Tutorial 6: Mapping Floodplain Wetlands of Kosi River in Bihar#

Tutorial by

Utpal Singh¹, Satyam Pratap Singh¹

¹ School of Geosciences, University of Sydney


This tutorial demonstrates how to map floodplain wetlands of the Kosi River in Bihar using Kalpa. The process involves importing raster datasets, defining a region of interest, sampling the dataset, and applying a classification formula.

Dataset Overview#

For this task, we use: - Kosi.nc: A raster dataset representing the Kosi River floodplain.

Accessing the Dataset#

The tutorial dataset is available here.

Workflow#

Step 1: Load Raster Files#

Start by loading the required raster dataset: - Import kosi.nc as a raster layer.

Step 2: Define a Region of Interest (ROI)#

Create a bounding box to define the study area: - Generate a bounding box using the kosi.nc raster. - Save the bounding box as kosi_bb.gpkg.

Step 3: Sample Raster Data#

Sample the raster data within the defined ROI: - Sample at a regular grid interval (0.001 degrees). - Save the sampled dataset as kosi_sampled.gpkg.

Welcome Window

Step 4: Compute Floodplain Risk Index#

  • Enter the following classification formula in Kalpa:

  • Apply the formula to classify floodplain risk levels.

  • Save the result as risk_calculated.gpkg.

    Welcome Window

Step 5: Visualize Results#

  • Open the classified floodplain risk map in Kalpa.

  • Adjust the color maps to enhance visualization.

  • Analyze the spatial distribution of wetland flood risk.

    Welcome Window

Enjoy!!!