[gdal-dev] Serve COG images - GEE & Google Cloud Storage
michael.smith.erdc at gmail.com
Fri Sep 4 05:38:14 PDT 2020
Another option is a fuse level driver that maps cloud storage to a drive path.
US Army Corps of Engineers
Remote Sensing/GIS Center
From: gdal-dev <gdal-dev-bounces at lists.osgeo.org> on behalf of Travis Kirstine <traviskirstine at gmail.com>
Date: Friday, September 4, 2020 at 8:35 AM
To: gdal dev <gdal-dev at lists.osgeo.org>
Subject: Re: [gdal-dev] Serve COG images - GEE & Google Cloud Storage
There is a good article here on how to do this using MapServer and S3, this may work for Google as well
You can configure MapServer as a WMS server and add the layers to Open Layers or take the extra step and configure MapCache to generate a tiled output and caching using your WMS as source
On Fri, 4 Sep 2020 at 03:01, Even Rouault <even.rouault at spatialys.com> wrote:
Not sure this completely answer your question, but GDAL has gained a
Google Cloud Storage virtual file system handler similar
to the AWS S3 one since the post you mention.
> In this article, I came across about servicing rasters on AWS S3:
> , https://lists.osgeo.org/pipermail/gdal-dev/2015-October/042975.html
> I am trying to see if something similar exists for Google? I'm exporting
> COG from Google Earth Engine (GEE) to a Google Cloud Storage bucket in the
> hopes to access and serve it with other layers using GeoServer or create
> tile map services. I've many dates and many products (true color, false
> color, ndvi) for many sites. So I'm not sure what's the best way to serve
> them. I tried researching online, asking in StackExchange, GeoServer and
> GEE forums and reaching out to a few people, but I couldn't get specific
> info... Most info is on AWS and S3...
> My requirement is to somehow get the images of "GEE to bucket" exported
> export to my Drive or a GCP bucket. So serving from GEE to GCP to S3 means
> some download, unzip, zip and upload - so more time consuming and manual
> steps. In my experience, AWS was costly (as my EC2 runs all the time) than
> a VPS server...
> I'll appreciate your help. Thank you!
Spatialys - Geospatial professional services
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