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Vegetation monitoring for climate studies

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Vegetation parameters of interest in Climate Modelling ... NPP = annual sum of daily PSN. Appropriate RS instruments. optical data _at_ 1 km. AVHRR ... – PowerPoint PPT presentation

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Title: Vegetation monitoring for climate studies


1
Vegetation monitoring for climate studies
  • Mat Disney
  • Birkbeck School of Geography
  • (notes adapted from Dr. P. Lewis, UCL Geography)

2
Vegetation parameters of interest in Climate
Modelling 
  • Principally, those that affect transfers of
  • energy
  • components of greenhouse gases
  • influences on mankind

3
Vegetation parameters of interest in Climate
Modelling 
  • energy
  • shortwave radiation
  • longwave radiation
  • momentum transfer

4
Vegetation parameters of interest in Climate
Modelling 
  • components of greenhouse gases
  • CO2 - carbon cycling
  • photosynthesis, biomass burning
  • H20 - evapo-transpiration
  • (erosion of soil resources, wind/water)

5
Vegetation parameters of interest in Climate
Modelling 
  • also, influences on mankind
  • crops, fuel
  • ecosystems (biodiversity, natural habitats) soil
    erosion and hydrology, micro and meso-scale
    climate

6
Appropriate scales for monitoring
  • spatial
  • global land surface 150 x 106 km
  • 1km data sets 150 x 106 pixels
  • GCM can currently deal with 0.25o grids
  • temporal
  • depends on dynamics
  • 1 month sampling required e.g. for crops

7
parameters of interest
  • vegetation type (classification) (various)
  • vegetation amount (various)
  • primary production (C-fixation, food)
  • SW absorption (various)
  • temperature (growth limitation, water)
  • structure/height (radiation interception,
    roughness - momentum transfer)

8
explicitly deal here with
  • LAI/fAPAR
  • Leaf Area Index/fraction Absorbed
    Photsynthetically active radiation (vis.)
  • But other important parameters include
  • albedo
  • ratio of outgoing/incoming
  • PSN/NPP
  • PSN - daily net photosynthesis
  • NPP - Net primary productivity - ratio of Carbon
    uptake to that produced via transpiration. NPP
    annual sum of daily PSN.

9
Appropriate RS instruments
  • optical data _at_ 1 km
  • AVHRR
  • long-term dataset
  • poor calibration/broad wavebands
  • not designed for task
  • repeat multi-angular

10
AVHRR
Spectral Range Band Satellites
Satellites IFOV NOAA-6,8,10
NOAA-7,9,11,12,14 1 0.58 - 0.68 0.58
- 0.68 1.39 2 0.725 - 1.10 0.725 -
1.10 1.41 3 3.55 - 3.93 3.55 -
3.93 1.51 4 10.50 - 11.50 10.3 -
11.3 1.41 5 band 4 repeated 11.5 -
12.5 1.30 (?m)
(?m) (millirads.)
11
  • optical data _at_ 1 km
  • EOS MISR
  • multi-view angle (9)
  • 275m-1 km
  • VIS/NIR only

12
  • optical data _at_ 1 km
  • EOS MODIS
  • 250m-1km
  • fuller coverage of spectrum
  • repeat multi-angular

13
  • optical data _at_ 1 km
  • ENVISAT MERIS
  • 1 km
  • good spectral sampling VIS/NIR - 15 programmable
    bands between 390nm an 1040nm.
  • little multi-angular

14
future 
  • production of datasets (e.g. EOSDIS)
  • e.g. MODIS products
  • cost of large projects (big science') high
  • B7 EOS
  • little direct commercial' value at moderate
    resolution
  • data aimed at scientists ... policy    

15
future 
  • NASA ESA - shorter timeframe for development -
    smaller, faster, cheaper
  • can respond more quickly
  • scientific requirement
  • technology changes
  • involve scientists more (e.g. VCL)
  • cost less 

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