Title
An Iterative BRDF/NDVI Inversion Algorithm Based on A Posteriori Variance Estimation of Observation Errors.
Abstract
Current bidirectional reflectance distribution function (BRDF) inversions using ordinary least squares (OLS) criterion can be easily contaminated by observations with residual cloud and undetected high aerosols, which leads to abrupt fluctuations in the normalized difference vegetation index (NDVI) time series. The OLS criterion assumes the noise has Gaussian distribution, which is often violated ...
Year
DOI
Venue
2016
10.1109/TGRS.2016.2585301
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Clouds,Aerosols,Estimation,Kernel,Vegetation mapping,Covariance matrices,Remote sensing
Bidirectional reflectance distribution function,Residual,Ordinary least squares,Remote sensing,A priori and a posteriori,Mean squared error,Algorithm,Normalized Difference Vegetation Index,Gaussian,Mathematics,Approximation error
Journal
Volume
Issue
ISSN
54
11
0196-2892
Citations 
PageRank 
References 
2
0.38
7
Authors
11
Name
Order
Citations
PageRank
Yelu Zeng16811.63
Jing Li2111.97
Qinhuo Liu328085.97
Alfredo R Huete430972.18
Baodong Xu56610.21
Gaofei Yin66113.33
Jing Zhao7579.49
Le Yang8102.32
Weiliang Fan9438.59
shengbiao wu1073.54
Kai Yan11317.78