Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework development and application to a tracer experiment on the Missouri River, USA
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Abstract
Rivers convey a broad range of materials, such as sediment, nutrients, and contaminants. Much of this transport can occur during or immediately after an episodic, pulsed event like a flood or an oil spill. Understanding the flow processes that influence the motion of these substances is important for managing water resources and conserving aquatic ecosystems. This study introduces a new remote sensing framework for characterizing dynamic phenomena at the scale of a channel cross-section: Hyperspectral Image Transects during Transient Events in Rivers (HITTER). We present a workflow that uses repeated hyperspectral scan lines acquired from a hovering uncrewed aircraft system (UAS) to quantify how a water attribute of interest varies laterally across the river and evolves over time. Data from a tracer experiment on the Missouri River are used to illustrate the components of the end-to-end processing chain we used to quantify the passage of a visible dye. The framework is intended to be flexible and could be applied in a number of different contexts. The results of this initial proof-of-concept investigation suggest that HITTER could potentially provide insight regarding the dispersion of a range of materials in rivers, which would facilitate ecological and geomorphic studies and help inform management.
Suggested Citation
Legleiter, C.J., Scholl, V.M., Sansom, B.J., and Burgess, M.A., 2024, Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework development and application to a tracer experiment on the Missouri River, USA: Remote Sensing, v. 19, no. 16, 3743, 33 p., https://doi.org/10.3390/rs16193743.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Hyperspectral Image Transects during Transient Events in Rivers (HITTER): Framework development and application to a tracer experiment on the Missouri River, USA |
| Series title | Remote Sensing |
| DOI | 10.3390/rs16193743 |
| Volume | 19 |
| Issue | 16 |
| Publication Date | October 09, 2024 |
| Year Published | 2024 |
| Language | English |
| Publisher | MDPI |
| Contributing office(s) | Columbia Environmental Research Center, Geosciences and Environmental Change Science Center, WMA - Observing Systems Division |
| Description | 3743, 33 p. |