From 4898a48d5492a40f52afec298ca1b4034a50eef7 Mon Sep 17 00:00:00 2001 From: Matt Fisher Date: Thu, 4 Dec 2025 13:38:33 -0700 Subject: [PATCH] Fixup links to old workshop URL --- modules/02-interactive-viz/index.ipynb | 2 +- modules/03-integrating-ai/index.ipynb | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/modules/02-interactive-viz/index.ipynb b/modules/02-interactive-viz/index.ipynb index 1529a6c..4e3eb7f 100644 --- a/modules/02-interactive-viz/index.ipynb +++ b/modules/02-interactive-viz/index.ipynb @@ -11,7 +11,7 @@ "\n", "## Introduction\n", "\n", - "This notebook is for the workshop ([Open Source Geospatial Workflows in the Cloud](https://geojupyter.github.io/workshop-open-source-geospatial)) presented at the [AGU Fall Meeting 2025](https://agu.confex.com/agu/agu25/meetingapp.cgi/Session/252640).\n", + "This notebook is for the workshop ([Open Source Geospatial Workflows in the Cloud](https://agu2025.workshops.geojupyter.org/)) presented at the [AGU Fall Meeting 2025](https://agu.confex.com/agu/agu25/meetingapp.cgi/Session/252640).\n", "\n", "### Learning Objectives\n", "\n", diff --git a/modules/03-integrating-ai/index.ipynb b/modules/03-integrating-ai/index.ipynb index ea1352c..0375688 100644 --- a/modules/03-integrating-ai/index.ipynb +++ b/modules/03-integrating-ai/index.ipynb @@ -11,7 +11,7 @@ "\n", "## Introduction\n", "\n", - "This notebook is for the workshop ([Open Source Geospatial Workflows in the Cloud](https://geojupyter.github.io/workshop-open-source-geospatial)) presented at the [AGU Fall Meeting 2025](https://agu.confex.com/agu/agu25/meetingapp.cgi/Session/252640).\n", + "This notebook is for the workshop ([Open Source Geospatial Workflows in the Cloud](https://agu2025.workshops.geojupyter.org/)) presented at the [AGU Fall Meeting 2025](https://agu.confex.com/agu/agu25/meetingapp.cgi/Session/252640).\n", "\n", "**GeoAI** represents the intersection of geospatial science and artificial intelligence, combining the power of machine learning with geographic information systems (GIS) to analyze, understand, and predict spatial patterns. This rapidly growing field enables us to extract meaningful insights from satellite imagery, aerial photos, and other geospatial datasets at unprecedented scales and accuracy levels.\n", "\n",