| Label | Explanation | Data Type |
Input Raster | The raster dataset to orthorectify. The raster must have RPCs in its metadata. | Raster Layer |
Output Raster Dataset | The name, location, and format of the dataset to be created. When storing the raster dataset in a file format, specify the file extension as follows:
When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing a raster dataset to a JPEG format file, a JPEG 2000 format file, or a geodatabase, you can specify a Compression Type value and a Compression Quality value in the geoprocessing environments. | Raster Dataset |
Orthorectification Type | The DEM or specified value that represents the average elevation across the image.
| String |
Constant Elevation (Meters) | The constant elevation value to be used when the Orthorectification Type parameter is Constant elevation. If a DEM is used in the orthocorrection process, this value is not used. | Double |
DEM Raster (Optional) | The DEM raster to be used for orthorectification when the Orthorectification Type parameter is DEM | Mosaic Layer; Raster Layer |
Z Factor (Optional) | The scaling factor used to convert the elevation values in the DEM. If your vertical units are meters, set the Z Factor to 1. If your vertical units are feet, set the Z Factor to 0.3048. If any other vertical units are used, use the Z Factor to scale the units to meters. | Double |
Z Offset (Optional) | The base value to be added to the elevation value in the DEM. This can be used to offset elevation values that do not start at sea level. | Double |
Geoid (Optional) | Specifies whether the geoid correction required by RPCs that reference ellipsoidal heights will be made. Most elevation datasets are referenced to sea level orthometric heights, so this correction is required in these cases to convert to ellipsoidal heights.
| Boolean |
Summary
Creates an orthocorrected raster dataset by incorporating elevation data and the rational polynomial coefficients (RPC) associated with satellite data to accurately line up imagery.
Usage
To orthocorrect a raster dataset, the raster must have RPCs associated with it.
For a more accurate result, use the digital elevation model (DEM) option for elevation. Use a DEM in the orthocorrection process to correct geometric errors caused by relief displacement.
Using a constant elevation value for the Orthorectification Type parameter will not yield accurate results and should only be used when no DEM is available and approximate spatial accuracy is acceptable.
You can save the output to BIL, BIP, BMP, BSQ, DAT, Esri Grid, GIF, IMG, JPEG, JPEG 2000, PNG, TIFF, MRF, or CRF format, or any geodatabase raster dataset.
Satellite RPCs require a DEM referenced to ellipsoidal heights, but most elevation data (such as USGS NED and ArcGIS Online World Elevation) are referenced to sea level orthometric heights. Check the Geoid parameter (GEOID in Python) to orthorectify with RPCs unless your DEM is referenced to an ellipsoidal height.
Parameters
arcpy.management.CreateOrthoCorrectedRasterDataset(in_raster, out_raster_dataset, Ortho_type, constant_elevation, {in_DEM_raster}, {ZFactor}, {ZOffset}, {Geoid})| Name | Explanation | Data Type |
in_raster | The raster dataset to orthorectify. The raster must have RPCs in its metadata. | Raster Layer |
out_raster_dataset | The name, location, and format of the dataset to be created. When storing the raster dataset in a file format, specify the file extension as follows:
When storing a raster dataset in a geodatabase, do not add a file extension to the name of the raster dataset. When storing a raster dataset to a JPEG format file, a JPEG 2000 format file, or a geodatabase, you can specify a Compression Type value and a Compression Quality value in the geoprocessing environments. | Raster Dataset |
Ortho_type | The DEM or specified value that represents the average elevation across the image.
| String |
constant_elevation | The constant elevation value to be used when the Ortho_type parameter is CONSTANT_ELEVATION. If a DEM is used in the orthocorrection process, this value is not used. | Double |
in_DEM_raster (Optional) | The DEM raster to be used for orthorectification when the Ortho_type parameter is DEM. | Mosaic Layer; Raster Layer |
ZFactor (Optional) | The scaling factor used to convert the elevation values in the DEM. If your vertical units are meters, set the ZFactor to 1. If your vertical units are feet, set the Factor to 0.3048. If any other vertical units are used, use the ZFactor to scale the units to meters. | Double |
ZOffset (Optional) | The base value to be added to the elevation value in the DEM. This can be used to offset elevation values that do not start at sea level. | Double |
Geoid (Optional) | Specifies whether the geoid correction required by RPCs that reference ellipsoidal heights will be made. Most elevation datasets are referenced to sea level orthometric heights, so this correction is required in these cases to convert to ellipsoidal heights.
| Boolean |
Code sample
This is a Python sample for the CreateOrthoCorrectedRasterDataset tool.
import arcpy
arcpy.CreateOrthoCorrectedRasterDataset_management("c:/data/RPCdata.tif",
"c:/data/orthoready.tif",
"DEM", "#", "c:/data/DEM.img",
"#", "10", "GEOID")This is a Python script sample for the CreateOrthoCorrectedRasterDataset tool.
##====================================
##Create Ortho Corrected Raster Dataset
##Usage: CreateOrthoCorrectedRasterDataset_management in_raster out_raster_dataset
## CONSTANT_ELEVATION | DEM constant_ elevation
## in_DEM_raster {ZFactor} {ZOffset} {NONE | GEOID}
import arcpy
arcpy.env.workspace = "C:/Workspace"
##Ortho correct with Constant elevation
arcpy.CreateOrthoCorrectedRasterDataset_management("ortho.img", "orthoready.tif",\
"CONSTANT_ELEVATION", "30", "#",\
"#", "#", "#")
##Ortho correct with DEM image and Z factors
arcpy.CreateOrthoCorrectedRasterDataset_management("ortho.img", "orthoready_dem.tif",\
"DEM", "#", "dem.img", "#", "10", "GEOID")Environments
Licensing information
- Basic: Yes
- Standard: Yes
- Advanced: Yes