Rename "IceFlow" -> "Altimetry Harmonization"

This distinguishes these notebooks from the iceflow library

Author: trey-stafford

README.md

@@ -57,7 +57,7 @@ The Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) proj
 
 The notebooks on this project demonstrate how to search and access ITS_LIVE velocity pairs and provide a simple example on how to build a data cube.
 
-### [IceFlow](./notebooks/iceflow)
+### [Altimetry_Harmonization](./notebooks/altimetry_harmonization)
 
 These Jupyter notebooks are interactive documents to teach students and
 researchers interested in cryospheric sciences about airborne altimetry and

notebooks/iceflow/.flake8 renamed to notebooks/altimetry_harmonization/.flake8

@@ -2,27 +2,29 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "jp-MarkdownHeadingCollapsed": true
+   },
    "source": [
     "<center>\n",
     "<img src='./img/nsidc_logo.png'/>\n",
     "\n",
-    "# **IceFlow**\n",
+    "# **Altimetry Harmonization**\n",
     "### Point Cloud Data Access\n",
     "</center>\n",
     "\n",
     "<div>\n",
     "<img align=\"right\" width=\"50%\" height=\"200px\" src='./img/vaex.png'/>\n",
     "</div>\n",
     "\n",
-    "# 1. IceFlow Introduction\n",
+    "# 1. Altimetry Harmonization Introduction\n",
     "\n",
     "This Jupyter notebook is  an interactive document to teach students and researchers interested in cryospheric sciences about airborne altimetry and related data sets from NASA’s [IceBridge](https://www.nasa.gov/mission_pages/icebridge/index.html) mission, and satellite altimetry data from [ICESat/GLAS](https://icesat.gsfc.nasa.gov/icesat/) and [ICESat-2](https://icesat-2.gsfc.nasa.gov/). Accessing and combining data from these different missions can be difficult as file formats and coordinate reference systems changed over time.\n",
     "\n",
     "\n",
     "## **1.1 Knowledge Requirements**\n",
     "\n",
-    "IceFlow notebooks are best approched with some familiarity with Python and its geoscience stack. If you feel like learning more about geoscience and Python, you can find great tutorials by CU Boulder's Earth Lab here: [Data Exploration and Analysis Lessons](https://www.earthdatascience.org/tags/data-exploration-and-analysis/) or by the Data Carpentry project: [Introduction to Geospatial Concepts](https://datacarpentry.org/organization-geospatial/)\n",
+    "These notebooks are best approched with some familiarity with Python and its geoscience stack. If you feel like learning more about geoscience and Python, you can find great tutorials by CU Boulder's Earth Lab here: [Data Exploration and Analysis Lessons](https://www.earthdatascience.org/tags/data-exploration-and-analysis/) or by the Data Carpentry project: [Introduction to Geospatial Concepts](https://datacarpentry.org/organization-geospatial/)\n",
     "\n",
     "Some Python packages/libraries that users may consider investigating include:\n",
     "\n",
@@ -78,7 +80,7 @@
     "<p align=\"center\">\n",
     "<img style=\"align: center;\" width=\"80%\" src='./img/iceflow-coverage.jpg'/>\n",
     "    <br>\n",
-    "    <b><center>Fig 2. IceFlow mission coverages</center></b>\n",
+    "    <b><center>Fig 2. mission coverages</center></b>\n",
     "</p>\n",
     "\n",
     "\n",
@@ -138,7 +140,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.18"
+   "version": "3.9.22"
   }
  },
  "nbformat": 4,