Snow depth variability in the Northern Hemisphere mountains observed from space
Ghent University · KU Leuven · +16 more institutions
Abstract
Accurate snow depth observations are critical to assess water resources. More than a billion people rely on water from snow, most of which originates in the Northern Hemisphere mountain ranges. Yet, remote sensing observations of mountain snow depth are still lacking at the large scale. Here, we show the ability of Sentinel-1 to map snow depth in the Northern Hemisphere mountains at 1 km² resolution using an empirical change detection approach. An evaluation with measurements from ~4000 sites and reanalysis data demonstrates that the Sentinel-1 retrievals capture the spatial variability between and within mountain ranges, as well as their inter-annual differences. This is showcased with the contrasting snow…
Citation impact
- FWCI
- 24.59
- Percentile
- 100%
- References
- 65
Authors
17- HLHans LievensCorresponding
Ghent University, KU Leuven
- MDMatthias Demuzere
Ghent University, Ruhr University Bochum
- HMHans‐Peter Marshall
Boise State University, Cold Regions Research and Engineering Laboratory
- RHRolf H. Reichle
Goddard Space Flight Center
- LBLudovic Brucker
Goddard Space Flight Center, Universities Space Research Association
Topics & keywords
- Snow
- Northern Hemisphere
- Climate change
- Physical geography
- Geology
- Environmental science
- Climatology
- Geography
- Clean water and sanitation