Short Baseline Subset (SBAS) InSAR

Knowledge graph centered on Short Baseline Subset (SBAS) InSAR with 11 nodes and 20 connections. Top connected: Buff-tailed Bumble Bee, A Case Study of Novel Landslide Activity Recogniti, Muddy Creek, East Muddy Creek Landslide Complex, Paonia Reservoir.

Method synopsis

Uses Advanced Land Observing Satellite-1 Interferometric Synthetic Aperture Radar data with Short Baseline Subset processing to detect and quantify very slow landslide movements over multi-year periods. Employs temporal unwrapping and DEM error correction to generate displacement velocity maps.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — A Case Study of Novel Landslide Activity Recognition Using ALOS-1 InSAR within the Ragged Mountain Western Hillslope in Gunnison County, Colorado, USA (2020), Remote Sensing. Implementations in other papers (listed below) may differ.

1. ALOS-1 scene acquisition and selection
   16 ALOS-1 scenes were acquired from 2007 to 2011 (orbit 194, frame 770, Fine Beam Mode). Scenes with snow cover were excluded from analysis. Only scenes without snow cover present were selected for interferometric processing.
   Quantities: 16 total scenes acquired, 10 scenes used in analysis after excluding snow-covered acquisitionsDuration: Data collection period from 25/12/2006 to 20/02/2011Conditions: Snow-free conditions required for scene selection, vegetated slopes present during snow-off season
   Equipment: ALOS-1 satellite, PALSAR sensor
2. SBAS network creation
   Short Baseline Subset (SBAS) Network established with perpendicular baselines through Delaunay triangulation based on selected scenes. Temporal baselines ranging from 46 to 506 days were used.
   Quantities: Temporal baselines: 46-506 days, perpendicular baselines established via triangulationDuration: Processing applied to 4-year datasetConditions: Based on scenes listed in Table 1 with suitable temporal and spatial baseline characteristics
   Equipment: SBAS processing software
3. Interferogram generation with modified SBAS algorithm
   Interferograms created using modified SBAS InSAR algorithm focusing on temporal rather than spatial unwrapping. Digital Elevation Model (DEM) error correction method applied in time domain after interferogram inversion.
   Quantities: Scene-wide phase ramps removed, coherent and stable processing on hillslope areasDuration: Processing covers full 2007-2011 timeframeConditions: Large baselines for ALOS-1 InSAR stacks, vegetated terrain conditions

Typical Equipment

• ALOS-1 satellite
• PALSAR sensor
• SBAS processing software
• Modified SBAS processing algorithm

Output Measurements

• Line of Sight displacement velocities
• interferograms
• time series displacement data

Papers Using This Protocol (1)

Species Studied With This Protocol

Places Where Used