FAO Webinar Series: Earth observation data for agricultural statistics
Virtual Event, 08/03/2023 - 10/05/2023
©FAO
The EOSTAT webinar series also discussed the main innovations introduced in the field of EO based crop statistics implemented by FAO through R&D and testing in countries in collaboration with the academia.
These include:
1) Standardization of EO methods to produce annual land cover/use maps
2) Crop type mapping in the context of in-situ data scarcity
3) Coupling of EO data with physical based crop yield modelling
Moreover, the series shed light on how the innovations brought by the EOSTAT offer a solution to overcome the challenges connected with the collection and predication of crop statistics (acreage and yield) using both traditional field survey-based methods and the EO based methods.
Finally, the webinar series provided a platform to enhance collaboration and potentially mobilize resources.
The FAO Webinar Series "Earth observation data for agricultural statistics" consisted of six webinar sessions. Simultaneous interpretation was provided in English and Spanish.
Session 1 (8 March 2023, 15:30 – 17:00) Recording (Passcode: =Y9v=5WF) | EOSTAT project overall presentation Organized jointly with the Global Network of Data Officers and Statisticians Speakers: Pietro Gennari, FAO & Lorenzo De Simone, FAO |
Session 2 (20 March 2023, 15:30 – 17:00) Recording (Passcode: 4L1vtay%) | Crop yield mapping and yield statistics Speaker: Lorenzo De Simone Guest: Prof. Bruno Basso, Michigan State University |
Session 3 (4 April 2023, 15:30 – 17:00) Recording (Passcode: f*v2Z^!n) | Crop type mapping and acreage Speaker: Lorenzo De Simone, FAO Guest: Sophie Bontemps, Université of Louvain |
Session 4 (13 April 2023, 15:30 – 17:00) Recording (Passcode: A2Y7&&Uu) | Standardized land cover classification for land cover statistics Speaker: Lorenzo De Simone, FAO Guest: William Ouellette, CEO at SoilWatch |
Session 5 (27 April 2023, 15:30 – 17:00) Recording | EO augmented survey design, in-situ data standards, and best practices in georeferencing Speaker: Lorenzo De Simone, FAO Guest: Sophie Bontemps, Université of Louvain |
Session 6 (10 May 2023, 15:30 – 17:00) Recording | Crop field boundaries mapping using machine learning and very high-resolution data Speaker: Lorenzo De Simone, FAO Guests: Sherrie Wang, MIT Lisa Rebelo, Digital Earth Africa |
For more information, please visit the FAO-EOSTAT project page.