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Near-Surface Sensor-Derived Phenology

  • Andrew D. RichardsonEmail author
  • Stephen Klosterman
  • Michael Toomey
Chapter

Abstract

“Near-surface” remote sensing provides a novel approach to phenological monitoring. Optical sensors mounted in relatively close proximity (typically 50 m or less) to the land surface can be used to quantify, at high temporal frequency, changes in the spectral properties of the surface associated with vegetation development and senescence. The scale of these measurements—intermediate between individual organisms and satellite pixels—is unique and advantageous for a variety of applications. In this chapter, we review and discuss a variety of approaches to near-surface remote sensing of phenology, including methods based on broad- and narrow-band radiometric sensors, and using commercially available digital cameras as inexpensive imaging sensors.

Keywords

Normalize Difference Vegetation Index Imaging Sensor Hyperspectral Imaging Enhance Vegetation Index Photochemical Reflectance Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We thank Oliver Sonnentag and Youngryel Ryu for assistance with processing the data used in Fig. 22.1, and Koen Hufkens for providing the code used to generate the time series shown in Figs. 22.2 and 22.4. A.D.R. acknowledges support from the National Science Foundation, through the Macrosystems Biology program, award EF-1065029; the Northeastern States Research Cooperative; and the US Geological Survey Status and Trends Program, the US National Park Service Inventory and Monitoring Program, and the USA National Phenology Network through grant number G10AP00129 from the United States Geological Survey. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or USGS.

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Copyright information

© Springer Science+Business Media B.V. 2013

Authors and Affiliations

  • Andrew D. Richardson
    • 1
    Email author
  • Stephen Klosterman
    • 1
  • Michael Toomey
    • 1
  1. 1.Department of Organismic and Evolutionary BiologyHarvard UniversityCambridgeUSA

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