Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products
Agricultural Research Service · United States Department of Agriculture · +6 more institutions
Abstract
The contrast between the point‐scale nature of current ground‐based soil moisture instrumentation and the ground resolution (typically >10 2 km 2 ) of satellites used to retrieve soil moisture poses a significant challenge for the validation of data products from current and upcoming soil moisture satellite missions. Given typical levels of observed spatial variability in soil moisture fields, this mismatch confounds mission validation goals by introducing significant sampling uncertainty in footprint‐scale soil moisture estimates obtained from sparse ground‐based observations. During validation activities based on comparisons between ground observations and satellite retrievals, this sampling error can be…
Citation impact
- FWCI
- 30.92
- Percentile
- 100%
- References
- 114
Authors
9- WTWade T. CrowCorresponding
Agricultural Research Service, United States Department of Agriculture
- ABAaron Berg
University of Guelph
- MHMichael H. Cosh
Agricultural Research Service, United States Department of Agriculture
- ALAlexander Loew
Max Planck Institute for Meteorology
- BPBinayak P. Mohanty
Texas A&M University
Topics & keywords
- Environmental science
- Water content
- Satellite
- Remote sensing
- Scale (ratio)
- Footprint
- Sampling (signal processing)
- Ground truth
- Life in Land