|
26 | 26 | "outputs": [], |
27 | 27 | "source": [ |
28 | 28 | "from arcgis.gis import GIS\n", |
29 | | - "agol = GIS()" |
| 29 | + "gis = GIS('https://pythonapi.playground.esri.com/portal', 'arcgis_python', 'amazing_arcgis_123')" |
30 | 30 | ] |
31 | 31 | }, |
32 | 32 | { |
|
39 | 39 | "text/html": [ |
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41 | 41 | " <div class=\"item_left\" style=\"width: 210px; float: left;\">\n", |
42 | | - " <a href='https://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b' target='_blank'>\n", |
43 | | - " <img src='https://www.arcgis.com/sharing/rest//content/items/d9b466d6a9e647ce8d1dd5fe12eb434b/info/thumbnail/ago_downloaded.jpg' class=\"itemThumbnail\">\n", |
| 42 | + " <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b' target='_blank'>\n", |
| 43 | + " <img 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width='200' height='133' class=\"itemThumbnail\">\n", |
44 | 44 | " </a>\n", |
45 | 45 | " </div>\n", |
46 | 46 | "\n", |
47 | 47 | " <div class=\"item_right\" style=\"float: none; width: auto; overflow: hidden;\">\n", |
48 | | - " <a href='https://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b' target='_blank'><b>Multispectral Landsat</b>\n", |
| 48 | + " <a href='https://pythonapi.playground.esri.com/portal/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b' target='_blank'><b>Multispectral Landsat</b>\n", |
49 | 49 | " </a>\n", |
50 | | - " <br/>Landsat 8 OLI, 30m multispectral and multitemporal 8-band imagery , with on-the-fly renderings and indices. This imagery layer is sourced from the Landsat on AWS collections and is updated daily with new imagery.<img src='https:// www.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/imagery16.png' style=\"vertical-align:middle;\">Imagery Layer by esri\n", |
51 | | - " <br/>Last Modified: May 04, 2018\n", |
52 | | - " <br/>0 comments, 1,19,600 views\n", |
| 50 | + " <br/>Landsat multispectral and multitemporal imagery with on-the-fly renderings and indices for visualization and analysis. The Landsat 8 imagery in this layer is updated daily and is directly sourced from the Landsat on AWS collection.<img src='https:// pythonapi.playground.esri.com/ portal/home/js/jsapi/esri/css/images/item_type_icons/imagery16.png' style=\"vertical-align:middle;\">Imagery Layer by esri_livingatlas\n", |
| 51 | + " <br/>Last Modified: May 13, 2020\n", |
| 52 | + " <br/>0 comments, 1 views\n", |
53 | 53 | " </div>\n", |
54 | 54 | " </div>\n", |
55 | 55 | " " |
56 | 56 | ], |
57 | 57 | "text/plain": [ |
58 | | - "<Item title:\"Multispectral Landsat\" type:Imagery Layer owner:esri>" |
| 58 | + "<Item title:\"Multispectral Landsat\" type:Imagery Layer owner:esri_livingatlas>" |
59 | 59 | ] |
60 | 60 | }, |
61 | 61 | "execution_count": 2, |
|
64 | 64 | } |
65 | 65 | ], |
66 | 66 | "source": [ |
67 | | - "l8 = agol.content.search('\"Multispectral Landsat\"', 'Imagery Layer')[0]\n", |
| 67 | + "l8 = gis.content.get('d9b466d6a9e647ce8d1dd5fe12eb434b')\n", |
| 68 | + "l8lyr = l8.layers[0]\n", |
68 | 69 | "l8" |
69 | 70 | ] |
70 | 71 | }, |
71 | | - { |
72 | | - "cell_type": "code", |
73 | | - "execution_count": 3, |
74 | | - "metadata": {}, |
75 | | - "outputs": [], |
76 | | - "source": [ |
77 | | - "l8lyr = l8.layers[0]" |
78 | | - ] |
79 | | - }, |
80 | 72 | { |
81 | 73 | "cell_type": "markdown", |
82 | 74 | "metadata": {}, |
|
279 | 271 | "name": "python", |
280 | 272 | "nbconvert_exporter": "python", |
281 | 273 | "pygments_lexer": "ipython3", |
282 | | - "version": "3.6.5" |
| 274 | + "version": "3.7.10" |
283 | 275 | } |
284 | 276 | }, |
285 | 277 | "nbformat": 4, |
|
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