Riverine litter monitoring from multispectral fine pixel satellite images

• DOI: 10.1016/j.envadv.2023.100451
• Publication Date: 2023-11-17T04:56:44Z
• Authors: Shungudzemwoyo P....; Young-Je Park
• Keywords: Litter

Mismanaged litter/debris in aquatic systems can pose threats to water quality and blue economic activities. Monitoring strategies like remote sensing complement support the gathering of relevant descriptors useful understanding challenges related leakage litter. We present a robust technique for detecting quantifying floating riverine litter, soup natural anthropogenic materials. Spectral information GeoEye, PlanetScope Skysat fine resolution satellite imagery was statistically transformed into spatial anomalies correlated fractional-pixel litter abundance. Algorithm development also involved techniques that accounted variation data characteristics. The detected fractional abundance converted unit surface area region-of-interest. Intercomparison derived coverage from matching images captured by various unique sensors constellation were consistent (R²=0.98). Likewise, manually had very strong linear relationship algorithm estimates (R²>0.99). prospect time series observations over several years at sub-daily near daily intervals demonstrated using cloud-free imagery. Transferability as well easy adaptation further showcased application bodies Guatemala Slovakia.