Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning
by
Resop, Jonathan P.
, Lehmann, Laura
, Hession, W. Cully
in
Aerial surveys
/ canopy height
/ Critical components
/ Density
/ Flooding
/ Floodplains
/ Flowers & plants
/ High resolution
/ Laser applications
/ Lasers
/ Lidar
/ Remote sensing
/ Roughness
/ Scanning
/ Seasonal variations
/ streams
/ Trees
/ UAVs
/ Unmanned aerial vehicles
/ Vegetation
/ vegetation density
2021
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning
by
Resop, Jonathan P.
, Lehmann, Laura
, Hession, W. Cully
in
Aerial surveys
/ canopy height
/ Critical components
/ Density
/ Flooding
/ Floodplains
/ Flowers & plants
/ High resolution
/ Laser applications
/ Lasers
/ Lidar
/ Remote sensing
/ Roughness
/ Scanning
/ Seasonal variations
/ streams
/ Trees
/ UAVs
/ Unmanned aerial vehicles
/ Vegetation
/ vegetation density
2021
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning
by
Resop, Jonathan P.
, Lehmann, Laura
, Hession, W. Cully
in
Aerial surveys
/ canopy height
/ Critical components
/ Density
/ Flooding
/ Floodplains
/ Flowers & plants
/ High resolution
/ Laser applications
/ Lasers
/ Lidar
/ Remote sensing
/ Roughness
/ Scanning
/ Seasonal variations
/ streams
/ Trees
/ UAVs
/ Unmanned aerial vehicles
/ Vegetation
/ vegetation density
2021
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning
Journal Article
Quantifying the Spatial Variability of Annual and Seasonal Changes in Riverscape Vegetation Using Drone Laser Scanning
2021
Request Book From Autostore
and Choose the Collection Method
Overview
Riverscapes are complex ecosystems consisting of dynamic processes influenced by spatially heterogeneous physical features. A critical component of riverscapes is vegetation in the stream channel and floodplain, which influences flooding and provides habitat. Riverscape vegetation can be highly variable in size and structure, including wetland plants, grasses, shrubs, and trees. This vegetation variability is difficult to precisely measure over large extents with traditional surveying tools. Drone laser scanning (DLS), or UAV-based lidar, has shown potential for measuring topography and vegetation over large extents at a high resolution but has yet to be used to quantify both the temporal and spatial variability of riverscape vegetation. Scans were performed on a reach of Stroubles Creek in Blacksburg, VA, USA six times between 2017 and 2019. Change was calculated both annually and seasonally over the two-year period. Metrics were derived from the lidar scans to represent different aspects of riverscape vegetation: height, roughness, and density. Vegetation was classified as scrub or tree based on the height above ground and 604 trees were manually identified in the riverscape, which grew on average by 0.74 m annually. Trees had greater annual growth and scrub had greater seasonal variability. Height and roughness were better measures of annual growth and density was a better measure of seasonal variability. The results demonstrate the advantage of repeat surveys with high-resolution DLS for detecting seasonal variability in the riverscape environment, including the growth and decay of floodplain vegetation, which is critical information for various hydraulic and ecological applications.
This website uses cookies to ensure you get the best experience on our website.