diff --git a/geospatial/notebooks/Example - Reproject NLCD to NAIP tile boundaries.ipynb b/geospatial/notebooks/Example - Reproject NLCD to NAIP tile boundaries.ipynb index 9f0253f..fc04259 100644 --- a/geospatial/notebooks/Example - Reproject NLCD to NAIP tile boundaries.ipynb +++ b/geospatial/notebooks/Example - Reproject NLCD to NAIP tile boundaries.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "burning-thriller", + "id": "manufactured-thriller", "metadata": {}, "source": [ "This example notebook shows how to use `rasterio` to align two spatially overlapping rasters.\n", @@ -12,13 +12,13 @@ "2. We would like to reproject the land cover data into the same coordinate system used by the aerial imagery\n", "3. We would like to resample the land cover data to the same spatial resolution of the aerial imagery\n", "\n", - "If we can do these three things, then we will have two raster layers that are aligned at the pixel level, and that can be trivially used in a variety of ML workflows (e.g. we could try to train a model to super resolve the land cover data given the aerial imagery)." + "If we can do these three things, then we will have two raster layers that are aligned at the pixel level, and that can be trivially used in a variety of ML workflows (e.g. we could try to train a model to super resolve the land cover data given the aerial imagery). `rasterio` makes it very easy to do all three of these in-memory with a `WarpedVRT`, see below!" ] }, { "cell_type": "code", "execution_count": 1, - "id": "passing-trigger", + "id": "independent-tissue", "metadata": {}, "outputs": [], "source": [ @@ -45,7 +45,7 @@ { "cell_type": "code", "execution_count": 2, - "id": "varying-behalf", + "id": "serial-bobby", "metadata": {}, "outputs": [], "source": [ @@ -59,7 +59,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "successful-commissioner", + "id": "rubber-logging", "metadata": {}, "outputs": [ { @@ -89,7 +89,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "final-blogger", + "id": "provincial-optics", "metadata": {}, "outputs": [ { @@ -116,7 +116,7 @@ { "cell_type": "code", "execution_count": 5, - "id": "approximate-headline", + "id": "liable-power", "metadata": {}, "outputs": [ { @@ -152,7 +152,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "concrete-compound", + "id": "alpine-chicago", "metadata": {}, "outputs": [], "source": [ @@ -190,7 +190,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "inner-virginia", + "id": "comparable-kingdom", "metadata": {}, "outputs": [ { @@ -217,7 +217,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "expressed-adapter", + "id": "enabling-bouquet", "metadata": {}, "outputs": [], "source": [