Improving soil salinity prediction with high resolution DEM derived from LiDAR data

Paper

Liu, Xiaoye, Peterson, Jim, Zhang, Zhenyu and Chandra, Shobhit. 2005. "Improving soil salinity prediction with high resolution DEM derived from LiDAR data." 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS 2005). Beijing, China 17 - 19 Oct 2005
Paper/Presentation Title

Improving soil salinity prediction with high resolution DEM derived from LiDAR data

Presentation TypePaper
AuthorsLiu, Xiaoye (Author), Peterson, Jim (Author), Zhang, Zhenyu (Author) and Chandra, Shobhit (Author)
Journal or Proceedings TitleProceedings of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS 2005)
Number of Pages3
Year2005
Conference/Event9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS 2005)
Event Details
9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS 2005)
Event Date
17 to end of 19 Oct 2005
Event Location
Beijing, China
Abstract

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.

Keywordssalinity; Victoria; LiDAR;
ANZSRC Field of Research 2020370704. Surface water hydrology
410402. Environmental assessment and monitoring
410601. Land capability and soil productivity
Public Notes

c. ISPMSRS.

Byline AffiliationsMonash University
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https://research.usq.edu.au/item/9zy9x/improving-soil-salinity-prediction-with-high-resolution-dem-derived-from-lidar-data

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