Presentation Type

Poster Presentation

In Person or Zoom Presentation

Virtual via Zoom

Campus

Prescott

Status

Faculty

Faculty/Staff Department

Applied Aviation Sciences

Presentation Description/Abstract

The establishment of Verde River Headwaters State Park in Chino Valley, Arizona, marks a significant conservation milestone with the acquisition of 734 acres of the historic Del Rio Springs Ranch by the Trust for Public Land in March 2024. Now under the stewardship of Arizona State Parks & Trails (ASPT), this site encompasses Sullivan Lake, Del Rio Springs, critical riparian habitats, and historically significant landmarks including the 1863 Arizona territorial capital and 1920s Fred Harvey Farm structures. This initiative yields substantial benefits, including annual water savings within the Prescott Active Management Area, the extension of the Peavine National Recreation Trail, and ecosystem restoration.

Embry-Riddle Aeronautical University (ERAU) has partnered with ASPT to employ advanced remote sensing technology to advance environmental monitoring. Preliminary analysis of 2018 airborne LiDAR acquisitions over approximately 400 acres have generated precise datasets on vegetation height, streamline delineation, and topography, informing park planning, hydrological modeling, and vegetation structure assessment.

Future efforts will integrate Uncrewed Aircraft Systems (UAS)-based LiDAR and multispectral imagery as well as radar observations from NASA and ISRO’s newly launched NISAR satellite, and onsite ecological assessments, including xylem flux measurements on mature riparian trees. This rigorous and interdisciplinary collaboration comprising ERAU faculty and students, ASPT representatives, experts from NASA’s Jet Propulsion Laboratory, and ecological and UAS expertise, aims to develop a robust, scalable basis for surface water management and ecosystem analysis. Additionally, planned cross-platform comparisons will provide the science team with sensor tradeoffs and enhance the validation and accuracy of existing and future remote sensing systems and products.

Keywords

Verde River, Remote Sensing, LiDAR, Radar, NISAR, Surface Water, Vegetation Structure, Conservation

Comments

Verde River Headwaters State Park: https://www.tpl.org/our-work/verde-river-headwaters-state-park

NISAR: https://nisar.jpl.nasa.gov/

Share

COinS
 

Advancing Environmental Monitoring at Verde River Headwaters State Park through Integrated Remote Sensing Technologies

The establishment of Verde River Headwaters State Park in Chino Valley, Arizona, marks a significant conservation milestone with the acquisition of 734 acres of the historic Del Rio Springs Ranch by the Trust for Public Land in March 2024. Now under the stewardship of Arizona State Parks & Trails (ASPT), this site encompasses Sullivan Lake, Del Rio Springs, critical riparian habitats, and historically significant landmarks including the 1863 Arizona territorial capital and 1920s Fred Harvey Farm structures. This initiative yields substantial benefits, including annual water savings within the Prescott Active Management Area, the extension of the Peavine National Recreation Trail, and ecosystem restoration.

Embry-Riddle Aeronautical University (ERAU) has partnered with ASPT to employ advanced remote sensing technology to advance environmental monitoring. Preliminary analysis of 2018 airborne LiDAR acquisitions over approximately 400 acres have generated precise datasets on vegetation height, streamline delineation, and topography, informing park planning, hydrological modeling, and vegetation structure assessment.

Future efforts will integrate Uncrewed Aircraft Systems (UAS)-based LiDAR and multispectral imagery as well as radar observations from NASA and ISRO’s newly launched NISAR satellite, and onsite ecological assessments, including xylem flux measurements on mature riparian trees. This rigorous and interdisciplinary collaboration comprising ERAU faculty and students, ASPT representatives, experts from NASA’s Jet Propulsion Laboratory, and ecological and UAS expertise, aims to develop a robust, scalable basis for surface water management and ecosystem analysis. Additionally, planned cross-platform comparisons will provide the science team with sensor tradeoffs and enhance the validation and accuracy of existing and future remote sensing systems and products.

 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.