Evaluating A New Approach For Streamflow Estimation Using Remotely Sensed Snowmelt Area

Seasonal streamflow prediction in snowmelt-driven basins is critical for hydrological applications, yet many regions lack sufficient ground-based observations to support traditional forecasting methods. This study introduces a satellite-based approach

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Published
2025-10-13
DOI
https://doi.org/10.22541/essoar.176036961.15874196/v1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
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article

Evaluating A New Approach For Streamflow Estimation Using Remotely Sensed Snowmelt Area

Mark S. Raleigh, Eric E. Small, Bareera N. Mirza
Hydrology and Watershed Management Studies
article

Evaluating A New Approach For Streamflow Estimation Using Remotely Sensed Snowmelt Area

Mark S. Raleigh, Eric E. Small, Bareera N. Mirza
article en

Abstract

Seasonal streamflow prediction in snowmelt-driven basins is critical for hydrological applications, yet many regions lack sufficient ground-based observations to support traditional forecasting methods. This study introduces a satellite-based approach

Oregon State University (US), University of Colorado System (US)
Openalex Percentile: Top 73%
Hydrology and Watershed Management Studies
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Evaluating A New Approach For Streamflow Estimation Using Remotely Sensed Snowmelt Area — Mark S. Raleigh, Eric E. Small, et al. · (2025) | TGRS Research Map | TGRS