Name
Abstract | ||
|---|---|---|
Accurate measurements of snowpack properties are needed by scientists to better understand effects of climate variability on water resource availability. Satellite measurements currently assess snow cover rather than snow depth. Many in situ snow sensors/networks lack the necessary spatial and temporal sensitivity needed for such studies. Existing GPS networks are a potential source of new snow da... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/JSTARS.2015.2508673 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Snow,Global Positioning System,Satellites,Signal to noise ratio,Water,Soil,Geologic measurements | Meteorology,Satellite,Remote sensing,Signal-to-noise ratio,Azimuth,Global Positioning System,GPS signals,Retrieval algorithm,Snowpack,Snow,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 10 | 1939-1404 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristine M. Larson | 1 | 97 | 15.30 |
| Eric E. Small | 2 | 129 | 18.61 |