Cropland Management at National and Regional level

Categories: Crop Monitoring

Cropland Management at National and Regional level

Intro
Sufficient food production is the outcome of successful Cropland Management planning and execution and the evidence-based decision making plays important role for achieving it. EO-derived Services such as the Crop Condition Monitoring, support the evidense-based decision making by providing crucial information on the Crops' status effectively and for large areas.

The User Story:
As an officer at the ministry of agriculture the user shall have access to current crops' condition and to seasonal climate forecast with focus on drought events, so that the he/she can assess the current status of the food production and plan any actions in case of forthcoming drought pressure.


The Services:

A. Crop Condition Monitoring
B. Seasonal Climate Forecast
C. Drought Early Warning


A. Crop Condition Monitoring (1/2) - WebGIS


The crop condition products provide information about the status of vegetation and crops. Crop condition is assessed either directly through the use of vegetation indices such as NDVI and LAI or by using indicators like Vegetation Condition Index (VCI) which compares the current NDVI value to the range of values observed in the same period in previous years.

Data Products

- NDVI at 300m

- LAI at 300m

- VCI at 1km


A. Crop Condition Monitoring (2/2) - Spatial Analytics Tool

Spatial Analytics Tool provides with a plethora of data visualization options where various types of data can be presented in single of multiple visualization configurations called Dashboards. Among various visualizations (histograms, bar charts, pie charts and more) tabular data can be aggregated for administrative regions and presented in maps.

Historical annual NDVI for each administrative region.
The following Dashboard includes historical data (year 2018) of annual mean NDVI for each administrative region (map) together with the NDVI annual fluctuation at the greenest, and at the least green regions of the country (greenness according to mean annual NDVI).


B. Seasonal Climate Forecast

Seasonal Climate Forecast aims to obtain the climate conditions for the next season/months as given by the monthly precipitation and temperatures. To this aim, together with the monthly value the probability for each tercile, reflecting lower than normal, normal and above than normal conditions, is provided for the next season.

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Data Products

Precipitation

-Seasonal Precipitation Amount (mm)

-Seasonal Precipitation Amount Anomaly (mm)

-Precipitation Amount, 1st, 2nd, 3rd Tercile Probability


Temperature

-Seasonal 2m Air min, max, mean Temperature (Celsius)

-Seasonal 2m Air min, max, mean Temperature Anomaly (Celsius)

-Seasonal 2m Air min, max, mean Temperature (Celsius), 1st, 2nd, 3rd Tercile Probability


C. Drought Early Warning

Drought forecast aims at providing timely information on forthcoming drought events and contribute in preparation, management for reducing their impact.

To this aim, the Potential Evapotranspiration (PET) and the lag 1 Standardized Precipitation - Evapotranspiration Index (SPEI) are obtained each month which can be used in addition with the meteorological parameters for scientific studies and assessments, helping decision makers on the definition of proper adaptation measures to ensure food security and environmental sustainability.

Data Products

Evapotranspiration

-Potential Evapotranspiration

-Potential Evapotranspiration Anomaly

-Potential Evapotranspiration 1st, 2nd, 3rd Tercile Probabilities

-1-month Standardized Precipitation Evapotranspiration Index 1st, 2nd, 3rd Tercile Probabilities

-1-, 3-, 12-, 48-month Standardized Precipitation Evapotranspiration Index

-Combined Drought Index (0:Watch, 1:Warning, 2:Alert, 3:Partial Recovery, 4:Full Recovery)