2020 Systemic Land Cover Data, Upper Mississippi River System (UMRS)
Dates
Start Date
2020-08-11
End Date
2020-08-26
Citation
2020 Systemic Land Cover Data, Upper Mississippi River System (UMRS): U.S. Geological Survey data release, https://doi.org/10.5066/P9U46VQP.
Summary
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. The main purpose of the Land Cover/Land Use (LCU) spatial datasets is for resource managers and researchers to assess and evaluate current (2020) vegetation components and long-term vegetation trends of navigable pools (the stretch of river between locks and dams) and reaches of the UMRS. These pools [...]
Summary
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. The main purpose of the Land Cover/Land Use (LCU) spatial datasets is for resource managers and researchers to assess and evaluate current (2020) vegetation components and long-term vegetation trends of navigable pools (the stretch of river between locks and dams) and reaches of the UMRS. These pools and reaches include Pools 1 through 26, the Open River Reach, the entire Illinois River, and the navigable portions of the Minnesota, St. Croix, and Kaskaskia Rivers.
Digital aerial imagery was collected of the systemic UMRS from 20200811 to 20200826 by a U.S. Fish and Wildlife Service and U.S. Geological Survey team. The aerial imagery, collected in 4-band (red, green, blue, and near infrared) with 60% forward overlap and 30% side overlap, was captured at a resolution of 0.2 meters/pixel above Mississippi River Lock & Dam 13 and at a resolution of 0.4 meters/pixel below Lock & Dam 13 and the Illinois River. The raw aerial imagery was processed to make orthorectified mosaics and produce stereo models for the mapping team to view imagery in three-dimension (3D) using specialized 3D computer workstations. The orthomosaic imagery were used by the mapping team to aid fieldwork and mapping.
Prior to mapping LCU features, the mapping team conducted fieldwork to compare ground conditions of LCU features to their signatures (appearances) in the digital aerial imagery. The mapping team interpreted LCU features by viewing the 4-band digital aerial imagery in 3D using computer workstations equipped with ArcGIS Desktop and Stereo Analyst for ArcGIS (SAfA) software. The orthomosaic imagery provided additional reference in the mapping process. The mapping team applied map conventions based on the LCU classification and used the data collected from fieldwork to guide their interpretation of LCU features as presented in the aerial imagery. The applicable minimum mapping unit (MMU) convention for the project area was applied in the mapping. Two MMU conventions exist for the UMRS; a 0.4-hectare MMU applied to the project areas (pools or reaches) above Mississippi River Lock & Dam 13 (the 0.2-meter/pixel imagery) and a 1.0-hectare MMU applied to the project areas (pools or reaches) below Lock & Dam 13 and the Illinois River (the 0.4-meter/pixel imagery). As portions of the project area were completed by the initial mapper, those mapped portions were then provided to another mapper for quality assurance/quality control (QA/QC). To provide classification codes in the map layer with meaningful content, a table of classification-code definitions and crosswalks to other classification systems was joined to the LCU spatial database. A final review of the LCU spatial database was conducted to ensure completeness.