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Master Earth Observation, SAR, and Geospatial AI

Become proficient in satellite remote sensing: multispectral & hyperspectral analysis, SAR processing, radiometric/atmospheric correction, change detection, and geospatial machine learning at scale with modern cloud platforms.

Global #1 Training & Internship Program

4.9

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4.8

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Program Summary

This program builds a rigorous foundation in remote sensing physics and image processing. You’ll work with open Earth Observation constellations (Sentinel-1/2, Landsat 8/9) and learn the core resolutions (spatial, spectral, radiometric, temporal), orbits, and sensor modalities (optical, SAR, LiDAR).

Through projects, you’ll implement preprocessing pipelines (radiometric & atmospheric correction, orthorectification, mosaicking), compute spectral indices (NDVI/NDWI), perform SAR denoising and interferometry basics, run change detection/time-series analyses, and deploy ML/DL models for land cover mapping and object detection—locally and on cloud platforms.

Why Refonte Learning's Remote Sensing Scientist/Engineer Course is the Best Fit for You

  • Concrete Projects, Real-World Experience
  • In-Depth Skill Enhancement
  • Seasoned Guidance
  • Potential Internship

Program Specifics

Requirement

Background in CS (Computer Science), Geo-informatics, Electrical/Telecom, or related fields. Comfortable with Python.

Period

3 months

Dedication time

10-12 Hours/Week

Career Result

Remote Sensing Scientist, EO Data Scientist, SAR Analyst, GIS/Geospatial Engineer, Environmental Data Scientist, Geospatial ML Engineer

Competencies you'll develop

  • Remote sensing fundamentals: EM spectrum, sensors & orbits
  • Spatial, spectral, radiometric, temporal resolution; SNR & calibration
  • Data sources: Sentinel-1/2, Landsat 8/9; catalog search & access
  • Preprocessing: radiometric & atmospheric correction, orthorectification
  • Multispectral & hyperspectral analysis; spectral indices (NDVI/NDWI, etc.)
  • SAR processing: speckle filtering, polarimetry basics, InSAR intro
  • LiDAR/point clouds: DEM/DSM generation & terrain modeling
  • Change detection & time-series analysis
  • Geospatial ML/DL (scikit-learn, TensorFlow/PyTorch) for classification/segmentation
  • Cloud-scale EO: Google Earth Engine & distributed workflows
  • Ethics, licensing, FAIR/Responsible AI & geo-privacy

Expertise Featured

  • Fundamentals: platforms, sensors & resolutions (optical, SAR, LiDAR)
  • EO datasets: Sentinel-1/2, Landsat 8/9; catalog search & access
  • Preprocessing: radiometric & atmospheric correction, orthorectification
  • Spectral analysis: indices, feature engineering & dimensionality reduction
  • SAR essentials: speckle filtering, backscatter, InSAR basics
  • LiDAR & elevation modeling: point clouds, DEM/DSM workflows
  • Change detection & time-series (e.g., drought, deforestation, urban growth)
  • Geospatial ML/DL: supervised classification & semantic segmentation
  • Cloud platforms & MLOps for EO (GEE, Python APIs, pipelines)

Tools Taught

tools taught

Educational Mentors

mentor

Dr. Emil Bayramov

Department of Assistant Professor, School of Mining & Geosciences, Nazarbayev University

Expert professor in applied geospatial remote sensing for the oil, gas, and mining sectors — 23 years of experience, PhD in remote sensing, certified by the Royal Geographical Society (UK) and the Canadian Institute of Geomatics (CIG). Invaluable mentorship for Earth Observation projects in sensitive sectors.

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Emil Bayramov

Your Educational Path

Understand EM spectrum, sensor modalities (optical/SAR/LiDAR), orbits, and resolutions to select the right data for the task.

Implement radiometric/atmospheric correction, orthorectification, mosaicking, and quality masking for robust analytics.

Train and evaluate models for land cover mapping & change detection; run analyses at scale with Google Earth Engine and Python.

Need clarification about the course? Get in touch with us

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Application DETAILS

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Complete the payment for the course fees to enroll and reserve your place.

Step 3

Kickstart your learning

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Admission Prerequisites

Obligatory: Working towards a bachelor's or higher-level degree

We delight in recognizing your successes

Upon successful completion of the program, Refonte Learning offers two certificates: a Training Certificate and a Certificate of Internship. Students who demonstrate outstanding performance may receive a Letter of Recommendation and a Certificate of Appreciation for their achievements. In addition, top performers will be rewarded with exclusive prizes such as Amazon vouchers, gift hampers, and personalized T-shirts.

Advantages of the Program

  • Concrete Projects, Real-World Experience
  • In-Depth Skill Enhancement
  • Potential Futures
certificates

Application Fees

We believe in making our programs accessible to everyone. That's why we offer a variety of financing options, including competitive rates as low as 0% interest and no hidden costs. You can also choose to make a convenient one-time payment.

Equated Monthly Installment payment options

Explore budget-friendly EMI plans with reputable finance firms. Overcome financial obstacles and stay focused on your personal development.

Credit/Debit Card and Paypal

Costs as low as

Installment I: USD 204

Installment II: USD 98

One-Time Payment Options

Experience the ease and flexibility of a single payment, allowing you to start your career journey without any hassle.

Credit/Debit Card and Paypal / Online Banking

Total Enrollment Costs

USD 300

Don't just take our say-so!

Get the scoop on what the community is saying about us

Refonte Learning has been an incredible resource for advancing my skills in data analytics. The courses are comprehensive, well-structured, and taught by industry experts. The hands-on projects provided valuable practical experience, and the support from instructors and fellow learners in the community forums was exceptional. Highly recommend for anyone looking to dive deep into the world of data analytics!

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John D.
Curtin University

As someone transitioning into the field of data science, I can't express how grateful I am for Refonte Learning. The platform offers a wide range of courses covering everything from the basics to advanced topics in data science. The interactive lessons and real-world case studies helped me gain a deeper understanding of complex concepts. Plus, the career resources and networking opportunities have been invaluable in helping me land my dream job. Thank you, Refonte Learning!

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Sarah K.
QUT (Queensland University of Technology)

Refonte Learning exceeded my expectations when it came to learning about business analytics. The courses were not only informative but also engaging, with interactive quizzes and assignments that reinforced key concepts. What sets Refonte apart is their focus on practical application – I was able to immediately apply what I learned to my job and saw tangible results. Whether you're a beginner or seasoned professional, I highly recommend Refonte Learning for mastering business analytics.

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Michael L.
Charles Sturt University

I've always been interested in digital marketing, but I struggled to find comprehensive resources until I discovered Refonte Learning. Their courses cover everything from SEO and social media marketing to email campaigns and content strategy. The instructors are knowledgeable and provide clear explanations, making complex topics easy to understand. The platform is user-friendly, and the flexibility to learn at my own pace was a huge plus. Thanks to Refonte Learning, I've been able to enhance my skills and take my career in digital marketing to the next level.

review
Emily M.
University of Miskolc

Refonte Learning has been an incredible resource for advancing my skills in data analytics. The courses are comprehensive, well-structured, and taught by industry experts. The hands-on projects provided valuable practical experience, and the support from instructors and fellow learners in the community forums was exceptional. Highly recommend for anyone looking to dive deep into the world of data analytics!

review
John D.
Curtin University

As someone transitioning into the field of data science, I can't express how grateful I am for Refonte Learning. The platform offers a wide range of courses covering everything from the basics to advanced topics in data science. The interactive lessons and real-world case studies helped me gain a deeper understanding of complex concepts. Plus, the career resources and networking opportunities have been invaluable in helping me land my dream job. Thank you, Refonte Learning!

review
Sarah K.
QUT (Queensland University of Technology)

Refonte Learning exceeded my expectations when it came to learning about business analytics. The courses were not only informative but also engaging, with interactive quizzes and assignments that reinforced key concepts. What sets Refonte apart is their focus on practical application – I was able to immediately apply what I learned to my job and saw tangible results. Whether you're a beginner or seasoned professional, I highly recommend Refonte Learning for mastering business analytics.

review
Michael L.
Charles Sturt University

I've always been interested in digital marketing, but I struggled to find comprehensive resources until I discovered Refonte Learning. Their courses cover everything from SEO and social media marketing to email campaigns and content strategy. The instructors are knowledgeable and provide clear explanations, making complex topics easy to understand. The platform is user-friendly, and the flexibility to learn at my own pace was a huge plus. Thanks to Refonte Learning, I've been able to enhance my skills and take my career in digital marketing to the next level.

review
Emily M.
University of Miskolc

Become a part of our worldwide learning community

Be a part of our community, which includes 3500+ accomplished students that have undergone an incredible transformation, emerging as industry leaders.

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Important Datest & Deadlines

Date & Deadlines

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Frequently Asked Questions

Which datasets will we use?

You will work with Sentinel-1 (SAR), Sentinel-2 (optical), Landsat 8/9, as well as LiDAR point clouds when available.

Which tools are covered?

QGIS/ArcGIS Pro, Google Earth Engine, GDAL/OGR, ESA SNAP, ENVI (depending on license), Python (rasterio, geopandas, xarray, scikit-learn, TensorFlow/PyTorch).

Are there any prerequisites?

Basic skills in Python and some knowledge of matrices/signals. No prior EO experience required: fundamentals are covered.

What kind of final project?

An applied capstone (e.g., deforestation detection, crop mapping, flood monitoring) with a reproducible report and code repository.

Is the workload compatible with a full-time job?

Yes. The recommended pace is 10–12 h/week, with asynchronous modules and targeted live sessions.

Ready to fulfill your dream of becoming a Professional Remote Sensing Scientist/Engineer?

Begin your journey with Refonte International's Training & Internship Program for comprehensive training, valuable certificates, and exciting future opportunities.

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