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Rick Allen and Magali Garcia, UI Tony Morse and Bill Kramber, IDWR

Status on Monthly and Annual Evapotranspiration Maps for the Eastern Snake Plain Aquifer – year 2006. Rick Allen and Magali Garcia, UI Tony Morse and Bill Kramber, IDWR. Background.

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Rick Allen and Magali Garcia, UI Tony Morse and Bill Kramber, IDWR

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  1. Status on Monthly and Annual Evapotranspiration Maps for the Eastern Snake Plain Aquifer – year 2006 Rick Allen and Magali Garcia, UI Tony Morse and Bill Kramber, IDWR

  2. Background • UI and IDWR has successfully produced METRIC-based Evapotranspiration (ET) maps to ESPA for 2000, parts of 2002 and parts of 2003 • 2002 and 2006 are in progress • monthly and seasonal maps for actual ET • 30 m x 30 m grid scale.

  3. Background • METRIC ET maps are a valuable component of ESPA ground-water model calibration: • actual magnitudes of ET from the ESPA • (used to calibrate Kc ETr methods) • spatial and time distribution of ET from the ESPA • recharge incident to canal-supplied irrigation projects on the ESPA.

  4. Status for 2007-2008 • Produce ET monthly and seasonal ET maps for the ESPA for • Year 2006 (UI-Kimberly) • Year 2002 (IDWR) • Coverage: All of the ESPA • Path 39 (two rows from Utah to MT) • Path 40 (two rows from Utah to MT)

  5. 2006 Path 39 Path 40

  6. Purpose • support water consumption monitoring work by IDWR • support estimation of recharge and depletion for ESPA ground-water model calibration and operation • document ET before reductions from CREP set aside and other mitigation activities • document ET for water leasing/buy-outs • refine current crop coefficient methods and curves

  7. DATES OF 2006 IMAGES (L5)

  8. QA/QC’d Weather Stations Salmon (RAWS) Leadore (RAWS) Ashton Monteview Rexburg Arco(RAWS) Aberdeen Picabo Rupert Kimberly (TF) Path 40 Path 39

  9. Samples of Initial Results – 2006 Path 39

  10. Status of Thermal on L8: • May 5, 2008 (yesterday) • Letter signed by 12 US Senators (incl. Crapo) to Senate Appropriations Committee: • (Projected launch date of ‘Landsat 8’: 2011-12)

  11. Future: Free Landsat Images from USGS-EROS DataAvailable over the Internet Landsat 7 – all new global acquisitions-July 2008 Landsat 7 – all data-September 2008 Landsat 5 – all TM data-December 2008 Landsat 4 – all TM data-January 2009 Landsat 1-5 – all MSS data-January 2009 • Good news:Terrain-corrected • Bad news: Resampled using Cubic Convolution (instead of Nearest Neighbor) • (120 m thermal pixels of L5 may not be able to be sharpened, since they can not be identified)

  12. Potential METRIC Processing (both paths) • 1984 - too sparse 1985 - too sparse - could be used for NDVI assessment of irrig. areas 1986 - candidate for METRIC for both paths 1987 - not as populated as 1986, but possible for METRIC 1988 - no April-May for METRIC on path 40 1989 - no Sept-Oct for METRIC on path 40, poor on path 39 1990 - possible METRIC on 40, not on 39 1991 - no 1992 - possible METRIC for 40 and 39 1993 - possible for METRIC, no April-May on 39 1994 - no May-June for METRIC path 40 1995 - no 1996 - yes for METRIC on both paths 1997 - yes, iffy METRIC for June-July on 39 1998 - no May for METRIC on 40 and 39 1999 - no for METRIC in spring2000 - yes (METRIC DONE) 2001 - yes for METRIC on both paths 2002 - yes (METRIC in Progress)2003 - iffy on for METRIC for both paths (DONE for path 40 through August (no images after that)) 2004 - yes for METRIC on both paths 2005 - iffy for METRIC 2006 - yes (METRIC in Progress)2007 – possible, but challenging for METRIC on path 40

  13. Beyond METRIC • Develop Vegetation Index based ET • high resolution using • Aster, EO-1, SPOT, IRS, CBERS • moderate resolution using MODIS (250 m) • Requirements • Crop Classification of Landsat images • METRIC ET maps for a series of years

  14. Establish Kc vs. Veg. Index

  15. Assess accuracies ‘actual’ ET observed from METRIC map vs. ET estimated using NDVI relationship

  16. Sampling ET from fields

  17. Refinement of current Kc

  18. Current work • Sharpening Landsat 5 ET images • ET by METRIC using MODIS • (finessing the gorilla)

  19. Sharpening of 120 m surface temperature (Ts) of Landsat 5 to 30 m using NDVI • trained using Ts for wet/cold (high NDVI) and hot/dry (low NDVI) extremes • applied with no net bias to original 120 m Ts • internal biases are apportioned according to NDVI and limits. Normalized Difference Vegetation Index (NDVI) at 30 m METRIC ET map at 120 m

  20. Landsat 5 (09/16/2000) Southern Idaho, path 39 row 40 False color with overlay of thermal polygons having common Temperature

  21. Landsat 5 (09/16/2000) Southern Idaho, path 39 row 40 Thermal polygons having common Temperature False Color Composite

  22. Landsat 5 (09/16/2000) Southern Idaho, path 39 row 40 NDVI False color Ts orig. Ts Sharpened

  23. Landsat 5 Albacete, Spain, 07/15/2003 NDVI Ts Orig. Ts after sharpening

  24. Landsat 5 Albacete, Spain, 07/15/2003 ET (as Kc) before sharpening ET (as Kc) after sharpening

  25. Landsat 5 Albacete, Spain, 07/15/2003 ET (as Kc) before sharpening ET (as Kc) after sharpening

  26. MODIS, the Gorilla

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