Landscape Change Analysis at High Spatial Resolution with Point Cloud Data
Disciplines
Geomorphology | Physical and Environmental Geography
Abstract (300 words maximum)
This study looks at the topographical change in response to vegetation treatments at selected sites along Thompson Creek located in Lorton, Virginia. As a part of a long-term research project, plots on the banks of a headwater stream were selected for analysis. The repeat scans of each plot were conducted by the other team members over a duration of 4 years at an interval of six months. This data was collected using a Leica C10 laser scanner. The raw data was imported into Leica Cyclone suite. The point clouds were then aligned by fall and spring seasons for each site. A mesh was then created for each plot which was then broken into four subsections. From these meshes, the volume was determined for the whole plot as well as the four subsections. The difference in volume between the seasons can be compared to show how the volume changes over time in the whole plot and each of the subsections. The subsection analyses would also help determine if the slope of the plot affects the topographic change over time and the extent of that change. These results can be used to determine vegetation treatment outcomes at high spatial resolution.
Keywords:
Change Detection, Erosion, 3D Point Clouds, Volume Measurement, Mosses
Academic department under which the project should be listed
RCHSS - Geography & Anthropology
Primary Investigator (PI) Name
Ranbir Kang
Landscape Change Analysis at High Spatial Resolution with Point Cloud Data
This study looks at the topographical change in response to vegetation treatments at selected sites along Thompson Creek located in Lorton, Virginia. As a part of a long-term research project, plots on the banks of a headwater stream were selected for analysis. The repeat scans of each plot were conducted by the other team members over a duration of 4 years at an interval of six months. This data was collected using a Leica C10 laser scanner. The raw data was imported into Leica Cyclone suite. The point clouds were then aligned by fall and spring seasons for each site. A mesh was then created for each plot which was then broken into four subsections. From these meshes, the volume was determined for the whole plot as well as the four subsections. The difference in volume between the seasons can be compared to show how the volume changes over time in the whole plot and each of the subsections. The subsection analyses would also help determine if the slope of the plot affects the topographic change over time and the extent of that change. These results can be used to determine vegetation treatment outcomes at high spatial resolution.
Keywords:
Change Detection, Erosion, 3D Point Clouds, Volume Measurement, Mosses