InSAR data acquired from independent overlapping tracks can be exploited for a reliability assessment of the Persistent Scatterer InSAR (PS-InSAR) technique. Here we present a mathematical framework for the datum connection of multiple tracks, simultaneously evaluating the precision and reliability of PS-InSAR estimates. This datum connection can be subdivided in two steps. Firstly, the PS loca...

Abstract Snow depth mirrors regional climate change and is a vital parameter for medium- long-term numerical prediction, simulation of land-surface hydrological process, water resource assessment. However, the quality available snow products retrieved from remote sensing inevitably affected by cloud mountain shadow, spatiotemporal resolution data cannot meet need research decision-making assist...

a r t i c l e i n f o Keywords: InSAR StaMPS SBAS Land subsidence Ground fissure Fault Geohazards Xi'an Xi'an, China has been undergoing significant land subsidence along with ground fissure development. These geohazards have brought about severe damages to buildings, bridges and other facilities. In order to warn of and mitigate disasters, it is urgently necessary to obtain the latest rate, ex...

The Helheim glacier in south-east Greenland faces a retreat and thinning like many other Greenland outlet glaciers, but showed two particular huge and fast retreats between 2000 and 2005, coinciding with an acceleration of glacier flow [1]. The estimation of glacier retreat and thinning are established procedures based on a variety of remote sensing techniques, e.g. SAR interferometry (InSAR) [...

On 2 January 2022, an earthquake of Ms 5.5 occurred in Ninglang County, Lijiang City, the earthquake-prone area northwestern Yunnan. Whether this caused significant deformation and thermal anomalies whether there is a relationship between them needs further investigation. Currently, multi-source remote sensing technology has become powerful tool for long-time-series monitoring earthquakes activ...

The effectiveness of landslide disaster prevention depends largely on the quality early identification potential hazards, and how to comprehensively, deeply, accurately identify such hazards has become a major difficulty in management. Existing deep learning methods for hazard often use fixed-size window modeling ignore different sizes required by landslides scales. To address this problem, we ...

Digital elevation models (DEMs) can be generate by interferometric SAR (InSAR) and radargrammetry techniques from different positions of Synthetic Aperture Radar (SAR) images. Radar imaging systems record both the phase (or time) and intensity information of the backscattered signals. InSAR utilises the phase information of the images to extract useful geodetic information, such as the height o...

Time Series SAR interferometry (InSAR) (TS-InSAR) has been widely applied to monitor the crustal deformation with centimeter- millimeter-level accuracy. Phase unwrapping (PU) errors have proven be one of main sources bias that hinder achieving such high In this article, a new time series PU approach is developed improve The rationale behind proposed method first sparse by mitigating phase gradi...