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DSTC-00388 Online (e-LMS) Graduate / Intermediate

Satellite Image Analysis: A Hands-On Course

by - DSTC

Turn satellite imagery into environmental and land insight.

★★★★★ Be the first to review 4 Weeks · 40 hrs e-Certificate Included
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From ₹2,500 + GST

Programme Parameters

Educational Level:
Graduate / Intermediate
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.

About This Course

Satellite Image Analysis is a practical course in extracting meaning from Earth-observation data. You learn to access and handle imagery from sources such as Landsat and Sentinel, understand spectral bands, and compute indices like NDVI to measure vegetation and water. From there you build the core analyses of remote sensing: land-cover classification, change detection over time, and environmental monitoring. Working hands-on with real scenes and open tools, you finish able to take raw satellite imagery and produce a defensible map or analysis of the land below. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

This hands-on course teaches satellite image analysis — accessing imagery, spectral indices, classification and change detection for land, vegetation and environmental monitoring.

📋 Course Objectives

1. Access and handle Landsat and Sentinel imagery.
2. Interpret spectral bands and compute indices such as NDVI.
3. Classify land cover from multispectral imagery.
4. Detect land and vegetation change over time.
5. Produce environmental-monitoring maps and analyses.

👥 Who Should Enroll?

• GIS and remote-sensing analysts
• Environmental and earth scientists
• Agri-tech and land-use professionals
• Students specialising in geospatial analysis

🚀 Key Learning Outcomes

• The ability to analyse satellite imagery end to end.
• A land-cover or change-detection project.
• Practical remote-sensing skills.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

💎 What You'll Gain

🎥

Live & Recorded Sessions

Lifetime access to class recordings
🎓

e-Certificate on Completion

Cryptographically verified credential
💬

Post-Programme Support

Direct access to mentors & council
💻

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Visual Computing Fundamentals and Satellite Image Analysis A Handson Foundations

Implement Analysis with Artificial Intelligence for practical visual computing fundamentals and satellite image analysis a handson foundations applications and outcomes. • Design Image with Satellite for practical visual computing fundamentals and satellite image analysis a handson foundations applications and outcomes. • Analyze image classification with object detection for practical visual computing fundamentals and satellite image analysis a handson foundations applications and outcomes.

Module 2 Outline

Image Processing, Augmentation, and Feature Extraction

Implement Analysis with Artificial Intelligence for practical image processing, augmentation, and feature extraction applications and outcomes. • Design Image with Satellite for practical image processing, augmentation, and feature extraction applications and outcomes. • Analyze image classification with object detection for practical image processing, augmentation, and feature extraction applications and outcomes.

Module 3 Outline

CNN Architectures, Transfer Learning, and Satellite Image Analysis A Handson Models

Implement Analysis with Artificial Intelligence for practical cnn architectures, transfer learning, and satellite image analysis a handson models applications and outcomes. • Design Image with Satellite for practical cnn architectures, transfer learning, and satellite image analysis a handson models applications and outcomes. • Analyze image classification with object detection for practical cnn architectures, transfer learning, and satellite image analysis a handson models applications and outcomes.

Module 4 Outline

Object Detection, Segmentation, and Localization

Implement Analysis with Artificial Intelligence for practical object detection, segmentation, and localization applications and outcomes. • Design Image with Satellite for practical object detection, segmentation, and localization applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze image classification with object detection for practical object detection, segmentation, and localization applications and outcomes.

Module 5 Outline

Video Analysis, Temporal Models, and Real-Time Processing

Implement Analysis with Artificial Intelligence for practical video analysis, temporal models, and real-time processing applications and outcomes. • Design Image with Satellite for practical video analysis, temporal models, and real-time processing applications and outcomes. • Analyze image classification with object detection for practical video analysis, temporal models, and real-time processing applications and outcomes.

Module 6 Outline

Model Optimization, Quantization, and Edge Deployment

Implement Analysis with Artificial Intelligence for practical model optimization, quantization, and edge deployment applications and outcomes. • Design Image with Satellite for practical model optimization, quantization, and edge deployment applications and outcomes. • Analyze image classification with object detection for practical model optimization, quantization, and edge deployment applications and outcomes.

Module 7 Outline

Industry Applications and Satellite Image Analysis A Handson Use Cases

Implement Analysis with Artificial Intelligence for practical industry applications and satellite image analysis a handson use cases applications and outcomes. • Design Image with Satellite for practical industry applications and satellite image analysis a handson use cases applications and outcomes. • Analyze image classification with object detection for practical industry applications and satellite image analysis a handson use cases applications and outcomes.

Technical Specifications

ParameterRequirement
Covered Tool / PlatformPython
Covered Tool / PlatformJupyter Notebook
Covered Tool / PlatformGoogle Colab
Covered Tool / PlatformMicrosoft Excel
Covered Tool / PlatformRelevant Online Databases

Frequently Asked Questions

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from DSTC (DSTC) that you can showcase on your CV and LinkedIn profile.

Learners should have a foundational understanding of Science & Technology concepts. Familiarity with basic tools and programming is recommended.

You will have access to all course materials for the duration of 4-6 Weeks. The self-paced format allows you to learn according to your own schedule through our online learning management system.

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to Science & Technology. Our mentors are industry experts and experienced professionals. Enroll in Satellite Image Analysis: A Hands-On Course today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering Science & Technology skills that matter.

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