Characterising soil moisture in transport corridor environments using airborne LIDAR and CASI data

摘要

Much of the world’s transport networks are located on cutting and embankment earthworks. In the UK, many of thesenearthwork structures were constructed in the mid-19th century and are susceptible to slope instability. Instability in transportncorridors tends to be triggered by an increase in pore water pressure, which is directly influenced by an increase in soilnmoisture. This study explores the integration of high spatial resolution airborne (1 m) LIght Detection And Ranging (LIDAR)nand Compact Airborne Spectrographic Imager (CASI) imagery to characterize soil moisture distribution for a transport corridornnear Haltwhistle, UK. The distribution of soil moisture is estimated using these sensors through techniques that are relativelynunaffected by, or make use of, the presence of vegetation, unlike other techniques using thermal, shortwave and microwavensensors. Terrain analysis calculations of potential solar radiation and a topographic wetness index were applied to a DEMninterpolated from the LIDAR point data. The CASI imagery was used to map Ellenberg moisture indicator values using partialnleast squares regression. Individually, the remotely sensed metrics were found to have poor correlations with observed soilnmoisture. However, improvements could be made using an integrated model which demonstrated a correlation coefficient ofn0D68. The resulting integrated model showed soil moisture content to increase on north-facing earthworks and towards thentoe of earthwork slopes. Concentrations of moisture were also predicted in cuttings where water is contributed from areasnsurrounding the earthworks