This paper reviews the most important information fusion data-driven algorithms based on
Machine Learning (ML) techniques for problems in Earth observation. Nowadays we …

Understanding ecosystem service trade-offs and synergies is the foundation to achieve the
efficient management of the ecosystem and improve human well-being. However, the …

Synthetic Aperture Radar (SAR) observations are widely used in emergency response for
flood mapping and monitoring. However, the current operational services are mainly …

Microwave remote sensing has widely demonstrated its potential in the continuous
monitoring of our rapidly changing planet. This review provides an overview of state-of-the …

Remote sensing using synthetic aperture radar (SAR) is an important tool for emergency
flood incident management. At present, operational services are mainly aimed at flood …

Post event flooding maps are currently extracted from synthetic‐aperture radar (SAR) and/or
optical satellite images or developing using hydraulic model simulations. Several sources of …

Remotely sensed flood extents obtained in near real-time can be used for emergency flood
incident management and as observations for assimilation into flood forecasting models …

Flood detection and monitoring is increasingly important, especially on remote areas such
as African tropical river basins, where ground investigations are difficult. We present an …

This paper considers the issues of image fusion in a spatially distributed small-size on-board
location system for operational monitoring. The purpose of this research is to develop a new …

High-resolution flood monitoring can be achieved relying on multi-temporal analysis of
remote sensing SAR data, through the implementation of semi-automated systems …