CMS-Flow:Grid Generation: Difference between revisions

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== Steps for Reprocessing Elevation Data==
== Steps for Reprocessing Elevation Data==
# Select the project horizontal and vertical datums and projections
# Select the project horizontal and vertical datums and projections
# If necessary convert bathymetric/topographic input files to the correct projection and datums
# If necessary, convert bathymetric/topographic input files to the correct projection and datums
# Checking dataset coverages
# If necessary, thin the input scatter sets so that it is more manageable to work with. This is especially important for dense data like LIDAR or mulibeam data. There are several ways of thinning the data, such as binning, merging nearby points, skipping points or using a critical slope.
## Bring each bathymetric/topographic dataset into SMS
# Checking data set coverages
## If two datasets overlap select the dataset taken closer to the simulation period
## Bring each bathymetric/topographic data set into SMS
## Delete the correct dataset in the overlapping regions
## If two data sets overlap select the data set taken closer to the simulation period
## Delete the correct data set in the overlapping regions
# Outlier removal
# Outlier removal
## If available, bring in aerial photographs or satellite images into SMS. This is very helpful for orienting and determining outlier points.  
## If available, bring in aerial photographs or satellite images into SMS. This is very helpful for orienting and determining outlier points.  
## Zoom-in to an individual dataset
## Zoom-in to an individual data set
## Set the contour color scheme for the scatterset to a narrow range so that outliers can easily be spotted.  
## Set the contour color scheme for the scatter set to a narrow range so that outliers can easily be spotted.  
## Delete outlier points
## Delete outlier points
# Save individual datsets with a different name
# Save individual data sets with a different name

Revision as of 18:17, 16 November 2010

Grid Generation

Steps for Reprocessing Elevation Data

  1. Select the project horizontal and vertical datums and projections
  2. If necessary, convert bathymetric/topographic input files to the correct projection and datums
  3. If necessary, thin the input scatter sets so that it is more manageable to work with. This is especially important for dense data like LIDAR or mulibeam data. There are several ways of thinning the data, such as binning, merging nearby points, skipping points or using a critical slope.
  4. Checking data set coverages
    1. Bring each bathymetric/topographic data set into SMS
    2. If two data sets overlap select the data set taken closer to the simulation period
    3. Delete the correct data set in the overlapping regions
  5. Outlier removal
    1. If available, bring in aerial photographs or satellite images into SMS. This is very helpful for orienting and determining outlier points.
    2. Zoom-in to an individual data set
    3. Set the contour color scheme for the scatter set to a narrow range so that outliers can easily be spotted.
    4. Delete outlier points
  6. Save individual data sets with a different name
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