Transcript Slide 1

The role of remote sensing in
Climate Change
Mitigation and Adaptation
SPOT 2001
NDVI SPOT 2001
Landsat Bands
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
Satellites for Remote
Sensing of the Environment
Satellite
QuickBird2
IKONOS2
OrbView3
Landsat (TM,ETM+)
IRS (LISS III)
EOS(ASTER)
AVIRIS
SPOT
EOS(Hyperion)
EOS(MODIS)
NOAA
(AVHRR)
Resolution
0.6, 2.5
1,4
1,5,1000
15,30,60
5,23,70
15,30,90
#Spectral bands Repeat time
2.5,5,10
30
250,500,1000
5
5
5
7–8
5
14
224
5
220
36
tasked
3days
1 day
14days
45days
26 day
tasked
tasked
1-2days
1100
5
1 day
Spatial Coverage
Eucaly
Forest
Remote Sensing plays a key role in
climate change research
–combined with ground
measurements
Extrapolation of plot measurements
to the regional or national level
Integrated approach
Quality field data
Landscape level
13 15 19
17
27
20 26 34
2 90 m 22
Meso
level
- 225m
Meso
level
– 302m-72900m
Species level field data
Develop a method to link
species level data with
MODIS/Landsat/SPOT
image.
SPOT 2001
NDVI SPOT 2001
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 1970’s
Landsat 7 Spectral Bands
• Blue
• Green
• Red
• Near Infrared
• Mid Infrared1
• Mid Infrared 2
• Thermal
Indices
•NDVI
•NDMI
•VI
• EVI
• Develop new
indices/models
Climate Change
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•
•
•
Integrated approach
Scales
Landscapes
Regional processes
• Students/faculty trained in
both remote sensing and
ecology