Filters: Tags: national vegetation classification standard (X)
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The geographic information system (GIS) format spatial data set of vegetation for Moores Creek National Battlefield (MOCR) was created by the National Park Service (NPS) Southeast Coast Inventory and Monitoring Network (SECN). The MOCR covers an area of approximately 70 ha (173 acres). The map classification scheme used to create the vegetation data set is designed to represent local plant communities at the finest level possible using the National Vegetation Classification System. The vegetation data set was developed by interpreting aerial photographs collected in 2009 and extensive field surveys. Individuals who cooperated in this project include: the Southeast Regional Office of NatureServe and the NPS SECN....
The geographic information system (GIS) format spatial data set of vegetation for Apostle Islands National Lakeshore (APIS) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The APIS covers an area of approximately 28,972 ha (71,591 acres). The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification (NVC) Standard (Vr 2). Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2004 and extensive field surveys....
During summer 2019, botanists with the Maine Natural Areas Program collected data from 94 vegetation plots for plant community characterization. The sampling data were entered into the National Park Service PLOTS version 4.0 (National Park Service 2018) for analyses to characterize vegetation associations in the U.S. National Vegetation Classification. An accuracy assessment was performed on the draft version of the vegetation map layer. During the summer of 2020, field crews collected data from 107 stratified and randomly selected sites for evaluating the accuracy of the vegetation map layer for those map classes representing U.S. National Vegetation Classification associations. The accuracy assessment field data...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Accuracy Assessment,
Data Collection,
Katahdin Woods and Waters National Monument,
Maine,
Map,
The vegetation spatial database coverage (vegetation map) is a product of the Effigy Mounds National Monument Vegetation Mapping Project, USGS-NPS Vegetation Mapping Program (VMP). The U.S. Geological Survey (USGS) Upper Midwest Environmental Sciences Center (UMESC) in La Crosse, Wisconsin, and the Minneapolis Office of NatureServe in Minneapolis, Minnesota, have completed mapping and classification of existing plant communities of Effigy Mounds National Monument (EFMO) and extended surroundings. Photointerpreters, ecologists, and botanists collaborated to describe National Vegetation Classification System (NVCS) plant communities (associations) and determine how best to map them using aerial photographs. --- Two...
During summer 2019, botanists with the Maine Natural Areas Program collected data from 94 vegetation plots for plant community characterization. The sampling data were entered into the National Park Service PLOTS version 4.0 (National Park Service 2015) for analyses to characterize vegetation associations in the U.S. National Vegetation Classification. An accuracy assessment was performed on the draft version of the vegetation map layer. During the summer of 2020, field crews collected data from 107 stratified and randomly selected sites for evaluating the accuracy of the vegetation map layer for those map classes representing U.S. National Vegetation Classification associations. The accuracy assessment field data...
Categories: Data;
Tags: Accuracy Assessment,
Data Collection,
Katahdin Woods and Waters National Monument,
Maine,
Map,
The Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project was initiated in the fall of 2019 by a grant through the USGS Natural Resource Preservation Program to classify and map vegetation types of the Seboeis Unit thereby providing resource managers and biological researchers with useful baseline vegetation information. The Study Area Boundary (SAB) for this project is similar to, but not exactly the same as, the official boundary for the Seboeis Unit. Because of uncertainty on the exact location of the Seboeis Unit boundary, mapping may have occurred beyond the official boundary. Additionally, this SAB is based upon the Seboeis Unit boundary as it appeared in September of 2019.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Katahdin Woods and Waters National Monument,
Maine,
Map,
NVCS,
National Park Service,
The National Park Service (NPS) Vegetation Inventory Program (VIP) is an effort to classify, describe, and map existing vegetation of national park units as part of generating baseline data products for the NPS Natural Resources Inventory and Monitoring Program. Plot data were collected during field visits to SAJH during the summer of 2010 and spring of 2011. Vegetation polygons were initially developed using aerial photography within ArcGIS. These polygons were modified based on field work conducted during the summer of 2010 and spring of 2011. The small extent of the park allowed classification data collection to occur simultaneously with field-based mapping. Prior to conducting field visits, existing vegetation...
This non-spatial table provides a coarse link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification is consistently...
This set of non-spatial tables provides a detailed link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Four polygon vector data sets and one related table describe land-cover in Red Rock Canyon National Conservation Area (RRC_NCA_p) and Coyote Springs (CS_ACEC_p), Piute-Eldorado Valley (PEV_ACEC_p), and Mormon Mesa (MM_ACEC_p) Areas of Critical Environmental Concern, Clark County, Nevada. One polygon vector data set per Area is attributed with land- cover at the vegetation stand level (abbreviated with a stand code) and the corresponding...
The geographic information system (GIS) format spatial data set of vegetation for Buffalo National River (BUFF) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The BUFF administrative boundary covers an area of nearly 38,000 ha. The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification Standard (NVCS) Version 2. Physiognomic information was also recorded, including height (woody vegetation), canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in October of 2006 and extensive field...
This set of non-spatial tables provides a detailed link (crosswalk) between the general classification within Long Term Resource Monitoring (LTRM) land cover/use (LCU) geospatial layers and the U.S. National Vegetation Classification (USNVC), current as of April 2017. The Upper Mississippi River Restoration (UMRR) Program’s LTRM element has produced LCU data over the past three decades consisting of geospatial layers (maps) showing locations of vegetation and developed lands within the Upper Mississippi River System (UMRS). The LCU data layers contain a classification of 31 general classes specifically developed to meet needs and objectives of the LTRM element of the UMRR Program. Because the LTRM classification...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Illinois,
Iowa,
LCU,
Land Cover/Use,
Long Term Resource Monitoring,
The geographic information system (GIS) format spatial data set of vegetation for Grand Portage National Monument (GRPO) was created by the National Park Service (NPS) Vegetation Inventory Program (VIP). The GRPO covers an area of approximately 291.8 ha (721.1 acres). The map classification scheme used to create the vegetation data set is designed to represent local plant communities at the finest level possible using the National Vegetation Classification System. Physiognomic information was also recorded, including tree height, canopy density, and coverage patterns. The vegetation data set was developed by interpreting aerial photographs collected in 2006 and extensive field surveys. Individuals who cooperated...
The geographic information system (GIS) format spatial data set of vegetation for Indiana Dunes National Lakeshore (INDU) was created by the U.S. Geological Survey (USGS)-National Park Service (NPS) Vegetation Mapping Program (VMP). The INDU covers an area of approximately 37,050 ha (15,000 acres), and includes approximately 15 miles of Lake Michigan shoreline. Indiana Dunes National Lakeshore is divided into seven units (East Unit, West Unit, Calumet Prairie, Heron Rookery, Hobart Prairie Grove, Hoosier Prairie, and Pinhook Bog). The map classification scheme used to create the vegetation data set is designed to represent local plant communities at the finest level possible using the National Vegetation Classification...
The geographic information system (GIS) format spatial data set of vegetation for Waterton Lakes National Park (WLNP) was created by the U.S. Geological Survey (USGS)-National Park Service (NPS) Vegetation Mapping Program (VMP) for the Waterton-Glacier International Peace Park (WGIPP). The WGIPP covers an area of approximately 458,556 ha (1,133,116 acres), and includes approximately 30.5 km (19 miles) of the Canada-United States International Boundary. The Canadian portion of this park (WLNP) is located in southwest Alberta, Canada. The map classification scheme used to create the vegetation data set is designed to represent local plant communities at the finest level possible using the National Vegetation Classification...
During summer 2019, botanists with the Maine Natural Areas Program collected data from 94 vegetation plots for plant community characterization. The sampling data were entered into the National Park Service PLOTS version 4.0 (National Park Service 2015) for analyses to characterize vegetation associations in the U.S. National Vegetation Classification. An accuracy assessment was performed on the draft version of the vegetation map layer. During the summer of 2020, field crews collected data from 107 stratified and randomly selected sites for evaluating the accuracy of the vegetation map layer for those map classes representing U.S. National Vegetation Classification associations. The accuracy assessment field data...
Categories: Data;
Tags: Accuracy Assessment,
Data Collection,
Katahdin Woods and Waters National Monument,
Maine,
Map,
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This geodatabase consists of a point feature class and related tables representing sample sites where vegetation data were collected from 2007 to 2013 in Clark and Lincoln Counties, Nevada. Samples are identified with a vegetation stand name and classified from the alliance to the class level of the National Vegetation Classification Standard (NVC; Federal Geographic Data Committee, 2008). The database is also available in tabular...
Alliance-based vegetation map for Lewis and Clark National Historical Park produced by the Institute for Natural Resources at Portland State University. Part of the Vegetation Mapping Program of the Inventory and Monitoring program at NPS. Several imagery sources were used to construct the vegetation map. LiDAR, SPOT 4, NAIP, and LANDSAT were available for the majority of the project area, with only a few places in Washington lacking LiDAR data. The eCognition software package and Berkley Imaging Segmentation was used to create the initial image segments and polygon map used to aid in collection of field training data. The mean values of various variable inputs were summarized by each of the image segments in addition...
The Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project was initiated in the fall of 2019 by a grant through the USGS Natural Resource Preservation Program to classify and map vegetation types of the Seboeis Unit thereby providing resource managers and biological researchers with useful baseline vegetation information. This layer provides the vegetation map for the Seboeis Unit. Information for this layer was collected in 2019 and 2020. After completion of the accuracy assessment process, 33 map classes represent the Seboeis Unit of the monument. Of the 33 map classes that represent the Seboeis Unit, 28 represent natural (including ruderal) vegetation types, consisting of 50 U.S....
The geographic information system (GIS) format spatial data set of vegetation for Saint Croix National Scenic Riverway (SACN) was created for the National Park Service (NPS) Vegetation Inventory Program (VIP). The SACN administrative boundary covers an area of nearly 39,500 ha. The project boundary for the SACN vegetation mapping project covers an areas of just over 68,200 ha with the approximate 300 m buffer. The map classification scheme used to create the vegetation data set is designed to represent local vegetation types at the finest level possible using the National Vegetation Classification Standard (NVCS) Version 2. Physiognomic information was also recorded, including height (woody vegetation), canopy density,...
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