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This data set includes mosaicked aerial photographs for the Shell Island East Barrier Island Restoration (BA-0110) project both pre and post-construction for 2013. This data is used as a basemap habitat classification. If repeated, it can also serve as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a habitat classification was performed on specific projects to help assess landscape changes. First posted - June 18, 2018 (available from author) Revised - July 15, 2021 (version 1.1)
Mangrove inventory data from J.N. Ding Darling National Wildlife Refuge, Sanibel Island, Florida, USA collected in 2016 and 2017. Plot data includes X and Y downed dead wood count, mangrove species information and site descriptions. Tree data includes the three species found on the refuge: Avicennia germinans (Black mangroves), Laguncularia racemosa (White mangroves) and Rhizophora mangle (Red mangroves). They were inventoried for diameter at breast height (DBH), height, and dead status.
This data series provides tabular output from a series of modeling simulations for the State of California. The methods and results of this research are described in detail in Sleeter et al. (2019). We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use and land use change, climate change, and ecosystem disturbances such as wildfire and drought. The model was run at a 1-km spatial resolution on an annual timestep. We simulated 32 unique scenarios, consisting of 4 land-use scenarios and 2 radiative forcing scenarios as simulated by 4 global climate models. For each scenario, we ran 100 Monte Carlo realizations of the model. Additional details describing the modeling effort...
This dataset is the second (circa 2000) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Gambia,
Land Cover,
Land Use,
biota,
land cover,
This dataset contains 10 classified raster images identifying the distribution and condition of biological soil crusts using high-resolution imagery from Unmanned Aerial Systems (UAS). Also included are: a supplemental accuracy report and accuracy matrix for each classified image, and all associated accessory files. These images are located in Beef Basin, Southeastern Utah, and focuses on two ecological site types: Semidesert Shallow Loam, and Upland Stony Loam ('Sagebrush' and 'Pinyon-Juniper') sites. Five 50 x 50 m field sites were established for a total of 10 sites.
This release provides data collected by the climate monitoring array of the U.S. Department of the Interior on Federal lands in Arctic Alaska over the period August 1998 to July 2019; this array is part of the Global Terrestrial Network for Permafrost (DOI/GTN-P). In addition to presenting data, this release also describes monitoring, data collection, and quality-control methods. The array of 16 monitoring stations spans lat 68.5°N. to 70.5°N. and long 142.5°W. to 161°W., an area of approximately 150,000 square kilometers. Data collection is ongoing and includes the following climate- and permafrost-related variables: air temperature, wind speed and direction, ground temperature, soil moisture, snow depth, rainfall...
Categories: Data,
Data Release - Revised;
Tags: Alaska,
Arctic National Wildlife Refuge,
CLIMATE,
MONITORING,
National Petroleum Reserve,
This product contains plot location data in a .shp format as well as annual land cover, land use, and change process variables for each reference data plot in a separate .csv table. The same information available in the.csv file is also provided in a .xlsx format. The LCMAP 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 Reference Data Product includes the collection of an independent dataset of 25,000 randomly-distributed 30-meter by 30-meter plots across the conterminous United States (CONUS). This dataset was collected via manual image interpretation to aid in validation of...
These polygon features represent a comprehensive inventory of perennial snow and ice on the landscape in Glacier National Park (GNP) in 2005. This dataset does not include the 2005 extent of the named glaciers in GNP, which have been previously published. Of the perennial snow and ice features delineated here, 1.68 km2 (15.08%) of the total area exhibits characteristics indicative of active glacial ice. The imagery used to delineate perennial snow and ice was taken late season, therefore, all snow and ice present on the landscape is assumed to be perennial. Polygons were digitized based on National Agricultural Imagery Program (NAIP) imagery acquired in 2005, imagery acquired by the National Park Service in 2004...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: CCME-glacier,
Glacier National Park,
Montana,
USGS Science Data Catalog (SDC),
aerial imagery,
This metadata record documents data files, an analysis script, and results from a land-surface greenness analysis of the Tuckahoe Creek watershed, covering parts of Caroline, Queen Anne's and Talbot Counties in Maryland from 1984 to 2017. Included in this record are: 1) 34 raster datasets containing maximum wintertime greenness values on an annual basis from 1984 to 2017, 2) a script used in Google Earth Engine to create the raster datasets, 3) tabular output from vegetation biomass analysis for 1984 to 2017 using a composite cropland layer, 4) a raster of the composite cropland layer, 5) tabular output from vegetation biomass analysis by preceding summer crop type for 2008 to 2017 using year-specific annual cropland...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Agricultural BMP,
Chesapeake Bay watershed,
Choptank River,
Cover Crop,
Eastern Shore,
As part of the next generation NLCD 2016 mapping process, the NLCD research team developed a suite of intermediate products that were used to generate the final NLCD Land Cover products. Some of those products also have value as independent products and are provided here. Please read the product descriptions to understand what the product represents.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GIS,
Image processing,
Land Use Land Cover Theme,
Land cover,
N.L.C.D.,
The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD) products over the past two decades: NLCD 1992, 2001, 2006, and 2011. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. To continue the legacy of NLCD and further establish a long-term monitoring capability for the Nation’s land resources, the USGS has designed a new generation of NLCD products named NLCD 2016. The NLCD 2016 design aims to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database from 2001 to 2016 at 2–3-year...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GIS,
Image processing,
Land Use Land Cover Theme,
Land cover,
NGDA,
This dataset is the second (circa 2000) in a series of three 2-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources (exception is Tchad at 4 kilometers). To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Benin,
Burkina Faso,
Cape Verde,
Capo Verde,
Chad,
The dataset provides an estimate of 2020 herbaceous mostly annual fractional cover predicted on May 1st with an emphasis on annual exotic grasses Historically, similar maps were produced at a spatial resolution of 250m (Boyte et al. 2019 https://doi.org/10.5066/P9ZEK5M1., Boyte et al. 2018 https://doi.org/10.5066/P9KSR9Z4.), but we are now mapping at a 30m resolution (Pastick et al. 2020 doi:10.3390/rs12040725). This dataset was generated using in situ observations from Bureau of Land Management’s (BLM) Assessment, Inventory, and Monitoring data (AIM) plots; weekly composites of harmonized Landsat and Sentinel-2 (HLS) data (https://hls.gsfc.nasa.gov/); relevant environmental, vegetation, remotely sensed, and geophysical...
The CLIM-MET stations are meteorological/geological stations that are designed to function in remote areas for long periods of time without human intervention. These stations measure meteorological and wind-erosion parameters under varying climatic and land-use conditions to detect and describe ongoing landscape changes. Combined with historic and other data, CLIM-MET data can provide inputs into regional climatic models that describe how the Southwest will respond to future climatic conditions.
This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology. Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions. First posted - January 6, 2020 (available from author) Revised - October 30, 2020 (version 2.0)
Categories: Data,
Data Release - Revised;
Tags: Aquatic Biology,
Botany,
Geography,
Harmful Algal Blooms,
Remote Sensing,
Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The research objectives are to (1) estimate biomass expected at a certain location under specific weather conditions, (2) determine which drought indices explain the majority of inter-annual variability in the study area and (3) develop a model that estimates annual biomass early in the growing season. This study uses an established methodology to determine an expected ecosystem performance (EEP) in the Nebraska Sandhills, USA, representing...
Tabular data output from a series of modeling simulations for the seven main Hawaiian Islands. We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use, land use change, climate change, and wildfire. The model was run at a 250-m spatial resolution on an annual timestep from the years 2010 to 2100. We simulated four unique scenarios, consisting of all combinations of two land-use scenarios and two radiative forcing scenarios. For each scenario, we ran 30 Monte Carlo realizations of the model. Results presented here have been aggregated from the individual cell level and summarized by island or vegetation class. Model input data and the R code used to generate it, as well as R...
A validation assessment of Land Cover Monitoring, Assessment, and Projection Version 1 annual land cover products (1985–2017) for the Conterminous United States was conducted with an independently collected reference data set. Reference data land cover attributes were assigned by trained interpreters for each year of the time series (1984–2018) to a reference sample of 24,971 randomly-selected Landsat resolution (30m x 30m) pixels. The interpreted land cover attributes were crosswalked to the LCMAP annual land cover classes: Developed, Cropland, Grass/Shrub, Tree Cover, Wetland, Water, Ice/Snow and Barren. Validation analysis directly compared reference labels with annual LCMAP land cover map attributes by cross...
This dataset describes streamflow and precipitation event statistics for four watersheds located in Clarksburg, Maryland, USA. Streamflow and precipitation events were identified from fourteen years of sub-daily (5- and 15-minute) monitoring data from October 1, 2004 through September 30, 2018. A 6-hour inter-event window was used to define discrete streamflow and precipitation events. The following streamflow metrics were calculated for each event area normalized peak streamflow, runoff yield, runoff ratio, streamflow duration, time to peak, and rise rate. Precipitation event metrics include total precipitation depth and precipitation event duration.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Clarksburg,
Germantown,
Hydrology,
Land Change Science,
Land Use Change,
As part of the next generation NLCD 2016 mapping process, the NLCD research team developed a suite of intermediate products that were used to generate the final NLCD Land Cover products. Some of those products also have value as independent products and are provided here. Please read the product descriptions to understand what the product represents. Questions about the NLCD 2016 land cover product can be directed to the NLCD 2016 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: GIS,
Image processing,
Land Use Land Cover Theme,
Land cover,
N.L.C.D.,
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