Baselight is shutting down June 30.
Export any data that you want to keep. Read the announcement.

Baselight
Sign In
usgov

Channel Morphology Data From Selected Reaches Along The Rio Grande-Bravo, Texas: 2022 - 2024

Verified Source
US Government

@usgov.department_of_the_interior_channel_morphology_from_sel_dd1d9cbe

Loading...
Loading...

Department of the Interior

Dataset Description

These data are channel morphology survey points for long-term monitoring of the Rio Grande-Rio Bravo within Big Bend National Park and the Rio Grande Wild and Scenic River. The National Park Service’s Chihuahuan Desert Network collects data to understand how the river responds to natural and human-induced changes in streamflow. Specifically, these data aim to evaluate: 1) indicators of channel simplification; 2) trends in geomorphic processes as reflected in channel and floodplain form; and 3) changes in narrowing in response to regulated and unregulated flows. Complimentary data investigate streamflow and related changes in the abundance, composition, and distribution of riparian vegetation. These shifts may lead to channel simplification through vegetation encroachment, stabilization of formerly active channel deposits, and the creation of new floodplain surfaces due to lateral and vertical deposition of alluvial sediments. Since 2022, the Chihuahuan Desert Network conducts annual surveys at nine reaches along the Rio Grande River. Data collection is adapted from the Northern Colorado Plateau Network’s (NCPN) big rivers monitoring protocol (Perkins et al. 2018). At each site, we use real-time kinematic positioning systems to measure multiple stream channel cross-sections / transects and a longitudinal profile focused on edge of water.
Organization: Department of the Interior
Organization URL: https://catalog.data.gov/organization/doi
Last updated: 2025-05-22T00:00:00Z
Tags: BIBE, Big Bend National Park, RIGR, Rio Grande Wild and Scenic River, erosion, geomorphology, global positioning systems, hydrography, long term monitoring, mapping, rivers, sedimentation, topography


Related Datasets

Share link

Anyone who has the link will be able to view this.