An iterative method, namely expectation maximization-empirical orthogonal functions (EM-
EOF) is proposed for the first time to retrieve missing values in synthetic aperture radar …

Large-scale urbanization has brought about severe ground subsidence in Kunming (China),
threatening the stability of urban infrastructure. Mapping of the spatiotemporal variations of …

This paper presents a new algorithm for improving the estimation of interferometric SAR
(InSAR) phases in the context of time series and phase linking approach. Based on …

With the increasing amount of spatial-temporal~(ST) ocean data, numerous spatial-temporal
data mining (STDM) studies have been conducted to address various oceanic issues, eg …

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 …

Excessive groundwater exploitation has brought about severe ground subsidence in
Guandu (China), threatening the stability of urban infrastructure. Mapping of the …

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 …

Les mouvements de terrain font plusieurs milliers de victimes chaque année dans le monde
(Froude et Petley 2018). Ce chiffre général cache une variété de mécanismes différents …

This chapter focuses on the observation of ice motion within the Earth's glaciers (ice sheets,
ice caps, valley glaciers) from image feature‐tracking. Observing ice flow is important for …

This paper focuses on understanding the temporal behaviour of Ice Aprons (IAs) in the Mont-
Blanc massif using high resolution SAR coherence matrix. InSAR coherence is estimated …