Agricultural Satellite Monitoring
Technological Advancement
Agricultural Satellite Monitoring delivers high resolution satellite imagery and
new capabilities for farmers. Inter-field, intra-field unique industry analyses.
Simple access to your fields in seconds with any computer or phone.






United
capabilities
Analyses
Crop Health
Inter-field Crop Health indicates health variability between multiple parcels; it is used for comparison purposes of multiple parcels. Intra-field Crop Health indicates health variability within every single parcel; it is not influenced by other crop types, crop growth stages outside the parcel.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Does not saturate under conditions of moderate to high aboveground biomass
Spatial resolution: 10 m
Symbology:
- Low health
- High health
Plant Water Content
Inter-field Plant Water Content indicates water variability between multiple parcels; it is used for comparison purposes of multiple parcels. Intra-field Plant Water Content indicates water variability within every single parcel; it is not influenced by other crop types, crop growth stages outside the parcel.
Specifications
High resolution optical satellite imagery-based analysis using near-infrared, red-edge, shortwave-infrared bands
Spatial resolution: 15 m
Symbology:
- Low content
- High content
Chlorophyll Content
Inter-field Chlorophyll Content indicates chlorophyll variability between multiple parcels; it is used for comparison purposes of multiple parcels. Intra-field Chlorophyll Content indicates chlorophyll variability within every single parcel; it is not influenced by other crop types, crop growth stages outside the parcel.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Spatial resolution: 10 m
Symbology:
- Low content
- High content
Anomaly Detection
Vegetation anomalies detected inside a parcel can vary from man-made structures to early stages of crop disease. They can be visible or less visible to the human eye on the field.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Extracts unknown targets spectrally distinct relative to the background. Analysis developed by SensoMap using its own unique detection algorithm
Spatial resolution: 10 m
Symbology:
- No anomaly
- Anomaly
Canopy Cover
The up-to-date status of your parcels supports a better understanding of your land management and logistics planning. In addition it is used in earlier stages of the season to monitor the uniform distribution of emerging plants on the soil surface.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Decreased accuracy when used on frost damaged vegetation
Spatial resolution: 10 m
Symbology:
- No vegetation
- High vegetation
Evolution
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Specifications
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Spatial resolution: 10 m
Symbology:
- Low health
- High health
Fire (Emergency Response)
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Specifications
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Spatial resolution: 10 m
Symbology:
- Low health
- High health
Flood (Emergency Response)
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Specifications
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Spatial resolution: 10 m
Symbology:
- Low health
- High health
Crop Health
Detects subtle changes in plant health before they are visible to the human eye. indicator of crop stress NUTRIENT DEFICIENCIES, DISEASE, It is also a direct indicator of vegetation density. The identification of unusual high density areas inside a parcel enables weed detection.
Inter-field Crop Health indicates health variability between multiple parcels; it is used for comparison purposes of multiple parcels. Intra-field Crop Health indicates health variability within every single parcel; it is not influenced by other crop types, crop growth stages outside the parcel.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Does not saturate under conditions of moderate to high aboveground biomass
Spatial resolution: 10 m
Symbology:
Low health
High health
Plant Water Content
Provides leaf water content information at canopy level. It is an indicator of water stress and in direct relationship with plant development, crop productivity and crop failure.
It detects active irrigation systems providing support for irrigation management. Your water distribution can be monitored for uniformity and equipment malfunctions.
Inter-field Plant Water Content indicates water variability between multiple parcels; it is used for comparison purposes of multiple parcels. Intra-field Plant Water Content indicates water variability within every single parcel; it is not influenced by other crop types, crop growth stages outside the parcel.
Specifications
High resolution optical satellite imagery-based analysis using near-infrared, red-edge, shortwave-infrared bands
Spatial resolution: 15 m
Symbology:
Low content
High content
Chlorophyll Content
Canopy Chlorophyll Content is the total amount of chlorophyll in a given area and indicates the photosynthetic efficiency of your plants.
It is a input in vegetation models development and potential gross primary productivity. Chlorophyll Content has a close and nearly linear relationship with canopy nitrogen estimation.
Inter-field Chlorophyll Content indicates chlorophyll variability between multiple parcels; it is used for comparison purposes of multiple parcels. Intra-field Chlorophyll Content indicates chlorophyll variability within every single parcel; it is not influenced by other crop types, crop growth stages outside the parcel.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Spatial resolution: 10 m
Symbology:
Low content
High content
Anomaly Detection
A first look analysis providing fast identification of areas that might require your further observations.
Vegetation anomalies detected inside a parcel can vary from man-made structures to early stages of crop disease. They can be visible or less visible to the human eye on the field.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Extracts unknown targets spectrally distinct relative to the background. Analysis developed by SensoMap using its own unique detection algorithm
Spatial resolution: 10 m
Symbology:
No anomaly
Anomaly
Canopy Cover
Green Canopy Cover provides an accurate delineation of vegetated areas in order to keep your land use records current. The up-to-date status of your parcels supports a better understanding of your land management and logistics planning. In addition it is used in earlier stages of the season to monitor the uniform distribution of emerging plants on the soil surface.
Specifications
High resolution optical satellite imagery-based analysis using visible, near-infrared bands
Decreased accuracy when used on frost damaged vegetation
Spatial resolution: 10 m
Symbology:
No vegetation
High vegetation
Evolution
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Specifications
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Low health
High health
Fire (Emergency Response)
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Specifications
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Low health
High health
Flood (Emergency Response)
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Low health
High health
Charts
Intra-field analyses have statistics to understand their variability. Enabling high-precision
measurements of problem areas and crop evolution.
Crop Health

Charts for an active irrigation system
Click the charts for more statistics
Plant Water Content

Charts for an active irrigation system
Click the charts for more statistics
Chlorophyll Content

Charts for an active irrigation system
Click the charts for more statistics
Overall

Charts for an active irrigation system
Click the charts for more statistics
Evolution Crop Health

Charts for an active irrigation system
Click the charts for more statistics
Evolution Plant Water Content

Charts for an active irrigation system
Click the charts for more statistics
Evolution Chlorophyll Content

Charts for an active irrigation system
Click the charts for more statistics
Case Studies
View real-world examples of analyses detecting disease evolution,
weeds evolution, nitrogen variability, irrigation leaks and other.

Location
When using a mobile see the location and direction it is pointing towards. To reach problem areas in your analyses.
Transfer
Download and transfer your analyses on other equipments, field machinery.

Transfer
Download and transfer your analyses on other equipments, field machinery.