Recurrence plots from altimetry data of some lakes in Africa

TL;DR

This paper demonstrates how recurrence plots derived from satellite altimetry data can visually compare the water level dynamics of four African lakes, aiding in understanding regional hydrological behaviors.

Contribution

It introduces a method of using recurrence plots on remote sensing data to analyze and compare lake level variations in Africa.

Findings

Recurrence plots effectively visualize lake level dynamics.

The method allows comparison of different lakes' behaviors.

Remote sensing data can be used for hydrological analysis.

Abstract

The paper shows recurrence plots obtained from time series of the level variations of four lakes in Africa (Nasser, Tana, Chad and Kainji). The data, coming from remote sensing, are provided by the United States Department of Agriculture. The recurrence plots allow a good visual comparison of the behaviours of local drainage basins.