AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrographic and Impairment Statistics Database: TULE

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, tule, tule-lake-national-monument, water, waterfall, wetlands
Organization: Department of the Interior
Buffalo National River Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: arkansas, boundaries, boundary, buff, buffalo-national-river, land-status-ownership, lrdcab, midwest-region, national-park-service, ownership, parcels, tracts, united-states
Organization: Department of the Interior
Bent's Old Fort National Historic Site Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: bents-old-fort-national-historic-site, boundaries, boundary, colorado, intermountain, lrdcab, national-park-service, ownership, parcels, planning-cadastre, tracts, united-states
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Petrified Forest National Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

The vegetation map database is georeferenced to Universal Transverse Mercator (UTM) projection North American Datum of 1983 (NAD 83) zone 12. The vegetation map database contains 6,989 polygons, of which 1,956 (28%) are smaller than 0.5 ha (table 8). The majority of the vegetated polygons smaller than 0.5 ha in size occur in nine base map classes. Map classes that occurred in the barren badlands were relatively easy to distinguish from unvegetated areas on the aerial photography and were often mapped even when the patches were less than 0.5 ha in size. All base map classes have a one-to-one representation with a plant community.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Pictured Rocks National Lakeshore

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

We converted the photointerpreted data into a format usable in a geographic information system (GIS) by employing three fundamental processes: (1) orthorectify, (2) digitize, and (3) develop the geodatabase. All digital map automation was projected in Universal Transverse Mercator (UTM), Zone 16, using the North American Datum of 1983 (NAD83).

Orthorectify: We orthorectified the interpreted overlays by using OrthoMapper, a softcopy photogrammetric software for GIS. One function of OrthoMapper is to create orthorectified imagery from scanned and unrectified imagery (Image Processing Software, Inc., 2002). The software features a method of visual orientation involving a point-and-click operation that uses existing orthorectified horizontal and vertical base maps. Of primary importance to us, OrthoMapper also has the capability to orthorectify the photointerpreted overlays of each photograph based on the reference information provided.

Digitize: To produce a polygon vector layer for use in ArcGIS (Environmental Systems Research Institute [ESRI], Redlands, California), we converted each raster-based image mosaic of orthorectified overlays containing the photointerpreted data into a grid format by using ArcGIS. In ArcGIS, we used the ArcScan extension to trace the raster data and produce ESRI shapefiles. We digitally assigned map-attribute codes (both map-class codes and physiognomic modifier codes) to the polygons and checked the digital data against the photointerpreted overlays for line and attribute consistency. Ultimately, we merged the individual layers into a seamless layer.

Geodatabase: At this stage, the map layer has only map-attribute codes assigned to each polygon. To assign meaningful information to each polygon (e.g., map-class names, physiognomic definitions, links to NVCS types), we produced a feature-class table, along with other supportive tables and subsequently related them together via an ArcGIS Geodatabase. This geodatabase also links the map to other feature-class layers produced from this project, including vegetation sample plots, accuracy assessment (AA) sites, aerial photo locations, and project boundary extent. A geodatabase provides access to a variety of interlocking data sets, is expandable, and equips resource managers and researchers with a powerful GIS tool.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Petersburg National Battlefield

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

Spatial data from field observation points and quantitative plots were used to edit the formation-level maps of Petersburg National Battlefield to better reflect vegetation classes. Using ArcView 3.3, polygon boundaries were revised onscreen over leaf-off photography. Units used to label polygons on the map (i.e. map classes) are equivalent to one or more vegetation classes from the regional vegetation classification, or to a land-use class from the Anderson (Anderson et al. 1976) Level II classification system. Each polygon on the Petersburg National Battlefield map was assigned to one of twenty map classes based on plot data, field observations, aerial photography signatures, and topographic maps. The mapping boundary was based on park boundary data obtained from Petersburg National Battlefield in May 2006. Spatial data depicting the locations of earthworks was obtained from the park and used to identify polygons of the cultural map classes Open Earthworks and Forested Earthworks. One map class used to attribute polygons combines two similar associations that, in some circumstances, are difficult to distinguish in the field. The vegetation map was clipped at the park boundary because areas outside the park were not surveyed or included in the accuracy assessment. Twenty map classes were used in the vegetation map for Petersburg National Battlefield. Map classes are equivalent to one or more vegetation classes from the regional vegetation classification, or to a land-use class from the Anderson (Anderson et al. 1976) Level II classification system.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: ALKA

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, ala-kahakai-national-historic-trail, alka, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Mapping Extent, Submerged Marine Habitat Mapping, Assateague Island National Seashore

Mapping extent of acoustic surveys completed along the 58‐km long Assateague barrier island stretching from the Ocean City inlet in Maryland, down past Chincoteague Island in northern Virginia. The data was collected June 20th-25th, 2014 and May 12th - 21th, 2015. Full coverage side-scan sonar and partial coverage bathymetry data were	collected using an EdgeTech 6205 Multiphase Echosounder. In total, 73 square kilometers were mapped at primarily at 100m line spacing and 80 m swath range per channel (to allow overlap between lines).

Tags: asis, assateague-island-national-seashore, bathymetry, benthic-habitat, benthic-habitat-mapping, hurricane-sandy, hxsandy, mapping-extent, ncbn, northeast-coastal-and-barrier-network, submerged-habitat, submerged-habitat-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Petroglyph National Monument

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

We developed the vegetation map for Petroglyph National Monument (PETR) using a strategy that combined automated digital image classification and direct analog image interpretation of aerial photography and satellite imagery. Initially, the aerial photography and satellite imagery were processed and entered into a GIS, along with ancillary spatial layers. We developed a working map legend of ecologically-based vegetation map units using the NVCS classification described in Chapter 2 as the foundation. The intent was to develop map units that targeted the plant-association level wherever possible, within the constraints of image quality, information content, and resolution. With the provisional legend and ground-control points provided by the field-plot data (the same data used to develop the vegetation classification), we conducted heads-up screen digitizing of polygons based on image interpretation, and supervised image classifications. The outcome was a vegetation map composed of a suite of map units defined by plant associations and represented by sets of mapped polygons with similar spectral and site characteristics. The PETR vegetation map is at a 1:12,000 scale with 0.25 ha minimum map unit size, and was designed to facilitate ecologically- based natural resources management.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Pecos National Historic Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

The vegetation map for Pecos National Historical Park was developed using a combined strategy of automated digital-image classification and direct analog-image interpretation of aerial photography and satellite imagery. Initially, the aerial photography and satellite imagery were processed and entered into a GIS along with ancillary spatial layers. A working legend of ecologically based vegetation map units was developed using the vegetation classification described in Chapter 2 as the foundation. The intent was to develop map units that targeted the plant-association level wherever possible within the constraints of image quality, information content, and resolution. With the provisional legend and ground-control points provided by the field-plot data (the same data used to develop the vegetation classification), a series of automated image segmentation and supervised image classifications were conducted, followed by fine-scale map refinement using direct image interpretation and manual editing. The outcome was a vegetation map composed of a suite of map units defined by plant associations and represented by sets of mapped polygons with similar spectral and physical characteristics

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Palo Alto Battlefield National Historical Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

The GIS included a visual portrayal of field site and GCP locations that were hotlinked to map identifiers overlain on 1999 mosaic photography coverage. Clicking on a map identifier retrieved a tabular and visual display of all data and photography available for each field site and GCP location. The GIS project that contained GCP locations and descriptions (some with photography), field site locations and descriptions including photography was delivered to the PAAL personnel on October 11, 2000.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Hopewell Furnace National Historic Site Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: elverston, gis, hopewell-furnace-national-historic-site, hydrography, hydrology, pa, water, water-quality
Organization: Department of the Interior
Horseshoe Bend National Military Park Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: al, daviston, gis, horseshoe-bend-national-military-park, hydrography, hydrology, water, water-quality
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Padre Island National Seashore

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

ECognition software was used to circumscribe visually homogeneous polygons. Multiresolution segmentation (Scale parameter: 25, Shape: 0.2, Compactness: 0.2) was applied to four bands of 1 meter (3.3 ft) National Agricultural Imagery Program (NAIP) imagery and normalized difference vegetation index (NDVI) derived from the imagery. We used eCongition to calculate eighty-one variables and attributed the variables to the polygons. These variables summarized attributes of the topographic relationships of the polygons, reflectance values derived from aerial photography, surficial geologic composition, and vegetation height.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Herbert Hoover National Historic Site Small-Scale Base GIS Data

This data set contains small-scale base GIS data layers
    compiled by the National Park Service Servicewide Inventory and
    Monitoring Program and Water Resources Division for use in a
    Baseline Water Quality Data Inventory and Analysis Report that was
    prepared for the park.  The report presents the results of surface
    water quality data retrievals for the park from six of the United
    States Environmental Protection Agency's (EPA) national
    databases: (1) Storage and Retrieval (STORET) water quality database
    management system; (2) River Reach File (RF3) Hydrography; (3)
    Industrial Facilities Discharges; (4) Drinking Water Supplies; (5)
    Water Gages; and (6) Water Impoundments.  The small-scale GIS data
    layers were used to prepare the maps included in the report that
    depict the locations of water quality monitoring stations,
    industrial discharges, drinking intakes, water gages, and water
    impoundments.  The data layers included in the maps (and this
    dataset) vary depending on availability, but generally include
    roads, hydrography, political boundaries, USGS 7.5' minute
    quadrangle outlines, hydrologic units, trails, and others as
    appropriate. The scales of each layer vary depending on data source
    but are generally 1:100,000.

Tags: gis, herbert-hoover-national-historic-site, hydrography, hydrology, ia, water, water-quality, west-branh
Organization: Department of the Interior
Antietam National Battlefield Tract and Boundary Data

These ESRI shape files are of National Park Service tract and boundary data that was created by the Land Resources Division. Tracts are numbered and created by the regional cartographic staff at the Land Resources Program Centers and are associated to the Land Status Maps. This data should be used to display properties that NPS owns and properties that NPS may have some type of interest such as scenic easements or right of ways.

Tags: anti, antietam-national-battlefield, antietam-national-battlefield-park, boundaries, boundary, land-status-ownership, lrdcab, maryland, national-capital-region, national-park-service, ownership, parcels, planning-cadastre, tracts, united-states
Organization: Department of the Interior