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Merge pull request #71 from CU-ESIIL/main
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updated all data paths in invasion notebook
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Chathu84 committed Jun 12, 2024
2 parents 3bb727f + 8f5f860 commit 123c3a4
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1,288 changes: 1,288 additions & 0 deletions data/tundra_points_nw_2_2.csv

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Binary file added images/Group1_proximal_ASD_reflectance_11.png
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1,289 changes: 1,256 additions & 33 deletions notebooks/agriculture/0_Ag_Lands_Search_EMIT.ipynb

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5 changes: 2 additions & 3 deletions notebooks/agriculture/1_Orthorectify_images.ipynb
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Expand Up @@ -129,7 +129,7 @@
"Input Granule ID: EMIT_L2A_RFL_001_20230729T205653_2321014_021.nc\n",
"Output Granule ID: EMIT_L2A_RFL_001_20230729T205653_2321014_021_ortho.nc\n",
" \n",
"Total time: 31.867205142974854\n",
"Total time: 32.07515048980713\n",
"*** Success! ***\n"
]
}
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"output_type": "stream",
"text": [
"\n",
"\n",
"*** Copying complete! ***\n"
"*** Skipping backup of ortho images ***\n"
]
}
],
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16 changes: 16 additions & 0 deletions notebooks/agriculture/2_Analyze_EMIT_images.ipynb
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Expand Up @@ -394,6 +394,22 @@
"Based on what you see above, what can you take away from these different spectral plots about the status, vigor, and cover of different crops from these three different agricultural fields?"
]
},
{
"cell_type": "markdown",
"id": "e09a0c34-8463-44e0-87d0-a54cd759abb8",
"metadata": {},
"source": [
"**A)** ![Group2_proximal_ASD_reflectance_12.png](../../images/Group2_proximal_ASD_reflectance_12.png) **B)** ![Group1_proximal_ASD_reflectance_11.png](../../images/Group1_proximal_ASD_reflectance_11.png)"
]
},
{
"cell_type": "markdown",
"id": "124ddaae-c5d3-48f6-b46c-d7385795cd2e",
"metadata": {},
"source": [
"We can also quickly compare the \"proximal\" visible through shortwave infrared (VSWIR) spectra you collected on Monday with the ASD to the example spectra from EMIT. Proximal spectra refers to spectra collected close to, but not in contact with, the surface/materials of interest, such as the soil or plant canopy. You can see that despite the EMIT spectra coming from agricultural fields, and the proximal data collected at the CU Boulder \"Confluence\", clear similarities can be seen in the shapes of the image spectra shown in the EMIT panels B and C. This is because the data from the CU Boulder Confluence represented mixed grasses with different fractions of dry and live grasses as well as exposed soil and the EMIT spectra panels B and C are representative of ag fields with lower vegetation cover (B) and fields with mostly exposed soil and dry plant materials (EMIT panel C)."
]
},
{
"cell_type": "markdown",
"id": "f433581d-4d7e-4eac-9bb1-2b34a1af296f",
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3 changes: 1 addition & 2 deletions notebooks/water_quality/lesson1_waterFind.ipynb
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Expand Up @@ -205,8 +205,7 @@
"source": [
"# Load Geopandas File with Lakes and Reservoirs\n",
"lr_filename = os.path.join(data_store_path, 'co_lr/co_lr.shp')\n",
"lr_gdf = gpd.read_file('data/co_lr/co_lr.shp')\n",
"print(len(lr_gdf))\n",
"lr_gdf = gpd.read_file(lr_filename)\n",
"\n",
"# Visualize First 5 Entries\n",
"lr_gdf.head()"
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3,412 changes: 3,412 additions & 0 deletions notebooks/water_quality/lesson2_EMITnECO-fillIn.ipynb

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1,050 changes: 278 additions & 772 deletions notebooks/water_quality/lesson2_EMITnECO.ipynb

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