Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation

no code implementations • 28 Jun 2024 • Michal Muszynski, Levente Klein, Ademir Ferreira da Silva, Anjani Prasad Atluri, Carlos Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell Watson, Daiki Kimura, Harini Srinivasan

In this paper, we explore the effectiveness of fine-tuning of a geospatial foundation model to estimate above-ground biomass (AGB) using space-borne data collected across different eco-regions in Brazil.

Transfer Learning

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

no code implementations • 19 Sep 2023 • S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell Watson, Raghu Ganti, Hendrik Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam

In particular, we are witnessing the rise of AI foundation models that can perform competitively on multiple domain-specific downstream tasks.

Language Modelling Operator learning +4