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

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, liri, little-river-canyon-national-preserve, 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
Geospatial data for the Vegetation Mapping Inventory Project of Sand Creek Massacre National Historic Site

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.

After fieldwork was completed, ecologists used field data (plot data, observation points, photographs, and field notes) and digital aerial imagery (NAIP 2005) to map draft vegetation polygons for SAND within an ESRI personal geodatabase. Vegetation polygons were drawn based on aerial photo signatures and plot and observation point data. Photographs, field notes, and plot data were used to refine visual analysis of aerial photo signatures in order to draw final polygons. Table relationships were used to create a drop-down list of plant associations and map unit categories in the attribute table to ensure consistent data entry. A CNHP GIS Specialist then cleaned the layer topology, removing overlaps, gaps, slivers, and any data inconsistencies. FGDC compliant metadata was created for the vegetation layers and the layers were exported from the geodatabase as ESRI shapefiles. The layers are all in the coordinate system UTM Zone 13, North American Datum 1983.

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 San Juan Island 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.

Prior to conducting field visits, existing vegetation maps, soils maps, wetland locations, and 2007 NAIP 6-inch color orthophotos, provided by the NPS, were used to delineate preliminary polygons using ArcGIS™ 9.3.1. Each polygon was assigned a "GIS_Poly" code. Some areas were difficult to map without field verification. A total of 544 polygons were mapped in the park. Vegetation classified at the Alliance-level was mapped correctly with an overall accuracy of 82.0 ± 5.2% (90% confidence intervals) and increases at higher NVC levels to 86.8%± 4.6% at the Division-level. Twenty-three of 32 Alliances in the AA (72%) meet the user‘s accuracy requirement of 80% established by the National Park Service Vegetation Inventory Program.

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 Scotts Bluff 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.

In order to avoid two repetitive ground field efforts, the sampling plan was devised from a combination of both vegetation maps. Using OR logic, overlays were created using both maps as input for each class, and random samples were developed for each class in excess of 30 polygons. Where there were less than 30 polygons sample sites were selected non-randomly from each polygon (i.e. a 100% sample). A total of 512 ground sampling sites were developed from a total of 21 vegetation and land cover classes which are represented on both vegetation maps. Using GIS tools, an ASCII file was generated with ground coordinates representing each of these sites. The 512 sets of coordinates were appropriately re-formatted and directly downloaded as waypoints in three North American Rockwell PLGR GPS receivers. During the week of August 4, 1997 three field crews of two persons each worked together at the monument in a coordinated effort to identify vegetation/cover types at each of the sites. The field crews had a paper map showing the location of the plots and the polygon boundaries (but not attributes) overlaid on topographic data. One team member operated the GPS receiver to navigate to the site, and the other identified the vegetation/cover type and provided a general physical description of the site environs. Sites were considered to be circular with a radius of 50 m. from the coordinate point. Where 2 or more vegetation/cover types occurred, or there was a mosaic of types, all were described within the 50 m. radius of the site coordinate.

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
Little Bighorn Battlefield National Monument vegetation composition, structure, and soils: 2009–2016 status and trend data

This reference includes the Uplands Vegetation Composition Structure and Soils database and flat file excel summaries used in the 2009-2016 status and trend report at Little Bighorn Battlefield National Monument.

Tags: ecological-framework-biological-integrity-focal-species-or-communities-forest-woodland-communit, ecological-framework-biological-integrity-focal-species-or-communities-grassland-herbaceous-com, ecological-framework-biological-integrity-focal-species-or-communities-shrubland-communities, ecological-framework-biological-integrity-invasive-species-invasive-exotic-plants, ecological-framework-geology-and-soils-soil-quality-soil-function-and-dynamics, romn, soil, soil-quality, soil-structure, uplands, vegetation, vegetation-composition
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Salinas Pueblo Missions 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.

Aerial digital ortho-photography was the foundation imagery for map development. For Abó, the photography was acquired on April May 15, 2002 at a scale of approximately 1:3,000; for Quarai and Gran Quivira it was flown on April 2, 2003 at scales of 1:3,600 and 1:3000, respectively. The 2002-03 digital imagery has a base pixel resolution of 1.0 m. We also made use of statewide 1-meter resolution, true-color imagery from 2005 that became available in 2006 through the New Mexico Resource Geographic Information System. A 10 m spatial resolution USGS Digital Elevation Model (DEM) was used, in conjunction with ground data, to help discriminate between vegetation types based on elevation gradients and terrain. All imagery and other spatial data layers were compiled into a geodatabase and GIS using ArcGIS 9.3 (ESRI 2008).

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 Saint-Gaudens National Historic Site

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.

Following the development of the vegetation classification, the vegetation map was further edited and refined in 2005 to develop an association-level vegetation map. Using ArcGIS 9.0, polygon boundaries were revised onscreen based on the plot data and additional informal field observations collected while in the field during plot sampling. Field notes and limited field mapping supplemented the GIS mapping. Given the large amount of time used in gathering plot data, further ground-truthing was minimal. Each polygon was attributed with the name of a USNVC association or a land use/land cover map class based on plot data, field observations, aerial photography signatures, and topographic maps.
The vegetation is mapped to the association level with one exception—because of their small size and interdigitization on the landscape, three of the herbaceous wetland communities, Bluejoint Wet Meadow (CEGL005174), Medium-depth Emergent Marsh (CEGL006519), and Cattail Marsh (CEGL006513) were mapped as a single map class: the Emergent Marsh - Shrub Swamp System. The Enriched Hardwood Forest Seeps, small occurrences within upland forests that are distinguished by their herb flora, are less than the minimum mapping unit (0.5 ha) and were not mapped.
The shapefile was projected in Universal Transverse Mercator (UTM) Zone 18 North, North American Datum (NAD) 1983.

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 San Antonio Missions 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.

To produce the digital map, a combination of 1:12,000-scale ortho imagery acquired in 2003, 2004, and 2005 and all of the GPS-referenced ground data were used to interpret the complex patterns of vegetation and land-use. All imagery was acquired from the U.S. Department of Agriculture - Farm Service Agency’s Aerial Photography Field Office and the National Agriculture Imagery Program. In the end, 32 map units (13 vegetated and 19 land-use) were developed and directly cross-walked or matched to corresponding plant associations and land-use classes. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcGIS© software. Draft maps were printed, field tested, reviewed, and revised. One hundred-twenty four accuracy assessment (AA) data points were collected in 2006 and used to determine the map’s accuracy. After final revisions, the accuracy assessment revealed an overall thematic accuracy of 89%.

Project Size = 6,784 acres
San Antonio Missions National Historical Park = 844 acres
Map Classes = 32
13 Vegetated
19 Non-vegetated
Minimum Mapping Unit = ½ hectare is the program standard but this was modified at
SAAN to ¼ acre.
Total Size = 1,122 Polygons
Average Polygon Size = 6 acres
Overall Thematic Accuracy = 89%

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 Salt River Bay National Historical Park and Ecological Preserve

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.

After returning from the field, all GPS units used for vegetation mapping were downloaded creating an ESRI ArcMap shapefile for each visit. A database was created including the fields given with additional descriptions provided. Data recorded on field data sheets and notes were entered in the database. A ThumbsPlus 7© database was used to catalog all photos taken during each day of the field visit, allowing data from field data sheets to be digitally associated with each individual photo. Polygons were digitized in ESRI ArcMap for the entirety of Salt River Bay based on an initial photo-interpretation of the digital orthoimage at a scale of no less than 1:200 and no more than 1:7000. The variation in scale proved helpful in defining larger polygons at larger scales and vice versa. Vegetation polygons in general were digitized with a minimum mapping unit of 400 m2. However, 39 polygons were digitized at a scale smaller than the minimum mapping unit. Many of these 39 polygons had a high degree of certainty in their mapping class and location (e.g., mangrove islands, edges of salt ponds, etc.).

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 Mount Rushmore National Memorial

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 was developed by photographic interpretation of 1993, 1:16,000 scale color infrared photography. Two separate classification systems were used to develop the mapping units. Cultural, disturbed, or unsampled vegetation types used the Anderson Level II classification system. All other vegetation within the mapping boundary used map units derived from the NVCS. A total of 8 Anderson Level II classes and 9 NVCS classes were used. The NVCS classes were combined to form 4 vegetation mapping classes. As part of the mapping effort, we have included an accuracy assessment for the overall mapping effort as well as for individual class accuracies. These data include reporting for both errors of omission and commission. Overall map accuracy is 74.3% within a 90% confidence interval. All digital files were created with a standard format. All files are delivered with a UTM projection, zone 13, and a north American datum of 1983.

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
Imagery data for the Vegetation Mapping Inventory Project of Coronado National Memorial

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here.

All imagery (aerial photographs) for Coronado NMEM was acquired without cost from The National Map program. The imagery was originally acquired via the USGS High Resolution Orthoimagery project, for use in work related to border safety/border impacts. Images were flown in October 2008, and have a 0.30-meter resolution. The 15 tiles covering the park were obtained at no cost and then processed (mosaicked) by OALS for use in this project. Minimal processing was required, as the tiles were already georeferenced. The final image set was used to create printed field maps that crews used while conducting field assessments and on which they drew draft polygon boundaries.

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 Mesa Verde 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 project team also developed a spatial vegetation map database representing MEVE, with three different map-class schemas: base, group, and management map classes. The base map classes represent the finest level of spatial detail. Initial polygons were developed using Definiens Professional (at the time of our use, this software was called eCognition), assisted by interpretation of 1:12,000 true-color digital orthophoto quarter quadrangles (DOQQs). These polygons (base map classes) were labeled using manual photo interpretation of the DOQQs and 1:12,000 true-color aerial photography. Field visits verified interpretation concepts.

The vegetation map database includes 46 base map classes, which consist of associations, alliances, and park specials classified with quantitative analysis, additional associations and park specials noted during photointerpretation, and non-vegetated land cover, such as infrastructure, land use, and geological land cover. The base map classes consist of 5,007 polygons in the project area. A field-based accuracy assessment of the base map classes showed overall accuracy to be 43.5%. Seven map classes comprise 89.1% of the park vegetated land cover.

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 Marsh-Billings-Rockefeller 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.

Following development of vegetation classifications after plot sampling, the preliminary vegetation map was further edited and refined in 2005. Using ArcGIS 9.0, polygon boundaries were revised on-screen based on plot data and additional field observations collected during 2004 field visits. Field notes and limited field mapping supplemented GIS mapping. Each polygon was attributed with a map class name that is the common name of a USNVC association, a park-specific map class name representing a variant of an association, or an Anderson Level II use/land cover map class based on plot data, field observations, aerial photography signatures, and topographic maps. Map units in the 2005 vegetation map were equivalent to the association level with few exceptions. The overall 2005 map accuracy and Kappa index was 76%, which fell below the USGS/NPS vegetation mapping protocol requirement of 80%. Revisions were subsequently made to the 2005 vegetation map to increase the accuracy of the final product. The final 2007 vegetation map accuracy was 85.7% and Kappa index was 84.6%.

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 Saugus Iron Works National Historic Site

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.

To produce a USNVC association-level vegetation map that satisfied the standards of the USGS/NPS Vegetation Mapping Program, the alliance-level vegetation map developed by Agius  was edited and refined onscreen in ArcGIS 9.1. The Agius (2003b) vegetation map was not developed following the USGS/NPS Vegetation Mapping Program standards and therefore could not be used as the final vegetation classification map. Polygons that represented vegetation were readily attributed to existing associations in the U.S. National Vegetation Classification. Polygons that represented intensive land uses were attributed with names modified from the Anderson Level II categories.. Because Saugus Iron Works National Historic Park is a small park with only 21 polygons, the mapping did not rely entirely on aerial photograph interpretation, but also incorporated lines sketched onto a hard-copy map on site. 

Using ArcGIS 9.1, polygon boundaries were drawn onscreen based on the plot data and additional field observations. Each polygon was attributed with the name of an USNVC association or an Anderson Level II (modified) land use/land cover map class based on plot data, field observations, aerial photography signatures, and topographic maps. The shapefile was projected in Universal Transverse Mercator Zone 19 North, North American Datum 1983, meters, in ArcGIS 9.1.

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