Skip to main content
Advanced Search

Filters: Tags: Erosion (X)

643 results (28ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
This file represents the final version of an assessment of the extent, condition, and distribution of grassland types in Arizona as indicated by expert interviews and field verification. Coverage includes the state of Arizona, Southwestern portions of the state of New Mexico, and the Northern portion of Sonora, Mexico.
thumbnail
The Desert Renewable Energy Conservation Plan (DRECP), a major component of California's renewable energy planning efforts, will help provide effective protection and conservation of desert ecosystems while allowing for the appropriate development of renewable energy projects. The DRECP is focused on the desert regions and adjacent lands of seven California counties - Imperial, Inyo, Kern, Los Angeles, Riverside, San Bernardino, and San Diego. It is being prepared through an unprecedented collaborative effort between the California Energy Commission, California Department of Fish and Wildlife, the U.S. Bureau of Land Management, and the U.S. Fish and Wildlife Service also known as the Renewable Energy Action Team....
What are current conditions for important park natural resources? What are the critical data and knowledge gaps? What are some of the factors that are influencing park resource conditions? Natural Resource Condition Assessments (NRCAs) evaluate and report on the above for a subset of important natural resources in national park units (hereafter, parks). Focal study resources and indicators are selected on a park-by-park basis, guided by use of structured resource assessment and reporting frameworks. Considerations include park resource setting and enabling legislation (what are this park's most important natural resources?) and presently available data and expertise (what can be evaluated at this time?). In addition...
thumbnail
El Espacio Digital Geográfico (ESDIG) de la SEMARNAT, muestra en mapas información sobre las características ambientales y sociales del país en temas como vegetación, uso del suelo, cuerpos de agua, suelos, clima, población, entre otros, así como de los resultados de programas ambientales y sociales dedicados al aprovechamiento, conservación y recuperación de los ecosistemas naturales de México. Los mapas desplegados son extraídos de la base de datos geográfica del SNIARN. La información contenida en ésta base ha sido generada por diferentes áreas de la Semarnat, sus órganos desconcentrados y descentralizados, así como también por el INEGI y diversas dependencias del Gobierno Federal.
thumbnail
ARS scientists publish results of their research projects in many formats. Listed below are the publications from research projects conducted at this location. Clicking on a publication title will take you to more information on the publication. Clicking on the reprint icon will take you to the publication reprint.
thumbnail
A battery of questions was developed and applied to different stakeholders immersed in knowledge of the condition and the use of grazing of grasslands. One hundred people were surveyed amongst livestock producers (both from private ranches and from communal ejidos), and students and researchers at regional institutions involved in agricultural sciences in different states of Mexico: Coahuila, Durango, San Luis Potosí, and Jalisco. The objective of the survey was to determine aspects of stakeholders’ interpretation of the condition of grasslands in their region under conditions of extensive grazing, such as soil condition, harvest efficiency, vegetation condition, openness to community organizing of grazing, capacity...
thumbnail
This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
thumbnail
One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. Stereo-photogrammetry was used to create a 1992 digital surface model (DSM) and orthophoto mosaic from archived aerial photographs....
thumbnail
One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 2014 digital elevation model (DEM), a study area boundary, and a geomorphic map. The 2014 DEM was derived from an available aerial LiDAR dataset collected in 2014 by the California Department of Conservation. The geomorphic map was derived for the study area from using a multi-scale spatial analysis. A topographic...
thumbnail
Images were collected using a remotely piloted unoccupied aerial system over the bluffs of the eastern shore of Lake Michigan in Miami Park rural residential area, Allegan County, MI. Images were collected on July 19, 2021, by Richard Becker, University of Toledo, and cover an extent between south of Lakestone Dr. to the north, and south of A St. to the south. Images were collected to monitor active bluff erosion in the area. The images are presented here in zipped files grouped by type of collection, nadir and oblique. The images were collected in JPG format and include Exif metadata with GPS date, time, longitude and latitude, copyright, keywords, and other fields. These files were used in structure-from-motion...
thumbnail
CSV files containing measurements of ventifact feature and wind tail orientations, sand flux and wind modeling results.
thumbnail
This database contains literature citations and associated summaries pertaining to livestock grazing effects on amphibians and their habitats, with an emphasis on the Oregon spotted frog (Rana pretiosa) and other listed/sensitive wetland-breeding amphibians in the western United States. This is not meant to be an exhaustive list, nor did we perform a systematic meta-analysis; rather, literature records were included based on topical relevance. *HINT: If you are looking for the database SEARCH TOOL, scroll down to 'Attached Files' and download 'Annotated_bibliography_with_search_tool.accdb.' Open the database file to enter the search form.* This data release supersedes Rowe, J.C., Pearl, C.A., Adams, M.J., and McCreary,...
thumbnail
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
thumbnail
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
thumbnail
The beaches of the Hawaiian Islands attract nearly 9 million visitors each year, who inject around $15.6 billion into the state’s economy and support almost 200,000 jobs. Beyond their economic importance, Hawaiian beaches are also culturally and ecologically valuable. However, climate change driven sea-level rise is causing many beaches to disappear, endangering property, infrastructure, and critical habitats. The goal of this project was to develop a method for forecasting erosion-vulnerable beach areas that could be used in coastal management planning. Researchers focused on the island of Kauaʻi, modeling beach response to rising sea level over the next century and producing maps that provide information about...
thumbnail
There are 6 datasets total that together represent sediment placement in the North and Mid-Atlantic: Proposed Sediment Placement (points, lines, and polygons) and Sediment Placement (points, lines, and polygons).These data are part of a broader project: Inventory of Habitat Modifications to Sandy Oceanfront Beaches in the U.S. Atlantic Coast Breeding Range of the Piping Plover (Charadrius melodus) as of 2015: Maine to North Carolina. An estimate of the length of sandy oceanfront beaches that have received or continue to receive sediment placement from Maine through North Carolina was compiled. Only ocean-facing shorelines or those directly exposed to Long Island Sound or the Peconic Estuary were included in this...
thumbnail
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
thumbnail
Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags...
thumbnail
The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
thumbnail
As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey developed a suite of high-resolution lidar-derived raster datasets for the Greater Raleigh Area, North Carolina, using repeat lidar data from the years 2013, 2015, and 2022. These datasets include raster representations of digital elevation models (DEMs), DEM of difference, the ten most common geomorphons (i.e. geomorphologic feature), lidar point density, and positive topographic openness. Raster footprints vary by year based on extent of lidar data collection. All files are available as Cloud Optimized GeoTIFF, meaning they are formatted to work on the cloud or can be directly downloaded. These metrics have been...


map background search result map search result map Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Desert Renewable Energy Conservation Plan Extent and Condition of Grasslands in Arizona, Northern Mexico, and Southwestern New Mexico Natural Resource Condition Assessments Southwest Watershed Research Publications Espacio Digital Geográfico (ESDIG) Perceptions of the condition of semiarid grasslands under grazing regimes in Mexico/ Percepción de la condición del pastizal  bajo pastoreo, en México semiárido Study Area Boundary Malakoff DIggins State Historic Park, California 1992 digital surface model Malakoff Diggins State Historic Park, California Rate of shoreline change statistics for New York State coastal wetlands Sediment Placement, 2012-2015, North and Mid-Atlantic U.S. Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina Structure-from-Motion photos and derived point clouds from bluffs in Miami Park, MI, July 19, 2021 Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Virginia generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Long and short-term shoreline change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Structure-from-Motion photos and derived point clouds from bluffs in Miami Park, MI, July 19, 2021 Study Area Boundary Malakoff DIggins State Historic Park, California 1992 digital surface model Malakoff Diggins State Historic Park, California Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Lidar-derived rasters of point density, elevation, and geomorphological features for 2013, 2015, and 2022 for the Greater Raleigh Area, North Carolina Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Rate of shoreline change statistics for New York State coastal wetlands Desert Renewable Energy Conservation Plan Extent and Condition of Grasslands in Arizona, Northern Mexico, and Southwestern New Mexico Sediment Placement, 2012-2015, North and Mid-Atlantic U.S. Perceptions of the condition of semiarid grasslands under grazing regimes in Mexico/ Percepción de la condición del pastizal  bajo pastoreo, en México semiárido Espacio Digital Geográfico (ESDIG) Southwest Watershed Research Publications Natural Resource Condition Assessments