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Continual Compositing of NDVI MODIS Products for

Continual Compositing of NDVI MODIS Products for. High Temporal Frequency Vegetation Monitoring. Theresa R. Watson, Richard P. Watson, Louis A. Scuderi, Enrique Monta ñ o, & Crystal M. Krause. International EOS/NPP Direct Readout Meeting 2005 Benevento, Italy * October 3-6, 2005.

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Continual Compositing of NDVI MODIS Products for

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  1. Continual Compositing of NDVI MODIS Products for High Temporal Frequency Vegetation Monitoring Theresa R. Watson, Richard P. Watson, Louis A. Scuderi, Enrique Montaño, & Crystal M. Krause International EOS/NPP Direct Readout Meeting 2005Benevento, Italy * October 3-6, 2005

  2. Overview • CREATE • Current Vegetation Products • Need for local products • Using Continual Daily Products • Projects • Future Approaches

  3. CREATECenter for Rapid Environmental Assessment& Terrain Evaluation • The University of New Mexico,Albuquerque, NM, USA • Direct Broadcast Center with • 1- 4.5m X-Band Antenna • 1- 1.5m L-Band Antenna • 5-Node Processing Cluster • 17.5 TeraBytes On-line Storage

  4. Monitoring Vegetation on a Finer Temporal Scale • Seasonality • Green-up, Senescence • Local Precipitation Events • Drought Conditions • Disease Monitoring • Large Scale Death (Climate Change)

  5. Monitoring Vegetation on a Finer Temporal Scale • Seasonality • Green-up, Senescence • Agriculture

  6. Monitoring Vegetation on a Finer Temporal Scale • Local Precipitation Events in Semi-Arid Lands • Drought Conditions

  7. Monitoring Vegetation on a Finer Temporal Scale • Mortality, Large-Scale Die Off • Disease Monitoring

  8. Monitoring Vegetation on a Finer Temporal Scale • Mortality, Large-Scale Die Off • Disease Monitoring

  9. Monitoring Vegetation on a Finer Temporal Scale • Mortality, Large-Scale Die Off • Disease Monitoring

  10. Monitoring Vegetation on a Finer Temporal Scale • Mortality, Large-Scale Die Off • Disease Monitoring

  11. Monitoring Vegetation on a Finer Temporal Scale • Mortality, Large-Scale Die Off • Disease Monitoring

  12. Current NDVI Products • DAAC 16 Day NDVI • DB IMAPP Daily NDVI • With or Without Cloudmask • DB DAAC Daily NDVI • With or Without Cloudmask

  13. Current Products Insufficient for Finer Temporal Scale Research & Application • DAAC 16 Day NDVI • Insufficient for Finer Temporal Scale • Daily NDVI • Cloud Problems • Angle Problems (BRDF), Edge factors

  14. Study of Arid and Semi-Arid Lands • Arid and Semi-Arid lands compromise 47% of Land Surface • Grazing occurs on 25% of land surface

  15. Study of Arid and Semi-Arid Lands NEW MEXICO • 9-10 inches of rain per year • 75-80% Sunshine

  16. Continual NDVI Products Running NDVI Products Max Values Mean Values 16-Day 8-Day 5-Day 4-Day

  17. Static NDVI • 16-Day Composite NDVI

  18. Running NDVI

  19. Study Areas • Agricultural • San Luis Valley, CO, USA • Semi-Desert Region • Sevilleta Wildlife Refuge, LTER Project, NM, USA • Open Grassland • BLM grazing lands - Eastern New Mexico, NM, USA

  20. San Luis Valley, CO One of the largest high desert valleys in the world, lying at an altitude of over 7,000 feet, it is approximately 125 miles long and over 65 miles wide.

  21. San Luis Valley, CO

  22. San Luis Valley, CO Agriculture • Potatoes • Beer Barley • Alfalfa • Lettuce • Carrots

  23. Sevilleta Wildlife Area • Long Term Ecological Research Station • Semi-arid grassland/desert

  24. Sevilleta Wildlife Area

  25. Grassland Counties of New Mexico

  26. Comparison of Four-Day Running NDVI to DAAC 16-Day NDVI • 16-Day period over Precipitation Event in June 2005

  27. Comparison of Four-Day Running NDVI to DAAC 16-Day NDVI • 16-Day period over Precipitation Event in June 2005

  28. Comparison of Four-Day Running NDVI to DAAC 16-Day NDVI • 16-Day period over Precipitation Event in June 2005

  29. Future Research • Comparison of 8-, 5-, and 4-day Running Composites • Incorporation of Various Cloud Masks • Incorporation of BRDF • Longer-Term comparisons, Multiple Events

  30. Thank you

  31. Cloud/NDVI Threshold

  32. Daily Mean vs. Running 4-Day Mean

  33. Daily Mean vs. Running 4-Day Mean

  34. Daily Mean vs. Running 4-Day Mean

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