Multiresolution Broad Area Search: Monitoring Spatial Characteristics of Gapless Remote Sensing Data

Journal of Data Science

article

Laura J. Wendelberger¹  Josh M. Gray³  Alyson G. Wilson¹  Rasmus Houborg⁵  Brian J. Reich¹ 

[1] Department of Statistics, North Carolina State University;Lawrence Livermore National Laboratory;Department of Forestry, North Carolina State University;Center for Geospatial Analytics, North Carolina State University;Planet Labs PBC

关键词: Bayesian;    change detection;    monitoring;    online;    remote sensing;    wavelet;   

DOI  :  10.6339/22-JDS1072

学科分类：土木及结构工程学

来源: JDS

【 摘 要 】

Global earth monitoring aims to identify and characterize land cover change like construction as it occurs. Remote sensing makes it possible to collect large amounts of data in near real-time over vast geographic areas and is becoming available in increasingly fine temporal and spatial resolution. Many methods have been developed for data from a single pixel, but monitoring pixel-wise spectral measurements over time neglects spatial relationships, which become more important as change manifests in a greater number of pixels in higher resolution imagery compared to moderate resolution. Building on our previous robust online Bayesian monitoring (roboBayes) algorithm, we propose monitoring multiresolution signals based on a wavelet decomposition to capture spatial change coherence on several scales to detect change sites. Monitoring only a subset of relevant signals reduces the computational burden. The decomposition relies on gapless data; we use 3 m Planet Fusion Monitoring data. Simulations demonstrate the superiority of the spatial signals in multiresolution roboBayes (MR roboBayes) for detecting subtle changes compared to pixel-wise roboBayes. We use MR roboBayes to detect construction changes in two regions with distinct land cover and seasonal characteristics: Jacksonville, FL (USA) and Dubai (UAE). It achieves site detection with less than two thirds of the monitoring processes required for pixel-wise roboBayes at the same resolution.

【 授权许可】

CC BY