Satellite remote sensing has now become a unique tool for continuous and predictable
monitoring of geosystems at various scales, observing the dynamics of different geophysical …

Remotely sensed land surface temperature (LST) is critical for retrieving evapotranspiration
(ET). However, due to cloud contamination, LST is often limited to clear-sky conditions and …

This paper tackles the problem of robust covariance matrix estimation when the data is
incomplete. Classical statistical estimation methodologies are usually built upon the …

Phenomena such as cloudiness, atmospheric aerosol or sensor failure cause missing data
(gaps) in remote sensing images and damage spatial and temporal continuity. Dealing with …

Multivariate time series data is prone to a high missing rate which presents an obstacle to
statistical analysis of the data. Imputation has become the standard measure to handle this …

Glacier velocity is one of the crucial parameters in the research of glacier dynamics.
Synthetic aperture radar (SAR), as an active microwave sensor, represents a common …

Synthetic Aperture Radar (SAR) is a useful tool in marine surveillance. Small targets
detection in SAR images especially in nearshore area is a difficult issue. Due to the complex …

Agricultural drought is a major natural disaster affecting biomass accumulation and causing
food loss, exacerbated by the increasing frequency of flash droughts and compounded …

SAR images are affected by speckle noise and the presence of ephemeral targets. We
propose a method to filter both from individual images in a temporal stack through the use of …

Missing data is a critical pitfall in the investigation of remotely sensed displacement
measurement because it prevents from a full understanding of the physical phenomenon …