In-season Potential Score🔗
📖 Overview🔗
The In-season Potential Score analytic provides an indicator of the in-season potential score in comparison to the past years, based on cumulative NDVI (Normalized Difference Vegetation Index). It serves as a benchmark to compare field performance across different areas within a region or across previous years.
The figure below illustrates the expected NDVI development for a typical annual grain crop. The analytic transforms the NDVI time series into a potential score, enabling comparisons between fields in the same region or across historical seasons.
🗂️ Baseline Data🔗
- NDVI MR/LR Time Series
⚙️ API Access🔗
⚙️ Parameters & Variables🔗
General Parameters🔗
| Parameter | Variable Name | Description | Type |
|---|---|---|---|
| ID | id |
EarthDaily Agro internal ID | string |
| Geometry | geometry |
Geometry of the Area of Interest (WKT format) | string |
| Historical Seasons (Optional) | historicalSeasons |
List of years to compute historical potential and risk scores (e.g., [2022, 2021, 2019]) |
List[int] |
Input Parameters🔗
| Parameter | Variable Name | Description | Type |
|---|---|---|---|
| Season Duration | seasonDuration |
Duration of the season in days | int |
| Season Start Day | seasonStartDay |
Start day of the season (1–31) | int |
| Season Start Month | seasonStartMonth |
Start month of the season (1–12) | int |
| Number of Historical Years | numberHistoricalYears |
Number of years used for the comparison to historical data | float |
| Threshold | threshold |
NDVI threshold (e.g., 0.7) |
float |
| End Date (Optional) | end_date |
Date until when the score is computed. If None, end_date will be today. | datetime |
| Data Source (Optional) | dataSource |
Data resolution: LR or MR. Defaults to LR |
string |
| Crop (Optional) | crop |
Crop code | string |
Output🔗
| Output | Variable Name | Description | Type |
|---|---|---|---|
| Historical Potential Score | historical_potential_score |
Mean potential score over the last five years | double |
| In-season Potential Score | inseason_potential_score |
In-season potential score | double |
| Relative Potential Score | relative_potential_score |
Percentage of potential compared to historical data | double |
| ID | id |
EarthDaily Agro internal ID | string |
📊 Performance and Accuracy🔗
- Tested Crops: Corn and Soybeans
- Tested Regions: Brazil
- Average Generation Time: < 1 second
📜Rules for Defining Historical Periods🔗
Use Cases🔗
This analytic is used in:
Glossary🔗
| Term | Description |
|---|---|
| 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. |
| MR / LR | Image resolutions: MR (Medium Resolution) and LR (Low Resolution). Define the spatial detail level of the NDVI data used. |
| Season Duration | Duration of the crop season, in days, used to calculate cumulative NDVI. |
| Season Start Day / Month | Day and month marking the beginning of the crop season. Define the starting point for NDVI accumulation. |
| Threshold | NDVI value used as a cutoff to determine relevant vegetative activity. |
| End Date | Date until which the in-season NDVI is accumulated. |
| Potential Score | Indicator of the productive potential of an area based on cumulative NDVI during the season. |
| Historical Potential Score | Mean of potential scores from previous seasons. |
| In-season Potential Score | Cumulative NDVI-based score for the current season up to the specified end date. |
| Relative Potential Score | Ratio (in %) of in-season score to historical potential score. |
| WKT (Well-Known Text) | Standard format for representing spatial geometries such as polygons, points, and lines. |
| AOI (Area of Interest) | User-defined area for analysis. |
Test Section🔗
WKT (Well-Known Text)🔗
Standard format for representing spatial geometries such as polygons, points, and lines.
This is for low resolution data (1)
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WKT (Well-Known Text)🔗
Standard format for representing spatial geometries such as polygons, points, and lines.