Liu, Xiaoye and Peterson, Jim and Zhang, Zhenyu and Chandra, Shobhit (2005) Improving soil salinity prediction with high resolution DEM derived from LiDAR data. In: 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS 2005), 17-19 Oct 2005, Beijing, China.
The aim of this study is to investigate the capability of integration of LiDAR derived terrain and hydrological features with other salinity related datasets to improve prediction of areas at risk from salinity in a catchment area in Victoria, Australia. Terrain and hydrological features including slope, drainage density and hilltop were generated from LiDAR derived DEM and a relative low quality DEM separately. These features were combined with other salinity related datasets to predict areas at risk from salinity. The results showed that using LiDAR-derived high quality DEM can improve the accuracy of salinity risk prediction.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||c. ISPMSRS.|
|Uncontrolled Keywords:||salinity; Victoria; LiDAR;|
|Depositing User:||Ms Leslie Blay|
|Date Deposited:||09 Sep 2011 05:09|
|Last Modified:||02 Jul 2013 23:56|
Actions (login required)
|Archive Repository Staff Only|