Water level forecasting using deep learning time-series analysis: A case study of red river of the north
The Red River of the North is vulnerable to floods, which have caused significant damage
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …
and economic loss to inhabitants. A better capability in flood-event prediction is essential to …
[HTML][HTML] Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States
Terrestrial and airborne laser scanning and structure from motion techniques have emerged
as viable methods to map snow depths. While these systems have advanced snow …
as viable methods to map snow depths. While these systems have advanced snow …
The value of long‐term (40 years) airborne gamma radiation SWE record for evaluating three observation‐based gridded SWE data sets by seasonal snow and land …
Observation‐based long‐term gridded snow water equivalent (SWE) products are important
assets for hydrological and climate research. However, an evaluation of the currently …
assets for hydrological and climate research. However, an evaluation of the currently …
Identifying subsurface drainage using satellite Big Data and machine learning via Google Earth Engine
Human‐induced landscape changes affect hydrologic responses (eg, floods) that can be
detected from a suite of satellite and model data sets. Tapping these vast data sets using …
detected from a suite of satellite and model data sets. Tapping these vast data sets using …
UAS remote sensing applications to abrupt cold region hazards
Unoccupied aerial systems (UAS) are an established technique for collecting data on cold
region phenomenon at high spatial and temporal resolutions. While many studies have …
region phenomenon at high spatial and temporal resolutions. While many studies have …
Extreme value snow water equivalent and snowmelt for infrastructure design over the contiguous United States
Snowmelt‐driven floods result in large societal and economic impacts on local communities
including infrastructure failures in the United States. However, the current US government …
including infrastructure failures in the United States. However, the current US government …
How satellite soil moisture data can help to monitor the impacts of climate change: SMAP case studies
C Forgotson, PE O'Neill, ML Carrera… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Socially and economically costly extreme weather events have become more prevalent in
the last decade. Monitoring and early warning systems could help mitigate the impact of …
the last decade. Monitoring and early warning systems could help mitigate the impact of …
[HTML][HTML] Spring snowmelt flood disasters in Altay, Northwest China: Spatio-temporal distribution and mechanisms
D Tuoliewubieke, W Mao, J Yao, X Zhang, S Li… - Journal of Hydrology …, 2025 - Elsevier
Study region Altay region in Northwest China. Study focus The frequency, intensity, and
impacts of spring snowmelt flood disasters have changed significantly. However, there is still …
impacts of spring snowmelt flood disasters have changed significantly. However, there is still …
The utility of SMAP soil moisture and freeze-thaw datasets as precursors to spring-melt flood conditions: A case study in the Red River of the North Basin
A Davitt, G Schumann, C Forgotson… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
We evaluated NASA soil moisture active-passive (SMAP) soil moisture (SM) and freeze-
thaw (FT) datasets for the utility to identify FT and SM conditions as precursors to a 2017 …
thaw (FT) datasets for the utility to identify FT and SM conditions as precursors to a 2017 …
Comparative Study of Deep Learning LSTM and 1D-CNN Models for Real-time Flood Prediction in Red River of the North, USA
The Red River of the North has a history of flooding, dating back to the late 1800s. Flooding
in the Red River is caused by a combination of factors, including heavy snowfall, heavy …
in the Red River is caused by a combination of factors, including heavy snowfall, heavy …