activity
20172025
most citedProlongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network

295 citations · 295 across the 1 of their papers we have counts for

collaborators
Showing stat.MLShow 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…