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https://hdl.handle.net/11681/40262| Title: | Monitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classification |
| Authors: | Lasko, Kristofer D. Griffin, Sean P. |
| Keywords: | Restoration ecology--Monitoring Environmental management Remote sensing Geospatial data Geographic information systems |
| Publisher: | Geospatial Research Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TR-21-3 |
| Abstract: | Monitoring the impacts of ecosystem restoration strategies requires both short-term and long-term land surface monitoring. The combined use of unmanned aerial systems (UAS) and satellite imagery enable effective landscape and natural resource management. However, processing, analyzing, and creating derivative imagery products can be time consuming, manually intensive, and cost prohibitive. In order to provide fast, accurate, and standardized UAS and satellite imagery processing, we have developed a suite of easy-to-use tools integrated into the graphical user interface (GUI) of ArcMap and ArcGIS Pro as well as open-source solutions using NodeOpenDroneMap. We built the Monitoring Ecological Restoration with Imagery Tools (MERIT) using Python and leveraging third-party libraries and open-source software capabilities typically unavailable within ArcGIS. MERIT will save US Army Corps of Engineers (USACE) districts significant time in data acquisition, processing, and analysis by allowing a user to move from image acquisition and preprocessing to a final output for decision-making with one application. Although we designed MERIT for use in wetlands research, many tools have regional or global relevancy for a variety of environmental monitoring initiatives. |
| Description: | Technical Report |
| Gov't Doc #: | ERDC/GRL TR-21-3 |
| Rights: | Approved for Public Release; Distribution is Unlimited |
| URI: | https://hdl.handle.net/11681/40262 http://dx.doi.org/10.21079/11681/40262 |
| Size: | 48 pages / 8.92 MB |
| Types of Materials: | |
| Appears in Collections: | Technical Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC-GRL TR-21-3.pdf | 8.92 MB | Adobe PDF |  View/Open |