Skip to main content
Advanced Search

Filters: Tags: {"scheme":"None"} (X) > Extensions: ArcGIS Service Definition (X)

691 results (26ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tags (with Scheme=None)
View Results as: JSON ATOM CSV
thumbnail
Data set includes a mosaic of multiple Landsat 8 OLI sensor path/row combinations for May 14, 17, and 19, 2014 covering the South Atlantic Landscape Conservation Cooperative (SALCC) geography between extreme northeastern North Carolina (including Back Bay, VA-NC) south through Sapelo I., GA. The imagery was acquired as georeferenced, calibrated digital data. Water and upland masking used NIR thresholds, CCAP land cover, and LiDAR DEMs. The image composite includes three normalized difference indces useful for marsh classification and monitoring, including: 1) Normalized Difference Vegetation Index (NDVI), 2) Normalized Difference Water Index (NDSI), and 3) Normalied Difference Soil Index (NDSI). The NDX bands were...
thumbnail
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
thumbnail
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
thumbnail
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
thumbnail
This is a continuous raster dataset identifying grasslands that are currently suitable for mottled duck nesting activities in the Western Gulf Coast. The identification process is based on key biological parameters such as patch size, land use type, distance to brood rearing habitat, etc. Additionally, this raster datasets presents the data in a form that prioritizes habitat from more suitable to less suitable based on landscape metrics. The scale ranges from 9.9999 to .000005, higher value designating higher suitability ranking.
thumbnail
This file describes a set of outputs from the Sea Level Affecting Marshes Model (SLAMM), which consists of rasters containing SLAMM’s coastal cover categories (classes) for a study area on the Gulf of Mexico (U.S.) coast. The model was used to simulate the impact of sea level rise (SLR) on these coastal cover classes, with an emphasis on wetlands, for the “Evaluation of Regional SLAMM Results to Establish a Consistent Framework of Data and Models” project. The project was performed by Warren Pinnacle Consulting, Inc., and Image Matters LLC. The project was funded by the Gulf Coast Prairie Landscape Conservation Cooperative (LCC). A coordinated network of landscape conservation cooperatives (each an “LCC”) is being...
thumbnail
This dataset depicts staffed visitor stations within the Pacific Southwest Region of the U.S. Fish and Wildlife Service. Staffed visitor stations may be refuge offices that are open to the public during specified hours, or may be dedicated visitor centers. This dataset does not include kiosks or other areas which contain information for visitors but are not staffed. The locations of these stations are based on the USFWS Corporate Master Table, with additional editing and updates based on the input of field and visitor services staff.
thumbnail
This data layer defines Pacific Southwest Region endangered species office leads for species consultations and support. This data was defined based on an internal 2014 US Fish and Wildlife Serviceas inter-office Memorandums of Understanding. This boundary generally reflects which individual offices will have jurisdiction for endangered species consultations and support.
thumbnail
Coastal zone managers and researchers often require detailed information regarding emergent marsh vegetation types (that is, fresh, intermediate, brackish, and saline) for modeling habitat capacities and needs of marsh dependent taxa (such as waterfowl and alligator). Detailed information on the extent and distribution of emergent marsh vegetation types throughout the northern Gulf of Mexico coast has been historically unavailable. In response, the U.S. Geological Survey, in collaboration with the Gulf Coast Joint Venture, the University of Louisiana at Lafayette, Ducks Unlimited, Inc., and the Texas A&M University-Kingsville, produced a classification of emergent marsh vegetation types from Corpus Christi Bay,...
thumbnail
These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
thumbnail
This data set depicts the facility point features (i.e. gates, boat launches, blinds) at the Colusa National Wildlife Refuge in Colusa County, California. This facilties dataset was heads-up digitized using aerial imagery. Certain facility features (gates) were snapped to the Sacramento National Wildlife Refuge Complex - Roads dataset.
thumbnail
These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
thumbnail
Regional Climate Centers (RCC) Palmer Drought Severity Index (PDSI: drought index). Recent 10-year climatology for drought in winter months, 1950-1999.Drought is one of the most consequential aspects of variation in precipitation and temperature patterns in terms of its impacts on natural ecosystems and human systems. The production of food and clean water can be strongly affected, as can forest products production, outdoor recreation, ecosystem processes such as wildland fire, and many other processes affecting ecosystem services. Having a grasp on recent ranges of variability in drought conditions can provide a context for understanding ongoing and future climate change and its impacts on ecosystem services. Although...
thumbnail
STATSGO depicts information about soil features on or near the surface of the Earth. These data are collected as part of the National Cooperative Soil Survey. This data set is a digital general soil association map developed by the National Cooperative Soil Survey. It consists of a broad based inventory of soils and nonsoil areas that occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. The soil maps for STATSGO are compiled by generalizing more detailed soil survey maps. Where more detailed soil survey maps are not available, data on geology, topography, vegetation, and climate are assembled, together with Land Remote Sensing Satellite (LANDSAT) images. Soils...
thumbnail
This service definition contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Delaware. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Delaware. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of...
thumbnail
This habitat model was developed to identify suitable habitat for the federally-endangered least Bell’s vireo (Vireo bellii pusillus) across its current and historic range in California. The vireo disappeared from most of its range by the 1980s, remaining only in small populations in southern California. Habitat protection and management since the mid-1980s has led to an increase in southern California vireo populations with small numbers of birds recently expanding into the historic range. Predictions from this model will be used to focus surveys in the historic range to determine where vireos are recolonizing and to track the status and distribution of populations over time. We used the Partitioned Mahalanobis...
thumbnail
High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir. Seismic data collected during this survey can help to define the rates of deposition within the San Juan and Colorado Rivers, which are the main inflows to Lake Powell. These new data are intended to improve water budget management decisions that affect the natural and recreational resources of the reservoir. Multibeam echosounder bathymetry and...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Antelope Canyon, BOR, Bullfrog, Bullfrog Bay, Bureau of Reclamation, All tags...
thumbnail
This dataset is a static view of available data from the Pacific Northwest Aquatic Monitoring Partnership (PNAMP) Monitoring Site Manager on 201412. The Monitoring Site Manager describes locations of data collection events for various aquatic monitoring programs in the Pacific Northwest. It includes locations for the US Forest Service Aquatic and Riparian Effectiveness Monitoring Program (AREMP), Bonneville Power Administration’s Columbia Habitat Monitoring Program (CHaMP), Oregon Department of Environmental Quality’s (ODEQ) Ambient Water Quality Monitoring Program, the National Rivers and Streams Assessment (NRSA) in Oregon, the US Forest Service PACFISH/INFISH Biological Opinion Effectiveness Monitoring Program...
thumbnail
This polyline feature class depicts the classification of each wild and scenic river segment designated by Congress and the Secretary of the Interior for the United States and Puerto Rico. This layer was created by a multi-agency effort including the US Forest Service, National Park Service, Bureau of Land Management and the Fish and Wildlife Service. The spatial data were referenced to the latest High Resolution National Hydrological Data Layer (NHD 1:24,000 Scale or better), published by United States Geological Survey (USGS).“Wild” rivers are free of dams, generally inaccessible except by trail, and represent vestiges of primitive America. “Scenic” rivers are free of dams, with shorelines or watersheds still...


map background search result map search result map Pacific Northwest Aquatic Monitoring Partnership (PNAMP) static dataset for NFHP Thematic Viewer 201412 Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 Prioritization of Currently Suitable Nesting Habitat for Mottled Ducks in the Western Gulf Coast Pacific Southwest Region Ecological Services Jurisdictional Boundaries National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Delaware: ESRI Service Definition Facilities, Colusa National Wildlife Refuge Staffed Visitor Stations - USFWS, Pacific Southwest Region Wild and Scenic Rivers Drought The Palmer Drought Severity Index Winter Mean 1950-1999 USDA STATSGO: Dominant Soil Orders Sea Level Rise Data: 1-6 ft for Marin Islands NWR NOAA Sea Level Rise Data (1-6 ft) for Ellicott Slough National Wildlife Refuge NHD Point Events (Snapshot 8/25/2016) Sea-Level Affecting Marshes Model 0.5m SLR - 2025 Sea-Level Affecting Marshes Model 1.0m SLR - 2100 Sea-Level Affecting Marshes Model 1.5m SLR - 2100 Sea-Level Affecting Marshes Model 2.0m SLR - 2100 Normalized Difference Index (NDX) Mosaic Composite for Salt Marshes Multibeam bathymetric data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA using a dual-head Reson T20-P multibeam echosounder (32-bit GeoTIFF, UTM Zone 12N, NAD 83, NAVD 88 Vertical Datum, 2-m resolution). Least Bell's Vireo Habitat Suitability Model for California (2019) Facilities, Colusa National Wildlife Refuge Multibeam bathymetric data collected within Lake Powell, UT-AZ during USGS Field Activity 2017-049-FA using a dual-head Reson T20-P multibeam echosounder (32-bit GeoTIFF, UTM Zone 12N, NAD 83, NAVD 88 Vertical Datum, 2-m resolution). National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Delaware: ESRI Service Definition Marsh types from Corpus Christi Bay, Texas, to the Sabine River, Texas, in 2010 Normalized Difference Index (NDX) Mosaic Composite for Salt Marshes Prioritization of Currently Suitable Nesting Habitat for Mottled Ducks in the Western Gulf Coast Staffed Visitor Stations - USFWS, Pacific Southwest Region Least Bell's Vireo Habitat Suitability Model for California (2019) Pacific Southwest Region Ecological Services Jurisdictional Boundaries Sea-Level Affecting Marshes Model 1.5m SLR - 2100 Sea-Level Affecting Marshes Model 2.0m SLR - 2100 Sea-Level Affecting Marshes Model 0.5m SLR - 2025 Sea-Level Affecting Marshes Model 1.0m SLR - 2100 Pacific Northwest Aquatic Monitoring Partnership (PNAMP) static dataset for NFHP Thematic Viewer 201412 Drought The Palmer Drought Severity Index Winter Mean 1950-1999 Wild and Scenic Rivers NOAA Sea Level Rise Data (1-6 ft) for Ellicott Slough National Wildlife Refuge Sea Level Rise Data: 1-6 ft for Marin Islands NWR NHD Point Events (Snapshot 8/25/2016) USDA STATSGO: Dominant Soil Orders