algorithm

An Image Transform Based on Temporal Decomposition

Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. These time series require innovative processing and preprocessing approaches including novel speckle suppression …

Multivariate anomaly detection for Earth observations: A comparison of algorithms and feature extraction techniques

Today, many processes at the Earth's surface are constantly monitored by multiple data streams. These observations have become central to advancing our understanding of vegetation dynamics in response to climate or land use change. Another set of …

Reverse Engineering Model Structures for Soil and Ecosystem Respiration: The Potential of Gene Expression Programming

Accurate model representation of land- atmosphere carbon fluxes is essential for climate projections. However, the exact responses of carbon cycle processes to climatic drivers often remain uncertain. Presently, knowledge derived from experiments, …

An Extended Approach for Spatiotemporal Gapfilling: Dealing with Large and Systematic Gaps in Geoscientific Datasets

Spatiotemporal observations in Earth System sciences are often affected by numerous and/or systematically distributed gaps. This data fragmentation is inherited from instrument failures, sparse measurement protocols, or unfavourable conditions (e.g. …