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New raster cloud mask implementation

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heyarne 2021-03-06 16:41:24 +00:00
commit 6387dc28bc
8 changed files with 914 additions and 933 deletions
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128
sources/02d Cloud Masks.ipynb
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@ -11,28 +11,115 @@
"This notebook explores the contents of these files and evaluates how a helper for dealing with cloud masks can be implemented."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
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"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" </tbody>\n",
"</table>\n",
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],
"text/plain": [
"Empty GeoDataFrame\n",
"Columns: []\n",
"Index: []"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": []
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from sentinel_helpers import scihub_band_paths\n",
"product_path = 'input/tempelhofer_feld/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.zip'"
"import geopandas as gpd\n",
"from rasterio.features import geometry_window\n",
"\n",
"tempelhofer_feld = gpd.read_file('resources/tempelhofer_feld/tempelhofer_feld.geojson')"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from sentinel_helpers import scihub_band_paths, raster_cloud_mask\n",
"product_path = 'resources/tempelhofer_feld/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.zip'"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"data, transform = raster_cloud_mask(product_path)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'zip+file://input/tempelhofer_feld/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.zip!/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.SAFE/GRANULE/L2A_T32UQD_A018609_20190114T101352/QI_DATA/MSK_CLDPRB_20m.jp2'"
"(1, 10980, 10980)"
]
},
"execution_count": 2,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data.shape"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"PosixPath('zip+file:/home/jovyan/sources/resources/tempelhofer_feld/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.zip!/S2A_MSIL2A_20190114T101351_N0211_R022_T32UQD_20190114T113404.SAFE/GRANULE/L2A_T32UQD_A018609_20190114T101352/QI_DATA/MSK_CLDPRB_20m.jp2')"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@ -44,7 +131,16 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"from rasterio.windows import Window"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
@ -52,6 +148,28 @@
"import rasterio.plot as rplt"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Window(col_off=4893, row_off=3806, width=119, height=99)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with r.open(raster_cloud_mask) as mask:\n",
" window = geometry_window(mask, tempelhofer_feld.to_crs(mask.crs)['geometry'])\n",
"window"
]
},
{
"cell_type": "code",
"execution_count": 4,