NDLI: Reconstruction and validation of SCA from spectral mixture analysis

Content Provider	IEEE Xplore Digital Library
Author	Xiaojun Yin Jiancheng Shi Jinyang Du
Copyright Year	2011
Description	Author affiliation: Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing, China (Xiaojun Yin; Jiancheng Shi; Jinyang Du)
Abstract	As climate continues to change, the empirical methods of managing water, which are based on historical relationships between point measurements and runoff, are likely to become less accurate. Hence the utility of distributed snowmelt models based on a judicious integration of remotely sensed and surface measurements will consequently increase. However, as the analysis in this paper shows, translation of reflectance measurements from MODIS into a product that is useful for hydrologic analyses involves complicated, somewhat arcane knowledge. The daily products have data gaps and errors because of cloud cover and sensor viewing geometry. Rather than make users interpolate and filter these patchy daily maps without completely understanding the retrieval algorithm and instrument properties, we use the daily time series to improve the estimate of the measured snow properties for a particular day. We use a combination of noise filtering, snow/cloud discrimination, and interpolation and smoothing to produce our best estimate of the daily snow cover. We compare the result of smoothed SCA with TM SCA, the precise is 0.98 and RMSE is 0.06, but the RMSE is up to 0.22 and the precise is 0.9 when we compare the result between MYD10A1 and TM.
Starting Page	2346
Ending Page	2349
File Size	512088
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5964782
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Presses Wiener filter Snow Adaptive Wiener filter Fractional snow cover Sensors Remote sensing MODIS Water resources
Content Type	Text
Resource Type	Article

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The Spatial–Spectral–Environmental Extraction Endmember Algorithm and Application in the MODIS Fractional Snow Cover Retrieval

Validation of SCA from MOD10A1 and MODSCAG

Mutation analysis of snow cover based on the MODIS remote sensing image data

Validation of MODIS snow cover images over Austria

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Improved subpixel monitoring of seasonal snow cover: A case study in the Alps

Accuracy Assessment of MODIS Fractional Snow Cover Product for Eastern Himalayan Catchment

An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data

Estimate of fractional snow cover using MODIS data

Reconstruction and validation of SCA from spectral mixture analysis

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