A prototype AMSR-E global snow area and snow depth algorithm

  title={A prototype AMSR-E global snow area and snow depth algorithm},
  author={Richard E. J. Kelly and Alfred T. C. Chang and Leung Tsang and James L. Foster},
  journal={IEEE Trans. Geosci. Remote. Sens.},
A methodologically simple approach to estimate snow depth from spaceborne microwave instruments is described. The scattering signal observed in multifrequency passive microwave data is used to detect snow cover. Wet snow, frozen ground, precipitation, and other anomalous scattering signals are screened using established methods. The results from two different approaches (a simple time and continentwide static approach and a space and time dynamic approach) to estimating snow depth were compared… 

Snow Satellite Algorithm Development and Verification based on the Ground Snow Observation using a Ground Microwave Radiometer

A new snow algorithm for the advanced microwave scanning radiometer and the AMSR for earth observation system (AMSR-E) is developed and validates the algorithm by using the snow depth data observed at Sapporo, JAPAN.

Implementation of dynamic snow density within GlobSnow snow water equivalent retrieval methodology

Abstract. Snow water equivalent (SWE) is an important variable in describing global seasonal snow cover. Traditionally, SWE has been measured manually at snow transects or using observations from

A New Operational Snow Retrieval Algorithm Applied to Historical AMSR-E Brightness Temperatures

The results show that the AMSR-E algorithm generally performs better than the operational one and addresses some major issues identified in the spatial distribution of snow depth fields associated with the evolution of effective grain size.

Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy

Snow water equivalent (SWE) is an important variable in describing global seasonal snow cover. Traditionally, SWE has been measured manually at snow transects or using observations from weather

The effects of variation in snow properties on passive microwave snow mass estimation

The Potential for Estimating Snow Depth With QuikScat Data and a Snow Physical Model

The results show that the snow thermal model simulated grain size can be used to improve the snow depth estimation from active microwave remote sensing.

'The AMSR2 Satellite-Based Microwave Snow Algorithm (SMSA): A New Algorithm for Estimating Global Snow Accumulation

A new satellite microwave remote sensing approach for estimating snow depth and snow water equivalent (SWE) is presented called the Satellite-based Microwave Snow Algorithm (SMSA), which provides SWE estimates that are independent of real or near real-time in situ and model data.

Enhanced snow cover mapping using combined optical and passive microwave data

Results are presented which describe the respective advantages and disadvantages of these two types of satellite data for snow cover mapping and demonstrate how a multi-sensor product is optimal.



Retrieval of Regional Snow Water Equivalent from Space-Borne Passive Microwave Observations

Progress in AMSR Snow Algorithm Development

Advanced Microwave Scanning Radiometer (AMSR) will be flown on-board of the Japanese Advanced Earth Observing Satellite-II (ADEOS-II) and United States Earth Observation System (EOS) PM-1 satellite.

Snow depths and grain-size relationships with relevance for passive microwave studies

The application of passive microwave radiometry to the remote sensing of snow properties is based on the ratio of emitted to scattered portions of the upwelling radiation. Increased scattering is

Nimbus-7 SMMR Derived Global Snow Cover Parameters

Snow covers about 40 million km2 of the land area of the Northern Hemisphere during the winter season. The accumulation and depletion of snow is dynamically coupled with global hydrological and

Discrimination of a wet snow cover using passive microwave satellite data

Snow-cover monitoring using passive microwave remote sensing methods has been shown to be seriously limited under melt conditions when the snowpack becomes wet. A wet snow indicator has been

The utilization of spaceborne microwave radiometers for monitoring snowpack properties. [United States and Canada]

Snow accumulation and depletion at specific locations can be monitored from space by observing related variations in microwave brightness temperatures. Using vertically and horizontally polarized

Estimation of snow water equivalent using passive microwave radiation data

  • A. Tait
  • Environmental Science
    IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium
  • 1996
The principal objective of this study was to analyze, through regression modelling, the degree to which passive microwave radiation can be used to interpret snow water equivalent. The methodology

Recent northern hemisphere snow extent: A comparison of data derived from visible and microwave satellite sensors

During the past four decades much important information on Northern Hemisphere snow extent has been provided by the NOAA weekly snow extent charts derived from visible‐band satellite imagery. Passive

Assessment of the relative accuracy of hemispheric-scale snow-cover maps

Abstract There are several hemispheric-scale satellite-derived snow-cover maps available, but none has been fully validated. For the period 23 October–25 December 2000, we compare snow maps of North