Africa Rangeland Watch (ARW) was designed and developed by Conservation International (CI) and is aimed at monitoring rangeland impact. ARW empowers users to quantify land-use and climate impacts on rangelands over time and space, based on remotely sensed satellite imagery supplemented by ground-based rangeland monitoring.
3.1) As a user, I want to perform streamlined methods of analysis, so I can work quickly and trust the analysis outputs.
Acceptance Criteria:
3.1) The system should allow for quick baseline average, temporal, spatial and BACI analysis (the user defines the before and after years for this indicator) with near-real-time results.
3.2) Users must be able to select, configure, and run analysis tools with simple and concise steps.
3.3) The analysis tool must provide near real-time feedback on process status.
3.4) Results are clearly displayed, including error handling and logs for failed analyses.
3.5) Analysis outputs must be reproducible and adhere to predefined standards.
meomancer
commented
1 week ago
@meomancer please make the analysis panel and functionality
the analysis need to be the same as those available here: https://ee-yekelaso1818.projects.earthengine.app/view/african-rangeland-watch and documented here: https://docs.google.com/document/d/1SH5SA3-B16bUPLsp0CH86R9I2EN59oJf7eSeWnpLWnk/edit
there will be some additions to these.
This ticket addresses:
User Story 3: Streamlined Analysis Tools
Expectation:
3.1) As a user, I want to perform streamlined methods of analysis, so I can work quickly and trust the analysis outputs.
Acceptance Criteria:
3.1) The system should allow for quick baseline average, temporal, spatial and BACI analysis (the user defines the before and after years for this indicator) with near-real-time results. 3.2) Users must be able to select, configure, and run analysis tools with simple and concise steps. 3.3) The analysis tool must provide near real-time feedback on process status. 3.4) Results are clearly displayed, including error handling and logs for failed analyses. 3.5) Analysis outputs must be reproducible and adhere to predefined standards.