Interferometric Synthetic Aperture Radar (InSAR) provides a valuable means of assessing ground and structural changes using satellite-based radar imagery. This presentation walks through the workflow of acquiring, processing, and preparing coherence data for use in a building damage assessment study.
We begin with data acquisition using the Alaska Satellite Facility’s Vertex tool, selecting and downloading InSAR coherence products. Next, we outline the use of ArcPy to automate key preprocessing steps: applying masks, clipping coherence rasters to building footprints, and structuring the dataset for statistical analysis. Challenges in handling large datasets, dealing with null values, and ensuring spatial alignment are discussed.
With processed coherence values linked to individual building footprints, we then explore initial statistical methods for assessing damage patterns. The goal is to establish a foundation for classification, setting the stage for more advanced spatial and statistical techniques. This workflow provides a replicable approach for integrating InSAR data into disaster impact studies.
