File size: 7,569 Bytes
4c82f8a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"[](https://colab.research.google.com/github/opengeos/solara-geemap/blob/main/notebooks/07_jrc.ipynb)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# %pip install -U geemap solara"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import ee\n",
"import geemap\n",
"import ipywidgets as widgets\n",
"from IPython.display import display\n",
"import solara\n",
"\n",
"\n",
"class Map(geemap.Map):\n",
" def __init__(self, **kwargs):\n",
" super().__init__(**kwargs)\n",
" self.add_basemap(\"Esri.WorldImagery\")\n",
" self.add_ee_data()\n",
" self.add_buttons(add_header=True)\n",
"\n",
" def add_ee_data(self):\n",
"\n",
" dataset = ee.Image(\"JRC/GSW1_4/GlobalSurfaceWater\")\n",
" image = dataset.select([\"occurrence\"])\n",
" vis_params = {\n",
" \"min\": 0.0,\n",
" \"max\": 100.0,\n",
" \"palette\": [\"ffffff\", \"ffbbbb\", \"0000ff\"],\n",
" }\n",
" self.addLayer(image, vis_params, \"Occurrence\")\n",
" self.add_colorbar(\n",
" vis_params, label=\"Water occurrence (%)\", layer_name=\"Occurrence\"\n",
" )\n",
"\n",
" def add_buttons(self, position=\"topright\", **kwargs):\n",
" padding = \"0px 5px 0px 5px\"\n",
" widget = widgets.VBox(layout=widgets.Layout(padding=padding))\n",
" layout = widgets.Layout(width=\"auto\")\n",
" style = {\"description_width\": \"initial\"}\n",
" hist_btn = widgets.Button(description=\"Occurrence\", layout=layout)\n",
" bar_btn = widgets.Button(description=\"Monthly history\", layout=layout)\n",
" reset_btn = widgets.Button(description=\"Reset\", layout=layout)\n",
" scale = widgets.IntSlider(\n",
" min=30, max=1000, value=90, description=\"Scale\", layout=layout, style=style\n",
" )\n",
" month_slider = widgets.IntRangeSlider(\n",
" description=\"Months\",\n",
" value=[5, 10],\n",
" min=1,\n",
" max=12,\n",
" step=1,\n",
" layout=layout,\n",
" style=style,\n",
" )\n",
" widget.children = [\n",
" widgets.HBox([hist_btn, bar_btn, reset_btn]),\n",
" month_slider,\n",
" scale,\n",
" ]\n",
" self.add_widget(widget, position=position, **kwargs)\n",
" output = widgets.Output()\n",
" self.add_widget(output, position=\"bottomleft\", add_header=False)\n",
"\n",
" def hist_btn_click(b):\n",
" region = self.user_roi\n",
" if region is not None:\n",
" output.clear_output()\n",
" output.append_stdout(\"Computing histogram...\")\n",
" image = ee.Image(\"JRC/GSW1_4/GlobalSurfaceWater\").select([\"occurrence\"])\n",
" self.default_style = {\"cursor\": \"wait\"}\n",
" hist = geemap.image_histogram(\n",
" image,\n",
" region,\n",
" scale=scale.value,\n",
" height=350,\n",
" width=550,\n",
" x_label=\"Water Occurrence (%)\",\n",
" y_label=\"Pixel Count\",\n",
" layout_args={\n",
" \"title\": dict(x=0.5),\n",
" \"margin\": dict(l=0, r=0, t=10, b=0),\n",
" },\n",
" return_df=False,\n",
" )\n",
"\n",
" with output:\n",
" output.clear_output()\n",
" display(hist)\n",
" self.default_style = {\"cursor\": \"default\"}\n",
" else:\n",
" output.clear_output()\n",
" with output:\n",
" output.append_stdout(\"Please draw a region of interest first.\")\n",
"\n",
" hist_btn.on_click(hist_btn_click)\n",
"\n",
" def bar_btn_click(b):\n",
" region = self.user_roi\n",
" if region is not None:\n",
" self.default_style = {\"cursor\": \"wait\"}\n",
" output.clear_output()\n",
" output.append_stdout(\"Computing monthly history...\")\n",
" bar = geemap.jrc_hist_monthly_history(\n",
" region=region,\n",
" scale=scale.value,\n",
" height=350,\n",
" width=550,\n",
" layout_args={\n",
" \"title\": dict(x=0.5),\n",
" \"margin\": dict(l=0, r=0, t=10, b=0),\n",
" },\n",
" frequency=\"month\",\n",
" start_month=month_slider.value[0],\n",
" end_month=month_slider.value[1],\n",
" denominator=1e4,\n",
" y_label=\"Area (ha)\",\n",
" )\n",
"\n",
" with output:\n",
" output.clear_output()\n",
" display(bar)\n",
" self.default_style = {\"cursor\": \"default\"}\n",
" else:\n",
" output.clear_output()\n",
" with output:\n",
" output.append_stdout(\"Please draw a region of interest first.\")\n",
"\n",
" bar_btn.on_click(bar_btn_click)\n",
"\n",
" def reset_btn_click(b):\n",
" self._draw_control.clear()\n",
" output.clear_output()\n",
"\n",
" reset_btn.on_click(reset_btn_click)\n",
"\n",
"\n",
"@solara.component\n",
"def Page():\n",
" with solara.Column(style={\"min-width\": \"500px\"}):\n",
" Map.element(\n",
" center=[20, -0],\n",
" zoom=2,\n",
" height=\"750px\",\n",
" zoom_ctrl=False,\n",
" measure_ctrl=False,\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"Page()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "geo",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|