estimation of crop yield potential
Post on 09-Jan-2017
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Delineation of yield potential zones based on satellite remote sensing
Baltic Open (Geo) Data Hackathon 2016
Vojtěch Lukas, Karel Charvát jr.,
www.foodie-project.eu
Grant agreement no: 621074CIP-ICT-PSP-2013-7 Pilot Type B
2www.foodie-project.eu
Main Goal
Identify yield potential zones within selected field (plot)• Yield potential zones are areas with same yield level within field• The yield level of zone is expressed as percentage of average yield within
individual plot
3www.foodie-project.eu
Open Data• USGS ESPA Repository of LANDSAT images.
Mainly EVI and CFmask Private data:
• Field boundaries from local farmers
Main data sources relevant for Latvia
4www.foodie-project.eu
1. Obtaining input data and preprocessing2. Computing average EVI for each field3. Computing ratio: EVI / Average EVI for each pixel4. Aggregation for more years 5. Resampling data6. Classification (5% classes)
Main Steps
5www.foodie-project.eu
Advantages• Usable where complete series of yield maps are missing• Based on open data (Fully or partly for different countries)
Disadvantages• Low spatial resolution• Many factors can cause various Inaccuracies• Sometimes lack of usable Landsat scene (cloudy period)
Main advantages and disadvantages
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