Water level, and new dataset

[sudecki30]

Hi,

To beginning, thanks for your amazing tool. I have to proposal to do to you :

• set an offset (negative value) for water level, if you use it on island, you can't delimitate where is water if you do not that.
• use this dataset : - https://www.data.gouv.fr/fr/datasets/modeles-numeriques-de-terrain-mnt-des-iles-de-la-polynesie-francaise/#/resources
  - https://opengeohub.org/datasets/european-digital-terrain-models-eu-dtm/

Thanks you so much.
(I have tried with your python code, but data has not always same coordinate reference so I was lost)

[ChHarding]

You can get this effect by using the lower_leq manual setting. To lower any cells less or equal 0 by 2 mm use: "lower_leq":[0, 2] Here's a longer explanation from the ReadMe: lower_leq: Given a list in the format [threshold, offset], all cells less than or equal to threshold will be lowered by the offset. This helps with giving emphasis to coastlines. The offset is in mm with respect to the final mesh size. Unaffected by zscale. Re your DEM dataset: For the web app it has to be available as a Google Earth Engine dataset here: https://developers.google.com/earth-engine/datasets/tags/dem There is a 1m DEM for mainland France (https://developers.google.com/earth-engine/datasets/catalog/IGN_RGE_ALTI_1M_2_0) which I will add to the web app soon but it doesn't include overseas terretories So you get the standalone version to run, is this on your local PC or using docker. What was the issue with the projections? Assuming you have a geotiff, just use QGIS to project in into UTM. Cheers Chris

…

________________________________________ From: sudecki30 ***@***.***> Sent: Wednesday, May 8, 2024 9:12 AM To: ChHarding/TouchTerrain_for_CAGEO Cc: Subscribed Subject: [ChHarding/TouchTerrain_for_CAGEO] Water level, and new dataset (Issue #93) Hi, To beginning, thanks for your amazing tool. I have to proposal to do to you : * set an offset (negative value) for water level, if you use it on island, you can't delimitate where is water if you do not that. * use this dataset : - https://www.data.gouv.fr/fr/datasets/modeles-numeriques-de-terrain-mnt-des-iles-de-la-polynesie-francaise/#/resources - https://opengeohub.org/datasets/european-digital-terrain-models-eu-dtm/ Thanks you so much. (I have tried with your python code, but data has not always same coordinate reference so I was lost) — Reply to this email directly, view it on GitHub<#93>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AEYDF5NDVNOWE7CO5SWQ7BTZBIXDJAVCNFSM6AAAAABHNB24ZSVHI2DSMVQWIX3LMV43ASLTON2WKOZSGI4DKNZRGE2DKNQ>. You are receiving this because you are subscribed to this thread.Message ID: ***@***.***>

[sudecki30]

You can get this effect by using the lower_leq manual setting. To lower any cells less or equal 0 by 2 mm use: "lower_leq":[0, 2] Here's a longer explanation from the ReadMe: lower_leq: Given a list in the format [threshold, offset], all cells less than or equal to threshold will be lowered by the offset. This helps with giving emphasis to coastlines. The offset is in mm with respect to the final mesh size. Unaffected by zscale.>

Sorry I have used the web version, not the stadalone. Sorry to have not read the ReadMe :-(

Re your DEM dataset: For the web app it has to be available as a Google Earth Engine dataset here: https://developers.google.com/earth-engine/datasets/tags/dem There is a 1m DEM for mainland France (https://developers.google.com/earth-engine/datasets/catalog/IGN_RGE_ALTI_1M_2_0) which I will add to the web app soon but it doesn't include overseas terretories So you get the standalone version to run, is this on your local PC or using docker. What was the issue with the projections? Assuming you have a geotiff, just use QGIS to project in into UTM. Cheers Chris>

Exactly the projections is not the same of google. Cool if google integrate it. (I have not followed this point since I have seen this data on geoportail.) France gouvernement have a create an apps as you but you need to paid for 5m resolution and with a limit of 50 km²... (https://topoexport.com/)

For overseas it less important, because all dataset are separate, so you dont need to cut or join data.

Sorrry to have distrib you, and thank you for your work.

Guillaume