Identify Contours (Topographic Production)—ArcGIS Pro

Synthèse

Identifies types of contours and applies hypsographic codes to input features.

Utilisation

This tool processes each input contour and identifies the contour type. It uses the underlying raster and contour features to identify the type of contour. It then updates the contour code field with the appropriate domain code.
This tool identifies the following types of contours:
- Index
- Intermediate
- Depression index
- Depression intermediate

Attention :

Cet outil modifie les données en entrée. Pour plus d’informations et connaître les stratégies permettant d’empêcher les modifications de données indésirables, reportez-vous à la rubrique Outils qui modifient ou mettent à jour les données en entrée.

If more than one input raster is used, all input rasters must have the same cell size, band count, and pixel type. All input rasters should also use the same elevation units (meters or feet).
If the Number of Depression Contours to Identify parameter value is negative or zero, the tool will not run.

Paramètres

Étiquette	Explication	Type de données
Input Contours	The input contours that will be updated with the specified contour codes.	Feature Layer
Input Rasters	The rasters that will be used to derive elevations of points inside contours to correctly identify the types of contours.	Raster Layer; Mosaic Layer
Contour Height field	The field in the input contour feature class that contains elevation values. This field type must be numeric.	Field
Contour Code field	The field in the input contour feature class that will be updated with the appropriate domain code.	Field
Contour Index Interval (Facultatif)	The interval or distance between index contour lines. The default is 100.	Long
Index Code (Facultatif)	The value that will be used to populate the Contour Code field parameter value when index contours are identified. The default is 1.	String
Intermediate Code (Facultatif)	The value that will be used to populate the Contour Code field parameter value when intermediate contours are identified. The default is 2.	String
Depression Code (Facultatif)	The value that will be used to populate the Contour Code field parameter value when depression contours are identified. The default is 5.	String
Depression Intermediate Code (Facultatif)	The value that will be used to populate the Contour Code field parameter value when depression intermediate contours are identified. The default is 6.	String
Number of Depression Contours to Identify (Facultatif)	The number of contours in a depression that will be coded as depressions. The value provided must be greater than zero. If no value is provided, all of the contours in the depression will be coded as depressions.	Long
Area of Interest (Facultatif)	The layer that defines the processing extent. The layer must have only one selected feature.	Layer
Z Factor (Facultatif)	The conversion factor that will be used to convert the contour elevation value unit of measurement to match the raster's unit of measurement. The default is 1. For example, if the elevation values in the input raster are in meters but the contours are in feet, set the z-factor to 3.28084 (1 meter = 3.28084 feet).	Double

Sortie obtenue

Étiquette	Explication	Type de données
Updated Contours	The contour feature class where contour codes were updated.	Feature Layer

arcpy.topographic.IdentifyContours(in_contour_features, in_rasters, contour_height_field, contour_code_field, {contour_index_interval}, {index_code}, {intermediate_code}, {depression_code}, {depression_intermediate_code}, {depression_contours_count}, {area_of_interest}, {z_factor})

Nom	Explication	Type de données
in_contour_features	The input contours that will be updated with the specified contour codes.	Feature Layer
in_rasters [in_rasters,...]	The rasters that will be used to derive elevations of points inside contours to correctly identify the types of contours.	Raster Layer; Mosaic Layer
contour_height_field	The field in the input contour feature class that contains elevation values. This field type must be numeric.	Field
contour_code_field	The field in the input contour feature class that will be updated with the appropriate domain code.	Field
contour_index_interval (Facultatif)	The interval or distance between index contour lines. The default is 100.	Long
index_code (Facultatif)	The value that will be used to populate the contour_code_field parameter value when index contours are identified. The default is 1.	String
intermediate_code (Facultatif)	The value that will be used to populate the contour_code_field parameter value when intermediate contours are identified. The default is 2.	String
depression_code (Facultatif)	The value that will be used to populate the contour_code_field parameter value when depression contours are identified. The default is 5.	String
depression_intermediate_code (Facultatif)	The value that will be used to populate the contour_code_field parameter value when depression intermediate contours are identified. The default is 6.	String
depression_contours_count (Facultatif)	The number of contours in a depression that will be coded as depressions. The value provided must be greater than zero. If no value is provided, all of the contours in the depression will be coded as depressions.	Long
area_of_interest (Facultatif)	The layer that defines the processing extent. The layer must have only one selected feature.	Layer
z_factor (Facultatif)	The conversion factor that will be used to convert the contour elevation value unit of measurement to match the raster's unit of measurement. The default is 1. For example, if the elevation values in the input raster are in meters but the contours are in feet, set the z-factor to 3.28084 (1 meter = 3.28084 feet).	Double

Sortie obtenue

Nom	Explication	Type de données
updated_contour_features	The contour feature class where contour codes were updated.	Feature Layer

Exemple de code

IdentifyContours example (stand-alone script)

This Python stand-alone sample codes contours with proper attribution for Index, Intermediate, and Depression contours.

# Name: IdentifyContours_sample.py
# Description: Coding contours with proper attribution for Index, Intermediate, and Depression contours

# Import System Modules
import arcpy

# Check Out Extensions
arcpy.CheckOutExtension('Foundation')

# Setting the environment
arcpy.env.overwriteOutput = True

# Create feature layer for area of interest and select a single feature based on the NRN field
arcpy.management.MakeFeatureLayer(r'C:\Data\MapIndex.gdb\MapIndex\TM50_Index','TM50')
arcpy.management.SelectLayerByAttribute('TM50', "NEW_SELECTION", "NRN = 'V7914X17562'", None)

# Setting Local Variables
in_contour_features = r'C:\Data\TDS_7_1.gdb\TDS_CARTO\HypsographyCrv'
in_rasters = r'C:\Data\Monterey.dt2'
contour_height_field = 'ZVH'
contour_code_field = 'HQC'
contour_index_interval = 100
index_code = 1
intermediate_code = 2
depression_code = 5
depression_intermediate_code = 6
depression_contours_count = None
area_of_interest = 'TM50'
z_factor = 1

# Calling the Identify Contours to properly attribute contours in HypsographyCrv feature class
arcpy.topographic.IdentifyContours(in_contour_features, in_rasters, contour_height_field, contour_code_field, contour_index_interval, index_code, intermediate_code, depression_code, depression_intermediate_code, depression_contours_count, area_of_interest, z_factor)

# Check In Extensions
arcpy.CheckInExtension('Foundation')

Environnements

Étendue

Informations de licence

Basic: Non
Standard: Nécessite Production Mapping
Advanced: Nécessite Production Mapping

Synthèse

Utilisation

Attention :

Paramètres

Sortie obtenue

Sortie obtenue

Exemple de code

Environnements

Informations de licence

Rubriques connexes

Dans cette rubrique