Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA

• Published in: Remote sensing of environment Vol. 124; pp. 348 - 359
• Main Authors: Zhao, Chaoying, Lu, Zhong, Zhang, Qin, de la Fuente, Juan
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 01.09.2012; Elsevier
• Subjects: ALOS/PALSAR; Animal, plant and microbial ecology; Applied geophysics; Biological and medical sciences; California; deformation; Detection; early warning systems; Earth sciences; Earth, ocean, space; Exact sciences and technology; Fundamental and applied biological sciences. Psychology; General aspects. Techniques; Interferometric SAR (InSAR); Internal geophysics; Landslide; landslides; Monitoring; Oregon; rain; remote sensing; synthetic aperture radar; Synthetic aperture radar (SAR); Teledetection and vegetation maps; Oregon; Northern California; California; United States; Landslide; Synthetic aperture radar (SAR); Interferometric SAR (InSAR); Detection; ALOS/PALSAR; Monitoring; data; slopes; Image; North America; Slope; Result; precipitation; imagery; deformation; Synthetic aperture radar; Threshold; satellites; detection; Gradient; maps; Time series; baseline; monitoring; backscattering; Northwest; Geographical division; Individual; landslides; Measurement accuracy; movement; radar methods; Multidate observation

Multi-temporal ALOS/PALSAR images are used to automatically investigate landslide activity over an area of ~200km by ~350km in northern California and southern Oregon. Interferometric synthetic aperture radar (InSAR) deformation images, InSAR coherence maps, SAR backscattering intensity images, and...