NDLI: Validation of SCA from MOD10A1 and MODSCAG

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	Over the past 20 years, many algorithms for mapping snow have been developed to map snow in the binary sense and in the fractional sense from optical multi-spectral imagers and imaging spectrometers. These algorithms include band thresholds, band ratios, normalized band differences, empirical relationships with normalized band differences, relative spectral mixture analysis, and multiple endmember spectral mixture analysis. With the introduction of NASA Earth Observation System and its flagship instrument Moderate Resolution Imaging Spectroradiometer (MODIS) came the capacity to better characterize snow cover properties through improved algorithms. Unlike previous instrumentation, the surface reflectance bands of MODIS sample the spectrum of snow-covered surfaces in those wavelengths where the greatest variation occurs and without the saturation in visible wavelengths. 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, we analysis the precise of MOD10A1 and MODSCAG based on the ground observation. The result show that 1)the MOD10A1 is mainly affected by cloud and the precise is 90.43% and 72.04% in clear condition and all condition respectly;2)the relationship between snow depth and the precise of both MOD10A1 and MODSCAG is evidently and the precise is 100% when the snow depth is more than 0.5m ;3)the precise is slightly affect by vegetation cover type at the given condition which have deep snow.
Starting Page	2795
Ending Page	2798
File Size	370827
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5964895
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	Algorithm design and analysis MOD10A1 Surface waves Snow Vegetation mapping Snow cover precision MODSCAG MODIS Remote sensing Surface treatment
Content Type	Text
Resource Type	Article

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