Aplication of remote sensing in Foodie
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This document discusses the application of remote sensing techniques in monitoring crop fields for site-specific crop management. Periodic satellite imagery from Landsat 8 and Sentinel-2 is used to identify spatial variability in vegetation growth across fields at a medium resolution. Vegetation indices like NDVI and EVI are calculated from the imagery and used to assess crop stands and delineate management zones. High resolution aerial imagery from an Ultracam camera is also used to map fields and guide variable applications of fertilizers and pesticides. Farm telemetry sensors monitor tractor movement, fuel usage, and work logs to optimize farm inputs and machinery utilization.
Aplication of remote sensing in Foodie
- 1. 1www.foodie-project.eu Aplication of remote sensing in FOODIE Vojtech Lukas, Tomas Reznik, Karel Charvat Jr., Karel Charvat, Sarka Horakova
- 2. 2www.foodie-project.eu • Scenario C – Monitoring of in-field variability for site specific crop management • development of stable monitoring system for effective identification of spatio-temporal variability of crops and to use this information for optimization of the crop management practices.
- 3. 3www.foodie-project.eu Sc.C – Site Specific Crop Management Periodic satellite remote sensing • for identification of spatial variability and capturing the dynamics of vegetation growth, both at medium level of spatial resolution • Suggested satellite survey is based on the free available data of Landsat 8 or in 2015 launched Sentinel-2. • The main information are vegetation indices NDVI and EVI • The absolute values of VI, their relative to mean value of the field and change detection will be implemented for assessment of crop stands and delineating of management zones.
- 4. 4www.foodie-project.eu Example of L8 dataset for Czech pilot farm LC81900262015127LGN00LC81890262015200LGN00 LC81900262015143LGN00 = not reliable for planning of VRA Cloud coverage over farm area
- 5. 5www.foodie-project.eu • Landsat 8 OLI • 30m spatial resolution for MS; 16 days revisit cycle • USGS EarthExplorer – at-sensor radiance data (geotiff) • USGS ESPA – surface reflectance data incl. basic set of VI products • Sentinel 2 A/B MSI • 13 bands, 10m / 20m / 60m spatial resolution; revisit time 5 days (S2A+S2B) • ESA Sentinels Scientific Data Hub Data source
- 6. 6www.foodie-project.eu Estimation of field crop variability based on the recent years Landsat images and EVI2 index FOODIE Czech pilot farm
- 7. 7www.foodie-project.eu Landsat 8 OLI images crop development within 68-ha (spring barley) and 62-ha (winter wheat) fields in 2014 represented by NDVI
- 8. 8www.foodie-project.eu Sc.C – Site Specific Crop Management Operative aerial remote sensing • mapping of the fields at high spatial resolution but with low frequency • the aim is to prepare the prescription maps for variable applications of fertilizers and pesticides, estimated by the spectral measurement of crop parameters. • aerial imaging will be carried out using multispectral camera (Ultracam) by an external provider of photogrammetric services. • a workflow will be developed for pre-processing of acquired images (radiometric and geometric corrections) and their analysis and classification according to the MJM interpretation algorithms.
- 9. 9www.foodie-project.eu • Multispectral aerial imaging (Ultracam UCX) winter wheat (69 ha) Mai 2014
- 12. 12www.foodie-project.eu • The effectiveness of each production, including agriculture, is determined by the ratio of the value of the production outputs to the value of production inputs. One of the possibilities of solving the farm effectiveness problem, • FarmTelemetry focuses on is to optimize the level of farm inputs. It can be the energy needed to power agricultural machinery on the fields, energy for the transport of inputs and outputs of production Farm Telemetry
- 15. Tractor movement
- 16. Fuel consumption: tillage (l/h)
- 17. Fuel consumption: detail (l/h)
- 18. Work Log: Excel export
- 19. Daily time utilization (Excel export)