Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/45241
Title: | Remote sensing capabilities to support EWN® projects : an R&D approach to improve project efficiencies and quantify performance |
Authors: | Suir, Glenn M. Reif, Molly K. Saltus, Christina L. |
Keywords: | Remote sensing Environmental management Restoration ecology |
Publisher: | Engineer Research and Development Center (U.S.) |
Series/Report no.: | Technical Note (Engineering With Nature Program (U.S.)) ; no. ERDC/TN EWN-22-5 |
Abstract: | Engineering With Nature (EWN®) is a US Army Corps of Engineers (USACE) Initiative and Program that promotes more sustainable practices for delivering economic, environmental, and social benefits through collaborative processes. As the number and variety of EWN® projects continue to grow and evolve, there is an increasing opportunity to improve how to quantify their benefits and communicate them to the public. Recent advancements in remote sensing technologies are significant for EWN® because they can provide project-relevant detail across a large areal extent, in which traditional survey methods may be complex due to site access limitations. These technologies encompass a suite of spatial and temporal data collection and processing techniques used to characterize Earth's surface properties and conditions that would otherwise be difficult to assess. This document aims to describe the general underpinnings and utility of remote sensing technologies and applications for use: (1) in specific phases of the EWN® project life cycle; (2) with specific EWN® project types; and (3) in the quantification and assessment of project implementation, performance, and benefits. |
Description: | Technical Note |
Gov't Doc #: | ERDC/TN EWN-22-5 |
Rights: | Approved for Public Release; Distribution is Unlimited |
URI: | https://hdl.handle.net/11681/45241 http://dx.doi.org/10.21079/11681/45241 |
Size: | 15 pages / 2.28 MB |
Types of Materials: | |
Appears in Collections: | Technical Note |
Files in This Item:
File | Description | Size | Format | |
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ERDC-TN EWN-22-5.pdf | 2.28 MB | Adobe PDF | ![]() View/Open |