activity
20172025
most citedEnhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales

553 citations · 1.6k across the 6 of their papers we have counts for

collaborators
Showing 2017Show all

1 paper · 1 filter

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…