Remote sensing of canopy chemistry.

@article{Ustin2013RemoteSO,
  title={Remote sensing of canopy chemistry.},
  author={Susan L. Ustin},
  journal={Proceedings of the National Academy of Sciences of the United States of America},
  year={2013},
  volume={110 3},
  pages={
          804-5
        }
}
O ne of the major uncertainties in predicting climate change comes from a full accounting of carbon-cycle feedbacks, which roughly double physical feedbacks (1, 2). Most of this uncertainty is a result of the many pathways and time scales at which ecosystems interact with the climate system and how these will respond to change (3). The relationship between leaf nitrogen and the carbon cycle is key to many ecosystem processes because photosynthesis provides the energy and carboncycle molecules… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 18 CITATIONS

Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms

Peng Fu, Katherine Meacham-Hensold, Kaiyu Guan, Carl J. Bernacchi
  • Front. Plant Sci.
  • 2019
VIEW 2 EXCERPTS
CITES METHODS & BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 42 REFERENCES

Hyperspectral remote sensing of foliar nitrogen content.

  • Proceedings of the National Academy of Sciences of the United States of America
  • 2013
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Key canopy traits drive forest productivity.

  • Proceedings. Biological sciences
  • 2012
VIEW 1 EXCERPT

PROSPECT + SAIL: A review of use for vegetation characterization

S Jacquemoud
  • Remote Sens Environ 113(S):S56–S66
  • 2009
VIEW 1 EXCERPT

A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems

ME Martin
  • Remote Sens Environ 112(9):3511–3519
  • 2008
VIEW 1 EXCERPT

Similar Papers

Loading similar papers…