FAO Uses Airbus Imagery to Estimate Rice
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.
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.
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.
See our products in action
The Ministry of Agriculture in Pakistan Uses Satellite Imagery from Suparco DRSSUPARCO, the executive and national space agency of Pakistan, is using satellite imagery for gathering of crop statistics on a countrywide basis. This system not only provides a temporal and synoptic view of the cropped area, but also delivers quick and precise crop statistics. The Agripak project aims to improve these statistics with land cover mapping, featuring crop acreage estimates.
Establishing One of the World’s Most Advanced Agricultural Information SystemsAs the 7th largest agricultural yielder in the world, the Republic of Turkey embraced the challenge to optimise its agriculture production. However, efficiently supporting farmers in their daily farming requires up-to date, reliable and precise information that is easy to understand and easy to access.
FAO Uses Airbus Imagery to Estimate RiceDespite 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.
- Pléiades Neo: The best of very-high resolution optical imagery
- Pléiades: Spot the detail thanks to our very-high resolution satellite imagery
- SPOT: The ideal solution for country-wide, demanding applications
- Agriculture market
- Institutional Agriculture: Supporting the modernisation of agricultural policies with timely and accurate geospatial insights
- Crop Analytics for Institutions: Our Crop Analytics for institutions delivers time series of satellite vegetation maps
- Basemap: When the stakes are high, start with the right foundation
Do you have a similar project you would like to realise?