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

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Internati<strong>on</strong>al GEO Workshop <strong>on</strong> <str<strong>on</strong>g>SAR</str<strong>on</strong>g> <str<strong>on</strong>g>to</str<strong>on</strong>g> <str<strong>on</strong>g>Support</str<strong>on</strong>g> <str<strong>on</strong>g>Agricultural</str<strong>on</strong>g> M<strong>on</strong>i<str<strong>on</strong>g>to</str<strong>on</strong>g>ring<br />

• “The last point is the most important! 1 ”<br />

Table 9 Fac<str<strong>on</strong>g>to</str<strong>on</strong>g>rs that Encourage Greater Operati<strong>on</strong>al Use of <str<strong>on</strong>g>SAR</str<strong>on</strong>g> Data<br />

Influence existing and new <str<strong>on</strong>g>SAR</str<strong>on</strong>g> sensor development by<br />

documenting the requirements of the agriculture community<br />

with respect <str<strong>on</strong>g>to</str<strong>on</strong>g>:<br />

• Spatial resoluti<strong>on</strong><br />

• Spatial coverage<br />

• Temporal revisit/re-look<br />

• Data latency/delivery<br />

• <str<strong>on</strong>g>SAR</str<strong>on</strong>g> sensor parameters (frequency, polarizati<strong>on</strong>s, angles) 265<br />

Document best practices or approaches <str<strong>on</strong>g>to</str<strong>on</strong>g> designing area<br />

sample frameworks, data pre-processing and processing,<br />

methods and accuracy assessments related <str<strong>on</strong>g>to</str<strong>on</strong>g> <str<strong>on</strong>g>SAR</str<strong>on</strong>g> and<br />

agriculture 251<br />

Encourage internati<strong>on</strong>al space agencies <str<strong>on</strong>g>to</str<strong>on</strong>g> c<strong>on</strong>sider data<br />

exchanges <str<strong>on</strong>g>to</str<strong>on</strong>g> meet the needs of the agriculture community 246<br />

Develop a c<strong>on</strong>sensus <strong>on</strong> data policy needs for agriculture and<br />

design a strategy <str<strong>on</strong>g>to</str<strong>on</strong>g> negotiate liberal data policies 239<br />

Coordinate data procurement <str<strong>on</strong>g>to</str<strong>on</strong>g> take advantage of ec<strong>on</strong>omies<br />

of scale 221<br />

Create an internati<strong>on</strong>al team <str<strong>on</strong>g>to</str<strong>on</strong>g> assess interoperability am<strong>on</strong>g<br />

sensors and <str<strong>on</strong>g>to</str<strong>on</strong>g> design approaches <str<strong>on</strong>g>to</str<strong>on</strong>g> inter-calibrate am<strong>on</strong>g<br />

sensors 220<br />

Encourage the creati<strong>on</strong> of <str<strong>on</strong>g>SAR</str<strong>on</strong>g> satellite c<strong>on</strong>stellati<strong>on</strong>s <str<strong>on</strong>g>to</str<strong>on</strong>g><br />

improve data c<strong>on</strong>tinuity, revisit, provide c<strong>on</strong>sistency and<br />

prevent redundancy 133<br />

1 However, the last point scored lowest! Some of the surveys that were sent out unfortunately did not allow<br />

the resp<strong>on</strong>dents <str<strong>on</strong>g>to</str<strong>on</strong>g> enter a score for the last row, and this may explain the low score.<br />

Report <strong>on</strong> Results: Survey <strong>on</strong> <str<strong>on</strong>g>SAR</str<strong>on</strong>g> <str<strong>on</strong>g>to</str<strong>on</strong>g> <str<strong>on</strong>g>Support</str<strong>on</strong>g> <str<strong>on</strong>g>Agricultural</str<strong>on</strong>g> M<strong>on</strong>i<str<strong>on</strong>g>to</str<strong>on</strong>g>ring – Annex 1 28

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