Professor Rolando Cardenas finished B Sc in Chemistry in 1988, PhD in Physics in 2003 and Doctorate in Science in 2019. Since its foundation in 2010, he is the Director of the Planetary Science Laboratory of Universidad Central ‘‘Marta Abreu‘‘ de Las Villas (Santa Clara, Cuba). His main research interest is mathematical modeling of natural environments, especially applied to Oceanography, Biophysics, and Planetary Science in general.

• Part I The Lithosphere.- I.1 Kinetic and thermodynamic study of urea sorption in clay from the Manicaragua region, Villa Clara, Cuba.- Part II The Hydrosphere.- II.1 Turbidity recovery in Lake Villarrica using spectral indices and Sentinel-2 images.- II.2 Generation of time series of water levels from radar altimetry data in lake Ranco in southern Chile.- Part III The Atmosphere.- III.1 Atmospheric Rivers: Impacts, Detection and Future Projections.- III.2 Bibliometric review: Microplastics in the atmosphere.- Part IV The Biosphere.- IV.1 Theoretical physical-mathematical model for relative activity of anammox.- IV.2 Mathematical Modeling of Photosynthesis in Medicinal Plants.- IV.3 Influence of Acidification on the Habitability of Coastal Ecosystems.- IV.4 Plastic pollution in the Wildlife of the Americas: A Bibliometric Analysis.- IV.5 Evaluation of the ecosystem services of an urban lagoon and associated wetland, BioBio region, Chile.- IV.6 Cyanobacteria as bioindicators of eutrophication fresh water south-central zone of Chile.- IV.7 Effects of Pesticide Use on South American Wildlife. Review.- IV.8 Characteristic vectors to select the best probability distribution in survival.- IV.9 Calanoids copepods sizes patterns in a latitude gradient in Chilean lakes and lagoons.- Part V Algorithms and Technology Development in BioGeoSciences.- V.1 Cloud bee apiary.- V.2 Beehives made of polyethylene foam.- V.3 Open-source autopilot based Autonomous Surface Vehicle (ASV) for environmental monitoring.- V.4 Monitoring Chlorophyll-a concentrations in Lake Laja using Landsat data and Google Earth Engine.- V.5 Design of synchronization protocols for LoRa networks in IoT applications.- V.6 Irrigation System Based on Evapotranspiration Forecasting Using Machine Learning.