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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.

New

capabilities

Analyses

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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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)

Free support with Emergency Response text text text text text text text text text text text text text text text text text text text text text text text text text text text

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Specifications

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Low health

High health

Charts

Intra-field analyses have advanced
statistics for a better understanding of the parcel’s 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 photo

Plant Water Content

Charts for an active irrigation system

Click the charts for more statistics photo

Chlorophyll Content

Charts for an active irrigation system

Click the charts for more statistics photo

Overall

Charts for an active irrigation system

Click the charts for more statistics photo

Evolution Crop Health

Charts for an active irrigation system

Click the charts for more statistics photo

Evolution Plant Water Content

Charts for an active irrigation system

Click the charts for more statistics photo

Evolution Chlorophyll Content

Charts for an active irrigation system

Click the charts for more statistics photo

Plant Water Content

Charts for an active irrigation system

Click the charts for more statistics photo

Crop Health

Charts for an active irrigation system

Click the charts for more statistics photo

Chlorophyll Content

Charts for an active irrigation system

Click the charts for more statistics photo

Overall

Charts for an active irrigation system

Click the charts for more statistics photo

Evolution Crop Health

Charts for an active irrigation system

Click the charts for more statistics photo

Evolution Plant Water Content

Charts for an active irrigation system

Click the charts for more statistics photo

Evolution Chlorophyll Content

Charts for an active irrigation system

Click the charts for more statistics photo