| snippet:
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The Sparks Urban Tree Canopy (UTC) Assessment provides an analysis of current tree canopy extent and possible planting area (PPA) using geographic information systems (GIS). |
| summary:
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The Sparks Urban Tree Canopy (UTC) Assessment provides an analysis of current tree canopy extent and possible planting area (PPA) using geographic information systems (GIS). |
| extent:
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[[-119.780791207192,39.511991189188],[-119.653826363037,39.6366398341373]] |
| accessInformation:
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Nevada Division of Forestry, Davey Resource Group |
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true |
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thumbnail/thumbnail.png |
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["ArcGIS","ArcGIS Server","Data","Map Service","Service"] |
| description:
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Davey Resource Group utilized an object-based image analysis (OBIA) semi-automated feature extraction method to process and analyze current high-resolution color infrared (CIR) aerial imagery and remotely-sensed data to identify tree canopy cover and land cover classifications. The use of imagery analysis is cost-effective and provides a highly accurate approach to assessing your community's existing tree canopy coverage. This supports responsible tree management, facilitates community forestry goal-setting, and improves urban resource planning for healthier and more sustainable urban environments. Advanced image analysis methods were used to classify, or separate, the land cover layers from the overall imagery. The semi-automated extraction process was completed using Feature Analyst, an extension of ArcGIS®. Feature Analyst uses an object-oriented approach to cluster together objects with similar spectral (i.e., color) and spatial/contextual (e.g., texture, size, shape, pattern, and spatial association) characteristics. The land cover results of the extraction process was post-processed and clipped to each project boundary prior to the manual editing process in order to create smaller, manageable, and more efficient file sizes. Secondary source data, high-resolution aerial imagery provided by each UTC city, and custom ArcGIS® tools were used to aid in the final manual editing, quality checking, and quality assurance processes (QA/QC). The manual QA/QC process was implemented to identify, define, and correct any misclassifications or omission errors in the final land cover layer. |
| licenseInfo:
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These data are provided by the Nevada Division of Forestry (NDF) “as is” and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User’s intended use. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by the NDF. This information may be updated without notification. The Nevada Division of Forestry (NDF) assumes no responsibility for errors or omissions. No warranty is made by the NDF as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Even though these data have been processed successfully, no warranty, expressed or implied, is made by the NDF regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the NDF have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by the NDF. |
| catalogPath:
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|
| title:
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2022 Sparks Urban Tree Canopy Assessment |
| type:
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Map Service |
| url:
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|
| tags:
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["data"] |
| culture:
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en-US |
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|
| name:
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2022_Sparks_Urban_Tree_Canopy_Assessment |
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WGS_1984_Web_Mercator_Auxiliary_Sphere |