In this paper, based on the theory of down-scaling, we propose the methods for linear mixed model disaggregate mixed pixels in coarse resolution images. Exploiting information about within mixed pixel each component fractional cover derived from high spatial resolution classification map, Sub-pixel reflectance for the different land-cover classes are calculated by solving a linear system of equations for each pixel of a coarse resolution image and producing the subpixel level NDVI time series curve of different component. Results showed that application of the algorithm provided good estimates of sub-pixel NDVI time series even for poorly represented land-cover classes. The main advantage of the proposed technique is that could analysis the land-use and vegetation biomass change better.

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800219 (8 December 2011);

Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)