Caroline Petus

TL;DR: In this paper, regional empirical algorithms based on in-situ data were tested to retrieve the concentration of total suspended matter and turbidity from the remote sensing reflectance, and the respective sensitivity of MODIS surface reflectance bands 1 and 2 for water quality application was investigated as well as the quality of atmospheric corrections.

TL;DR: The extent of flood plume water over a 10 year period was mapped using quasi-true colour imagery and used to calculate long-term frequency of occurrence of the plumes, and a classification procedure was applied to satellite imagery to characterise flood plumes.

TL;DR: The findings suggest that even reefs with an inherent resistance to reduced water quality are not able to withstand repeated disturbance events, and underscores the importance of integrated management approaches that combine effective land-based management with networks of no-take reserves.

TL;DR: Recent remote sensing techniques developed to monitor river plumes and water quality in the GBR are reviewed and emerging research that integrates hydrodynamic models with remote sensing and in situ data is discussed, enabling us to explore impacts of different catchment management strategies on GBR water quality.

TL;DR: This study developed a novel, complementary, approach to model exposure of coastal-marine ecosystems to land-based pollutants and used supervised classification of MODIS-Aqua true-color satellite imagery to map the extent of plumes and to qualitatively assess the dispersal of pollutants in plumes in the Great Barrier Reef.