scholarly journals A comparison of optical and direct methods for monitoring the seasonal dynamics of leaf area index in deciduous forests

Silva Fennica ◽  
2001 ◽  
Vol 35 (4) ◽  
Author(s):  
Sylvie Mussche ◽  
Roeland Samson ◽  
Lieven Nachtergale ◽  
An De Schrijver ◽  
Raoul Lemeur ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Seasonal Dynamics ◽  
Direct Methods ◽  
Deciduous Forests ◽  
Area Index

scholarly journals Spatial variation and seasonal dynamics of leaf-area index in the arctic tundra-implications for linking ground observations and satellite images

2017 ◽  
Vol 12 (9) ◽  
pp. 095002 ◽  
Author(s):  
Sari Juutinen ◽  
Tarmo Virtanen ◽  
Vladimir Kondratyev ◽  
Tuomas Laurila ◽  
Maiju Linkosalmi ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Seasonal Dynamics ◽  
Satellite Images ◽  
Arctic Tundra ◽  
The Arctic ◽  
Area Index

Seasonal dynamics of leaf area index using different methods in the Korean pine plantation

2014 ◽  
Vol 34 (8) ◽  
Author(s):  
王宝琦 WANG Baoqi ◽  
刘志理 LIU Zhili ◽  
戚玉娇 QI Yujiao ◽  
金光泽 JIN Guangze
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Seasonal Dynamics ◽  
Korean Pine ◽  
Pine Plantation ◽  
Area Index ◽  
Korean Pine Plantation

Estimation of leaf area index with the Li-Cor LAI 2000 in deciduous forests

1998 ◽  
Vol 105 (1-3) ◽  
pp. 55-65 ◽  
Author(s):  
Andrea Cutini ◽  
Giorgio Matteucci ◽  
Giuseppe Scarascia Mugnozza
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Deciduous Forests ◽  
Area Index

scholarly journals Study of a Non-destructive Method for Estimating the Leaf Area Index in Vegetable Crops Using Digital Images

HortScience ◽  
2010 ◽  
Vol 45 (10) ◽  
pp. 1459-1463 ◽  
Author(s):  
Carlos Campillo ◽  
M.I. García ◽  
C. Daza ◽  
M.H. Prieto
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Digital Images ◽  
Direct Methods ◽  
Vegetable Crops ◽  
Simple Method ◽  
Area Index ◽  
Skilled Operator ◽  
Significant Area ◽  
Non Destructive

One estimate of a crop's ability to capture light energy is the leaf area index (LAI), which is defined as the proportion of leaf area per unit of land area. Direct methods of estimation involve determining the LAI in a significant area of cultivation and individually measuring the leaf surface, which is often tedious. The objective of this study was to develop a cheap and simple method for determining LAI based on the percentage of groundcover (PGC) measured in two vegetable crops with notable differences in leaf type and plant architecture using digital images obtained with a commercial camera and applying open-source software. The PGC values obtained from digital image analysis in cauliflower and tomato crops and the measurements of LAI obtained by destructive sampling (measured with a planimeter) allowed us to obtain a relationship between two variables (r2 > 0.88). In all cases, the extinction coefficients were obtained from comparisons of LAI and PGC with values ranging between 0.75 and 0.85 for processing tomato and 0.60 and 0.70 for cauliflower. The method used allows non-destructive estimations of LAI that are comparable with other more expensive indirect methods that require a skilled operator.

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