Abstract
Leaf angle distribution (LAD) is one of the most important parameters used to describe the structure of horizontally homogeneous vegetation canopies such as field crops. LAD affects how incident photosynthetically active radiation is distributed on plant leaves, thus directly affecting plant productivity. Knowledge of LAD is also required for retrieval of other important biophysical variables from measurements of canopy radiation transmittance or spectral reflectance. Unfortunately, its determination is laborious and measured data is rarely available. In this study, we applied a recently developed method for determination of the inclination angles using leveled digital photography to the leaves of six cool-temperate crops: faba bean, narrow-leafed lupin, turnip rape, wheat, barley, and oat. The method, previously applied only to small and flat leaves of broadleaved trees and bushes, was extended to be applicable to the narrow and curved leaves of cereals. A reasonable match was found between the leaf angles determined by photographic measurements and the mean leaf tilt angles (MTA) measured using a LAI-2000 plant canopy analyzer for five out of the six species (R2=0.92). The error caused by assuming a spherical LAD, when calculating LAI from canopy transmittance measurements, varied between 0 and 1.5 LAI units, depending on species. Finally, we analyzed the correlation between photographically determined species-specific LADs and airborne imaging spectroscopy data acquired for the same species in a similar growth stage. The highest correlation between spectral reflectance factor and leaf mean tilt angle was found at a wavelength of 748nm (R=0.80). The high correlation between MTA and this red edge waveband can be useful for MTA determination from imaging spectroscopy.
| Original language | English |
|---|---|
| Pages (from-to) | 137-146 |
| Number of pages | 10 |
| Journal | Agricultural and Forest Meteorology |
| Volume | 184 |
| DOIs | |
| Publication status | Published - 15 Jan 2014 |
| MoE publication type | A1 Journal article-refereed |
Funding
The research was funded by China Scholarship Council, Centre for International Mobility (CIMO Finland), University of Helsinki Postdoctoral Funds , AISARES doctor program, Marjatta and Eino Kolli Foundation , the Research Foundation of University of Helsinki, Department of Agricultural Sciences of University of Helsinki , the Finnish Cultural Foundation, the MoniPalko project of the Ministry of Agriculture and Forestry of Finland , the EU FP7 project 245216 CP-FP ‘Legume Futures: Legume-supported cropping systems for Europe’ , the FP7-Marie Curie Actions program , and Estonian Science Foundation grants ERMOS32 and PUT232 . The authors acknowledge Piia Kekkonen, Jouko Närhi and Markku Tykkyläinen for invaluable technical assistance in the field plots.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
Keywords
- Digital camera
- Field crops
- Leaf angle distribution
- Spectral reflectance
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