This short course on Land Surface Temperature (LST) is a great way to bridge the gap between satellite data and statistical analysis. Based on the flyer provided, here is a structured SEO-friendly blog post designed to drive registrations and provide clear value to potential students.

Introduction

Understanding the thermal behavior of the Earth’s surface is critical for urban planning, environmental monitoring, and climate studies. This 5-day specialized course, Land Surface Temperature (LST) Analysis & Correlation with Land Features, offers hands-on training to master these spatial techniques using cloud-based computing.

Why Choose This Course?

This program is designed for students and professionals looking to leverage Google Earth Engine (GEE) for large-scale remote sensing without the need for high-end local hardware. By combining GEE with PAST (PAleontological STatistics) software, students gain a complete workflow from data extraction to advanced statistical correlation.

Core Curriculum & Skills

Students will explore the following key areas:

• GEE & JavaScript Fundamentals: Introduction to scripting for automated remote sensing.
• Feature Identification: Methods for classifying land surface features.
• LST Techniques: Advanced analysis of thermal data.
• Statistical Analysis: Correlation of LST with various land features using PAST.

Course Logistics

• Duration: 5 Days (Online)
• Dates: * May 16th – 17th (Sat–Sun)
  • May 23rd – 24th (Sat–Sun)
  • May 31st (Sun)
• Time: 8:00 PM – 9:00 PM IST
• Fee: Rs. 750 (INR)
• Registration Deadline: May 15th, 2026

Tools & Faculty

Students will get hands-on experience with GEE, PAST, and QGIS. The course is led by experienced faculty members:

• Dr. Bratati Dey
• Ms. Parul Chauhan
• Ms. Juveriya Naaz

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3. Keywords

• Primary Keywords: Land Surface Temperature Analysis, Google Earth Engine Training, Remote Sensing Course, LST Correlation.
• Secondary Keywords: GEE JavaScript for GIS, PAST Software Statistics, Online GIS Workshop, Swastik Edustart.