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Carbon Stock Estimation and Biodiversity Assessment in Vietnam Forests using Remotely Sensed Data and Deep Learning Neural Networks

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Carbon Stock Estimation and Biodiversity Assessment in Vietnam Forests using Remotely Sensed Data and Deep Learning Neural Networks

Carbon Stock Estimation and Biodiversity Assessment in Vietnam Forests using Remotely Sensed Data and Deep Learning Neural Networks

Forests are not only the green lungs of our planet but also vital carbon reservoirs – key players in the fight against climate change. Yet, to transform that potential into measurable impact, the first thing we need is accurate data.

Under the supervision of Assoc. Prof. Dr. Nidal Kamel, this PhD project at VinUniversity aims to develop a comprehensive system that estimates forest carbon stocks and assesses biodiversity by integrating remote sensing data (satellites and drones) with machine learning and deep learning models. This initiative is part of the PhD in Computer Science program, applying AI to real-world challenges in the domains of environment and sustainability.

Project Overview 

The project will leverage multi-source data, including Sentinel-1, Sentinel-2, ISS (low-resolution satellite), MAXAR (high-resolution satellite), LiDAR, and multispectral drone images. The goal is to develop a high-accuracy carbon estimation framework to support forest monitoring, detect ecosystem degradation, and facilitate Vietnam’s transparent participation in the global carbon credit market.

Additionally, the research will explore key biodiversity indicators, providing a holistic view of Vietnam’s forest ecological value and sustainable development potential.

Project Timeline 

  • Year 1: Satellite data collection, image processing, and initial deep learning model training
  • Year 2: Drone flights across three national parks, collection of LiDAR & multispectral data, retraining of models using high-quality data
  • Year 3: Model evaluation, finalizing the solution, publishing results, and submitting patent applications

Successful candidates will be enrolled in the PhD in Computer Science at VinUni with a full scholarship and stipend of $15,000 USD/year. Candidates will work directly with Assoc. Prof. Dr. Nidal Kamel and interdisciplinary research teams at VinUni.

Project Contact 

To discuss the project in more detail, please reach out to: Center for Environmental Intelligence (CEI): [email protected] or Assoc. Prof. Dr. Nidal Kamel: [email protected] 

Please include your CV, research summary, and two referees who can provide letters of recommendation.

Admissions Contact

Learn more about the PhD in Computer Science and other research projects at: VinUni Graduate Research Excellence Program 

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