title: Remote sensing for restoration ecology: Application for restoring degraded, damaged, transformed, or destroyed ecosystems.
abstract: Restoration monitoring is generally perceived as costly and time consuming, given the assumptions of successfully restoring ecological functions and services of a particular ecosystem or habitat. Opportunities exist for remote sensing to bolster the restoration science associated with a wide variety of injured resources, including resources affected by fire, hydropower operations, chemical releases, and oil spills, among others. In the last decade, the role of remote sensing to support restoration monitoring has increased, in part due to the advent of high-resolution satellite sensors as well as other sensor technology, such as lidar. Restoration practitioners in federal agencies require monitoring standards to assess restoration performance of injured resources. This review attempts to address a technical need and provides an introductory overview of spatial data and restoration metric considerations, as well as an in-depth review of optical (e.g., spaceborne, airborne, unmanned aerial vehicles) and active (e.g., radar, lidar) sensors and examples of restoration metrics that can be measured with remotely sensed data (e.g., land cover, species or habitat type, change detection, quality, degradation, diversity, and pressures or threats). To that end, the present article helps restoration practitioners assemble information not only about essential restoration metrics but also about the evolving technological approaches that can be used to best assess them. Given the need for monitoring standards to assess restoration success of injured resources, a universal monitoring framework should include a range of remote sensing options with which to measure common restoration metrics. Integr Environ Assess Manag 2017;13:614-630. Published 2016. This article is a US Government work and is in the public domain in the USA.
authors.affiliation: US Army Engineer Research and Development Center, Environmental Laboratory, Joint Airborne Lidar Bathymetry Technical Center of Expertise, Kiln, Mississippi.
authors.forename: Molly K
authors.initials: MK
authors.lastname: Reif
authors.affiliation: US Army Engineer Research and Development Center, Environmental Laboratory, Vicksburg Mississippi.
authors.forename: Heather J
authors.initials: HJ
authors.lastname: Theel
mesh_terms: D004463:Ecology; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D058998:Remote Sensing Technology
keywords: Landscape metrics; Monitoring; Remote sensing; Restoration metrics; Sensor technology