Strategic Plan
Agreement
6/1/2016 - "5. Provide ARS with annual performance reports and a final performance report per the applicable provisions. The annual reports are due by June 1 of each year the Agreement is active..."
- Work Closely with the ARS in planning and conducting the research outlined below.
- TL Swetnam has worked closely with ARS staff to create new data products and analyze data and write results for scientific papers.
- Conduct research using Cooperator and ARS facilities, as appropriate. Activities include:
- Review LiDAR derived digital elevation models from Pima County (SRER) and USGS contracted QL1 airborne lidar products (Walnut Gulch) to ensure bare earth topography has been accurately separated from vegetation and assess algorithms.
- Analysis of the SRER lidar has been completed (bare earth and segmentation of the vegetation)
- The pilot USGS Walnut Gulch lidar data was delivered in February and underwent a quick quality control / quality assurance
- The full USGS lidar data set has not been delivered (as of 5/12/2016).
- Map large woody species on SRER and Walnut Gulch using airborne lidar data.
- The SRER lidar has been segmented into a single stem inventory which include the canopy metrics and point cloud details for each shrub taller than 2 feet.
- Species characterization has not yet been conducted. Once the WGEW lidar is delivered the analysis can begin.
- The SRER lidar has been segmented into a single stem inventory which include the canopy metrics and point cloud details for each shrub taller than 2 feet.
- Develop a method to scale from the individual perennial midgrass plant to NEON AOP 1 meter resolution using ground, and UAV lidar and imagery for which some portion of the imagery capture or processing could be done in house or contracted, depending on the maturity of the available tools.
- Collaborator and sub-contractor Temuulen Sankey (NAU) has prepared a manuscript for Geophysical Research Letters which discusses her UAV hyperspectral and lidar capability. Some of the letter discusses the utility of the UAV for collecting fine scale observations which can be scaled down and be compared to NEON AOP data.
- Assess the ability of UAV lidar to quantify forage utilization at the pasture scale.
- We collected UAV lidar and SfM on Walnut Gulch in October 2015. We have also begun to collect UAV SfM data on SRER which will be ongoing through Fall 2016.
- Contract for a consistent classification on both the SRER and Walnut Gulch to vegetative states appropriate for the MLRA 41 ecological site state and transition models.
- This work is being led by Dan Robinett
- Review LiDAR derived digital elevation models from Pima County (SRER) and USGS contracted QL1 airborne lidar products (Walnut Gulch) to ensure bare earth topography has been accurately separated from vegetation and assess algorithms.
- Work closely with ARS to prepare findings for publication in peer-reviewed journals and presentations at meetings and/or commodity groups.
- We are currently working with ARS to submit the Sankey et al. letter to GRL (est. submission 5/31), and are continuing to develop new papers for future submission.
- Be responsible and accountable for the performance and conduct of all Cooperator employees assigned to the project. ARS does not have authority to supervise Cooperator employees or engage in the employer/employee relationship of the Cooperator
- see top note
- Refer to applicable provisions regarding Publications and Acknowledgement of Support
- The following acknowledgement of Awarding Agency support must appear in the publications of any materials which is based upon or developed under this agreement (whether or not copyrighted).
"This material is based upon work supported by the U.S. Department of Agriculture, Agricultural Research Service, under Agreement No. 58-2022-5-13."
All such materials must also contain the following disclaimer unless the publication is formally cleared by USDA:
"Any opinions, findings, conclusion, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture.
Range Use Agreement
Milestones
October 2015 | November 2015 | December 2015 | January 2016 | February 2016 | March 2016 | April 2016 | May 2016 | June 2016 | July 2016 | August 2016 | September 2016 | October 2016 | November 2016 | December 2016 | January 2017 | February 2017 | March 2017 | April 2017 | May 2017 | June 2017 | July 2017 | August 2017 | September 2017 | ||
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Workstation Build |
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UAV Build |
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UAV Field Data Collection (WGER) |
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UAV Field Data Collection (SRER) |
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TLS Field Data Collection (WGER) |
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TLS Field Data Collection (SRER) |
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Walnut Gulch Woolpert lidar QAQC |
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Watershed delineation (SRER) |
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Walnut Gulch lidar vegetation mapping |
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UAV SfM vs TLS vs ALS Remote Sensing Letter (Sankey et al.) |
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UAV SfM vs TLS vs ALS Remote Sensing Letter (Swetnam et al.) |
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SfM & ALS grazing production paper (Swetnam & McClaran) |
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Mesquite Allometry lidar paper (Swetnam, Naito, Biederman)
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NEON calibration workflow (Swetnam & Barron-Gafford) |
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Deliverables
- Define definitive boundaries around 8 SRER watersheds using ground-based LiDAR.
- Locate the 8 watershed boundaries
- 10/30 Update
- Six of the SRER watersheds are located within the 2011 PAG LiDAR flight area, four are in the 'high density' lidar data area, two are in the low density area
- Conducted test segmentation of the areas using AGWA
- 10/30 Update
- Determine if UAV SfM is possible alternative to LiDAR
- Determine where likely TLS scanning is needed
- Determine the amount of time required to complete
- Locate the 8 watershed boundaries
- Define definitive boundaries around Walnut Gulch sub-watersheds using USGS contracted QL1 LiDAR data flown at peak biomass.
- Update 10/30: Trained to use AGWA tool in refresher workshop
- Spoke with Shea about meeting to discuss further applications including the LiDAR project.
- Delivery of USGS LiDAR between March and May 2016
- One week of time to run QAQC and data exploration
- Expect at least two weeks to conduct analyses and write up a brief (3-6 page) summary report
- Update 10/30: Trained to use AGWA tool in refresher workshop
- Map large woody species (oak, walnut, willow, mesquite, creosote, whitethorn, tarbush, sumac) on Walnut Gulch using USGS contracted QL1 LiDAR data and more detailed ground/UAV flights.
- Waiting to see how NAU hyperspectral data does at Kendall and Lucky Hills
- Update 11/3: First cut of hyperspectral image segmentation from Teki
- The pixel size is 6 cm, and individual plants are clearly delineated - this image is of a 'segmentation'.
- The pixel size is 6 cm, and individual plants are clearly delineated - this image is of a 'segmentation'.
- Update 11/3: First cut of hyperspectral image segmentation from Teki
- Need to work with Greg Barron-Gafford using his hex-copter.
- Update 11/3: Spoke with Adam Naito about his SRER Mesquite brush clearing project
- He has collected Mesquite allometry (n=120) and species diversity data for several locations already, is planning to share these data
- I will be coordinating with him on a possible paper for Remote Sensing of Environment on mesquite allometry and my segmentation algorithm.
- Need to purchase our own drone - Tyson has a few ideas to pursue besides the eBee which may be cheaper and more powerful.
- Update 10/29: Spoke with an undergradaute student Marco
- Waiting to see how NAU hyperspectral data does at Kendall and Lucky Hills
- Develop a method to scale from the individual plant (perennial midgrass and larger) using ground and UAV LiDAR as well as UAV imagery (SFM) to NEON AOP data @ 1 meter to Landsat @ 30 m.
- Tyson needs to develop a solid description of the NEON AOP with an associated flow for how data can scale to TLS and UAV sensors.
- This will require assessing various sensors, platforms, and protocols to develop low-cost methods capable of capturing even those grasses growing under mesquites.
- Assess the ability of UAV LiDAR to quantify grazing utilization at the pasture scale and compare with standard field methods. Can we get a better handle on the value of forage consumed across a pasture?
- Preliminary LiDAR data suggests that we may be seeing the surface of the grass with some precision - suggesting it may be possible to measure utilization roughly from change detection.
, multiple selections available,