Combination of Active and Passive Microwave to Estimate Snowpack Properties in Great Lakes Area
نویسندگان
چکیده
In this research we examine active and passive microwave to snow water equivalent (SWE) and to investigate the potential of combining active and passive microwaves to improve the estimation of SWE. The study area is located in Great Lakes area between the latitudes of 41N–49N and the longitudes of 87W–98W. Passive microwave are obtained from DMSP SSM/I sensors provided by NSIDC. Active microwave were obtained from different sensors: 1) RADARSAT C-Band SAR. 2) QuikSCAT Ku-band (13.4GHz) for both vertical and horizontal polarizations. The ground truth data was obtained from SNODAS data set produced by NOHRSC. An Artificial Neural Network model was defined to model various combinations of inputs to SWE. The results indicate that none of the active microwave channels produce satisfactory results. However, when combined with passive microwave, they improve the estimated SWE.
منابع مشابه
Synergistic Use of Remote Sensing for Snow Cover and Snow Water Equivalent Estimation
An increasing number of satellite sensors operating in the optical and microwave spectral bands represent an opportunity for utilizing multi-sensor fusion and data assimilation techniques for improving the estimation of snowpack properties using remote sensing. In this paper, the strength of a synergistic approach of leveraging optical, active and passive microwave remote sensing measurements t...
متن کاملPreliminary Assessment of the Impact of Lakes on Passive Microwave Snow Retrieval Algorithms in the Arctic
The retrieval of snow water equivalent (SWE) and snow depth (SD) information from passive microwave brightness temperatures is theoretically straightforward: as the depth and/or density of snow increases, so too does the amount of volume scatter of naturally emitted microwave energy. Shorter wavelength energy (i.e. 37 GHz) is more readily scattered than longer wavelength energy (i.e. 19 GHz), s...
متن کاملA prototype AMSR-E global snow area and snow depth algorithm
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 conti...
متن کاملPUBLISHED BY THE AMERICAN GEOPHYSICAL UNION Coupling the snow thermodynamic model SNOWPACK with the microwave emission model of layered snowpacks for subarctic and arctic snow water equivalent retrievals
[1] Satellite-passive microwave remote sensing has been extensively used to estimate snow water equivalent (SWE) in northern regions. Although passive microwave sensors operate independent of solar illumination and the lower frequencies are independent of atmospheric conditions, the coarse spatial resolution introduces uncertainties to SWE retrievals due to the surface heterogeneity within indi...
متن کاملA Global Snowmelt Product Using Visible, Passive Microwave and Scatterometer Satellite Data
Seasonal snow cover is a key component of the Earth’s energy balance and a key storage mechanism for water. In many areas of the world, people rely on snowmelt runoff for their water resources. For example, melting snow contributes upwards of 70% of the total annual water supply in the western U.S., and in India, Pakistan, Afghanistan, and Nepal snow and ice melt from the Hindu Kush and Himalay...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007