Title
Comparison and Analysis of Data Assimilation Algorithms for Predicting the Leaf Area Index of Crop Canopies
Abstract
Data assimilation as an approach for crop Leaf Area Index (LAI) estimation has been rapidly developed in the field of agricultural remote sensing. Many studies have attempted to integrate sequential remotely sensed observations in the dynamical operation of physical models, aiming to improve model performance of LAI estimation by using various data assimilation schemes. In this study, a new data a...
Year
DOI
Venue
2013
10.1109/JSTARS.2012.2208943
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Agriculture,Data assimilation,Biological system modeling,Data models,Algorithm design and analysis,Estimation,Remote sensing
Leaf area index,Physical model,Data analysis,Remote sensing,Algorithm,Mean squared error,Atmospheric radiative transfer codes,Normalized Difference Vegetation Index,Data assimilation,Mathematics,Free parameter
Journal
Volume
Issue
ISSN
6
1
1939-1404
Citations 
PageRank 
References 
8
0.88
6
Authors
9
Name
Order
Citations
PageRank
Yingying Dong11811.41
Jihua Wang219153.78
Cunjun Li3124.61
Gui-Jun Yang414833.61
qian wang580.88
feng liu680.88
Jinling Zhao7248.46
huifang wang880.88
Wenjiang Huang917951.84