The role of remote sensing in Climate Change Mitigation and Adaptation

SPOT 2001 NDVI SPOT 2001

Landsat Bands

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

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 SatelliteResolution#Spectral bandsRepeat time QuickBird20.6, 2.55tasked IKONOS21,453days OrbView31,5, day Landsat (TM,ETM+)15,30,607–814days IRS (LISS III)5,23,705 EOS(ASTER)15,30,901445days AVIRIS22426 day SPOT2.5,5,105tasked EOS(Hyperion)30220tasked EOS(MODIS)250,500, days NOAA (AVHRR) day

Spatial Coverage

Forest Eucalyptus

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 Landscape level Species level field data Quality 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 Integrated approach Scales Landscapes Regional processes Students/faculty trained in both remote sensing and ecology