From Earth's Ecosystems to Exoplanets
portes grátis
From Earth's Ecosystems to Exoplanets
Proceedings of the 4th International Conference on BioGeoSciences: Modeling Natural Environments (November 15-17, 2023,Cayo Santa Maria, Villa Clara, Cuba)
Rodriguez, Lien; Cardenas, Rolando; Martin, Osmel; Mochalov, Vladimir
Springer Nature Switzerland AG
05/2026
480
Dura
Inglês
9783032097231
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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.
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BioGeoSciences Technology;Sustainable Resource Management;Climate and Hydrological Processes;Ecosystem Dynamics;Environmental Modeling
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.
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