InSAR Crowdsourcing Annotation System With Volunteers Uploaded Photographs: Toward a Hazard Alerting System

• Published in: IEEE geoscience and remote sensing letters Vol. 19; pp. 1 - 5
• Main Authors: Xiong, Siting, Wang, Chisheng, Chen, Chunjing, Zhang, Bochen, Li, Qingquan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Annotations; Buildings; Crowdsourcing; Deformation; Deformation effects; Deformation recognition and classification; Displacement; Hazards; In situ measurement; Interferometric synthetic aperture radar; interferometric synthetic aperture radar (InSAR); Land acquisition; Prototypes; SAR (radar); Strain; Synthetic aperture radar; Synthetic aperture radar interferometry; Task analysis; time-series deformation; volunteered geographic information (VGI)

Interferometric synthetic aperture radar (InSAR) has been more and more applied in acquiring long-term deformation of land surface in a large coverage and is becoming a routine investigation technique. Validation of the InSAR results depends largely on the in situ measurements. These measurements ar...