Estimating light interception in tree crops with digital images of canopy shadow

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• 作者：Jose L. Zarate-Valdez ; Samuel Metcalf ; William Stewart…
• 关键词：Light interception ; Crop cover ; Canopy shadow ; Digital imaging
• 刊名：Precision Agriculture
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：16
• 期：4
• 页码：425-440
• 全文大小：1,944 KB
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• 作者单位：Jose L. Zarate-Valdez (1) (2) (3)
  Samuel Metcalf (2)
  William Stewart (2)
  Susan L. Ustin (3)
  Bruce Lampinen (2)
  
  1. Centro Regional Universitario del Noroeste, Universidad Autonoma Chapingo, Colima 163 Norte, Ciudad Obregon, Sonora, Mexico
  2. Department of Plant Sciences, University of California, Davis, CA, 95616, USA
  3. Center for Spatial Technologies and Remote Sensing (CSTARS), Department of Land, Air, and Water Resources, University of California, Davis, CA, 95616, USA
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Soil Science and Conservation
  Agriculture
  Meteorology and Climatology
  Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
  Remote Sensing and Photogrammetry
  
• 出版者：Springer Netherlands
• ISSN：1573-1618

文摘

Canopy light interception (LI) is an important variable related to evapotranspiration, photosynthesis, primary productivity and yield in natural and managed vegetation, and the development of simple, reliable methods for its estimation is critical for research and practical purposes. This paper proposes a novel digital photographic technique for estimating canopy light interception based on the shadow projected by trees on the ground surface. A total of 607 pictures taken from 20 different walnut and almond orchards across California, USA, and with canopy covers ranging from 5 to 98?% were processed to derive canopy shadow fraction and compared with LI recorded at the same time and location from a mobile platform of ceptometers, the mobile light bar (MLB), which systematically collected data as it is moved under the trees. Light interception values obtained with the photographic technique were highly correlated and very similar to those of the MLB (R2?=?0.95).The contribution of MLB sampling error and other factors that lead to differences in light interception values between the two methods was analyzed and discussed. The image acquisition and processing in this new technique does not require special or expensive equipment, software or training and can be easily adopted by researchers and farmers, and the generated information can be combined with satellite imagery to extend to the orchard and regional scales. The advantages and limitations of the proposed technique are discussed along with suggestions for further improvements and automation which could lead to more accurate results and wider application for research and crop management purposes.