Artificial Intelligence

Karsten Schroer

Author: Karsten Schroer

Revolutionizing earth observation with geospatial foundation models on AWS

In this post, we explore how a leading GeoFM (Clay Foundation’s Clay foundation model available on Hugging Face) can be deployed for large-scale inference and fine-tuning on Amazon SageMaker.

Figure 1 – Transmittance characteristics of methane in the SWIR spectrum and coverage of Sentinel-2 multi-spectral missions

Detection and high-frequency monitoring of methane emission point sources using Amazon SageMaker geospatial capabilities

Methane (CH4) is a major anthropogenic greenhouse gas that‘s a by-product of oil and gas extraction, coal mining, large-scale animal farming, and waste disposal, among other sources. The global warming potential of CH4 is 86 times that of CO2 and the Intergovernmental Panel on Climate Change (IPCC) estimates that methane is responsible for 30 percent of observed […]

Remote monitoring of raw material supply chains for sustainability with Amazon SageMaker geospatial capabilities

Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest has been destroyed over the past 50 years, and some tropical ecosystems are approaching a tipping point beyond which recovery is unlikely. A key driver for deforestation is raw material extraction […]