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Proceedings of SPIE - the International Society for Optical Engineering

ISSN:0277786X

2019

Pelevin, V.¹

Molkov, A.¹

10.1117/12.2533323

This paper is devoted to the study of the possibilities of restoring the concentrations of chlorophyll-a (Chl-a) and total suspended matter (TSM) in fresh waterbodies using the images of Sentinel-2 / MSI of the Gorky reservoir as an example, validated via the high-resolution ground-truth data obtained by fluorescence lidar UFL. This water area in the period of intense chromaticity of cyanobacteria is distinguished by their completely heterogeneous spatial-temporal distribution with scales of patchiness from several tens of meters and high temporal variability. For this reason, direct methods of "spot" measurements in place on water samples in a small part of the reservoir for 3 hours relative to the satellite's span do not provide us with reliable and statistically proved data. In this regard, the work proposed an original method of high-performance sub-satellite synchronous measurements of the brightness of the water column, concentrations of Chl-a and TSM with a fluorescent lidar onboard a high-speed vessel. This technique is provided with a spatial (8 m) and a temporary (1 s) resolution. Based on this, 4 independent regional models for the recovery of Chl-a concentrations, as well as TSM were developed based on in-situ measurements of the brightness of the water surface, or from Sentinel-2 / MSI images. To ensure the possibility of using satellite images, the analysis of atmospheric correction algorithms was performed and the best one was determined. The proposed models can be used for regular environmental monitoring of the Gorky Reservoir according to the in-situ ship measurements of the brightness of the water surface or from Sentinel-2 / MSI images. When using the proposed methodology for lidar high-performance collection of sub-satellite data, the developed models can be adapted for limnological monitoring of other freshwater bodies with high spatial and temporal variability of the optical properties of water.

FLUORESCENCE LIDAR, GROUND-TRUTH DATA, SENTINEL, UFL, WATER QUALITY PARAMETERS

2019-12-12 15:49:00