20190801
12080100
1.0
ISO 19139 Metadata Implementation Specification GML3.2
TRUE
<p><span>The Prince of Wales Existing Vegetation mapping project
encompasses over 4.2 million acres of Southeastern Alaska—2.3 million of which
are terrestrial. This map was designed to be consistent with the standards
established in the Existing Vegetation Classification and Technical Guide
(Nelson et al. 2015), and to provide baseline information to support project
planning and inform land management of the Prince of Wales and surrounding
islands. The final map comprises seven distinct, integrated feature layers: 1)
vegetation type; 2) tree canopy cover; 3) trees per acre (TPA) for trees ≥ 1’
tall; 4) trees per acre for trees ≥ 6” diameter at breast height (dbh);<span> </span>5) quadratic mean diameter (QMD) for trees ≥
2” dbh; 6) quadratic mean diameter for trees ≥ 9” dbh; and 7) thematic tree
size. The dominance type map consists of 18 classes, including 15 vegetation
classes and 3 other land cover types. Continuous tree canopy cover, TPA, QMD,
and thematic tree size was developed for areas classified as <i>forest</i> on the final vegetation type map
layer. Geospatial data, including remotely sensed imagery, topographic data,
and climate information, were assembled to classify vegetation and produce the
maps. A semi-automated image segmentation process was used to develop the
modeling units (mapping polygons), which delineate homogeneous areas of land
cover. Field plots containing thematic vegetation type and tree size
information were used as reference for random forest prediction models.
Important model drivers included 30 cm orthoimagery collected during the height
of the 2019 growing season, in addition to Sentinel 2 and Landsat 8 satellite
imagery, for vegetation type prediction.<span>
</span>Additionally, detailed tree inventory data were collected at precise
field locations to develop forest metrics for Quality Level 1 (QL1) Light
Detection and Ranging (LiDAR) data. LiDAR information was acquired across
approximately 80% of the project’s land area. Continuous tree canopy cover and
2<sup>nd</sup> order forest metrics (TPA and QMD) were modeled across the LiDAR
coverage area, and subsequently, extrapolated to the full project extent using
Interferometric Synthetic Aperture Radar (IfSAR) as the primary topographic
data source. </span><o:p></o:p></p><p><span style='color:rgb(26, 26, 26); font-family:open_sansregular, sans-serif; font-size:16px;'>Approximately 804 sites were collected during the summer of 2018 by Forest Service personnel. Field sites were selected using several criteria to ensure that representative vegetation conditions were sampled. First, an attempt was made to locate sites in relatively homogeneous areas as perceived from high resolution aerial imagery. Second, sites were large enough (one acre or greater) to capture variation in geospatial data to provide reasonable statistics for a particular sample. Third, sites were placed within 0.25 mile of a road or trail to facilitate accessibility in the field. Spectral and topographic data and an existing landcover map were also used to help capture the range of conditions anticipated to occur within the project area.</span><br /></p>
R10GTACUSDAUSFSPrince of Wales IslandVegetationForest ServiceForestDominance TypeTree SizeCanopy CoverMid-LevelAlaskaRegion 10Tongass National Forest
This application was created to support the Mapping of Existing Vegetation on Tongass - Prince of Wales Island.
Field Data Collection used for Vegetation Mapping.
USDA-USFS-R10-GTAC
<p style='margin-left:1.0in;'>The USDA
Forest Service makes no warranty, expressed or implied, including the
warranties of merchantability and fitness for a particular purpose, nor assumes
any legal liability or responsibility for the accuracy, reliability,
completeness or utility of these geospatial data, or for the improper or
incorrect use of these geospatial data. These geospatial data and related maps
or graphics are not legal documents and are not intended to be used as such.
The data and maps may not be used to determine title, ownership, legal
descriptions or boundaries, legal jurisdiction, or restrictions that may be in
place on either public or private land. Natural hazards may or may not be
depicted on the data and maps, and land users should exercise due caution. The
data are dynamic and may change over time. The user is responsible to verify
the limitations of the geospatial data and to use the data accordingly.<o:p></o:p></p>
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