This project explores remote sensing of vegetation and soils as a tool for hypothetical pasture growth monitoring. Several studies have shown plants are sensitive to high CO2 concentrations in soil, with prolonged exposure leading to the vegetation disintegrating. Researchers in this study characterised the temporal dynamics of vegetation cover from 1988 to 2017, using time series data from the Landsat (satellite) sensor. With remote monitoring they evaluated the spatial variability in vegetation condition (including cover, chlorophyll content) at a high resolution using an hyperspectral aerial imagery. These data sources show that vegetation cover is highly variable in the spatial and in the temporal dimensions following environmental and human-induced drivers in the study area. The time series satellite data show how vegetation changes within a season and between seasons and the specific trends over time. It is also possible to identify areas within the Glenhaven Station which were cropped in the past and other areas which have had other type of disturbances. The hyperspectral imagery provides a much more spatially detailed picture of the vegetation condition at just one moment in time.