Predicting water quality from geospatial lake, catchment, and buffer zone characteristics in temperate lowland lakes
Kenneth Thorø Martinsen, Kaj Sand‐Jensen
Abstract
(negative), and color (negative). Our analysis shows that the combination of machine learning methods and geospatial data can be used to predict lake water quality and improve national upscaling of predictions related to nutrient and carbon cycling.
Topics & Concepts
Geospatial analysisWater qualityTemperate climateEnvironmental scienceDrainage basinHydrology (agriculture)Buffer zoneWater resource managementGeographyEcologyGeologyRemote sensingCartographyBiologyGeotechnical engineeringWater Quality and Pollution AssessmentAquatic Ecosystems and Phytoplankton DynamicsFish Ecology and Management Studies