Please wait for the process to complete.
Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
||This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (email@example.com) for information on this resource.|
|Storage:||The size of this resource is 5.4 MB|
|Created:||May 01, 2018 at 5:25 p.m.|
|Last updated:|| May 01, 2018 at 5:48 p.m.
|Citation:||See how to cite this resource|
|+1 Votes:||Be the first one to this.|
|Comments:||No comments (yet)|
AWRA GIS & Water Resources X: Spatial Analysis of Watersheds: Ecological, Hydrological and Societal Responses
April 22 – 25, 2018
Abstract Title: LiDAR and Wetlands: Acquisition Guidelines for these Challenging Landforms
Presenter: Sandra Fox, SJRWMD
Co-authors: Keith Paterson, Dewberry; Nick Kules, Dewberry; Kimberli Ponzio, SJRWMD; Steven J. Miller, SJRWMD; Richard Guilfoyle, SJRWMD; Bill Van Sickle, SJRWMD; James Walters, SJRWMD; Sherry Brandt-Williams, SJRWMD, Al Karlin, SWFWMD
Abstract included in Topical Session
Topical Session Title: New and Emerging LiDAR Technologies: High Density and TopoBathymetric LiDAR Sensors (organized by Dr. Al Karlin, SWFWMD)
As part of a topical session devoted to new and emerging Light Detection and Ranging (LiDAR) technologies, this presentation focuses on the challenges present when wetlands are a major component of the landscape, particularly in Florida. Examples: A “standard” driver for determining acquisition timing has been “leaf off” conditions, which may not be relevant in our sunny clime especially in wetlands. A far more relevant driver is hydrology. Wetlands are not always “wet”; simple models based on historical stage records are being used in the Upper St Johns River Basin (USJRB) to “fly when it’s dry” – a better driver for LiDAR acquisition. The problem of dense vegetation obscuring true ground has been successfully addressed with high point densities and 55% flight overlap, among other sensor specifications. Lastly, successful results involving reprocessing and recalibrating older (2012) LiDAR data, also in USJRB wetlands (at a significant cost savings compared to re-flying the project area) will be presented.
Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
There are currently no comments