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Zone ve flood insurance cost9/17/2023 You'll use this common field to join these data sources later.įEMA encourages conservative estimations of OSP-eligible area per parcel. It is also is the same as the OBJECTID field in the PADUS_CRS_attrib table. It is the same attribute as the Value field in the PADUS_CRS_final.tif attribute table. The MAJORITY column summarizes the most common value found in the PADUS_CRS_final raster cells within each parcel. The AREA column summarizes the area in square meters. The table includes statistics per unique PARCEL_ID. This field will be used later to join the parcel tables. The majority statistic summarizes the most common value found in all the PADUS_CRS_final raster cells within each parcel. The Zonal Statistics geoprocessing tool allows you to calculate a variety of statistics, including mean and median, within a defined area. Once you have this information, you'll join the tables to the parcel and raster datasets. Zonal statistics will calculate the majority statistic for a specified boundary layer, which is the same as the value attribute you gave your PADUS_CRS_final.tif layer in the previous tutorial. Since the acreage calculated also needs to be joined back to the raster data for final analysis, you'll run zonal statistics. Now, pursuant to the requirements of the CRS review process, you need to determine the acreage of eligible open space per parcel in your community. Previously, you filtered the national raster based on your desired impervious surface threshold and clipped to your area of interest. Once you finish clipping and modifying the raster, you'll save it to your project. ![]() Because you're using portal data instead of locally saved data, you'll need to use raster functions instead of the similar geoprocessing tools. On the fly means that the clip is performed every time you need to access the data, rather than only once so that you must save the results. Then, you'll use on-the-fly processing to clip the data to your community boundary and regulatory floodplain. This process will remove impervious surfaces that are ineligible for the program. Then, you'll use a raster processing template to filter out raster cells below a certain value. Now that you've seen the community data available, you'll add the Open Space Preservation Community Rating System raster image service to your map. Modify a raster image service processing template Lookup tables such as this provide an efficient way to store a lot of information. Due to the amount of records, you'll filter the national scale dataset before you join this information back to the data. Download and open the projectįirst, you'll download and familiarize yourself with the data for your community, Georgetown County, South Carolina.Įach unique OBJECTID contains all the attributes for the Protected Areas Database of the United States (PADUS) that you'll eventually join to your parcel data. Finally, you'll save the ArcGIS Living Atlas raster locally and create an attribute table for it. Then you'll clip the raster so you only have your county of interest. First, you'll filter out impervious surfaces. You'll use a ArcGIS Living Atlas raster image of the United States and raster functions to prepare it for parcel-scale analysis. This data is more readily available at a national scale. In many cases, it's difficult to obtain the detailed large-scale data needed for floodplain analysis.
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