(SAR) to Support Agricultural Monitoring 2 - Group on Earth ...

LAND MANAGEMENT
Break-out 1 & 2
Science & Operational Challenges
Improvements Needed <strong>to</strong> Make Greater Use
of <strong>SAR</strong> Data –Science & Operational
1. Reduced data cost / Improved data policies (e.g. data sharing)** –
Subsidize data <strong>to</strong> enable free / reduced cost data distribution –
Identify / secure funding <strong>to</strong> pay for data / services; look at existing
user payment models such as in met community; coordinate
exchanges between agencies; User community communicates /
lobbies data needs <strong>to</strong> space agencies –Operational centers
requiring data, user Govt agencies; Ag CoP (17)
2. Lack of training opportunities (at different levels) and awareness –
Access <strong>to</strong> and development of training courses; online courses /
materials; combination of regional / local workshops; ‘training of
trainers’; GEO disseminates training opportunities; greater access <strong>to</strong>
software –GEO, CEOS, Universities (12)
3. Improved availability of models or methods <strong>to</strong> derive information
from data (Lack of best practices re: potential applications of <strong>SAR</strong>) –
Interoperability between software makers; development of widely
available algorithms (e.g. in commercial packages) more research in
developing new, valid algorithms - Ag CoP, Universities (11)
4. Reduce gap between research & operational users** –Closer
interactions between research / operational communities; financial
support for converting research in<strong>to</strong> operations; outreach <strong>to</strong>
decision-makers; development of widely available algorithms (e.g. in
commercial packages) –Lobby govts <strong>to</strong> develop policies <strong>to</strong>
transition research in<strong>to</strong> operations –Donor agencies, Governments
(11)