MOCCCASIN: MOnitoring Crops in Continental Climates through Assimilation of Satellite INformation
Information on the outlook of yield and production of crops over large regions is essential for government services, food relief agencies, and international organizations monitoring the world food production and trade. The MOCCCASIN project aimed to improve monitoring of winter-wheat in regions with high risk of frost damage, through modelling and assimilating satellite information. An intensive field campaign in the Tula region of Russia was carried out successfully during the 2011 and 2012 growing seasons and the main results were:
1. a database is available containing observations of winter-wheat growing under actual field conditions
2. an overview of existing approaches for winter wheat recognition using Earth observation data was carried out. The most accurate and reliable for Russia, were based on time-series analysis and adaptive maximum likelihood classification
3. the results from the biophysical variable retrieval from MODIS satellite seem to be not as stable and operationally applicable
4. some new modules (eg FROSTOL model for simulated wheat cold tolerance and damage due to frost; see http://onlinelibrary.wiley.com/doi/10.1111/jac.12187/full) for WOFOST crop simulation model (http://onlinelibrary.wiley.com/doi/10.1111/j.1475-2743.1989.tb00755.x/e…) have been successfully implemented, calibrated/validated and applied
See also: https://smart-akis.com/SFCPPortal/#/app-h/technologies?techid=85
Smart-AKIS: European Agricultural Knowledge and Innovation Systems (AKIS) towards innovation-driven research
in Smart Farming Technology
Ongoing | 2016-2018
in Smart Farming Technology
- Main funding source
- Horizon 2020 (EU Research and Innovation Programme)
- Geographical location
- Greece