FAO Uses Airbus Imagery to Estimate Rice

Despite more than 379,100 km² of agricultural land, Afghanistan remains in food deficit. Rice is one of the three main food crop sources in the country. Monitoring rice crops using satellite imagery is therefore essential to ensure sustainable food and feed production for future generations. The Food and Agriculture Organisation (FAO) and Airbus are working together to obtain rice crop area estimation and create rice crop masks.

Challenge

Our solution

Benefits

Organisations involved

Challenge

In a desert country such as Afghanistan, food production is highly sensitive to climatic conditions.

For organisations like FAO, assessing the extent of irrigated crops such as rice is critical to calculate food security and anticipate any shortages.

However, determining rice surfaces cannot rely on traditional ground surveys alone, as fields are numerous, often small and scattered across the landscape.

Our solution

FAO developed a crop calendar, outlining the unique pattern of the rice growth cycle.

Based on this calendar, they then gathered satellite imagery over seven provinces, at key dates throughout the rice cycle.
Pléiades and SPOT images were collected before and after the harvest, in order to delineate parcels and establish homogeneous areas:

Optimise sampling, minimise ground surveys and maximise efficiency
Perform rice classification, with additional time-series based on Sentinel 1, Sentinel 2 and Landsat 8 earlier in the season.

As a result, the rice crop area was successfully estimated with less than a 10% error rate. They even achieved an accuracy of 96% in one particular province.

Benefits

The use of our satellite imagery, together with complementary free data sources allowed FAO to substantially reduce production costs of crops statistics, while maintaining the highest quality standards:

Increased reliability of the produced statistics
Reduced risk for ground surveying
Improved cost-efficiency.

Organisations involved

Airbus satellite imagery has been successfully supporting the work of FAO since the launch of SPOT 1 in the late 1980’s. It has helped to define a national agricultural policy, managing food security, dealing with illegal agriculture, optimising irrigation and pest prevention, depending on each local specific need.

Gianluca Franceschini

Technical Coordinator of Geospatial Unit, Climate, Biodiversity, Land & Water Department - UNFAO

Want to know more?

Our sales team will be happy to provide you more information about this case study and how it can meet your business needs.

See all our case studies

See all

Forestry and Environment

Pléiades

Alianza Team uses Starling to Assess Peatlands and Forests Across their Palm Oil Supply Chain

In line with their goal of achievening a deforestation-free agricultural supply chain by 2025 – and in alignment with their NDPE (No Deforestation, No Peatland Expansion, and No Exploitation of People and Communities) – Alinaza Team partnered up with Starling and Earthworm Foundation to assess the current state and potential risks linked to forest and peatland conservation practices in both their current and future palm oil supply chain.

Oil, Gas, Mining and Energy

Pléiades Neo

Stantec Utilizes Airbusʼ Pléiades Neo HD15 Product to Detect Hazardous Pipeline Right-of-Way Encroachments

Stantec needed to enhance their existing pipeline monitoring service, PipeWATCH, to detect physical encroachments by third parties along a high-pressure underground pipeline in a densely populated area of Southern Ontario.

Resilience and Crisis Response

Radar Constellation

Flood Management in Brazil with WorldDEM™ Neo DTM

The Geological Survey of Brazil (GSB) aims to forecast river levels during floods and droughts.

Thanks to our WorldDEM Neo Digital Terrain Model (DTM), GSB used in conjunction WorldDEM Neo with SAR data to visualize the damages caused by one of the largest floods ever experienced in Brazil.