Christian M. Erikson , Evan N. Dethier , Carl E. Renshaw
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引用次数: 0
Abstract
Proliferation of retrogressive thaw slumps has the potential to dominate the sediment yield in arctic watersheds through an influx of hillslope-derived sediment to rivers. We develop a suite of algorithms to semi-automate measurements of thaw slump growth and river suspended sediment concentrations from satellite imagery with the intent of linking the production of sediments on a hillslope to the presence of sediment in an adjacent stream at the seasonal scale. We apply our semi-automated methods to quantify seasonal changes in scar zone area, headwall retreat, and suspended sediment concentration at a thaw slump in the Canadian Northwest Territories, which has doubled in size during the observation period. The semi-automated approaches record up to 30 cm/day of headwall retreat, strongly correlated with warm season temperature, and an approximate doubling in suspended sediment concentration downstream of the thaw slump relative to an upstream control reach. The semi-automated results of the slump growth compare well with previous observations of retrogressive thaw slumps and with manual measurements from satellite imagery. Seasonal patterns in the suspended sediment concentration and thaw slump erosion identify the signal of thaw slump sediments in the river as most prominent during the late summer, when sediment stored in the scar zone can be mobilized by precipitation. The ability of the semi-automated methods to capture the seasonal dynamics of the reach demonstrates the possibility of extending their use to other thaw slumps across the Arctic.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.