Getting started with Kalpa#
Welcome to Kalpa, a versatile software suite for geospatial data visualization, processing, and machine learning. This guide will walk you through the initial setup and introduce you to the main features of the interface.
What can Kalpa Do?#
Hands on!#
Hands on!
- Installation
- Setting up project folder
- The Main Window
- Loading and Visualizing data
- Grid Settings and View Controls
- Creating Data for Geodata Engineering and Artificial Intelligence Modeling
- Vector operations
- Merge Vector Layers
- Defining Area of Interest (AOI) using Bounding Box
- Vector Filtering
- Function Overview
- Single-Column Based Filtering
- Multi-Column Based Filtering
- Filtering Using Equality Conditions
- Combining Conditions with OR
- Filtering by Distance (Geospatial Attributes)
- Filtering Rows with Numerical Ranges
- Filtering Rows Based on String Patterns
- Filtering Rows with Missing or Null Values
- Filtering Rows Based on Multiple Conditions (Advanced)
- Filtering Rows Using Custom Functions
- Filtering Geospatial Data by Attribute and Proximity
- Filtering Using Logical OR Conditions
- Filtering by Area or Length Attributes
- Tips for Writing Filtering Conditions
- Vector Calculator
- Vector to Raster Conversion (Rasterization)
- Raster operations
- Advanced Geophysical and Image Processing Calculations in Kalpa
- Data Plotting and Analytics
- On Demand Satellite Data through Vyom
- Geophysical Data Processing using Kalpa
How to apply machine learning in Kalpa?#
Tutorials
- Tutorial 1: Classifying Lithology Types in the Ladakh Region Using Kalpa
- Tutorial 2: Simple Mineral Prospectivity Maps with Kalpa
- Dataset Overview
- Workflow
- Tutorial 3: Mapping Deforestation in South Andaman Island Using Vyom
- Tutorial 4: Monitoring Crop Health in Wimmera, Victoria with Sentinel-2 and NDVI