Brainstorming

[HarryB05]

anuar menco - 17:34
Hola a todos, este es un mensaje automático para informarles que mi extensión Tactiq (https://tactiq.io/r/transcribing) está transcribiendo esta reunión para que pueda brindarles toda mi atención.

Koen Vossen - 17:34
Link to the open data: https://github.com/statsbomb/open-data

Siggi Sigurdsson - 17:38
https://www.iceye.com/blog/iceye-interferometric-analysis-monitoring-potential-volcanic-eruption-in-iceland

argee sn - 17:39
there is example solara app using sat images Morocco earthquake destruction seen from space with Maxar Open Data on #AWS
Web app: https://huggingface.co/spaces/giswqs/solara-maxar
GitHub: https://github.com/opengeos/solara-maxar
Data catalog: https://github.com/opengeos/maxar-open-data

argee sn - 17:45
A long tutorial on GIS generally, https://www.qgistutorials.com/en/#

argee sn - 17:46
https://panel.holoviz.org/

argee sn- 17:48
https://solara.dev/docs/deploying/self-hosted

argee sn - 17:56
https://hydrafloods-servir.adpc.net/

Siggi Sigurdsson - 17:56
https://www.sentinel-hub.com/

argee sn - 17:56
https://github.com/Servir-Mekong/hydra-floods

argee sn - 18:00
https://github.com/google/Xee
https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S1_GRD

argee sn- 18:04
https://servir-mekong.github.io/hydra-floods/getting-started/

Bruno Parente - 18:08
https://www.nature.com/articles/s41597-020-0443-5

sar flood detection

[brunoparente93]

This is the library that we should use to perform our analysis with the Google Earth engine. All the functions are very well documented with Jupyter notebooks and YouTube videos:

https://geemap.org/notebooks/00_ee_auth_colab/

[nishadhka]

Would like to add two potential topic to consider,

1. Solara date picker + Satellite imagery in COG provided by AWS lambda function https://developmentseed.org/titiler/. The satellite imagery can be from https://gpm.nasa.gov/data/visualization/global-viewer, with visualization inspiration. With the Solaratho+Titler setup, the long term daily visualization of rainfall data can be designed.
2. Solara + https://github.com/developmentseed/lonboard Jupyter widget for vector visualization for global building data visualzaiton

[brunoparente93]

@nishadhka very nice library! Can you participate in the meeting today via google meetings?