adding new fig for readme

Author: gbrencher

glacier_image_correlation/README.md

@@ -6,6 +6,8 @@ This set of Github Actions workflows allows you to measure horizontal glacier su
 ## Usage
 We use three workflows to batch process image pairs for glacier surface velocity. For demonstration purposes the workflows are only set up to work over the [Yazghil Glacier](https://earth.google.com/earth/d/1myewNJrDEM0tW1_xdpWCYaRCGDcOBwiy?usp=drive_link) in Pakistan. To run the workflows, simply fork this repository, visit the "Actions" tab, and choose the `batch_image_correlation` workflow (which runs the other two workflows as well). 
 
+![plot](./images/workflow_diagram.png)
+
 ### 1. `image_correlation_pair`
 This workflow calls a Python script (image_correlation.py) that runs autoRIFT on a pair of spatially overlapping [Sentinel-2 L2A](https://docs.sentinel-hub.com/api/latest/data/sentinel-2-l2a/) images. It requires the [product names](https://sentiwiki.copernicus.eu/web/s2-products) of the two images. The images are downloaded from aws using the [Element 84 Earth Search API](https://element84.com/earth-search/). Only the near infrared band (NIR, B08) is used which has a spatial resolution of 10 m. autoRIFT is used to perform image correlation. Search distances are scaled with temporal baseline assuming a maximum surface velocity of 1000 m/yr, so images acquired farther apart in time take longer to process. Surface velocity maps are saved as geotifs and uploaded as [Github Artifacts](https://docs.github.com/en/actions/using-workflows/storing-workflow-data-as-artifacts). 
 

glacier_image_correlation/images/workflow_diagram.png

@@ -37,6 +37,37 @@
     "import dask"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "5e29df75-0cc3-4a3a-be88-e033efcae477",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test = '10'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "056d94b6-f173-489b-b43a-fec10d59bf6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10.0"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "float(test)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "4d85ece7-e479-4e7e-8bf1-ade9d71734e7",
@@ -1806,9 +1837,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "image-correlation",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "image-correlation"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1820,7 +1851,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,