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CCDR development plan #11

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20 of 39 tasks
matamadio opened this issue Oct 10, 2022 · 2 comments
Open
20 of 39 tasks

CCDR development plan #11

matamadio opened this issue Oct 10, 2022 · 2 comments
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enhancement New feature or request help wanted Extra attention is needed

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@matamadio
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matamadio commented Oct 10, 2022

See also Trello board

OBJECTIVES

Updated 07/2023

More efficient spatial processing to work on large countries at high resolution, with better user control on the input data and integrated output presentation. Align the climate indices to new CCKP service features.

NEW TOOL FEATURES

  • Code optimisation, data splitting and parallel processing
  • Uniformed interface with more user customisation
  • Risk Dashboard
  • Direct API access to data where allowed

DATA UPDATE

Hazard geodata

  • Full-range probabilistic analisys (all RPs considered)
  • Flood:
    • Damage to crops: check paper
    • Framework for geostatistical model comparison (i.e. quick maps and charts)
  • Coastal flood
    • New deltares model 90 m (via STAC catalogue)
  • Drought:
  • Heat
    • New global layers proposed to be developed by Vito
    • switch to or add the UTCI. New Copernicus dataset
  • Air pollution
  • Explore any useful stuff in the Planetary data catalogue

Exposure geodata

Vulnerability

Poverty

  • Poverty data: compare DHS, RWI and census-based indices
  • New Poverty Mapping by UNICEF AI4D

Climate indices

Past disasters

Analytical approach

  • Investigate GEE potential for cloud processing

Data presentation

  • Risk dashboard
@matamadio matamadio added enhancement New feature or request help wanted Extra attention is needed labels Oct 10, 2022
@matamadio matamadio pinned this issue Oct 10, 2022
@matamadio
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We are asked to cover countries as large as India using high resolution dataset, down to 10m.
To be able to respond, we need to make the code more robust and efficient, using parallelization.
This might affect the chance to make it work as a collab application.

@matamadio
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matamadio commented Oct 17, 2022

Parallelization WORKS on Linux and Win! Thanks @artessen and @ConnectedSystems for this magic!
Remaining issues to be solved in #13

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