Monitoring of Ecosystem Metabolisms through Remotely and Proximally Sensed High-frequency Data toward Enhanced Sinks and ReducedSources of Greenhouse Gases

Abstract

The ability to predict the biogeochemical consequences of our actions for global climate failed as with the case of predicting many major natural, social, political or financial events throughout the human history. These unforeseen changes have been triggered by the interaction of many root causes such as unpredictable stochastic events, epistemological uncertainty, and lack of data to gauge the potential for changes to take place. In its constant and systematic search to be less wrong, however, the science strives for integrative and quantitative metrics and signals to better understand, monitor, predict and manage interdependencies and interconnections among society, environment, and economy.