Imagery Lab
- Select the field you want images of
- Field Dashboard scroll down to Imagery Lab
- Imagery options will appear for this selected field
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Slider View - one imager of the fields
- Left view is the view selected in the drop down menu
- Right view is the view selected in the drop down menu
- To ensure the date is the same on each side of the slide click the Calendar Icon on the date of the image you wish to view
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Two Images
- Select the dates you and view that you would like to display side by side
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Four Images
- Select the dates you and view that you would like to display side by side
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Six Images
- Select the dates you and view that you would like to display side by side
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Productivity Images
- Creating a productivity images is based off of the highest vegetative views of that field over several years.
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Slider View - one imager of the fields
- Scouting task Creation
- Select the camera icon
- Click the area where a pin is to be placed to create a GPS reference point for the scouting task. Several pins can be created in one scouting task
- Select the check mark
- Add Task
Satellite Info
- The system makes use of satellite images from about 10 different satellites (the quantity depends on the specific location of an object).
- All images are calibrated — brought to a single standard. Thus, data from different satellites can be compared with each other. Users can be sure that the same type of indicators from different resources are interpreted accurately and correctly.
- Among the satellites, data from which takes the system are the following:
- MODIS takes images with resolution of 250 m per 1 pixel that are updated on a daily basis (under good weather conditions).
- Landsat 8 takes high resolution images (30 m and 15 m per 1 pixel). The frequency of updates depends on location and cloud cover. On average, the data is updated once in 8–16 days.
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Sentinel–2A, Sentinel–2B, and Sentinel–2C capture high–resolution images at 10 meters per 1 pixel. The Sentinel–2 satellite constellation is primarily designed to support agricultural and forestry practices, as well as food security management. These satellite images are used to calculate various plant indices, such as chlorophyll and water content. This data is particularly valuable for accurate yield prediction and vegetation monitoring. The integration of Sentinel–2 satellites (with a resolution of 10 m/pixel) has doubled the number of images available in the system and increased the update frequency to every 3–5 days, depending on location and cloud cover. This means more reliable data to support grower`s decisions in the field.
- Planet Labs’ Satellite Monitoring. With approximately 200 satellites in orbit, Planet Labs provides high-resolution imagery (3 meters per 1 pixel), offering a continuous and near-daily view of the Earth’s surface. The frequency of image updates depends on cloud cover.
- MetOp ASCAT. The MetOp ASCAT satellites deliver data for soil moisture (to create the soil moisture model the system used historical data from the ERS-1/2 AMI-SCAT + MetOp ASCAT satellites, for soil moisture calculations Cropwise Operations uses MetOp ASCAT data (ERS-1/2 is no longer operational, MetOp was run to replace it).
- To monitor crops Cropwise Operations uses a multi-satellite platform. The solution analyzes and combines data from different types of satellite systems: optical, radar and weather, and also integrates the results of aerial photography.
Syngenta Digital Support
Email: support@syngentadigital.com
Toll Free: (866) 552-6332
M-TH: 7:00 AM - 6:00 PM CST
F: 7:00 AM - 5:00 PM CST