GDA Agricultural Intelligence and Satellite Image Processing

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    GDA Agricultural Intelligence and Satellite Image Processing - Presentation Transcript

    1. “Monitoring The World, For A Better Tomorrow” Corporate Overview Products and Services Capabilities November 05, 2009
    2. GDA Corporate Overview 2 Highlights:  Founded in 2002 through a Small Business Innovative Research (SBIR) award out of NASA’s Stennis Space Center.  Initial stages of the company's development were R&D based and funded primarily on additional SBIR awards and collaboration with the USDA, NGA (National Geospatial-Intelligence Agency), NASA and USGS.  Heritage provided GDA with a tremendous advantage of providing an environment to develop leading edge technology without the pressures of the commercial marketplace.  Production-oriented from incept: Automated pre-processing, data extraction, analysis and operational delivery of intelligence products for agricultural, environmental and resource management.  GDA Product/Service focus is in four primary areas:  Image pre-processing  RS-based agricultural intelligence,  Regional land cover, process monitoring and mapping  Spatial analytical web processing and online geospatial services
    3. GDA Corporate Overview 3 What is Remote Sensing:  Remote sensing is the science of gathering information about an area or object without the need to be in direct contact with it.  Allows for frequent capturing of detailed information on a global scale. every point on Earth is captured by a satellite several times a day.  Relies on multi-spectral imaging, which includes light from frequencies beyond the visible light range, such as infrared.  Objects have distinct spectral signatures that allows, via remote sensing, identification and measurement of key characteristics. Key markets that Remote Sensing Impacts:  Agriculture Intelligence: Crop Monitoring, Crop production, Crop Condition  Environmental Management : Forest Inventory, Invasive Species, Water Quality  Resource Management : Land Cover, Energy exploration, resource planning, Transportation studies. …… many more!
    4. GDA Corporate Overview 4 How is Remote Sensing Used for Agriculture:  Remote sensing provides direct measurements of ground conditions on every point on the globe at least twice a day (MODIS).  Spectral data gathered through remote sensing allows for : • The identification of specific crop type. • The determination of crop condition and health. • The measurement of the area planted and harvested for a specific crop. • Data utilized in the analysis and forecasting of specific crop yields. • Data utilized in the analysis and forecasting of specific seasonal metrics.  Remote Sensing provides enough detail and granularity to assist farmers with precision farming and enough coverage to monitor crops on a global scale.  Remote sensing allows for monitoring of 100% of global croplands at a fraction of the cost and time that would be required to perform on a manual basis.
    5. GDA Corporate Overview 5 Agricultural Products Available Today!  Operational Delivery of Crop Condition and Yield Reports  Global Coverage  Granularity to sub-national level 3 (i.e., Country, State, CRD)  Monthly Deliveries (Bi-monthly and weekly deliveries, 24/7 web updates available in 2010)  24/7 Service for Hands-on Analysis of Crop Conditions and Yield Forecasting  Online interactive tools for creating your own analysis and yield forecasts.  Rapid Response Crop maps  Wall-to-wall for requested country, admin level or specified area  Rapid Analysis of Flood Impact on Croplands  GDA’s ability to utilize multiple sensors in a single application leads to unparalleled response time and detail accuracy.  Full Suite of Image Pre-Processing and Analytical Services, including:  SASR (Standard Atmosphere Surface Reflectance)  CASA (Cloud and cloud Shadow Assessment)  NDVI (Normalized Difference Vegetation Index)  NDWI (Normalized Difference vegetation Water content Index)  NDDI (Normalized Difference Drought Index)  SBDC (Scene Based Dominant Crop maps)  SBWL (Scene Based Water Layer maps)  All Available as Multi-scene products (Mosaics and Composites)
    6. GDA Technology Overview 6 What makes GDA unique?  Industry is divided into two camps 1. Low resolution imaging on global scale. GDA 2.Medium/High resolution imaging on a Corp small/local scale A 16 day composite low resolution image is shown at the left. This is the industry standard for global monitoring. MODIS 16 day Composite: January 09, 2009 Lukas do Rio Verde, Mato Grosso, Brazil
    7. GDA Technology Overview 7 What makes GDA unique?  GDA is the only vendor to utilize medium and high resolution imagery on a Global scale. GDA Why? Corp 1. Utilizes GDA’s proprietary pre-processing algorithms allowing for utilizing multiple sensors in a single application to gain the spatial, temporal and spectral resolution required , while maintaining accuracy. 2. Automated and operational data extraction and intelligence delivery. A medium resolution image is now shown at the left. This is the GDA standard for global monitoring. P6-AWiFS: January 13, 2009 Lukas do Rio Verde, Mato Grosso, Brazil
    8. GDA Technology Overview 8  Intelligence data is extracted from satellite imagery.  The resolution of the imagery determines the detail and accuracy possible.  GDA’s processing and data extraction algorithms allow for use of medium/high resolution imagery on a global scale. The Industry Standard The GDA Standard MODIS 16 day composite: Jan 09, 2009 P6-AWiFS: January 13, 2009 The advantage is Clear!
    9. GDA Product Examples 10 Time Series Analysis  Operational Smoothing of Time Series Data  Forecasting the Remainder of the Season  Determination and Forecast of Various Seasonal / Agricultural Metrics  Comparative Analysis of Current vs. Historical Time Series Data and Metrics  Available for multiple metrics such as NDVI, NDWI, NDDI. End of Average TS Actual TS Raw TS Start of Forecasted TS Smoothed TS
    10. GDA Product Examples 11 Yield Statistics and Forecast Operational Delivery of Yield Forecasts and Comparison to Historical Data GDA’s yield forecasting system determines the most accurate methodology in which to generate the forecast (self learning) and provides analysis of the accuracy. Yield Chart including GDA Yield Forecast, average Each forecast evaluated with yield and trend yield forecast back cast analysis against final NASS Yield numbers
    11. GDA Capability Example 12 Area Analysis: Brazil  GDA completed an in depth study of the Lukas do Rio Verde, soybean growing season in Brazil in Mato Grosso, Brazil 2008/2009.  Study included detailed study of crop acreage, crop condition and crop yield.  The following slides highlight a subset of the acreage study focusing on Lukas do Rio Verde in Mato Grosso, Brazil.  These slides highlight GDA’s capabilities and the inherent advantages of medium and high resolution imagery as well as the ability to combine multiple resolutions into a single study.
    12. GDA Capability Example 13 GDA’s TimestandTM technology automates GDA’s CASATM and USFETM technologies radiometric standardization of multiple scenes automate feature extraction and for analysis and mosaic creation. enhancement of imagery effected by clouds and shadows. Croplands: Soybeans (light green color) GDA GDA Corp. croplands Corp. croplands forest Forest forest Forest croplands Croplands: Bare soil (reddish color) Overview of Lukas do Rio Verde, Mato Grosso, Brazil December 06, 2008 / P6-AWiFS image Aug-Oct 2008 mosaic (high resolution imagery) Lukas do Rio Verde, Mato Grosso, Brazil
    13. GDA Capability Example 14 Automation allows GDA to quickly process High frequency of data is extremely important in imagery with greater temporal detail, increasing regions where staggered planting and double our ability to provide true crop monitoring. cropping is a common practice. Croplands: Croplands: Soybeans Soybeans (light green (light green color) color) GDA GDA Corp. Corp. Fores Forest t Forest Croplands: Croplands: Bare soil Bare soil (reddish (reddish color) color) December 10, 2008 / P6-AWiFS image January 13, 2009 / P6-AWiFS image Lukas do Rio Verde, Mato Grosso, Brazil Lukas do Rio Verde, Mato Grosso, Brazil
    14. GDA Capability Example 15 GDA’s unique ability to merge data from Even medium resolution imagery will have data multiple sensors with various resolutions, allows gaps on any single image (purple in image for an unparalleled combination of accuracy below). GDA’s technology eliminates these and detail. gaps. GDA GDA Corp. Corp. SOYBEAN Map: December 10, 2008 SOYBEAN Map: January 13, 2009 Lukas do Rio Verde, Mato Grosso, Brazil Lukas do Rio Verde, Mato Grosso, Brazil Landsat 7 + P6-AWiFS + MODIS P6-AWiFS
    15. GDA Capability Example 16  A detailed study of Brazil provides a great example of GDA’s strengths and technology advantages.  Example demonstrates not only the ability to determine crop acreage but to monitor and account for staggered planting and harvested areas, providing in-season net acreage and accumulated planted and harvested acres. Harvested DECEMBER 10, 2008 Acres Soybean fields Soybean Planted Area 333,418 GDA Corp. Total Cropland Area 622,099 Soybean area as percent of total cropland area: 53.6% JANUARY 13, 2009 Acres Soybean Planted Area 526,611 Soybean area as percent of total cropland area: 84.7% CHANGE from Dec 10, Acres New Soybean fields 2008 to Jan 13, 2009 New Soybean Planted Area 222,880 Soybean Harvested 32,985 SOYBEAN CHANGE Map: Dec 10, 2008 to Jan 13, 2009 Lukas do Rio Verde, Mato Grosso, Brazil
    16. “Monitoring The World, For A Better Tomorrow” To learn more about GDA’s : Image Processing Services Agriculture Intelligence Products Environmental and Resource Management Services Visit us on the Web at www.gdacorp.com November 05, 2009

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