One the applications developed during the Baltic Open (Geo) Data Hackathon 2016.

1. Delineation of yield potential zones based on
satellite remote sensing
Baltic Open (Geo) Data Hackathon 2016
Vojtěch Lukas, Karel Charvát jr.,
w w w . f o o d i e - p r o j e c t . e u
Grant agreement no: 621074
CIP-ICT-PSP-2013-7 Pilot Type B

2. 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

3. 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

4. 4www.foodie-project.eu
1. Obtaining input data and preprocessing
2. Computing average EVI for each field
3. Computing ratio: EVI / Average EVI for each pixel
4. Aggregation for more years
5. Resampling data
6. Classification (5% classes)
Main Steps

5. 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