Restoration monitoring metric framework: Integrating innovative remote-sensing technologies: Comparisons between field and remotely sensed vegetation surveys of restored forested and grassland sites in Ohio

Heather Theel; Molly Reif; Safra Altman; Christina Saltus; Nathan R. Beane; Samuel S. Jackson; Scott Bourne; Jennifer Laird; Shea Hammond; Kenneth Matheson; Thomas Berry; Jo Ellen Hinck; Keith Grabner; Esther D. Stroh; Robin L. Tillitt; Kristin Skrabis

doi:10.21079/11681/49490

Restoration monitoring metric framework: Integrating innovative remote-sensing technologies: Comparisons between field and remotely sensed vegetation surveys of restored forested and grassland sites in Ohio

Final Technical Report ERDC/EL TR-24-19

DOI Office of Restoration and Damage Assessment; U.S. Fish and Wildlife Service; National Park Service; Bureau of Reclamation; Bureau of Land Management; DOI Office of the Solicitor

By: Heather Theel, Molly Reif, Safra Altman, Christina Saltus, Nathan R. Beane, Samuel S. Jackson, Scott Bourne, Jennifer Laird, Shea Hammond, Kenneth Matheson, Thomas Berry, Jo Ellen Hinck, Keith Grabner, Esther D. Stroh, Robin L. Tillitt, and Kristin Skrabis

https://doi.org/10.21079/11681/49490

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Abstract

Restoration monitoring is generally perceived as costly and time-consuming, yet the concept of universal restoration monitoring metrics is trending for evaluation of restoration performance across spatial scales, project boundaries, and jurisdictions. Natural Resource Damage Assessment and Restoration (NRDAR) practitioners seek to restore natural resources injured by oil spills or hazardous substance releases into the environment. Therefore, a multiagency team [US Army Engineer Research and Development Center (ERDC), US Department of the Interior (DOI), and US Department of Energy (DOE)] developed and field-tested a multitiered monitoring framework, illustrating a range of field and remote-sensing techniques and methodologies. The restoration monitoring framework and field demonstration offer a unique methodology to acquire and evaluate simultaneously collected, multiscale/multiplatform data. The result of this research provides new insights to (1) assist planning, implementing, and monitoring restoration progress and effectiveness; and (2) apply common monitoring methods, endpoints, and metrics to other types of ecosystem restoration initiatives. Although the aim was to inform monitoring and management of areas that had been injured, these methods could also be used to inform restoration monitoring practices in a broader context, benefiting environmental stewardship missions of all project partners.

Suggested Citation

Theel, H., Reif, M., Altman, S., Saltus, C., Beane, N.R., Jackson, S.S., Bourne, S., Laird, J., Hammond, S., Matheson, K., Berry, T., Hinck, J.E., Grabner, K., Stroh, E., Tillitt, R., Skrabis, K., 2024, Restoration monitoring metric framework: Integrating innovative remote-sensing technologies: Comparisons between field and remotely sensed vegetation surveys of restored forested and grassland sites in Ohio: Final Technical Report ERDC/EL TR-24-19, xxiv, 272 p., https://doi.org/10.21079/11681/49490.

Additional publication details
Publication type	Report
Publication Subtype	Federal Government Series
Title	Restoration monitoring metric framework: Integrating innovative remote-sensing technologies: Comparisons between field and remotely sensed vegetation surveys of restored forested and grassland sites in Ohio
Series title	Final Technical Report
Series number	ERDC/EL TR-24-19
DOI	10.21079/11681/49490
Publication Date	December 12, 2024
Year Published	2024
Language	English
Publisher	US Army Corps of Engineers, Engineer Research and Development Center
Contributing office(s)	Columbia Environmental Research Center
Description	xxiv, 272 p.