1. Projection of data - Georeferencing & Subset Creation
Aim: To Understand the Projection, Georeferencing and Subsetting of the data
Required Datasets: Toposheet – Unregistered, Shape file
Software Used:
Procedure:
Steps to georeferenced the sheet:
Clipping Raster Data
Step 1: Prepare the Data
Input Raster: A raster dataset (e.g., satellite image, DEM) you want to clip.
Clip Extent: Define the area of interest. o Use a polygon feature class or shapefile as the mask
Step 2: Open the Clip Raster Tool
Go to the Analysis tab and open the Tools pane.
Search for the Clip Raster tool (under the Data Management Tools > Raster > Raster Processing toolbox).
Step 3: Configure the Clip Raster Tool
Input Raster: Select the raster dataset to clip.
Output Extent: Choose one of the following:
Extent: Manually specify the extent coordinates.
Mask: Select a polygon layer to use as the mask.
Output Raster: Specify the output location and name for the clipped raster.
Clipping Geometry: Checked: Use the shape of the mask polygon to clip the raster (irregular shape).
Unchecked: Clip the raster to a rectangular extent.
Step 4: Run the Tool
Click Run.
The tool outputs a raster clipped to the specified area.
Optional Post-Processing •
Apply appropriate symbology to the clipped raster. Mask any unwanted areas (e.g., NoData values).
Clipping Vector Data
Step 1: Prepare the Data
Input Data: A vector dataset (e.g., shapefile, feature class, or geodatabase feature) that you want to clip.
Clip Feature: A polygon feature representing the area of interest (e.g., administrative boundary, study area).
Step 2: Open the Clip Tool
Go to the Analysis tab and click Tools to open the Geoprocessing pane.
Search for the Clip tool (under the Extract toolbox).
Step 3: Configure the Clip Tool
Input Features: Select the vector dataset you want to clip.
Clip Features: Select the polygon feature that defines the area of interest.
Output Feature Class: Specify the output location and name for the clipped dataset.
Step 4: Run the Tool
Click Run.
The output is a clipped vector dataset containing only the features that intersect the clip boundary.
Optional Post-Processing
Review the output for completeness.
Apply symbology or analyze the clipped data further.
2. Digitization and Thematic mapping
Aim: To create the GIS Data
To Extract the point, line and polygon features
To Build the topology & thematic map
Required Data sets
Images- (registered)
Software Used
General Setup for Creating Vector Data
Step 1: Open a New or Existing Map
Launch ArcGIS Pro and open a project.
Load a basemap (e.g., imagery or topographic) for reference.
Step 2:
Create a New Feature Class To store the vector data you’ll create, setup a new feature class.
Go to the Catalog Pane, Navigate to Databases or the desired geodatabase. Right-click the geodatabase and select New > Feature Class.
Define Feature Class Properties:
Name: Enter a name for your dataset (e.g., "MyPoints", "MyLines", "MyPolygons").
Geometry Type: Choose Point, Polyline (for lines), or Polygon based on the desired vector type.
Coordinate System: Set the appropriate spatial reference (e.g., WGS 1984 or UTM Zone). O
Click Next and define attribute fields (e.g., Name, Type, etc.).
Finish: Click Finish to create the feature class.
Digitizing Point Data
Step 3: Add the New Feature Class to the Map
Drag the new Point feature class from the Catalog Pane onto the map.
Step 4: Start an Editing Session
Go to the Edit tab.
Click Create in the Features group to open the Create Features pane.
Select the Point feature template.
Step 5: Digitize Points
In the map view, click the desired locations to add points.
After each click, the point is added to the map.
Use the Attributes pane to enter attribute values (e.g., Name, Description) for each point.
Step 6: Save Edits • Click Save in the Edit tab to save your work.
Digitizing Line Data
Step 7: Add the New Feature Class to the Map
Drag the Polyline feature class to the map.
Step 8: Start an Editing Session
Go to the Edit tab and click Create.
Select the Polyline feature template.
Step 9: Digitize Lines
Click the map to start drawing a line.
Add vertices by clicking at each desired point.
Double-click or press F2 to finish the line.
Use the Attributes pane to input data for the line.
Step 10: Save Edits
Save your work in the Edit tab.
Digitizing Polygon Data
Step 11: Add the New Feature Class to the Map
Drag the Polygon feature class to the map.
Step 12: Start an Editing Session
Go to the Edit tab and click Create.
Select the Polygon feature template.
Step 13: Digitize Polygons
Click the map to start drawing a polygon.
Add vertices by clicking around the area you want to define.
Close the polygon by double-clicking the starting point or pressing F2.
Use the Attributes pane to assign attributes.
Step 14: Save Edits
Save your work in the Edit tab.
Additional settings for Digitizing
3. Creating Map Layouts in ArcGIS Pro
Aim: Creating a map layout in ArcGIS Pro involves designing a map composition with elements like titles, legends, scale bars, and more.
Required datasets: Basemap, data layers - State-wise Gross Enrolment Ratio & Consumption of total Petroleum Products.
Software Used
Step 1: Prepare Your Map
o Open your project and ensure the map contains all the necessary layers.
o Adjust symbology, labeling, and extent to focus on the area of interest.
2. Set Map Properties:
o Go to the Map tab and set the desired Coordinate System for the map.
Step 2: Add a Layout
o Alternatively, click Custom Page Size to define a specific layout size.
Step 3: Add Map Frames
Step 4: Add Layout Elements
You can enhance the map with the following elements:
Title:
Legend
o Reorder layers or exclude layers.
o Adjust spacing, fonts, and symbols.
Scale Bar
North Arrow
Grids and Graticules
Step 5: Add Text and Other Annotations
• Use the Text tool to add information like map credits, data sources, or disclaimers.
• Insert shapes (e.g., rectangles, circles) for visual enhancements or highlighting areas.
Step 6: Configure Layout Properties
o Page Setup: Define margins and page orientation.
o Printer Settings: Choose the correct print options if printing the map.
Step 7: Finalize and Export
o PDF /PNG /JPEG/ TIFF /Define the export settings, such as resolution (DPI), file format, and quality.
4. Unsupervised classification on ArcGIS Pro
Aim:
Unsupervised classification is a technique used in remote sensing to categorize pixels in an image into clusters or classes based on spectral similarity without using prior knowledge. In ArcGIS Pro, you can perform unsupervised classification using the ISO Cluster Unsupervised Classification tool.
Requirements: Raster dataset (e.g., satellite imagery such as Landsat, Sentinel-2, or high-resolution aerial imagery).
Software Used:
Step 1: Prepare Your Dataset
• Input Dataset Type: Raster dataset
o Preprocess the imagery:
▪ Clip the raster to the area of interest.
▪ Ensure it is projected to a suitable coordinate system.
Step 2: Open the ISO Cluster Unsupervised Classification Tool
1. Open ArcGIS Pro.
2. Navigate to the Analysis tab.
3. Select Tools to open the Geoprocessing pane.
4. Search for and select the ISO Cluster Unsupervised Classification tool.
Step 3: Input Parameters in the Tool
• Input Raster Bands: Select your raster dataset or composite raster layer.
o If you have separate band layers, use the Composite Bands tool to combine
them into one multiband raster.
• Number of Classes: Specify the desired number of clusters/classes.
o Typical values range from 5 to 15, depending on the landscape complexity.
• Output Classified Raster: Specify the output file name and location.
• Output Signature File (Optional): Save the signature file if you plan to refine or
use it in subsequent steps.
Step 4: Run the Tool
1. Click Run to execute the tool.
2. The tool clusters pixels into the specified number of classes based on their
spectral properties.
Step 5: Visualize the Results
• The output raster will display the clustered classes.
• Classes are assigned arbitrary color schemes (unique values renderer).
• Inspect the classes to determine if they make sense based on your
knowledge of the area.
Step 6: Post-Processing (Optional)
• Reclassify Classes: If needed, use the Reclassify tool to group or assign
meaningful labels to classes (e.g., water, vegetation, built-up).
• Accuracy Assessment: Though unsupervised classification does not use training
data, you can compare it with reference data (ground truth) to assess accuracy.
• Export Data: Save the classified raster in a desired format for reporting or further
analysis.