TY  - JOUR
AU  - Zhang, Ying
AU  - Huang, Xiaodong
AU  - Hao, Xiaohua
AU  - Wang, Jie
AU  - Wang, Wei
AU  - Liang, Tiangang
PY  - 2014
DA  - 2014//
TI  - Fractional snow-cover mapping using an improved endmember extraction algorithm
JO  - Journal of Applied Remote Sensing
VL  - 8
IS  - 1
KW  - N-FINDR;orthogonal subspace projection;spectral unmixing algorithm;fully constrained least squares
AB  - We describe and validate an improved endmember extraction method to improve the fractional snow-cover mapping based on the algorithm for fast autonomous spectral endmember determination (N-FINDR) maximizing volume iteration algorithm and orthogonal subspace projection theory. A spectral library time series is first established by choosing the expected spectra information using prior knowledge, and the fractional snow cover (FSC) is then retrieved by a fully constrained least squares linear spectral mixture analysis. The retrieved fractional snow-cover products are validated by the FSC derived from Landsat imagery. Our results indicate that the improved algorithm can obtain the endmember information accurately, and the retrieved FSC has better accuracy than the MODIS standard fractional snow-cover product (MOD10A1).
ID  - Zhang2014
ER  -