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This data layer identifies location and boundaries for 100 randomly located plots used to assess the accuracy of a vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands.
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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...
Despite widespread and long-standing efforts to model wildlife-habitat associations using remotely sensed and other spatially explicit data, there are relatively few evaluations of the performance of variables included in predictive models relative to actual features on the landscape. As part of the National Gap Analysis Program, we specifically examined physical site features at randomly selected sample locations in the Southwestern U.S. to assess degree of concordance with predicted features used in modeling vertebrate habitat distribution. Our analysis considered hypotheses about relative accuracy with respect to 30 vertebrate species selected to represent the spectrum of habitat generalist to specialist and...
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High resolution vegetation polygons mapped by the National Park Service. The vegetation units of this map were determined through stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signatures and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation primarily reflects conditions that existed during 1994 and 1995. Several sets of aerial photography were utilized for this project: 1) NOAA 1:24,000 March 1994 Natural Color Prints (Leaf Off) covering...
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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...
We evaluated the effects of probabilistic (hereafter DESIGN) and non-probabilistic (PURPOSIVE) sample surveys on resultant classification tree models for predicting the presence of four lichen species in the Pacific Northwest, USA. Models derived from both survey forms were assessed using an independent data set (EVALUATION). Measures of accuracy as gauged by resubstitution rates were similar for each lichen species irrespective of the underlying sample survey form. Cross-validation estimates of prediction accuracies were lower than resubstitution accuracies for all species and both design types, and in all cases were closer to the true prediction accuracies based on the EVALUATION data set. We argue that greater...
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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...
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Data set is a Microsoft Excel spreadsheet containing observations of marbled murrelet activity in forest sites in the Oregon Coast Range. Data were collected in 1994, 1996 and 1997.
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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. These data are the results of the field effort to collect accuracy assessment data for testing the Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project vegetation map. Data collection was assisted by Jennifer Tibbetts, David Rubin, and Tiffany Reese. An accuracy assessment was performed on the draft version of the vegetation map layer....
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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...
Despite widespread and long-standing efforts to model wildlife-habitat associations using remotely sensed and other spatially explicit data, there are relatively few evaluations of the performance of variables included in predictive models relative to actual features on the landscape. As part of the National Gap Analysis Program, we specifically examined physical site features at randomly selected sample locations in the Southwestern U.S. to assess degree of concordance with predicted features used in modeling vertebrate habitat distribution. Our analysis considered hypotheses about relative accuracy with respect to 30 vertebrate species selected to represent the spectrum of habitat generalist to specialist and...
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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...
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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....
This data layer identifies location and boundaries for 100 randomly located plots used to assess the accuracy of the Hakalau Forest Unit (HFU) map area for the vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands.
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This data set includes an accuracy assessment of the repeatability of identifying heavy to severe tree canopy dieback in virtual plots located within the Ohia Dieback 83,603 hectare study area.
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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....


    map background search result map search result map Daily activity of Marbled Murrelets at inland forest sites in the Oregon Coast Range San Francisco Vegetation (GGNRA, 2009) Lewis and Clark National Historical Park Vegetation Mapping Project - Spatial Vegetation Data San Juan Island National Historical Park Vegetation Mapping Project - Spatial Vegetation Data Ohia Dieback Study - Canopy Status Accuracy Assessment Accuracy assessment plots for the full map area for the vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands, island of Hawaii, 2016 Accuracy assessment plots for the Hakalau Forest Unit (HFU) map area for the vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands, island of Hawaii, 2016 Katahdin Woods and Waters National Monument Seboeis Unit Accuracy Assessment Site Field Datasheet and Field Photos Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Map Polygons Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Accuracy Assessment Sites and Vegetation Plots Field Data Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Project Geodatabase Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Accuracy Assessment Sites and Vegetation Plots Field Data Species List Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) Katahdin Woods and Waters National Monument Seboeis Unit Accuracy Assessment Site Field Datasheet and Field Photos Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Accuracy Assessment Sites and Vegetation Plots Field Data Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Accuracy Assessment Sites and Vegetation Plots Field Data Species List Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Map Polygons Accuracy assessment plots for the Hakalau Forest Unit (HFU) map area for the vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands, island of Hawaii, 2016 Accuracy assessment plots for the full map area for the vegetation map of the Hakalau Forest National Wildlife Refuge Hakalau Forest Unit and adjacent lands, island of Hawaii, 2016 Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Project Geodatabase Lewis and Clark National Historical Park Vegetation Mapping Project - Spatial Vegetation Data San Francisco Vegetation (GGNRA, 2009) Ohia Dieback Study - Canopy Status Accuracy Assessment Daily activity of Marbled Murrelets at inland forest sites in the Oregon Coast Range