- 22 January 2026
-
-
[SSRM] Estimation of Above-Ground Biomass in Forests Using Satellite Data | Ricardo Coelho, PhD Student NOVA SST
22 January 2026 - 14:30 - 15:30
Statistics and Risk Management Seminar
Department of Mathematics, NOVA MATH/FCT NOVA
Title: Estimation of Above-Ground Biomass in Forests Using Satellite Data
Speaker: Ricardo Coelho, PhD Student, NOVA SST, Caparica, Portugal
Date | Time: January 22, 2026 | 14:30
Location: To be announced
Teams: https://teams.microsoft.com/meet/32754086330496?p=nspp91z49enhjNBXTR
Abstract: Monitoring carbon sequestration is essential for climate policy, carbon markets, and ecosystem assessment. Above-Ground Biomass (AGB) is a key indicator of carbon storage, where it can be estimated using direct or indirect methods. Direct methods involve the destruction of the trees, while indirect methods, like allometric equations, require the collection of forest inventory data, which is a time-consuming and costly process. With technological advances, a faster and more cost-effective alternative is to estimate AGB through remote sensing, combining satellite data with field measurements, which can lead to more accurate estimates.Machine learning (ML) models have been widely applied for AGB prediction, but many do not account for spatial autocorrelation and fail to quantify prediction uncertainty. Hybrid approaches that combine spatial statistical models with ML have emerged to address these limitations, leveraging both predictive power and spatial dependency modelling. This study first presents a simulation experiment to systematically compare the predictive performance of ML, hybrid, and spatial statistical methods under controlled geostatistical scenarios. We then apply these approaches to estimate AGB in a region of Spain, using GEOSAT-2 remote sensing data, including reflectance bands, vegetation indices, and texture metrics.
Short Bio: Ricardo Coelho is a PhD student in the Mathematical Doctoral Programme at the NOVA School of Science and Technology (FCT-NOVA). His research work is focused on predicting forest biomass, through statistical models, using field and remote sensing data. Before enrolling in his PhD, he did a MSc in Mathematics and Applications at FCT-NOVA and a BSc in Mathematics at the same university.
Organizers: Isabel Natário and Mina Norouzirad
LogosTodos.JPG
This work is funded by national funds through the FCT – Fundação para a Ciência e a Tecnologia, I.P., under the scope of the projects UID/00297/2025 (\url{https://doi.org/10.54499/UID/00297/2025}) and UID/PRR/00297/2025 (\url{https://doi.org/10.54499/UID/PRR/00297/2025}) (Center for Mathematics and Applications)
-
Categories
New Product
Bur wemust ipsum dolor sit amet consectetur adipisicing elit sed eiusmod tempor incididunt ut labore