Multiple-Depth Soil Moisture Estimates Using Artificial Neural Network and Long Short-Term Memory Models

Data-driven approaches for runoff prediction using distributed data

(2021) Heechan Han et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices

(2021) Thomas James et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Machine Learning-Based Small Hydropower Potential Prediction under Climate Change

(2021) Jaewon Jung et al.   Energies

A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning

(2020) Zhongrun Xiang et al.   WATER RESOURCES RESEARCH

Comparison of Long Short Term Memory Networks and the Hydrological Model in Runoff Simulation

(2020) Hongxiang Fan et al.   Water

Use of a high-resolution-satellite-based precipitation product in mapping continental-scale rainfall erosivity: A case study of the United States

(2020) Jungho Kim et al.   CATENA

Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004

(2019) Heechan Han et al.   Atmosphere

Modelling of soil moisture retention curve using machine learning techniques: Artificial and deep neural networks vs support vector regression models

(2019) Kevin O. Achieng   COMPUTERS & GEOSCIENCES

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang et al.   JOURNAL OF HYDROLOGY

Dynamic Neural Network Modelling of Soil Moisture Content for Predictive Irrigation Scheduling

(2018) Olutobi Adeyemi et al.   SENSORS

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

Estimation of soil temperature from meteorological data using different machine learning models

(2018) Yu Feng et al.   GEODERMA

Recent Advances in Soil Moisture Estimation from Remote Sensing

(2017) Jian Peng et al.   Water

Review of Machine Learning Approaches for Biomass and Soil Moisture Retrievals from Remote Sensing Data

(2015) Iftikhar Ali et al.   Remote Sensing

Modeling daily soil temperature using data-driven models and spatial distribution

(2014) Sungwon Kim et al.   THEORETICAL AND APPLIED CLIMATOLOGY

An intercomparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula

(2013) R. M. Parinussa et al.   HYDROLOGICAL PROCESSES

Fusion of remotely sensed data for soil moisture estimation using relevance vector and support vector machines

(2012) Bushra Zaman et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Observational evidence for soil-moisture impact on hot extremes in southeastern Europe

(2010) Martin Hirschi et al.   Nature Geoscience

Landslide susceptibility mapping using downscaled AMSR-E soil moisture: A case study from Cleveland Corral, California, US

(2010) Ram L. Ray et al.   REMOTE SENSING OF ENVIRONMENT

Estimating soil moisture using remote sensing data: A machine learning approach

(2009) Sajjad Ahmad et al.   ADVANCES IN WATER RESOURCES

Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies

(2009) Hylke E. Beck et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins

(2008) Daniele Norbiato et al.   JOURNAL OF HYDROLOGY

Soil moisture updating by Ensemble Kalman Filtering in real-time flood forecasting

(2008) Jürgen Komma et al.   JOURNAL OF HYDROLOGY

Data-driven modelling: some past experiences and new approaches

(2007) Dimitri P. Solomatine et al.   JOURNAL OF HYDROINFORMATICS