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Detecting foliar nutrient
status from the sky:
Ground truthing NEON
spectra in MELNHE plots
Marissa Gabriel
Alexander Young, Ruth Yanai
Significance
Match individual
trees to their
spectral properties
Correlate foliar
nutrition remotely
Remote Sensing
Extent of
NEON Flight
Campaign
C2
C4
C9
C6
C7 C8
C3
C1
C5
Hyperspectral
Intensity of reflectance is affected
by chemical composition of
materials
Visible to Shortwave Infrared Imaging
Spectrometer
Captures reflectance of wavelengths
Vegetation Index
Calculated from the reflectance values
of multiple wavelengths for each
spatial unit
Could be correlated with foliar
chemistry associated with nutrient
addition
530 nm 570 nm
Photochemical Reflective Index (PRI)
Photosynthetic light
use efficiency
Objective
Can differences induced
be detected remotely?
Identify specific tree
crowns
Match with spectral
profile
● Obstructed view of
canopy
● Tree stem location not
indicative of crown
position
● Multiple stems
clumped
● Fallen or dead
● Inaccurate stake
positions
Challenges
Stem Map Aerial Image
Species
Ash
Basswood
Beech
Hemlock
Red maple
Sugar maple
Yellow birch
Stem Map Plotted Crowns
Aerial Image PRI
PRI vs Treatment
Map rest of
stands
Use full spectral
profile
Future Work

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HB 2018-Detection foliar nutrient status from the sky

Editor's Notes

  1. Fix extent map
  2. Show areal view of each
  3. 0.01