Water Cover and Stream Channel Monitoring, Red River

Submitted by Anonymous (not verified) on Mon, 07/30/2018 - 14:12

The BLM National Operations Center (NOC) is using multi-date aerial photography and remotely sensed imagery to delineate recent and historical river channel extents and gradients of the Red River (Texas/Oklahoma) as a continuation of support of the BLM New Mexico State Office (NMSO).

Data from spaceborne sensors such as Landsat 5, Landsat 8, and Sentinel-2 were used to characterize Red River extent and channel movements. These datasets were processed in the Google Earth Engine (GEE) development environment, which combines a large imagery catalog with a suite of spatial and aspatial tools for analysis and product generation. A time series video illustrating over 30 years of water cover trends along the Red River was produced in GEE from the Landsat imagery archive. This video provided BLM officials with a powerful visual tool to further understand the Red River’s dynamic variations in streamflow and channel morphology.

In addition to exploiting the Landsat and Sentinel-2 archives, the BLM utilized commercial high-resolution imagery to provide finer-scale water cover information. WorldView-3 data acquired in March 2016 were orthocorrected and pan-sharpened to produce a fine-resolution (35-cm) image product. Lidar data were also collected during spring 2016 along a large reach of the Red River. The data were acquired under rigorous accuracy standards (U.S. Geological Survey Lidar Base Specification Quality Level 1 (QL1)) and could provide a valuable new scientific dataset for the Federal and civil community. Resultant lidar products included a classified point cloud, hydro-breaklines, and a fine-scale bare earth surface dataset.

Digital Elevation Model (DEM) derived from lidar data of the Red River.

Digital Elevation Model (DEM) derived from lidar data of the Red River.

Author Name
Christopher Cole
Author Email