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Dryland ecosystems are important yet understudied sinks of carbon dioxide (CO₂) and methane (CH₄), and sources of nitrous oxide (N₂O). Hence, monitoring greenhouse gas (GHG) fluxes and their responses to climate change in these systems is increasingly important. This thesis investigates the potential of hyperspectral reflectance data (between 390 and 1750nm) to predict greenhouse gas fluxes during
