Near Real-Time Forest Loss Detection in the Brazilian Amazon Using Bayesian Fusion of Sentinel-1 SAR and Sentinel-2 Multispectral Time Series
A Bayesian Online Changepoint Detection framework based on the recursive estimation of the number of acquisitions since the last change is generalized to asynchronous, irregularly sampled Sentinel-1 SAR and Sentinel-2 multispectral time series, which enables interpretable, and Near Real-Time (NRT) detection of forest l...