These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Saguaro National Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Guadalupe Mountains National Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Guadalupe Mountains National Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Saratoga National Historical Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

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 products are designed with the goal of facilitating ecologically-based natural resources management and research. The vector (polygon) map is in digital format within a geodatabase structure that allows for complex relationships to be established between spatial and tabular data, and allows much of the data to be accessed concurrently. Each map unit has multiple photo attachments viewable easily from within the geodatabase, linked to their actual location on the ground. The Geographic Information System (GIS) format of the map allows user flexibility and will also enable updates to be made as new information becomes available (such as revised NVC codes or vegetation type names) or in the event of major disturbance events that could impact the vegetation. Unlike previous vegetation maps created by SODN, the map for Saguaro National Park was not created via in-situ mapping. Instead, we employed a remote sensing approach aided by our robust field dataset. The final version of the map was created in summer 2016. The map was created using the image-classification toolbox included in the spatial analyst extension for ArcMap (ESRI 2017). Using these tools, we performed a supervised classification with the maximum-likelihood classifier. This tool uses a set of user-defined training samples (polygons) to classify imagery by placing pixels with the maximum likelihood into each map class. We used a pixel size equivalent to the coarsest raster included in the classification, 30 meters.

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 products are designed with the goal of facilitating ecologically-based natural resources management and research. The vector (polygon) map is in digital format within a geodatabase structure that allows for complex relationships to be established between spatial and tabular data, and allows much of the data to be accessed concurrently. Each map unit has multiple photo attachments viewable easily from within the geodatabase, linked to their actual location on the ground. The Geographic Information System (GIS) format of the map allows user flexibility and will also enable updates to be made as new information becomes available (such as revised NVC codes or vegetation type names) or in the event of major disturbance events that could impact the vegetation. Unlike previous vegetation maps created by SODN, the map for Saguaro National Park was not created via in-situ mapping. Instead, we employed a remote sensing approach aided by our robust field dataset. The final version of the map was created in summer 2016. The map was created using the image-classification toolbox included in the spatial analyst extension for ArcMap (ESRI 2017). Using these tools, we performed a supervised classification with the maximum-likelihood classifier. This tool uses a set of user-defined training samples (polygons) to classify imagery by placing pixels with the maximum likelihood into each map class. We used a pixel size equivalent to the coarsest raster included in the classification, 30 meters.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Salinas Pueblo Missions National Monument. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.

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. PAG imagery was acquired, at no cost, in the form of natural-color, 1-foot resolution aerial photos. Although these did not contain a near-infrared (NIR) band, which can be useful for visually identifying vegetation in certain environments, the resolution was such that individual shrub canopies and cacti shadows were visible, which proved far more useful in the park’s sparsely vegetated desert areas. At the RMD, multiple remote-sensing mapping efforts were used throughout this project. Not all were fully successful, but the project team learned from each of them. The same PAG imagery that was available for the TMD also covered the RMD, in the form of natural-color, aerial photos of 1-foot resolution from 2011. The RMD had also recently been surveyed using Light Detection and Ranging (LiDAR). These raw data were made available to us and our project partners at no cost. The LiDAR measurements, contracted by the Pima Association of Governments in 2008 and 2011, were collected by Sanborn, Inc. The 2008 measurements encompassed portions of eastern Pima County and the western half of the RMD. The 2011 measurements included the eastern half of the RMD, providing a complete dataset for the study area.

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. PAG imagery was acquired, at no cost, in the form of natural-color, 1-foot resolution aerial photos. Although these did not contain a near-infrared (NIR) band, which can be useful for visually identifying vegetation in certain environments, the resolution was such that individual shrub canopies and cacti shadows were visible, which proved far more useful in the park’s sparsely vegetated desert areas. At the RMD, multiple remote-sensing mapping efforts were used throughout this project. Not all were fully successful, but the project team learned from each of them. The same PAG imagery that was available for the TMD also covered the RMD, in the form of natural-color, aerial photos of 1-foot resolution from 2011. The RMD had also recently been surveyed using Light Detection and Ranging (LiDAR). These raw data were made available to us and our project partners at no cost. The LiDAR measurements, contracted by the Pima Association of Governments in 2008 and 2011, were collected by Sanborn, Inc. The 2008 measurements encompassed portions of eastern Pima County and the western half of the RMD. The 2011 measurements included the eastern half of the RMD, providing a complete dataset for the study area.

These data were converted from the originally delivered Microsoft Access PLOTs database from the Vegetation Mapping Inventory Project of Mesa Verde National Park. These comma-delimited data tables contain(s) vegetation mapping plot classification and accuracy assessment data, as well as summary information about the data itself. If a table is empty, then it was empty in the original database.