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plot_downloaded_products → plot_product_extent

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heyarne 2021-03-13 15:37:09 +01:00
commit 3d50f4a014
6 changed files with 22 additions and 22 deletions
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6
sources/01a-download-process.ipynb
View file

@ -508,7 +508,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"`plot_downloaded_products` allows plotting the tile geometry of downloaded or available products over with a designated area of interest.\n",
"`plot_product_extent` allows plotting the tile geometry of downloaded or available products over with a designated area of interest.\n",
"\n",
"This provides quick visual impression of the result:"
]
@ -532,8 +532,8 @@
}
],
"source": [
"from sentinel_helpers import plot_downloaded_products\n",
"ax = plot_downloaded_products(gdf, berlin, figsize=(9,9))"
"from sentinel_helpers import plot_product_extent\n",
"ax = plot_product_extent(gdf, berlin, figsize=(9,9))"
]
},
{

16
sources/01c-coverage-analysis.ipynb
View file

@ -131,8 +131,8 @@
}
],
"source": [
"from sentinel_helpers import plot_downloaded_products\n",
"plot_downloaded_products(products, brandenburg, figsize=(9,9))"
"from sentinel_helpers import plot_product_extent\n",
"plot_product_extent(products, brandenburg, figsize=(9,9))"
]
},
{
@ -252,8 +252,8 @@
"# plot subset of tiles left and right\n",
"ax1.set_title('Tiles starting with T32')\n",
"ax2.set_title('Tiles starting with T33')\n",
"plot_downloaded_products(t32_tiles, brandenburg, ax=ax1)\n",
"plot_downloaded_products(t33_tiles, brandenburg, ax=ax2)\n",
"plot_product_extent(t32_tiles, brandenburg, ax=ax1)\n",
"plot_product_extent(t33_tiles, brandenburg, ax=ax2)\n",
"plt.tight_layout()"
]
},
@ -310,7 +310,7 @@
" ax.set_xlim(xmin=bounds[0], xmax=bounds[2])\n",
" ax.set_ylim(ymin=bounds[1], ymax=bounds[3])\n",
" per_orbit = products[products['orbitnumber'] == orbit]\n",
" plot_downloaded_products(per_orbit, brandenburg, ax=ax, alpha=0.2)\n",
" plot_product_extent(per_orbit, brandenburg, ax=ax, alpha=0.2)\n",
" \n",
"# hide empty subplots\n",
"for ax in axs[len(orbits):]:\n",
@ -524,7 +524,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"The function `plot_downloaded_products` is reused to get a visual impression of the area of the union of tiles just created:"
"The function `plot_product_extent` is reused to get a visual impression of the area of the union of tiles just created:"
]
},
{
@ -556,7 +556,7 @@
}
],
"source": [
"plot_downloaded_products(union, brandenburg, figsize=(9,9))"
"plot_product_extent(union, brandenburg, figsize=(9,9))"
]
},
{
@ -719,7 +719,7 @@
" if union.contains(brandenburg_geometry):\n",
" break\n",
" \n",
"plot_downloaded_products(union, brandenburg)"
"plot_product_extent(union, brandenburg)"
]
},
{

6
sources/01d-true-color-mosaic.ipynb
View file

@ -137,7 +137,7 @@
],
"source": [
"from sentinelsat import SentinelAPI\n",
"from sentinel_helpers import search_osm, plot_downloaded_products\n",
"from sentinel_helpers import search_osm, plot_product_extent\n",
"import datetime\n",
"import os\n",
"\n",
@ -264,7 +264,7 @@
],
"source": [
"gdf = api.to_geodataframe(products)\n",
"plot_downloaded_products(gdf, footprint, figsize=(9,9))"
"plot_product_extent(gdf, footprint, figsize=(9,9))"
]
},
{
@ -362,7 +362,7 @@
"source": [
"import matplotlib.pyplot as plt\n",
"\n",
"plot_downloaded_products(selection, footprint, figsize=(9,9))\n",
"plot_product_extent(selection, footprint, figsize=(9,9))\n",
"plt.title('Selected products')"
]
},

4
sources/02a-area-of-interest-definition-and-product-download.ipynb
View file

@ -251,10 +251,10 @@
}
],
"source": [
"from sentinel_helpers import plot_downloaded_products\n",
"from sentinel_helpers import plot_product_extent\n",
"\n",
"deduped = products_gdf.drop_duplicates(subset='beginposition', keep='first')\n",
"plot_downloaded_products(deduped, tempelhofer_feld, figsize=(9,9), alpha=0.05)"
"plot_product_extent(deduped, tempelhofer_feld, figsize=(9,9), alpha=0.05)"
]
},
{

10
sources/03a-area-of-interest-definition-and-product-download.ipynb
View file

@ -22,7 +22,7 @@
"from datetime import date, timedelta\n",
"import os\n",
"from pathlib import Path\n",
"from sentinel_helpers import search_osm, plot_downloaded_products, geodataframe_on_map\n",
"from sentinel_helpers import search_osm, plot_product_extent, geodataframe_on_map\n",
"from sentinelsat import SentinelAPI\n",
"from tqdm.notebook import tqdm\n",
"\n",
@ -200,7 +200,7 @@
}
],
"source": [
"plot_downloaded_products(gdf, footprint_2018, figsize=(9,9))"
"plot_product_extent(gdf, footprint_2018, figsize=(9,9))"
]
},
{
@ -603,7 +603,7 @@
}
],
"source": [
"plot_downloaded_products(gdf, buffered)"
"plot_product_extent(gdf, buffered)"
]
},
{
@ -929,7 +929,7 @@
}
],
"source": [
"plot_downloaded_products(gdf, luebtheen, figsize=(9,9))"
"plot_product_extent(gdf, luebtheen, figsize=(9,9))"
]
},
{
@ -989,7 +989,7 @@
}
],
"source": [
"plot_downloaded_products(gdf[gdf['tile'] == 'T32UPE'], luebtheen, figsize=(9,9))"
"plot_product_extent(gdf[gdf['tile'] == 'T32UPE'], luebtheen, figsize=(9,9))"
]
},
{

2
sources/sentinel_helpers.py
View file

@ -31,7 +31,7 @@ def search_osm(place):
return gpd.read_file(search_url)
def plot_downloaded_products(products, area_of_interest, **kwargs):
def plot_product_extent(products, area_of_interest, **kwargs):
ax = kwargs.get('ax')
alpha = kwargs.pop('alpha', 0.1)
if not ax: