Global monitoring of snow water equivalent using high frequency radar remote sensing
Seasonal snow cover is the largest single component of the cryosphere in areal extent,
covering an average of 46 million square km of Earth's surface (31% of the land area) each …
covering an average of 46 million square km of Earth's surface (31% of the land area) each …
Passive microwave remote sensing of snow depth: Techniques, challenges and future directions
S Tanniru, R Ramsankaran - Remote Sensing, 2023 - mdpi.com
Monitoring snowpack depth is essential in many applications at regional and global scales.
Space-borne passive microwave (PMW) remote sensing observations have been widely …
Space-borne passive microwave (PMW) remote sensing observations have been widely …
Quantifying the uncertainty in passive microwave snow water equivalent observations
Passive microwave sensors (PM) onboard satellites have the capability to provide global
snow observations which are not affected by cloudiness and night condition (except when …
snow observations which are not affected by cloudiness and night condition (except when …
Cold regions hydrology high-resolution observatory for snow and cold land processes
Snow is a critical component of the global water cycle and climate system, and a major
source of water supply in many parts of the world. There is a lack of spatially distributed …
source of water supply in many parts of the world. There is a lack of spatially distributed …
A land surface data assimilation framework using the land information system: Description and applications
The Land Information System (LIS) is an established land surface modeling framework that
integrates various community land surface models, ground measurements, satellite-based …
integrates various community land surface models, ground measurements, satellite-based …
SMRT: An active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1. 0)
The Snow Microwave Radiative Transfer (SMRT) thermal emission and backscatter model
was developed to determine uncertainties in forward modeling through intercomparison of …
was developed to determine uncertainties in forward modeling through intercomparison of …
Simulation of the microwave emission of multi-layered snowpacks using the dense media radiative transfer theory: The DMRT-ML model
DMRT-ML is a physically based numerical model designed to compute the thermal
microwave emission of a given snowpack. Its main application is the simulation of brightness …
microwave emission of a given snowpack. Its main application is the simulation of brightness …
Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites
Snow depth retrievals from spaceborne C-band synthetic aperture radar (SAR) backscatter
have the potential to fill an important gap in the remote monitoring of seasonal snow …
have the potential to fill an important gap in the remote monitoring of seasonal snow …
The impact of snow depth and snowmelt on the vegetation variability over central Siberia
M Grippa, L Kergoat, T Le Toan… - Geophysical …, 2005 - Wiley Online Library
We report the results of a joint analysis of NDVI data derived from NOAA‐AVHRR and snow
parameters (snow depth and snowmelt timing) derived from satellite passive microwave …
parameters (snow depth and snowmelt timing) derived from satellite passive microwave …
Estimating snow depth by combining satellite data and ground-based observations over Alaska: A deep learning approach
Snow cover plays a vital role in the climate system because it is related to climate,
hydrological cycle, and ecosystem. On this basis, deriving a long-term and large-scale snow …
hydrological cycle, and ecosystem. On this basis, deriving a long-term and large-scale snow …