Title
Combined Use of Airborne LiDAR and Satellite GF-1 Data to Estimate Leaf Area Index, Height, and Aboveground Biomass of Maize During Peak Growing Season
Abstract
A fast and efficient estimation of crop biophysical parameters is significantly important in many agricultural, ecological, and meteorological applications. This study investigated the potential of airborne LiDAR and satellite GF-1 data for estimating three biophysical parameters of maize: 1) leaf area index (LAI); 2) average canopy height (Hcanopy); and 3) aboveground biomass (AGB) during the pea...
Year
DOI
Venue
2015
10.1109/JSTARS.2015.2496358
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Laser radar,Agriculture,Remote sensing,Measurement,Vegetation mapping,Satellites,Estimation
Leaf area index,Satellite,Growing season,Terrain,Remote sensing,Mean squared error,Lidar,Normalized Difference Vegetation Index,Mathematics,Canopy
Journal
Volume
Issue
ISSN
8
9
1939-1404
Citations 
PageRank 
References 
3
0.45
9
Authors
8
Name
Order
Citations
PageRank
wang li1468.53
Zheng Niu214422.34
cheng wang3339.05
Wenjiang Huang417951.84
Hanyue Chen541.55
shuai gao683.64
Dong Li7265.57
shakir muhammad880.94