Introducing 

Prezi AI.

Your new presentation assistant.

Refine, enhance, and tailor your content, source relevant images, and edit visuals quicker than ever before.

Loading…
Transcript

Rain Clutter Reduction for Improved Bird Detection in Radar Imagery

Academic Supervisor: Prof. Michele Rossi, UniPD

Co-supervisor: Prof. Nuno Simões, UNAM

Striking a Balance Between Sustainable Energy and Avian Conservation

Diogo Seca Repas Gonçalves

University of Padova

31/08/2023, TU/e

Presentation Outline

Outline

  • Introduction
  • Background
  • Research
  • Data Preprocessing
  • Rainfall Clutter
  • Big Data Management
  • Key Achievements
  • Limitations & Future Research
  • Q&A

Sustainable Energy & Avian Conservation

Introduction

Mitigating avian fatalities due to wind turbines

Introduction

Importance of Radar in Wind Energy Projects

Importance of Radar in Wind Energy Projects

  • Early Detection
  • Real-Time Monitoring
  • Flight Path Analysis
  • Behavior and Risk Assessment
  • Multi-Sensor Integration
  • Data-Driven Management
  • Public Engagement

Challenges with Adverse Weather Conditions and Rainfall

  • Signal Clutter and Noise
  • Attenuation of Radar Signals
  • Reduced Detection Range
  • Accuracy and Identification

Challenges

Research Objectives

Enhancing Big Data

Management

Radar Data Preprocessing

Research Objectives

& Methodology

Rainfall Clutter Challenges in

Radar Imaging

Case Studies

Project: Genesis Wind

Date: 10.05.2022

Project: BSJ

Date: 16.10.2022

Case Studies

Radar Model: Birdtrack SS-X25 Series

Radar Sensor: Furuno DRS25A-NXT

Radar Range: 7km

Radar Orientation: Horizontal

Coordinates:

Lat 37.183872, Lon -8.777694

Coordinates:

Lat 32.934099, Lon 35.841742

Data Preprocessing

From raw to useful

Radar Data Preprocessing

Rainfall Clutter Challenges

And strategies to mitigate them

Rainfall Clutter Challenges

Uniform Manifold Approximation and Projection

UMAP

Gunnar Farnebäck’s two-frame Dense Optical Flow Estimation

Optical Flow Estimation

Big Data Management

Proposal for a new radar data management system

Enhancing Big Data

Management

Better Data Formats

The shift from PNG + XML to

array-optimized storage is promising

Improved Data Formats

Xarray

Labeled multi-dimensional arrays

Zarr

Efficient array storage

BLOSC

Fast binary compression

Zoned management of Big Data

A better solution for dealing with large ammounts of archival data

Zoned Approach

Thank you!

Any Questions?

Conclusion

Diogo Seca Repas Gonçalves

University of Padova

31/08/2023, TU/e

Learn more about creating dynamic, engaging presentations with Prezi