{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# owslib is a Python package for client programming with OGC web service interface standards.\n", "\n", "In this tutorial we'll work with the four types of interfaces we've seen so far: WMS, WFS, WCS and WPS. But there are other interfaces supported by owslib that are of potential interest, namely the `csw` (Catalog services), `sos` (Sensor Observation Services) and `waterml` (Water Markup Language). " ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'0.16.0'" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import owslib\n", "owslib.__version__" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "from owslib.wms import WebMapService\n", "from owslib.wfs import WebFeatureService\n", "from owslib.wcs import WebCoverageService\n", "from owslib.wps import WebProcessingService\n", "#\n", "from owslib.csw import CatalogueServiceWeb\n", "from owslib.sos import SensorObservationService\n", "from owslib.waterml.wml11 import WaterML_1_1\n", "from owslib.wmts import WebMapTileService" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Web Mapping Service\n", "\n", "We start by fetching a map using the WMS protocol. We first instantiate a `WebMapService` object using the address of the NASA server, then browse through its content. " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [ "wms = WebMapService('https://neowms.sci.gsfc.nasa.gov/wms/wms')\n", "print(\"Title: \", wms.identification.title)\n", "print(\"Type: \", wms.identification.type)\n", "print(\"Operations: \", [op.name for op in wms.operations])\n", "print(\"GetMap options: \", wms.getOperationByName('GetMap').formatOptions)\n", "wms.contents.keys()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `content` is a dictionary holding metadata for each layer. We'll print some of the metadata' title for a couple of layers to see what's in it. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Active Fires (1 month - Terra/MODIS)\n", "Outgoing Longwave Radiation (1 month)\n", "Land Surface Temperature [Day] (1 month - Terra/MODIS)\n", "Greenland / Antarctica Elevation\n", "Cloud Water Content (1 month - Terra/MODIS)\n", "True Color (1 day - Terra/MODIS Rapid Response)\n" ] } ], "source": [ "for key in ['MOD14A1_M_FIRE', 'CERES_LWFLUX_M', 'MOD11C1_M_LSTDA', 'ICESAT_ELEV_G', 'MODAL2_M_CLD_WP', 'MOD_143D_RR']:\n", " print(wms.contents[key].title)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We'll select the true color Earth imagery from Terra/MODIS. Let's check out some of its properties. We can also pretty print the full abstract with HTML. " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Abstract: None\n", "BBox: (-180.0, -90.0, 180.0, 90.0)\n", "CRS: ['EPSG:4326']\n", "Styles: {}\n", "Timestamps: ['2006-09-01/2006-09-14/P1D', '2006-09-17/2006-10-10/P1D', '2006-10-12/2006-11-18/P1D', '2006-11-21/2007-03-01/P1D', '2007-03-03/2007-08-16/P1D', '2007-08-18', '2007-08-20/2007-09-11/P1D', '2007-09-15/2007-12-30/P1D', '2008-01-01/2008-01-24/P1D', '2008-01-27/2008-02-24/P1D', '2008-02-26/2008-03-18/P1D', '2008-03-20/2008-06-12/P1D', '2008-06-14', '2008-06-16/2008-07-12/P1D', '2008-07-14/2008-09-17/P1D', '2008-09-19', '2008-09-22/2008-10-17/P1D', '2008-10-19/2008-10-22/P1D', '2008-10-28/2008-12-02/P1D', '2008-12-04/2008-12-20/P1D', '2008-12-23/2008-12-30/P1D', '2009-01-01/2009-01-20/P1D', '2009-01-22/2009-04-19/P1D', '2009-04-23/2009-07-05/P1D', '2009-07-08/2009-12-30/P1D', '2010-01-01/2010-07-16/P1D', '2010-07-18/2010-12-07/P1D', '2010-12-09/2010-12-30/P1D', '2011-01-01/2011-01-25/P1D', '2011-01-27/2011-03-19/P1D', '2011-03-21/2011-07-23/P1D', '2011-07-27/2011-08-27/P1D', '2011-08-30/2011-12-13/P1D', '2011-12-15/2012-02-19/P1D', '2012-02-21/2013-12-01/P1D', '2013-12-04/2018-03-12/P1D', '2018-03-14/2018-05-16/P1D', '2018-05-18/2018-09-16/P1D']\n" ] }, { "data": { "text/html": [ "
These images show the Earth's surface and clouds in true color, like a photograph. NASA uses satellites in space to gather images like these over the whole world every day. Scientists use these images to track changes on Earth's surface. Notice the shapes and patterns of the colors across the lands. Dark green areas show where there are many plants. Brown areas are where the satellite sensor sees more of the bare land surface because there are few plants. White areas are either snow or clouds. Where on Earth would you like to explore?
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