Rapid Prototyping Capability Project 2006
-
Upload
xyla-salinas -
Category
Documents
-
view
23 -
download
2
description
Transcript of Rapid Prototyping Capability Project 2006
The University of Mississippi Geoinformatics Center NASA MRC RPC Review Meeting: 14-15 April, 2008
Evaluation for the Integration of a Virtual Evapotranspiration Sensor Based on VIIRS and Passive Microwave Sensors into Annualized
Agricultural Non-Point Source Pollution (AnnAGNPS) Model
Rapid Prototyping Capability Project
2006
Lance Yarbrough (PI)Dath Mita (Co-PI)
The University of Mississippi
Ronald Bingner (Ron)USDA-ARS
National Sedimentation Lab
Robert RyanSSAI
John C. Stennis Space Center
Collaborators
Steve RunningThe Numerical Terradynamic Simulation Group
University of Montana
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Presentation Outline Objectives Background Expected Impacts Progress Report (April 2008) Upcoming Major Tasks Schedule Future Science Questions
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Project Objectives
To develop and evaluate a “Virtual” Evapotranspiration (ET) Sensor (VETS) model for estimating ET using Moderate Resolution Imaging Spectroradiometer (MODIS) data
To evaluate the potential of applying VETS model with Annualized Agricultural Non-Point Source Pollution Model (AnnAGNPS)
To evaluate the use of VIIRS data (simulation) as a potential ET data source in place of MODIS
1
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Study Area: Lower Mississippi,
The Yazoo River Basin, Yalobusha Watershed
0 25 5012.5 Miles 4
Yalobusha Watershed
Rationale:-long history of hydrologic work-extensive infrastructure-long history of hydrologic data-USDA-ARS NSL past & ongoing projects
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Background: AnnAGNPS
AnnAGNPS is a watershed-scale simulation program (developed by USDA)
The model simulates point and non-point source quantities of: surface water, sediment, nutrients, and pesticides
The model output is expressed on an event basis for selected stream reaches and outlets
It is also used to evaluate Best Management Practices (BMPs)
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
AnnAGNPS Input Parameters Climate data Hydrology – Daily soil moisture balance Runoff – SCS curve number Subsurface flow Rill and sheet erosion – RUSLE Sediment delivery – HUSLE Gully Erosion Channel Erosion Chemical routing – Mass balance approach Evapotranspiration (ET) – Penman equation
3
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
WindSolar Radiation
HumidityTemperature
PenmanEquation
ETpotential
WindSolar Radiation
HumidityTemperature
PenmanEquation
ETpotentialSoil
MoistureETactual
Project Overview Current AnnAGNPS ET input process involves:
1. The use of climate data and the PENMAN equation to estimate potential ET
2. Estimates of potential ET and soil moisture are used to generate actual ET
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Problem definition:
ET estimation:
Requires several climate data inputs (wind, temperature, solar radiation, humidity etc.)
Not all weather stations collect and record a complete set of the required climate parameters
Certain regions have limited ground weather stations and climate data
Can lead to limited and generalized watershed ET estimates
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Project Outcomes
Enhancing AnnAGNPS as a Decision Support System by:
1. Providing a more efficient and effective ET input process a. Increased spatial coverageb. Reliable and consistent measurements
2. Performance evaluation of AnnAGNPS with satellite data from current (MODIS) and next generation (VIIRS) sensors
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Expected Impacts
(Value and benefits to society)
1. Improvement in the accuracy of predicting non-point source pollution loadings within agricultural watersheds
2. Improvements in the design and implementation of watershed conservation programs.
3. Provision of short and long term improvements in water quality management and human health.
The University of Mississippi Geoinformatics Center NASA MRC RPC Review Meeting: 14-15 April, 2008
Progress Report
April 15, 2008
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Data Collection:
Ground weather station data:
Status: Complete
Research Application:
To process ET data using the Penman equation To run current AnnAGNPS watershed simulation process To determine correlation and/or covariance with satellite-
based ET
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Data Collection:MODIS (2004) Satellite data:
Status: Complete
Acquired and pre-processed:
Surface Reflectance Daily L2G Global (MOD09GHK) Surface Reflectance Quality L2G Global (MOD09GST) Land Surface Temperature/Emissivity daily L3 (MOD11A1) Landcover Types L3 Global (MOD12Q1)
Research Application: To generate intermediate ET factors:
LAI (leaf area index) FPAR (fraction of photosynthetically active radiation) EVI (enhanced vegetation index) ALBEDO
To generating ET using the Virtual ET sensor
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Data Collection:
MODIS ET raw data (2004)
Status: Complete
Acquired ET raw data (0.05 deg) processed using Revised RS-PM algorithm In collaboration with The Numerical Terradynamic
Simulation Group, University of Montana
Research Application: To apply in the Virtual ET sensor system Comparative analysis with Virtual sensor ET algorithm
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Data Collection:Simulated VIIRS data (ITD-SSAI Stennis)Status: In Progress
Surface-Reflectance band I1 (MOD1) and band I2 (MOD2) Emissivity M15 (MOD31) Emissivity M16 (MOD32) Land surface temperature (LST)
Research Application: To generate intermediate ET factors:
1. LAI (leaf area index) 2. FPAR (fraction of photosynthetically active radiation) 3. EVI (enhanced vegetation index) 4. ALBEDO
To generate ET using Virtual ET sensor algorithm and Revised RS-PM algorithm
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Current Research Outputs
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
GIS layers of ground-based (2000-05) Climate Data:(monthly and daily precipitation and temperature)
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Gridded ET GIS layers (Virtual ET Stations)(2004, 8-day composites)
“Virtual” ET Stations
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
MODIS ET Surface Datasets (2004, 8-day)
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Current AnnAGNPS ET estimate
variable inputs
MODISET data
AnnGNPS Climate Data Input Editor Modification
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Modified AnnGNPS Climate Data Input Editor
MODIS/VIIRSET data
AnnAGNPS ET executable code -development -testing -implementation
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Challenge……
Within AnnAGNPS, when the potential ET is combined with the soil moisture in the soil profile, the actual ET is determined.
When Actual ET is supplied by the user, the interaction with soil moisture still needs to be included in order to maintain the water balance in the system that effects surface and subsurface runoff as well as baseflow.
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Watershed Simulation
Collection and preprocessing of AnnAGNPS ancillary variables has been completed,
topographic, soils, landcover, land management datasets etc.
Approximately 95% of the pre-simulation preparations have been completed, including the incorporation of user defined actual ET effects on simulating soil moisture throughout the soil profile.
Major Simulation Parameters: Peak Runoff, Sediment Yield, and Nutrient Load
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Watershed Drainage Area Subdivision by AnnAGNPS Cells
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Assignment of MODIS-ET Grid to AnnAGNPS Watershed Cells
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Watershed RUSLE LS-Factor(slope-length)
Subwta.shp
0.026 - 0.246
0.246 - 0.587
0.587 - 1.072
1.072 - 1.762
1.762 - 2.858
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Watershed Soil Variability
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
MODIS/VIIRSData
Raw ET DataET Algorithm
GIS Protocol-scaling factors
-coefficients
Grid Potential ET Grid Actual ET
AnnAGNPS Climate Input Editor-gridded ET
-watershed cells
ET “Virtual” Sensor System
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Remaining Major Tasks:
Continue VETS Model Testing, Evaluation, and Validation
Watershed simulation experiments:1. Penman ET based (2)2. MODIS ET (2)3. VIIRS simulated ET (2)
Analysis and evaluation of watershed simulation results
Preparation of final report and publication manuscripts
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Project Schedule
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Future Science Questions
How do watershed scale and the use of MODIS/VIIRS ET observations in hydrologic modeling affect the accuracy and precision of hydrologic assessments? Compare in-situ and expected observations of watershed flow,
sediment yield, and nutrient loading
How can we most effectively estimate the tolerances and optimization at local and regional scales?
How can we account for natural variability in ecological systems and allow for the most accurate and precise assessments possible.
The University of Mississippi Geoinformatics CenterNASA MRC RPC Review Meeting: 14-15 April 2008
Greg Easson, Director UMGC
662 915 5995 [email protected]
Contact Information:
Dath Mita, Co-PI UMGC
662 915 5201 [email protected]
Lance Yarbrough, PI UMGC
662 915 6598 [email protected]