Brief

Researchers have developed HaorFloodAlert, a machine learning ensemble designed to predict flash floods in Bangladesh's haor wetlands up to 72 hours in advance. This system addresses limitations of existing flood prediction models that are ill-suited for the unique backwater dynamics of these flat basins. By employing a deseasonalized approach and integrating Sentinel-1 SAR data, HaorFloodAlert achieves high accuracy in forecasting flood probability and provides a tiered alert system. AI

Researchers have developed SpectralEarth-FM, a new foundation model designed to process and fuse hyperspectral imagery with other Earth observation data like multispectral, radar, and temperature readings. This model utilizes a hierarchical transformer architecture that can handle varying spectral dimensions and integrates a cross-sensor fusion module. To train SpectralEarth-FM, a large dataset called SpectralEarth-MM was curated, containing over 40TB of co-located data from multiple satellite sensors, enabling state-of-the-art results on downstream tasks. AI