Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches
Work
Year: 2017
Type: article
Abstract: In the development of a satellite-based precipitation product, two important aspects are sufficient precipitation information in the satellite-input data and proper methodologies, which are used to e... more
Source: Journal of Hydrometeorology
Institution University of California, Irvine
Cites: 38
Cited by: 55
Related to: 10
FWCI: 3.727
Citation percentile (by year/subfield): 99.99
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Sustainable Development Goal Clean water and sanitation
Open Access status: hybrid
Funders National Science Foundation, National Aeronautics and Space Administration, Army Research Office
Grant IDS CCF1331915, NNX15AN86H, W911NF-11-1-0422