Carbon cycle: ESP and UAV data processing approaches for forest ecosystem monitoring examples

Abstract

The review article provides a comprehensive overview of modern methods and approaches for processing large volumes of observational data in the context of monitoring forest ecosystems. The article shows examples of processing various data obtained using Earth remote sensing (ERS) and unmanned aerial vehicles (UAVs). Particular attention is paid to assessing the carbon cycle; the practice of using machine learning methods in processing monitoring data is also discussed in detail, as they play a key role in increasing the accuracy of the resulting estimates. The article also discusses modern geographic information systems designed for complex analysis of data from various natural complexes.