1. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Evaluating the Integration of a Virtual ET Sensor into AnnGNPS Model Rapid Prototyping Capability Project Dath Mita Lance Yarbrough Henrique Momm [The University of Mississippi] Collaborators Ronald Bingner (Ron) [USDA-ARS National Sedimentation Lab] Robert Ryan [SSAI-John C. Stennis Space Center]

2. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Objectives  To provide a quantitative evaluation of the relationship between the potential evapotranspiration [ET P ], Vegetation Index VI [MODIS data], and Land Surface Temperature LST [TRMM data]  To develop and evaluate a Virtual ET Sensor [VETS] model for estimating ET P using VI and LST data  To evaluate the possibility of applying VETS model ET P estimates in AnnAGNPS 1

3. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 AnnAGNPS [Annualized Agricultural Nonpoint Source Pollution Model]  AnnAGNPS is a distributed, continuous simulation watershed-scale program [developed by USDA]  Simulates point and nonpoint source [daily] quantities of:  surface water,  sediment,  nutrients, and  pesticides  The model output is expressed on an event basis for selected stream reaches and as source accounting [contribution to outlet]  The model can be used to evaluate Best Management Practices [BMPs]. 2

4. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 AnnAGNPS: Key Processes  Climate – Climate data are generated using GEM and Complete Climate  Hydrology – Daily soil moisture balance  Runoff – SCS curve number  Subsurface flow – lateral subsurface flow using Darcy’s equation or tile drain flow  Rill and sheet erosion – RUSLE  Sediment delivery – HUSLE  Chemical routing – dissolved or adsorbed by mass balance approach  Potential evapotranspiration [ET]– Penman equation 3

5. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Project Overview  Current AnnAGNPS ET input process:  ET actual is derived as a function of ET potential and Soil moisture content  ET potential is based on PENMAN equation  Long process requiring several climate data inputs [wind, temperature, precip etc]  Limited ground weather stations limited and generalized watershed ET estimates  We propose to estimate ET potential using a Virtual ET Sensor [VETS] based on input data from MODIS and TRMM satellites 4

6. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Project Overview (cont..)  Decision Support System enhancement through  Replacement of PENMAN equation process with VETS model  Providing alternative method for derivation of ET potential  Tasks:  Developing the VETS model  Initial validation of the VETS model using MOD16 [ET] and field data  Investigate application of VETS ET estimates in AnnAGNPS  Investigate application of VIIRS [simulated] data in AnnAGNPS  AnnAGNPS performance evaluation 5

7. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 STUDY AREA Lower Mississippi, Yazoo River Basin Yalobusha Watershed 6 Rationale: -long history of hydrologic work -extensive infrastructure -long history of hydrologic data -NSL past & ongoing projects

8. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 VETS: Concept Weather historical data Land Surface Temperature GridVegetation Index Grid PixelETpVILST 1Y1Y1 X 11 X 21 2Y2Y2 X 12 X 22 nYnYn X 1n X 2n 7

9. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 J F M A M J J A S O N D Simulation period Yalobusha Watershed [08030205] Data: IR + R bands MODIS VI GRID AnnAGNPS Analysis & Evaluation Final Report  Peak Runoff est.  Sediment yield  Nutrient load Project Summary: Weather Station Data Land Surface Temp LST GRID Simulations Virtual ET Sensor: Regression model MOD16 MODIS daily PET GRID VIIRS daily PET GRID Penman ET data Outputs Simulated VIIRS VI GRID MOD16 MODIS TRIMM validation 1 2 3 8

10. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Project Schedule & Status

11. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 Thanks

12. The University of Mississippi Geoinformatics Center NASA MRC RPC – 11 July 2007 MODIS-based data sources SEBS [Surface Energy Balance System] Variable (unit) Remote sensing variables –Surface temperature (oK); Surface emissivity –Surface albedo –Leaf Area Index –Fractional vegetation coverage –Roughness height and displacement height (m) Source MODIS Land Products –MOD-11: Land surface temperature and emissivity –MOD-43: Surface reflectance –MOD-15: Leaf Area Index & FPAR –MOD-13: Gridded NDVI & MVI –MOD-12: Land Cover