{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Reading raster files\n", "\n", "**This section will be updated to use xarray**.\n", "\n", "[Rasterio](https://mapbox.github.io/rasterio/) is a highly useful module for raster processing which you can use for reading and writing [several different raster formats](http://www.gdal.org/formats_list.html) in Python. Rasterio is based on [GDAL](http://www.gdal.org/) and Python automatically registers all known GDAL drivers for reading supported formats when importing the module. Most common file formats include for example [TIFF and GeoTIFF](http://www.gdal.org/frmt_gtiff.html), [ASCII Grid](http://www.gdal.org/frmt_various.html#AAIGrid) and [Erdas Imagine .img](http://www.gdal.org/frmt_hfa.html) -files.\n", "\n", "[Landsat 8](http://landsat.gsfc.nasa.gov/landsat-8/landsat-8-bands) bands are stored as separate GeoTIFF -files in the original package. Each band contains information of surface reflectance from different ranges of the electromagnetic spectrum.\n", "\n", "### Download data\n", "\n", "**Download the data** package from [here](http://www.helsinki.fi/science/accessibility/opetus/autogis/L5_data.zip). The package contains various TIF-files that will be explored during the tutorials. \n", "\n", "Let's start with inspecting one of the files we downloaded:\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import xarray as xr\n", "\n", "url = \"https://a3s.fi/swift/v1/AUTH_0914d8aff9684df589041a759b549fc2/PythonGIS/elevation/kilimanjaro/ASTGTMV003_S03E036_dem.tif\"\n", "data1 = xr.open_dataset(url)\n", "data2 = xr.open_rasterio(url).squeeze(\"band\", drop=True).to_dataset(name=\"elevation\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "xarray.core.dataset.Dataset" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(data1)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "data2[\"elevation\"].plot()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "rasterio.io.DatasetReader" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import rasterio\n", "import os\n", "import numpy as np\n", "\n", "%matplotlib inline\n", "\n", "# Data dir\n", "data_dir = \"L5_data\"\n", "fp = os.path.join(data_dir, \"Helsinki_masked_p188r018_7t20020529_z34__LV-FIN.tif\")\n", "\n", "# Open the file:\n", "raster = rasterio.open(fp)\n", "\n", "# Check type of the variable 'raster'\n", "type(raster)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Okey so from here we can see that our `raster` variable is a `rasterio._io.RasterReader` type which means that we have opened the file for reading." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Read raster file properties\n", "\n", "Let's have a closer look at the properties of the file:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CRS({'proj': 'tmerc', 'lat_0': 0, 'lon_0': -183, 'k': 0.9996, 'x_0': 500000, 'y_0': 0, 'datum': 'WGS84', 'units': 'm', 'no_defs': True})" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Projection\n", "raster.crs" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Affine(28.5, 0.0, 698592.0,\n", " 0.0, -28.5, 6697870.5)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Affine transform (how raster is scaled, rotated, skewed, and/or translated)\n", "raster.transform" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1288\n", "1439\n" ] } ], "source": [ "# Dimensions\n", "print(raster.width)\n", "print(raster.height)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "7" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Number of bands\n", "raster.count" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "BoundingBox(left=698592.0, bottom=6656859.0, right=735300.0, top=6697870.5)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Bounds of the file\n", "raster.bounds" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'GTiff'" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Driver (data format)\n", "raster.driver" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(None, None, None, None, None, None, None)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# No data values for all channels\n", "raster.nodatavals" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'driver': 'GTiff',\n", " 'dtype': 'uint8',\n", " 'nodata': None,\n", " 'width': 1288,\n", " 'height': 1439,\n", " 'count': 7,\n", " 'crs': CRS({'proj': 'tmerc', 'lat_0': 0, 'lon_0': -183, 'k': 0.9996, 'x_0': 500000, 'y_0': 0, 'datum': 'WGS84', 'units': 'm', 'no_defs': True}),\n", " 'transform': Affine(28.5, 0.0, 698592.0,\n", " 0.0, -28.5, 6697870.5)}" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# All Metadata for the whole raster dataset\n", "raster.meta" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Get raster bands\n", "\n", "Different bands of a satellite images are often stacked together in one raster dataset. In our case, all seven bands of the Landsat 8 scene are included in our GeoTIFF and the `count` is hence 7.\n", "\n", "In order to have a closer look at the values stored in the band, we will take advantage of the [GDAL Band API](http://gdal.org/python/osgeo.gdal.Band-class.html).\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "uint8\n" ] } ], "source": [ "# Read the raster band as separate variable\n", "band1 = raster.read(1)\n", "\n", "# Check type of the variable 'band'\n", "print(type(band1))\n", "\n", "# Data type of the values\n", "print(band1.dtype)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we have the values of the raster band stored in the variable `band1`.\n", "\n", "Data type of the band can be interpreted with the help of GDAL documentation on [Pixel data types](http://www.gdal.org/gdal_8h.html#a22e22ce0a55036a96f652765793fb7a4). Unsigned integer is always equal or greater than zero and signed integer can store also negative values. For example, an unsigned 16-bit integer can store 2^16 (=65,536) values ranging from 0 to 65,535.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Band statistics\n", "\n", "Next, let's have a look at the values that are stored in the band. As the values of the bands are stored as numpy arrays, it is extremely easy to calculate basic statistics by using basic numpy functions." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'min': 0, 'mean': 59.63132232528628, 'median': 61.0, 'max': 255},\n", " {'min': 0, 'mean': 43.13342814842951, 'median': 43.0, 'max': 255},\n", " {'min': 0, 'mean': 36.29418775547201, 'median': 31.0, 'max': 255},\n", " {'min': 0, 'mean': 35.0946303937776, 'median': 13.0, 'max': 255},\n", " {'min': 0, 'mean': 37.63263502518571, 'median': 13.0, 'max': 255},\n", " {'min': 0, 'mean': 105.8221477777442, 'median': 114.0, 'max': 175},\n", " {'min': 0, 'mean': 26.28348760569581, 'median': 14.0, 'max': 255}]" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Read all bands\n", "array = raster.read()\n", "\n", "# Calculate statistics for each band\n", "stats = []\n", "for band in array:\n", " stats.append(\n", " {\n", " \"min\": band.min(),\n", " \"mean\": band.mean(),\n", " \"median\": np.median(band),\n", " \"max\": band.max(),\n", " }\n", " )\n", "\n", "# Show stats for each channel\n", "stats" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 4 }