer Analysis data, Western Colorado, Derived from Gunnison Sage Grouse Location Data 2010 - 2014
This data release consists of three files (Crawford_and_WGB_Location_Data_S1.csv, Lek_Dist_S2.csv, and Home_Range_Area_S3.csv). The first data set represents specifics about each GPS location representing temporal and spatial relationships used in our analysis including the Month, day and year and local time each location was collected along with distance between locations, elevation in...
Lidar point cloud, GNSS, and raster data from near St. Helena, CA, March 30 and August 1, 2017 Lidar point cloud, GNSS, and raster data from near St. Helena, CA, March 30 and August 1, 2017
Text files: These data are text files of GNSS survey points collected along a trace of the West Napa Fault Zone near Ehler?s Lane north of St. Helena, California. Data were collected to aid in paleoseismic investigation of the suspected fault strand and to characterize local geomorphology. Data were collected on March 31, and August 1, 2017 using a Leica Viva GS15 survey grade GPS. The...
Lidar-derived closed depression vector and density raster in karst areas of the Winchester 30 x 60-minute quadrangle Lidar-derived closed depression vector and density raster in karst areas of the Winchester 30 x 60-minute quadrangle
The Winchester 30 x 60 minute quadrangle, covering northern Virginia, West Virginia, and Maryland, hosts karsts within carbonate units of Devonian to Cambrian age. Lidar-derived elevation data, acquired between 2011 and 2019, were used to create a mosaic of 1-meter resolution working digital elevation models (DEMs), from which surface depressions were identified using a semi-automated...
Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia
Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated...
Lidar-derived digital elevation models in Clarksburg, MD representing the years 2002, 2008, 2013, and 2018 Lidar-derived digital elevation models in Clarksburg, MD representing the years 2002, 2008, 2013, and 2018
This is a collection of 3 ft resolution digital elevation model derived from light detection and ranging (lidar). Lidar was collected in 2002, 2008, 2013, and 2018. Coverage includes a portion of Clarksburg, Maryland, focused around the Clarksburg Special Protection Area (CSPA). Overall extent varies between each dataset, but all digital elevation models are aligned together with...
Lidar-derived imagery and digital elevation model (DEM) of Monroe County, West Virginia at 3-meter resolution Lidar-derived imagery and digital elevation model (DEM) of Monroe County, West Virginia at 3-meter resolution
These raster datasets are 3-meter lidar-derived images of Monroe County, West Virginia, and were created using geographic information systems (GIS) software. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which a hillshade was applied and a topographic position index (TPI) raster was...