The estimation of sub-pixel NDVI time series based on down-scaling technique

Chunsen Zhang; Hui Li

doi:10.1117/12.901876

8 December 2011 The estimation of sub-pixel NDVI time series based on down-scaling technique

Chunsen Zhang, Hui Li

Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 800219 (2011) https://doi.org/10.1117/12.901876
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

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.

Citation Download Citation

Chunsen Zhang and Hui Li "The estimation of sub-pixel NDVI time series based on down-scaling technique", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800219 (8 December 2011); https://doi.org/10.1117/12.901876

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available