The role of remote sensing in Climate Change

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The role of remote sensing in Climate Change

• Mitigation and Adaptation

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SPOT 2001
NDVI SPOT 2001
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Landsat Bands
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Power in Satellite Data
Complete spatial coverage of surface Consistent
manner Updated regularly Cost effective
Increasingly high spatial resolution Captures
spectral energy beyond Visible Light
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Remote Sensing System Resolutions

• Spectral - Energy
• Spatial - Pixel size
• Temporal - Repeat time
• Radiometric

• Cost vs Accuracy tradeoff
• Some areas will be more costly to monitor-
  clouds, hilly terrain, other drivers of
  deforestation.
• Need for cost effective solutions

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Satellites for Remote Sensing of the Environment
Satellite Resolution Spectral bands Repeat time
QuickBird2 QuickBird2 0.6, 2.5 5 tasked
IKONOS2 1,4 5 3days
OrbView3 1,5,1000 5 1 day
Landsat (TM,ETM) Landsat (TM,ETM) 15,30,60 78 14days
IRS (LISS III) IRS (LISS III) 5,23,70 5
EOS(ASTER) EOS(ASTER) 15,30,90 14 45days
AVIRIS 224 26 day
SPOT 2.5,5,10 5 tasked
EOS(Hyperion) EOS(Hyperion) 30 220 tasked
EOS(MODIS) EOS(MODIS) 250,500,1000 36 1-2days
NOAA (AVHRR) 1100 5 1 day
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Spatial Coverage
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Eucalyptus
Forest
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Remote Sensing plays a key role in climate change
research combined with ground
measurements Extrapolation of plot measurements
to the regional or national level
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Integrated approach
Quality field data Develop a method to link
species level data with MODIS/Landsat/SPOT image.
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SPOT 2001
NDVI SPOT 2001
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Landsat MSS TM ETM MODIS

• Landsat most widely used sensor for studies of
  the environment
• Both free, Easy to obtain
• 30m Resolution, 500m
• Landsat time series back to the 1970s

• Landsat 7 Spectral Bands
• Blue
• Green
• Red
• Near Infrared
• Mid Infrared1
• Mid Infrared 2
• Thermal

• Indices
• NDVI
• NDMI
• VI
• EVI
• Develop new
• indices/models

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Climate Change

• Integrated approach
• Scales
• Landscapes
• Regional processes
• Students/faculty trained in both remote sensing
  and ecology

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