GeoByte Webinar - January 26, 2024

LUCA: Monitoring Global Forests with Radar Satellites

Title

LUCA: Monitoring Global Forests with Radar Satellites

Presenter Adugna Mullissa

Effective and timely monitoring of global forest disturbances is essential for understanding the dynamics of terrestrial ecosystems, assessing land use changes, and informing sustainable land management practices. Satellite-based remote sensing, especially synthetic aperture radar (SAR) images, offers a powerful tool for tracking these disturbances in near-real time on a global scale. In this webinar, Dr. Adugna Mullissa, a research scientist at nonprofit CTrees, will present on Land Use Change Alerts (LUCA), a forest disturbance alert system based on Sentinel-1 SAR images. Available for free in Google Earth Engine, LUCA alerts are generated globally starting in 2018 and refreshed approximately every 2 weeks. 

Bio

Dr. Adugna Mullissa is a research scientist at CTrees and a visiting researcher at UCLA. He is an expert in radar remote sensing and machine learning who specializes in near-real time forest change monitoring. At CTrees, Adugna leads the synthetic aperture radar (SAR) data product development and management. 

Adugna earned his Ph.D. in radar remote sensing in 2017 and conducted postdoctoral research from 2018-2019 at the University of Twente, Netherlands. During his postdoctoral research there he developed deep learning methods for crop monitoring using Polarimetric SAR data. Adugna continued his postdoctoral research from 2019-2023 at the Laboratory of Geo-information Science and Remote Sensing at Wageningen University, Netherlands, where he developed fundamental radar and deep learning methods for near-real time forest change monitoring applications. Adugna’s research interests revolve around leveraging radar remote sensing and machine learning techniques to enhance the accuracy and efficiency of environmental monitoring. Specifically, he focuses on image and signal processing and information extraction from SAR, PolSAR, and InSAR data using advanced machine learning such as deep learning. More details about Adugna’s research can be found on his personal website, https://adugnag.github.io

 

To access the meeting/recording, register here and then visit the ASPRS Online Learning Catalog after your order has been completed.

When
1/26/2024 12:00 PM - 1:00 PM
Eastern Standard Time
Where
Online UNITED STATES
 

A MyASPRS account is required to access services, register for events, and purchase products from ASPRS. You do not have to be an ASPRS member to create a MyASPRS account. If you wish to join ASPRS to receive member benefits, including discounts on most products and services, you will have the option to join once you have created your MyASPRS account.

All ASPRS members have MyASPRS accounts. If you do not remember your username or password, use the links below to reset. An email will be sent to your primary email address in your member profile. If you no longer have access to this email, please contact [email protected] or call 301-493-0290 for assistance.

To register, Sign In with your ASPRS Account or Create Account

Run into any problems with the new member website? Please contact the ASPRS office at (225)-408-4747 or by email at [email protected] to let us know!