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Landsat: Key Climate Sensor for Earth's Changing Environment

Landsat is crucial for monitoring land use, carbon cycle, cryosphere changes, and more to address climate change. Learn how Landsat data helps in understanding and combating planetary alterations due to rising CO2 levels since 1740. Enhance awareness using Landsat's valuable imagery and spectral data.

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Landsat: Key Climate Sensor for Earth's Changing Environment

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  1. Landsat – A key climate sensor Compton Tucker NASA/Goddard Space Flight Center Greenbelt, Maryland and Climate Change Science Program Washington DC

  2. Houston, We Have a Problem… We are altering our planet’s climate

  3. 385 ppm now Atmospheric CO2 since 1740 Different d CO2 slopes d time reflect techno-economic conditions

  4. What? Me worry?

  5. What do we need to be rescued from?

  6. Landsat – A key climate sensor Absolutely crucial land climate sensors: Landsat 1972 – now AVHRR-MODIS-VIIRS continuum 1981 -- now Lidar for the 3rd Dimension (DESDnyI) Why? Land use, land cover change Carbon cycle land Cryosphere, etc.

  7. Landsat – A key climate sensor Why? 30 m spatial resolution close-to-perfect match to surface variability (Townshend and Justice 1988) Spectral bands are well situated Repeat cycle OK Excellent data system

  8. Tropical Glaciers of Peru & Bolivia: Landsat data from 1972 to 2008 Compton Tucker, Tim Killeen, and Dan Slayback NASA/GSFC Code 610 & Conservation International 90% of world’s tropical glaciers are in Peru (70%) and Bolivia (20%) 5500-6500+ m elevations, summer growth/winter recession

  9. Study Area and Landsat Scenes Used (WRS-2)

  10. Cordillera Blanca Peru 2006

  11. Cordillera Blanca22-Jul-2006 / TM5 / 543

  12. Landsat-4/5 TM Data Used

  13. Tropical Glaciers of Peru & Bolivia:1982-1986: 2,854 km22006-2007: 2,150 km2 90% of world’s tropical glaciers are in Peru (70%) and Bolivia (20%) 5500-6500+ m elevations, summer growth/winter recession

  14. How to enhance Landsat • Landsat exploits the spatial & spectral domains • 30 m spatial resolution excellent • Excellent spectral band selection • Exploit the time domain (e.g. AVHRR, MODIS, Seawifs, etc.) but at 30 m spatial resolution with TM/ETM spectral bands • Wider field of view, 4-5 day repeat cycle • Build multiple instruments (e.g. Landsat-5’s TM) = Continuity!!

  15. Tropical Air Temperature

  16. Cloud cover variations 1978 to 2004

  17. Cloud cover variations 1978 to 2004

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