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Apr 28, 2025
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markdown edits to landcover and Landsat notebooks #1342

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20 changes: 7 additions & 13 deletions DEA_products/DEA_Land_Cover.ipynb
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Expand Up @@ -949,18 +949,12 @@
"\n",
"The Level 3 classification contains six base classes: \n",
"\n",
"* <strong>111: Cultivated Terrestrial Vegetation</strong> \n",
"Cultivated vegetation is vegetation that has been changed by human influence, such as planted crops or improved pasture. This is different from areas left to minor grazing or fallow.\n",
"* <strong>112: Natural Terrestrial Vegetation</strong> \n",
"Natural vegetation is vegetation that has not been changed by human influence. This includes native forests as well as pastures or paddocks left unchanged for the year. It does not identify whether the vegetation is native or otherwise.\n",
"* <strong>124: Natural Aquatic Vegetation</strong> \n",
"Aquatic vegetation is vegetation that gets regularly inundated with water. Natural Aquatic Vegetation is generally associated with swamps, fens, flooded forests, saltmarshes, or mangroves. Only mangroves are included in the current release.\n",
"* <strong>215: Artificial Surface</strong> \n",
"Artificial surfaces are human-made, unvegetated areas. This includes the roofs of houses, concrete areas, road surfaces and other similar surfaces that we associate with civilisation.\n",
"* <strong>216: Natural Bare Surface</strong> \n",
"Natural bare surface is mostly soil. It is very likely that there is still vegetation in the area, but it is dominated by soil.\n",
"* <strong>220: Water</strong> \n",
"Water captures terrestrial and coastal open water such as dams, lakes, large rivers and the coastal and near-shore zone. \n",
"* **111: Cultivated Terrestrial Vegetation:** Vegetation that has been changed by human influence, such as planted crops or improved pasture. This is different from areas left to minor grazing or fallow.\n",
"* **112: Natural Terrestrial Vegetation:** Vegetation that has not been changed by human influence. This includes native forests as well as pastures or paddocks left unchanged for the year. It does not identify whether the vegetation is native or otherwise.\n",
"* **124: Natural Aquatic Vegetation:** Vegetation that gets regularly inundated with water. Natural Aquatic Vegetation is generally associated with swamps, fens, flooded forests, saltmarshes, or mangroves. Only mangroves are included in the current release.\n",
"* **215: Artificial Surface:** Human-made, unvegetated areas. This includes the roofs of houses, concrete areas, road surfaces and other similar surfaces that we associate with civilisation.\n",
"* **216: Natural Bare Surface:** Mostly bare soil. It is very likely that there is still vegetation in the area, but it is dominated by soil.\n",
"* **220: Water** Terrestrial and coastal open water such as dams, lakes, large rivers and the coastal and near-shore zone. \n",
"\n",
"To plot the `level3` data, we will use the `plot_layer()` function. \n",
"The `plot_layer()` function allows you to define your own colour map as shown in the cell below. \n",
Expand Down Expand Up @@ -1577,7 +1571,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.15"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
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4 changes: 2 additions & 2 deletions DEA_products/DEA_Landsat_Surface_Reflectance.ipynb
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Expand Up @@ -1632,7 +1632,7 @@
"\n",
"To determine whether you need to use `align` when loading DEA Landsat Surface Reflectance data, all the following must apply:\n",
"\n",
"* You are loading Landsat data from the `ga_ls5t_ard_3`, `ga_ls7e_ard_3` and `ga_ls8c_ard_3` products that define pixel coordinates by their centers rather than pixel edges\n",
"* You are loading Landsat data from the `ga_ls5t_ard_3`, `ga_ls7e_ard_3`, `ga_ls8c_ard_3`, and `ga_ls9c_ard_3` products that define pixel coordinates by their centers rather than pixel edges\n",
"* You want to load data in its native projection without a half pixel offset\n",
"* You are supplying a native UTM zone CRS generated by `mostcommon_crs` or copied from a datacube dataset\n",
"* You are supplying a native resolution (e.g. `resolution=(-30, 30)`)\n",
Expand Down Expand Up @@ -1904,7 +1904,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.10.15"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
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