Turfgrass spectral reflectance: simulating satellite monitoring of spectral signatures of main C3 and C4 species

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• 作者：Lisa Caturegli ; Filippo Lulli ; Lara Foschi ; Lorenzo Guglielminetti…
• 关键词：Cynodon ; Festuca ; Lolium ; Poa ; Vegetation indices ; Zoysia
• 刊名：Precision Agriculture
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：16
• 期：3
• 页码：297-310
• 全文大小：383 KB
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• 作者单位：Lisa Caturegli (1)
  Filippo Lulli (2)
  Lara Foschi (1)
  Lorenzo Guglielminetti (1)
  Enrico Bonari (3)
  Marco Volterrani (1)
  
  1. Department of Agriculture, Food and Environment (DAFE), University of Pisa, Via del Borghetto n. 80, 56124, Pisa, Italy
  2. Turf Europe R&D, Via Malasoma n. 24, 56121, Pisa, Italy
  3. Sant’Anna School of Advanced Studies, Piazza Martiri della Libertà n. 33, 56127, Pisa, Italy
  
• 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

In recent years, within the European Union several legislative, monitoring and coordinating actions have been undertaken to encourage sustainable use of resources, reduction in the use of chemicals and improvement of the urban environment. In this respect, two concepts that are strictly related to most of the aspects above are: “precision agriculture-and “precision conservation-and more specifically “precision turfgrass management.-Optical sensing has become a crucial part of precision turfgrass management and spectral reflectance in particular has been an active area of research for many years. However, while turfgrass status evaluation by proximity-sensed spectral reflectance appears to be an established and reliable practice, much more could be achieved in terms of monitoring of large turfgrass areas through remote sensing, and in particular through satellite imagery. This paper reports the results of a trial attempting to evaluate the spectral signatures of several turfgrass species and cultivars, for future use in turfgrass satellite monitoring. Our experimental study focused on 20 turfgrass species/varieties including perennial ryegrasses, tall fescues, kentucky bluegrasses, bermudagrass ecotypes, seeded commercial bermudagrasses, vegetatively propagated bermudagrasses, Zoysia japonica and non-japonica zoysiagrasses. Various biological and agronomical parameters were studied and turfgrass spectral reflectance for all entries was gathered. Vegetation indices were calculated by simulating the available wavelengths deriving from World View 2 satellite imagery. Results showed that within the same species selected vegetation indices are often able to discriminate between different varieties that have been established and maintained with identical agronomical practices.