295 citations · 295 across the 1 of their papers we have counts for
3 papers
cs.LG2019
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales
Dapeng Feng, Kuai Fang, Chaopeng Shen
Recent observations with varied schedules and types (moving average, snapshot, or regularly spaced) can help to improve streamflow forecasts, but it is challenging to integrate the…
cs.LG2019
Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions
Kuai Fang, Chaopeng Shen, Daniel Kifer
Soil moisture is an important variable that determines floods, vegetation health, agriculture productivity, and land surface feedbacks to the atmosphere, etc. Accurately modeling s…
stat.ML2017★ 295 cited
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network
Kuai Fang, Chaopeng Shen, Daniel Kifer +1
The Soil Moisture Active Passive (SMAP) mission has delivered valuable sensing of surface soil moisture since 2015. However, it has a short time span and irregular revisit schedule…