Web services > LiDAR > Washington (State)--Seattle > 2020-2024

DPD council districts shore clip - Possible TC - Vegetation (%) [Washington (State)--Seattle]

City of Seattle ArcGIS Online · 2023 Full Details

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Full Details

Title
DPD council districts shore clip - Possible TC - Vegetation (%) [Washington (State)--Seattle]
Description
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction. University of Vermont Spatial Analysis Laboratory This dataset consists of City of Seattle Council District areas as they existed in the first comparison year (2016) which cover the following tree canopy categories: Existing tree canopy percent Possible tree canopy - vegetation percent Relative percent change Absolute percent change For more information, please see the 2021 Tree Canopy Assessment .
Creator
City of Seattle ArcGIS Online
Temporal Coverage
Last Modified: 2023-06-29
Date Issued
2023-06-29
Rights
The University of Vermont makes no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. Although every effort has been made to assure the accuracy of features and their attributes, the University of Vermont is not accountable for any errors or misuse of the data. The data should be used for general mapping purposes only. The City of Seattle makes no representation or warranty as to its accuracy, and in particular, its accuracy as to labeling, dimensions, contours, property boundaries, or placement or location of any map feature thereof.
Access Rights
Public
Format
ArcGIS FeatureLayer
Language
English
Date Added
August 10, 2025
Provenance Statement
The metadata for this resource was last retrieved from Seattle GeoData on 2025-08-24.

Links

Cite and Reference

  • Citation
    City of Seattle ArcGIS Online (2023). DPD council districts shore clip - Possible TC - Vegetation (%) [Washington (State)--Seattle]. . https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::dpd-council-districts-shore-clip-possible-tc-vegetation- (web service)
  • BTAA Geoportal Link

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