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Salinity and Sediment Contaminants and the Reflectance

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Title: Salinity and Sediment Contaminants and the Reflectance


1
Salinity and Sediment Contaminants and the
Reflectance Green-upof Phragmites australis
Ildiko Pechmann Francisco Artigas
New Jersey Meadowlands Commission Meadowlands
Research Institute
9th Wetlands Watersheds Workshop Atlantic City,
NJ Oct. 23-26 2006
2
Project Overview
  • Background
  • Relationship between pigment concentration and
    light reflectance from leaves
  • Light reflectance from leaves is modulated by
    stressor factors

3
  • Hypothesis
  • The light reflected from plants can be used as a
    surrogate variable to determine salinity and
    metal concentration in the sediments.

4
Objectives
Overall
- Find if metal toxicity alters or modifies
chlorophyll content in a way that plants under
metal stress show differences in reflectance
Specific
- Measure salinity and metals at seven distinct
study sites
- Measure metal uptake by leaves over the growing
season
- Measure light reflectance from leaves and
canopies over the growing season
- Find if there is a relationship between metal
content in leaves and light reflectance
5
Field Work
  • Sampling (May 2 July 20)
  • Leaf samples
  • Sediment samples
  • Leaf reflectance (field data)
  • Canopy reflectance (field data)

DA,DB
BA,BB
CT
KP, KG
6
Parameters measured
Test plant Phragmites australis
  • Leaves
  • metal concentration (Cd, Cr, Cu, Fe, Hg, Ni, Pb,
    Zn)
  • reflectance
  • Canopy
  • reflectance
  • Sediment
  • metal concentration (Cd, Cr, Cu, Fe, Hg, Ni, Pb,
    Zn)
  • Salinity ppt

7
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8
Contaminants in the sediment in May and August
9
Metal-metal relationship in the sediment
Cr, Cd, Hg and Zn tend to coexist in the sediment
10
Calculating Toxic Units
- Metal concentrations in sediment were
transformed in toxic units (TU) according to the
E-RM (Effect Range Median) values (LongMorgan,
1990)
- Toxicity ranged between 0 and 80 TU depending
on how much the metal concentrations exceeded the
E-RM criteria.
- Summary of TUs were calculated for each
sampling site and related to reflectance
parameters
11
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12
Spectral data analysis
Vegetation Indices
-NDVI ?NIR ?RED ?NIR ?RED
-Greenness Ratio ?GREEN ?RED
-Red Edge Inflection Point (REIP)
13
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14
Metal in the leaves
15
Leaf Red Edge Inflection Point versus sediment
toxicity
16
Canopy Red Edge Inflection Point versus metal
toxicity
17
Conclusion
  • The most saline site CT - showed a delayed
    green-up
  • The most contaminated sites DA DB - showed an
    early flowering
  • Our results indicated that there were no changes
    in the leaf reflectance due to the metal toxicity
  • However the canopy reflectance measurements
    showed relationship with sediment toxicity.

18
Future Research
  • Continue to use remote sensors to classify stress
    levels
  • in Phragmites communities.
  • Focus on differences in light reflectance due to
    the
  • plant architecture and canopy texture as they
    relate
  • to bio-geological conditions in the sediment.
  • Also use remote sensors to look at phenology
    (i.e.
  • flowering and green-up timing) to identify
  • Phragmites stands under heavy metal stress

19
Acknowledgements
  • The Meadowlands Environmental Research Institute
  • Dr. Jin Young Shin
  • Yefim Levinsky
  • So Yeon

20
Acknowledgements
  • The Meadowlands Environmental Research Institute
  • Dr. Jin Young Shin
  • Yefim Levinsky
  • So Yeon
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