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

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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

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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

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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

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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