AlaskaX: Synthetic Aperture Radar: Ecosystems

AlaskaX: Synthetic Aperture Radar: Ecosystems

by University of Alaska Fairbanks

SAR for Ecosystem Monitoring

An Intermediate-Level Course by AlaskaX

Course Description

Embark on an exciting journey into the world of Synthetic Aperture Radar (SAR) with this intermediate-level course offered by AlaskaX. This comprehensive program will introduce you to the cutting-edge remote sensing technology that has revolutionized our ability to observe and monitor Earth's ecosystems. SAR's unique capability to penetrate clouds, smoke, and darkness makes it an invaluable tool for scientists and researchers studying vegetation structure, above-ground biomass, and long-term environmental changes.

What Students Will Learn

  • Fundamental concepts and principles of SAR and polarimetric SAR
  • Techniques for accessing, visualizing, and interpreting SAR data and imagery
  • Application of SAR in monitoring forest degradation and deforestation
  • Methods for estimating forest biomass using SAR earth observation
  • Utilization of SAR in monitoring agricultural extent
  • Hands-on experience with SAR time series data sets from spaceborne SAR missions
  • Practical skills in using Jupyter Notebooks for SAR data analysis (verified track only)

Prerequisites

  • General proficiency in GIS
  • Basic knowledge of Python programming (for verified track)
  • Completion of ARSET Level-0 Training "Fundamentals of Remote Sensing" or equivalent
  • Completion of ARSET Level-1 Training "Introduction to Synthetic Aperture Radar" or equivalent

Course Coverage

  • SAR and polarimetric SAR concepts and principles
  • SAR data access, visualization, and image interpretation
  • SAR applications in ecosystem monitoring
  • Forest degradation and deforestation monitoring using SAR
  • Forest biomass estimation techniques
  • Agricultural extent monitoring with SAR
  • Hands-on exercises using real-world SAR time series data
  • Introduction to Google Earth Engine
  • SAR processing steps and algorithms for biomass estimation

Who This Course Is For

This course is ideal for earth science professionals, environmental researchers, GIS specialists, remote sensing enthusiasts, and students pursuing careers in ecosystem monitoring and management. It's designed for individuals with intermediate-level knowledge in remote sensing and GIS who want to expand their skills in SAR technology and its applications in ecosystem science.

Real-World Applications

  • Environmental monitoring and conservation efforts
  • Forest management and deforestation prevention
  • Agricultural planning and crop yield estimation
  • Climate change impact assessment
  • Natural disaster response and management
  • Urban planning and land use analysis
  • Ecosystem health assessment and biodiversity conservation
  • Collaboration with space agencies and research institutions on earth observation projects

Syllabus

Week 1: Contribution of SAR to Monitoring forests

  • Introduction to SAR course learning community
  • Overview of basic principles of imaging radar
  • Polarimetric radar for ecosystem applications
  • SAR's contribution to forest monitoring

Week 2: SAR for Agriculture Monitoring

  • Radar backscatter from crops
  • SAR signatures of selected crops
  • Optimal sensor wavelength selection
  • Mapping crop area extent using SAR

Week 3: Forest Degradation / Deforestation using SAR remote sensing

  • Forest degradation and deforestation concepts
  • Forest change examples
  • Introduction to Google Earth Engine
  • Lab: Mapping Deforestation (open to audit track)
  • Lab: SAR Point Time Series Over Deforestation Sites (verified track only)

Week 4: Biomass estimation using SAR

  • SAR-based biomass estimation techniques
  • SAR processing steps for biomass estimation
  • SAR biomass estimation algorithms

This course, produced by the Alaska Satellite Facility at the University of Alaska Fairbanks, offers a unique opportunity to gain expertise in SAR technology and its applications in ecosystem monitoring. With its focus on practical skills and hands-on experience, learners will be well-equipped to contribute to cutting-edge research and real-world projects in environmental science and remote sensing.

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