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Monitoring Global Crop Condition Indicators Using a Web-based Visualization Tool

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Title: Monitoring Global Crop Condition Indicators Using a Web-based Visualization Tool


1
Monitoring Global Crop Condition Indicators Using
a Web-based Visualization Tool
  • U.S. Department of Agriculture
  • Foreign Agricultural Service
  • Production Estimates and Crop Assessment Division
  • Robert Tetrault, Crop Analyst

2
Crop Explorer Overview
Global crop condition information for major
agricultural regions in the world can be
monitored using the web-based application called
Crop Explorer
3
Production Estimates and Crop Assessment Division
To produce the most objective and accurate
assessment of the global agricultural production
outlook and the conditions affecting food
security in the world.
  • History- Programs and archived data from 1979
    (LACIE-AgriStars).
  • PECAD provides operational market intelligence to
    its customers, primarily USDA decision-makers
    during monthly lockup process.

4
Crop Explorer FASs On-line Crop Condition
Information
  • Easy-to-read crop condition information for most
    agricultural regions in the world.
  • Crop Explorer automatically extracts crop and
    weather indicators from a database and provides
    that information graphically for users.
  • The indicators are categorized by crop type,
    region and season.
  • Weather and satellite-derived vegetation data are
    updated every ten days.
  • Maps (areal extent) and charts (time-series) of
    important agricultural areas are created.

5
Data Sources
  • US Air Force
  • Daily weather data.
  • World Meteorological Organization
  • Daily weather data.
  • NOAA
  • Almost daily satellite data for vegetation
    monitoring.
  • NASA
  • Twice daily satellite data for vegetation
    monitoring and periodic data for reservoir height
    monitoring.
  • European Space Agencies
  • 10-day satellite data for vegetation monitoring.

6
Data Stored and Organized in CADRE
  • CADRE (Crop Condition Data Retrieval and
    Evaluation) is a geospatial DBMS that stores
    daily weather data and satellite-derived data
    products.
  • CADRE Data Historical Depth
  • World Meteorological Organization (WMO) data
    from 1979.
  • U.S. Air Force Weather Agency (AFWA) data from
    1981.
  • Global Area Composites-Advanced Very High
    Resolution Radiometry (GAC-AVHRR) data
  • 15-day composites from 1989.
  • 10-day composites from 2000.
  • SPOT-Vegetation (SPOT_VMI)
  • 10-day composites data from 1998.

7
Air Force Weather Data (AFWA)
  • Daily AFWA Data Loaded Next Day
  • 24-hour precipitation
  • Actual and Potential ETP
  • Maximum Temperature
  • Minimum Temperature
  • Snow Coverage
  • Solar and IR Radiation
  • PECAD Adds to CADRE
  • Average Daily Temperature
  • Cumulative precipitation
  • Soil Moisture Model
  • Crop Calendar Models
  • Crop Stress (Alarm) Models
  • Relative Yield Reduction Models
  • Winterkill Wheat Model

8
Automated Data Visualization Products for
Agricultural Regions Worldwide
1
2
3
Agricultural RegionMarcos Juarez, Cordoba.
Argentinas Most Important Soybean Production
Area.
9
Charts and Map Attributes/InternetEvery 10 days
849 attribute maps and 30,000 updated charts
  • Seasonal Percent of Normal Precipitation
  • Precipitation and precipitation percent of normal
  • Average Temperature and departure from normal
  • Maximum Temperature and departure from normal
  • Minimum Temperature and departure from normal
  • Percent Soil Moisture
  • Surface Soil Moisture
  • Subsurface Soil Moisture
  • SPOT-Veg NDVI
  • SPOT-Veg NDVI Departure from Normal
  • SPOT-Veg NDVI Departure from Last Year
  • Multiple growing seasons, starting with 2000.
  • Weather and soil moisture data from AFWA and WMO.

10
31 Regions/949 Sub-regions
Numerous Sub-regions in each Region
Queensland, Wheat Queensland, Cotton Queensland,
Barley Queensland, Sunflower Queensland, Sorghum
South Australia, Wheat South Australia,
Barley South Australia, Rapeseed
11
Data Convergence
  • Precipitation from two sources are aggregated
  • Spatially (at the sub-region)
  • Temporally (every ten days)
  • Differences between the sources are charted every
    ten days and cumulative differences are recorded.
  • Western Australia wheat areas has 13 mm
    difference in 140 days.

12
New Products MODIS Rapid Response
NASA Partnership
  • MODIS provides rapid views of agricultural
    regions.
  • Two satellites (aqua terra) three resolutions
    (250m, 500m, 1,000m) two formats (jpg
    geoTiff) three band combinations (true color
    7,2,1 and NDVI).
  • Images are available six hours after
    acquisition.

13
MODIS Rapid Response
  • Regional Summary describes where images are being
    acquired. Click on one of eight areas .

14
MODIS Rapid Response
  • Regional Summary describes where images are being
    acquired. Click on one of eight areas .
  • Regional View allows user to choose
  • Band Combination for MODIS Imagery
  • Specific date
  • Specific Resolution
  • Download data to your GIS

15
New Products Reservoir and Lake Monitoring
NASA Partnership
  • Jason-1 Satellite provides near-real time
    altimeter data for heights of lakes and
    reservoirs.
  • Large lakes (gt100 km2) in important agricultural
    regions are being monitored.

16
Reservoir and Lake Monitoring
  • Reservoir and lake heights are displayed in chart
    form for the last 12 years.
  • The accuracy of the height variations are
    expected to be better than 10 cm.
  • Currently, data for about 70 lakes on-line.

17
Why?
  • U.S. and international producers, traders,
    researchers, and the public can access weather
    and satellite information used by agricultural
    economists and scientists who predict crop
    production worldwide.
  • Crop Explorer automates the processing and
    extraction of certain agro-meteorological
    indicators from the source data and provides that
    information graphically to users.

18
Data Products Provided by Crop Explorer,Analysis
by Users
  • Crop Explore provides quick overviews of crop
    condition parameters.
  • Allows the crop analyst to spend more time on
    analysis and less time on data manipulation.
  • GAC-NDVI and percent soil moisture for the same
    sub-region in Montana can be quickly looked at
    for insights into crop conditions.

19
Combine Weather Information with Crop Information
  • Where is the top producing area?
  • Where are the marginal areas?
  • Where are the vulnerable areas?
  • What are the crop conditions for those areas?

20
Top-Level Domain Types Using Crop Explorer in 2003
  • Top users appear to be small enterprises (.net)
    or commercial companies (.com).
  • .gov is less than 8
  • .com is 33
  • .net is 51 (assumed to be smaller companies or
    private individuals)
  • Number of visits to Crop Explorer is increasing
    in 2004.

21
Most Active Organizations
The most active organization is AOL.com. Below
is a list of select agribusinesses and foreign
governments who are using Crop Explorer.
  • Foreign Governments
  • Argentina (Ministry of Economics)
  • Canada (Agrifood Canada)
  • European Commission
  • Japan (Agriculture, Forestry and Fisheries)
  • Ukraine (Ministry of Agro-Industrial Complex)
  • UN (Food and Agriculture Org. FAO)
  • Agri-Business
  • ADM
  • Australian Wheat Board
  • Canadian Wheat Board
  • Cargill
  • Louis Dreyfus
  • Harvest States
  • Mars
  • Monsanto
  • Pioneer
  • Toepfer

22
Crop Explorer is part of U.S. Governments
Geospatial Portal
23
Future Plans for Crop Explorer
  • Integrate landcover data by applying croplands
    mask.
  • Activate MODIS Rapid Response for northern
    hemisphere.
  • Integrate MODIS 16-day composite NDVI into Crop
    Explorer.
  • Improve Additional Resources availability
  • Attaché Reports
  • Crop Maps
  • Crop Calendars
  • Production Briefs
  • Current Condition analysis
  • Address outstanding issues.

24
Issues List for Crop Explorer
  • GAC-NDVI data was pulled from the site May 2004
    due to problems with NOAA-16 data.
  • New GAC-NDVI datasets include NOAA-17 data.
  • Review and publish.
  • SPOT-Veg data processing broke in July 2004 due
    to both personnel problems and systems failures.
  • Build redundancies in processing and provide
    backups in personnel.

25
Remote Sensing Industry Issue
  • Operational use of remote sensing relies on
    reliable and timely delivery of data products.
  • Currently the data products for Crop Explorer
    have a variable lag time between 48 and 144
    hours.
  • Fits within USDAs lockup schedule, just barely.
  • New initiative aims for 6 hours.

USDAs Production Lockup Oct. 8, 2004
Available Oct. 7, 2004
26
Contact Our Staff atProduction Estimates
Crop Assessment DivisionRoom 6053, USDA South
Building1400 Independence Ave., S.W.Washington,
DC 20250Tel 202-720-0888Email
pecad_at_fas.usda.gov
Browse Our Extensive Web Content
athttp//www.fas.usda.gov/pecad/pecad.html
See Crop Explorer at http//www.pecad.fas.usda.go
v/cropexplorer/
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