Paper Info
Title
Comparison of Five Slope Correction Methods for Leaf Area Index Estimation From Hemispherical Photography
Abstract
We compare five slope correction methods developed by Walter et al., Montes et al., Schleppi et al., España et al., and Gonsamo et al. (referred to as WAL, MON, SCH, ESP, and GON, respectively) using artificial fisheye pictures simulated by graphics software and a lookup table (LUT) retrieval method. The LUT is built by simulating the directional gap fraction as a function of leaf area index (LAI) and average leaf inclination angle (ALIA) using the Poisson law. LAI and ALIA estimates correspond to the case of the LUT that provides the lowest root-mean-square error between the observed gap fractions after slope correction and the simulated ones. Three LAI values (1.5, 3.5, and 5.5), four ALIA values (26.8°, 45°, 57.5°, and 63.2°), and three slope angles (0°, 20°, and 50°) constituted 36 samples of random scenes. ESP is recommended because its results are accurate and independent on the leaf angle distribution (LAD), while GON only performs well for spherical LAD. The three other methods present less good performances with underestimation or overestimation of LAI and/or ALIA depending on the LAD, and the recommended order for them is MON, SCH, and WAL.
Year
DOI
Venue
2015
10.1109/LGRS.2015.2440438
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Average leaf inclination angle (ALIA),digital hemispherical photography (DHP),leaf area index (LAI),slope correction,topographic mask
Leaf area index,Lookup table,Remote sensing,Photography,Software,Poisson distribution,Mathematics,Adaptive optics,Hemispherical photography,Leaf angle distribution
Journal
Volume
Issue
ISSN
PP
99
1545-598X
Citations 
PageRank 
References 
4
0.49
0
Authors
8
Name
Order
Citations
PageRank
Biao Cao1142.43
Yongming Du240.49
Jing Li340.82
Hua Li440.49
Li Li562.22
Yang Zhang652.20
Jie Zou740.49
Qinhuo Liu828085.97