The Learning Partner
                                "SpatialCode"  Â
                                "SpatialCode"  Â
If you're interested for Session2(upgraded) in joining or know someone who might benefit, don’t wait!
Let’s embark on this learning journey together and unlock the power of GIS.
📩 To enroll or inquire, contact us today!
  ■Early Bird Discount available for early enrollees!
Total Duration: 2 Month (Can differ based on your performance)
Duration of Each Session: 50 - 70 Minutes (+interactive sessions)Â
Quick Keys : Â Practice anytime, 24 * 7 we will reply on your problems.
Schedule: 2 days a week – Sunday & Saturday
Session Timing: 7:00 PM – 8:30 PM (IST)
Mode: Live Online Sessions via Google Meet
Start Date: 1st June 2025
Learn GEE from scratch with real-world GIS examples
Designed for beginners – no prior coding experience required in Java script
Great for remote sensing, geospatial analytics, and data processing workflows
Project based experience.
Small Batches(max 8 participant each batch) : 5 Batch
Class Duration: 30 Minutes (+interactive sessions)
Schedule: 2 days a week – Sunday & Saturday
Session Timing: 7:00 PM – 8:30 PM (IST)
Mode: Live Online Sessions via Google Meet
Start Date: 1st May 2025
Multispectral imagery captures data across multiple specific wavelength bands (e.g., red, green, blue, NIR). It is widely used in land cover classification, vegetation health analysis (e.g., NDVI), and environmental monitoring.
A DEM is a 3D representation of terrain elevation over a geographic area. It’s used in watershed analysis, slope and aspect mapping, flood modeling, and terrain-based planning.
Hyperspectral data captures hundreds of narrow spectral bands. It enables precise material identification and analysis, useful in agriculture, mineral exploration, and vegetation stress detection.
SAR is active microwave remote sensing that works regardless of weather or lighting. It’s ideal for detecting land surface changes, monitoring floods, subsidence, and forest structure.
UAVs capture high-resolution aerial imagery, often including RGB, thermal, or LiDAR. Applications include precision farming, construction monitoring, 3D mapping, and disaster assessment.
NetCDF (Network Common Data Form) is commonly used for storing climate data like temperature, precipitation, or wind over time and space. It supports multi-dimensional datasets ideal for modeling and long-term climate analysis.
Total Duration: 120 Minutes (Short Sessions + Problem Solving Classes)
Quick Keys : Â Engaging with Smart Sessions. Practice anytime, 24 * 7 we will reply on your problems.
Start Date: soon