Spatial patterns of water quality and remote sensing indices from UAV-based multispectral imagery across an irrigation pond.

ABSTRACT: Water quality of irrigation water is an essential factor for public safety and farm sustainability. Imaging surface water sources from unmanned aerial vehicles (UAVs) has become an important source of water quality information. Water quality variables (WQVs) in irrigation ponds have been shown to have persistent spatial patterns. The objective of this work was to test the hypothesis that (a) persistent spatial patterns can be found in reflectance and remote sensing indices from UAV-based multispectral imagery of irrigation ponds, and (b) those patterns can significantly correlate with patterns of WQVs. We utilized data from sampling, in-situ sensing, and UAV-based imaging of a commercial 4-ha farm pond in Maryland. Seventeen water quality variables were measured on a permanent grid during

SUBMITTER: Hong S 

PROVIDER: S-EPMC11872542 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature