Alemu Gonsamo
banner
alemugonsamo.bsky.social
Alemu Gonsamo
@alemugonsamo.bsky.social
Associate Professor | Remote Sensing of Terrestrial Ecosystems | School of Earth, Environment & Society | McMaster University
Pinned
Our open access paper, Peat Depth and Carbon Storage of the Hudson Bay Lowlands, Canada, is online now in Geophysical Research Letters. We implement creative ensemble learning approach on multiple models to minimize overfitting & improve generalization agupubs.onlinelibrary.wiley.com/doi/full/10....
Peat Depth and Carbon Storage of the Hudson Bay Lowlands, Canada
We use stacking, an ensemble learning technique designed to mitigate overfitting, to estimate peat depth in the Hudson Bay Lowlands (HBL) The average peat depth of HBL is 184 (±48) cm with 90% of...
agupubs.onlinelibrary.wiley.com
Reposted by Alemu Gonsamo
The Hudson and James Bay peatlands are among the most significant carbon storages in the world. With wildfires burning and a warming climate, @alemugonsamo.bsky.social explains why they matter and what’s at stake.

#McMasterExperts

Read more: brighterworld.mcmaster.ca/articles/qa-...
Fragile treasure: Q&A with expert Alemu Gonsamo on the Hudson and James Bay peatlands
Momentum is building to develop the Ring of Fire, which overlaps with one of the most important carbon storage systems in the world.
brighterworld.mcmaster.ca
June 13, 2025 at 7:28 PM
Reposted by Alemu Gonsamo
Our lab, led by Prof. @alemugonsamo.bsky.social, is hosting a research-to-practice technical dialogue on March 25 at @mcmasteruniversity.bsky.social, together with the #SustainableForestryInitiative. If you want to attend, please contact us, as we still have a few spots available.
March 19, 2025 at 4:21 PM
Our open access paper, Peat Depth and Carbon Storage of the Hudson Bay Lowlands, Canada, is online now in Geophysical Research Letters. We implement creative ensemble learning approach on multiple models to minimize overfitting & improve generalization agupubs.onlinelibrary.wiley.com/doi/full/10....
Peat Depth and Carbon Storage of the Hudson Bay Lowlands, Canada
We use stacking, an ensemble learning technique designed to mitigate overfitting, to estimate peat depth in the Hudson Bay Lowlands (HBL) The average peat depth of HBL is 184 (±48) cm with 90% of...
agupubs.onlinelibrary.wiley.com
January 20, 2025 at 4:47 PM
Reposted by Alemu Gonsamo
Attending #AGU24 in-person and thinking about publishing your research? I’ll be part of the AGU Editor Rapid Review sessions.
🗓 When: Thursday 12/12 1100-1300
📍 Where: Open Science Pavilion, Exhibit Hall, near the AGU Publications booth
📅 Book your appointment here: t.co/3UQ2oVK21o
#AGUPubs
November 22, 2024 at 9:01 PM
Reposted by Alemu Gonsamo
Jose B. Castro, Cheryl Rogers, Camile Sothe, Dominic Cyr, Alemu Gonsamo
A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
https://arxiv.org/abs/2410.18108
October 25, 2024 at 4:01 AM