World Agricultural Outlook Board Utilization of GIS Technology for Agrometeorological Applications Robert Stefanski and Ray Motha World Meteorological Organization U.S. Dept. of Agriculture M inim um Tem peraturesin W inter W heatA reas A pril13, 2004 100% 93% 49% 18% 8% OK KS NE CO TX XX = M inim um T em perature XX% = Percent Crop J ointing = M inorG row ing A rea = M ajor G row ing A rea LEGEND XX% (Source: NOAA) (Source: N A SS) W orld A griculturalO utlook Board JointAgriculturalWeatherFacility
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World Agricultural Outlook Board Utilization of GIS Technology for Agrometeorological Applications Robert Stefanski and Ray Motha World Meteorological.
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World Agricultural Outlook Board
Utilization of GIS Technology for Agrometeorological Applications
Robert Stefanski and Ray MothaWorld Meteorological OrganizationU.S. Dept. of Agriculture
Minimum Temperatures in Winter Wheat AreasApril 13, 2004
100%
93%
49%18%
8%
OK
KS
NE
CO
TX
XX = Minimum Temperature
XX% = Percent Crop Jointing
= Minor Growing Area
= Major Growing Area
LEGEND
XX%(Source: NOAA)
(Source: NASS)World Agricultural Outlook BoardJoint Agricultural Weather Facility
• Several analytical techniques are used to monitor crop weather worldwide
– time series analyses– Historical analog comparisons– static maps– Depiction of ET, soil moisture
• Until recently, many maps were static and depicted just one variable, making it difficult to:
– overlay data sets– visualize and evaluate relationships– easily assess crop weather conditions
• Geographic Information Systems (GIS) have helped overcome these hurdles
- Coastal Proximity- Vertical Layer (inversion)- Topographic Index (cold air
pooling)- Effective Terrain Height
(orographic profile)
http://www.ocs.orst.edu/prism/
GIS used to track tropical cyclones
GIS used to map flooding associatedwith a landfalling hurricane
• Software– ArcView 3.x
– ArcGIS 9.x
• Hardware– 7 Pentium IV desktop computers
• Processing speed 2.4 to 2.8 GHz
• 512 MB RAM
• Windows 2000/XP operating system
– PCs connected via local area network
– Oracle 9i database
WAOB GIS
• U.S. National Weather Service – synoptic/cooperative observer data
• WMO data important
• NWS/WMO data archived in DBMS
• Data describing extreme weather– tropical cyclone wind/coordinate data
– mesonetwork temp./precip. data
• USDA National Agricultural Statistics Service (NASS) crop production, yield, and area data
• NASS weekly crop progress/condition data
Data
• WAOB GIS regularly used to create a variety of agricultural weather analyses
• Products grouped into three categories:– Manual, single-parameter
applications
– Automated, single-parameter applications
– Manual, multiple-parameter applications
USDA Agrometeorological GIS Applications
• Refer to those WAOB products that map one agricultural or meteorological parameter and are generally labor-intensive to create
• Created by manually converting raw data into GIS-compatible formats and then using a GUI to import and display these data in the GIS
• GUI also used to add text and legends to the crop and weather maps, and thus create the finished products
Manual, Single-Parameter Applications
Russia: Wheat
JOINT AGRICULTURAL WEATHER FACILITY (JAWF)
Major growing areas
Minor growing areas
LegendPercentages indicate each region's contribution to total national production. Regions not numbered contribute less than 1% to the national total.
22826
28
15
SiberiaRegion
Urals Region
NorthernRegion
VolgaRegion
CentralRegion
SouthernRegion
RussiaUkra ine
Belarus
Kazakhstan
Area depicted in map above
Lakes
FEB MAR
Wheat crop calendar for most of Russia
JAN MAYMAR APR DECAUGJUN JUL SEP OCT NOV
PLANTPLANT
HEADHEAD
HARVEST HARVEST
#
# Major and minor growing areas combined account for99% of total national production
Major growing areas combined account for 75% of totalnational production
Major and minor growing areas and country production percentages based upon averaged oblast-level data from 1996-2000.
#
Source: Sovecon Agrokhleb Bulletin Statistics and Forecasts February 18, 2003 Issue No.4 (41), 2002.
Pink = spring wheat
Blue = winter wheat
Russia: Wheat
JOINT AGRICULTURAL WEATHER FACILITY (JAWF)
Major growing areas
Minor growing areas
LegendPercentages indicate each region's contribution to total national production. Regions not numbered contribute less than 1% to the national total.
22826
28
15
SiberiaRegion
Urals Region
NorthernRegion
VolgaRegion
CentralRegion
SouthernRegion
RussiaUkra ine
Belarus
Kazakhstan
Area depicted in map above
Lakes
FEB MAR
Wheat crop calendar for most of Russia
JAN MAYMAR APR DECAUGJUN JUL SEP OCT NOV
PLANTPLANT
HEADHEAD
HARVEST HARVEST
#
# Major and minor growing areas combined account for99% of total national production
Major growing areas combined account for 75% of totalnational production
Major and minor growing areas and country production percentages based upon averaged oblast-level data from 1996-2000.
#
Source: Sovecon Agrokhleb Bulletin Statistics and Forecasts February 18, 2003 Issue No.4 (41), 2002.
Pink = spring wheat
Blue = winter wheat
Crop Production Data – Internet
U.S. Corn
Crop Production Data – Excel
U.S. Corn
Crop Production Data – ArcView
U.S. Corn
Weather Analyses – Text File
Text file, comma-delimited WMO data
Note latitude/longitude data in addition to weather data
Weather Analyses – GIS Table
Weather Analyses – Data Plotted
Weather Analyses – Data Contoured
• Similar to manual, single-parameter applications in that one agricultural or meteorological parameter is displayed and analyzed on each map, however, the process for creating these products has been automated
• Product creation process can be time consuming and tedious if a large number of products are desired and these products are created manually
• Automation significantly reduces the time and labor required to produce these products
Automated, Single-Parameter Applications
• Object-oriented programming language, enables users to automate various tasks associated with mapping
• Examples of automation:– loading data
– spatial analysis (e.g., contouring)
– defining map scale/extent
– annotation
– creating a map legend
– exporting/printing a map
World Agricultural Outlook Board
Avenue Scripts
World Agricultural Outlook Board
Daily Plot Maps
Empty, partially filled, and completely filled green circles symbolize precipitation amounts
• Refer to those WAOB products that map two or more agrometeorological parameters and are generally labor-intensive to create
• Demonstrate the significant overlay capabilities of GIS, specifically the ability to visualize – and quantify – the percent of agriculture affected by various types of weather
• Often typify the special crop weather assessments prepared by WAOB meteorologists in response to extreme or severe weather
World Agricultural Outlook Board
Manual, Multiple-Parameter Applications
Minimum Temperatures in Winter Wheat AreasApril 13, 2004
100%
93%
49%18%
8%
OK
KS
NE
CO
TX
XX = Minimum Temperature
XX% = Percent Crop Jointing
= Minor Growing Area
= Major Growing Area
LEGEND
XX%(Source: NOAA)
(Source: NASS)World Agricultural Outlook BoardJoint Agricultural Weather Facility
Crop Weather Analyses – Hurricane Frances
Crop Weather Analyses – Hurricane Ivan
• In 1999, government and university scientists began working together to produce the U.S. Drought Monitor (USDM), a weekly product designed to provide a single snapshot of the spatial extent and intensity of drought in U.S.
• Drought experts from four agencies are responsible for coordinating USDM production each week
• On a rotating basis, an individual from one of these agencies serves as product author for the week, and typically authors the product for 2 weeks.
World Agricultural Outlook Board
U.S. Drought Monitor – Background
• Each Monday, author consults data from numerous sources– quantitative observational networks
– model output
– satellite and radar imagery
– subjective reports
• Author uses these data to prepare a first draft of the USDM for that week
• Draft distributed via email list-server to approximately 150 people, including fellow authors and climate and water experts from around the country.
World Agricultural Outlook Board
U.S. Drought Monitor - Methodology
1st draft
1st draft
1st draft
1st draft
2nd draft
2nd draft
2nd draft
2nd draft
3rd draft
3rd draft
3rd draft
3rd draft
FINAL
FINAL
FINAL
FINAL
• Members of drought list provide author feedback, used to refine USDM
• Through iterative process, author prepares and distributes 2-3 drafts of the USDM during Monday, Tuesday, and Wednesday of each week to obtain the best product possible.
• Final product and an accompanying text summary posted every Thursday at 0830 LT on the USDM web site: (http://www.drought.unl.edu/dm/monitor.html)
World Agricultural Outlook Board
U.S. Drought Monitor - Methodology
• Originally prepared using CorelDraw– unable to overlay indices
– quantitative analysis not possible
• USDM authors switched to ArcGIS
• Authors obtained professional training– draw drought areas
– annotate map
– print/export product
• Initial difficulties using GIS blamed on– author inexperience