Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/40262
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dc.contributor.authorLasko, Kristofer D.-
dc.contributor.authorGriffin, Sean P.-
dc.date.accessioned2021-04-12T15:59:51Z-
dc.date.available2021-04-12T15:59:51Z-
dc.date.issued2021-04-
dc.identifier.govdocERDC/GRL TR-21-3-
dc.identifier.urihttps://hdl.handle.net/11681/40262-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/40262-
dc.descriptionTechnical Report-
dc.description.abstractMonitoring 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.en_US
dc.description.sponsorshipEcosystem Management and Restoration Research Program (U.S.)en_US
dc.description.sponsorshipUnited States. Army. Corps of Engineers.-
dc.description.tableofcontentsAbstract ................................................................................................................................................... ii Figures .................................................................................................................................................... iv Preface .................................................................................................................................................... vi 1 Introduction ..................................................................................................................................... 1 1.1 Background ..................................................................................................................... 1 1.2 Objectives ........................................................................................................................ 2 2 Tool Suite Development ................................................................................................................. 3 2.1 UAS Processing Tools ...................................................................................................... 3 2.1.1 ArcMap Desktop .................................................................................................................. 4 2.1.2 ArcGIS Pro ............................................................................................................................ 7 2.1.3 NodeOpenDroneMap ......................................................................................................... 10 2.2 Satellite Imagery Tools.................................................................................................. 13 2.2.1 Image Download and Conversion ..................................................................................... 16 2.2.2 Image Pre-processing ........................................................................................................ 21 2.2.3 Image Analysis ................................................................................................................... 23 2.3 Tool installation and compatibility ............................................................................... 33 2.3.1 ArcGIS Pro Tool suite ......................................................................................................... 33 2.3.2 ArcMap Tool suite .............................................................................................................. 34 2.3.3 Node-ODM .......................................................................................................................... 34 3 Conclusion ..................................................................................................................................... 35 3.1 Additional Information .................................................................................................. 35 References ............................................................................................................................................ 36 Acronyms and Abbreviations .............................................................................................................. 39 Report Documentation Page-
dc.format.extent48 pages / 8.92 MB-
dc.format.mediumPDF-
dc.language.isoen_USen_US
dc.publisherGeospatial Research Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TR-21-3-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectRestoration ecology--Monitoringen_US
dc.subjectEnvironmental managementen_US
dc.subjectRemote sensingen_US
dc.subjectGeospatial dataen_US
dc.subjectGeographic information systemsen_US
dc.titleMonitoring Ecological Restoration with Imagery Tools (MERIT) : Python-based decision support tools integrated into ArcGIS for satellite and UAS image processing, analysis, and classificationen_US
dc.typeReporten_US
Appears in Collections:Technical Report

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