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Emergence Detection🔗

📖 Overview🔗

The emergence detection analytic identifies the beginning of the crop development by analyzing time series of the vegetation index NDVI (1). Using this data, it calculates both the growth rate and the acceleration of the NDVI curve. Emergence is detected when the NDVI exceeds a defined minimum threshold and demonstrates consistent, accelerating growth over a continuous period. The algorithm validates this behavior using predefined criteria and records the corresponding date as Emergence Date (2). It also reports whether emergence was detected (EmergenceStatus) and which detection method was applied (ConfirmationStatus). The process is fast, robust, and adaptable to various crops and geographic regions.

  1. NDVI (Normalized Difference Vegetation Index)🔗

    Index that measures vegetation health based on visible and near-infrared light reflectance. Values range from -1 to 1, with higher values indicating denser, healthier vegetation.

  2. Emergence Date🔗

    The date when crop emergence was detected, used as a reference for planted area computation.

🗂️ Baseline Data🔗

The analytic uses NDVI (1) time series data available at both LR (2) and MR (3) resolutions to detect crop emergence dates across various agricultural regions.

  1. NDVI (Normalized Difference Vegetation Index)🔗

    Index that measures vegetation health based on visible and near-infrared light reflectance. Values range from -1 to 1, with higher values indicating denser, healthier vegetation.

  2. LR images🔗

    Image resolutions: MR (Medium Resolution) and LR (Low Resolution). Define the spatial detail level of the NDVI data used.

  3. MR images🔗

    Medium Resolution imagery are satellite optical images with a resolution ranging from 10m to 30m.

⚙️ API🔗

⚙️ Parameters & Variables🔗

Input Parameters🔗

Parameter Variable Name Description Type
id id (optional) EDA internal ID of the area of interest string
geometry geometry Geometry of the area of interest (WKT format) string
crop crop (optional) Crop code of the area of interest (must match available crop list) string
seasonDuration seasonDuration Duration of the season, in days integer
seasonStartDay seasonStartDay Start day of the season (1–31) integer
seasonStartMonth seasonStartMonth Start month of the season (1–12) integer
dataSource dataSource (optional) Data resolution: LR (Low Resolution) or MR (Medium Resolution); default is LR string

Output Variables🔗

Parameter Variable Name Description Type
EmergenceDate EmergenceDate Detected emergence date (can be null if not detected) datetime
EmergenceStatus EmergenceStatus Indicates whether emergence was detected boolean
ConfirmationStatus ConfirmationStatus Indicates which algorithm was used for detection string

📊 Performance and Accuracy🔗

  • Tested Crops:

    • Soybeans
    • Corn
    • Wheat
    • Malting Barley

  • Tested Regions:

    • Brazil
    • United States
    • Ireland
    • Russia
    • France

  • Average Generation Time: < 1 second per field

💼 Use Case and Product Integration🔗

This analytic is used in:

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