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83 | 83 | },
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84 | 84 | {
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85 | 85 | "cell_type": "code",
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86 |
| - "execution_count": 1, |
| 86 | + "execution_count": 3, |
87 | 87 | "metadata": {},
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88 | 88 | "outputs": [],
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89 | 89 | "source": [
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109 | 109 | },
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110 | 110 | {
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111 | 111 | "cell_type": "code",
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112 |
| - "execution_count": 2, |
| 112 | + "execution_count": 5, |
113 | 113 | "metadata": {},
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114 | 114 | "outputs": [],
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115 | 115 | "source": [
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132 | 132 | },
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133 | 133 | {
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134 | 134 | "cell_type": "code",
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135 |
| - "execution_count": 3, |
| 135 | + "execution_count": 6, |
136 | 136 | "metadata": {},
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137 | 137 | "outputs": [
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138 | 138 | {
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148 | 148 | " <div class=\"item_right\" style=\"float: none; width: auto; overflow: hidden;\">\n",
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149 | 149 | " <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b' target='_blank'><b>Multispectral Landsat</b>\n",
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150 | 150 | " </a>\n",
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151 |
| - " <br/>Landsat multispectral and multitemporal imagery with on-the-fly renderings and indices for visualization and analysis. The Landsat 8 and 9 imagery in this layer is updated daily and is directly sourced from the USGS Landsat collection on AWS.<img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/imagery16.png' style=\"vertical-align:middle;\" width=16 height=16>Imagery Layer by esri\n", |
| 151 | + " <br/>Landsat multispectral and multitemporal imagery with on-the-fly renderings and indices for visualization and analysis. The Landsat 8 and 9 imagery in this layer is updated daily and is directly sourced from the USGS Landsat collection on AWS.<br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/imagery16.png' style=\"vertical-align:middle;\" width=16 height=16>Imagery Layer by esri\n", |
152 | 152 | " <br/>Last Modified: June 30, 2022\n",
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153 |
| - " <br/>3 comments, 1,129,252 views\n", |
| 153 | + " <br/>3 comments, 1371075 views\n", |
154 | 154 | " </div>\n",
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155 | 155 | " </div>\n",
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156 | 156 | " "
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159 | 159 | "<Item title:\"Multispectral Landsat\" type:Imagery Layer owner:esri>"
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160 | 160 | ]
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161 | 161 | },
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162 |
| - "execution_count": 3, |
| 162 | + "execution_count": 6, |
163 | 163 | "metadata": {},
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164 | 164 | "output_type": "execute_result"
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165 | 165 | }
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179 | 179 | },
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180 | 180 | {
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181 | 181 | "cell_type": "code",
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182 |
| - "execution_count": 4, |
| 182 | + "execution_count": null, |
183 | 183 | "metadata": {},
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184 | 184 | "outputs": [],
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185 | 185 | "source": [
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188 | 188 | },
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189 | 189 | {
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190 | 190 | "cell_type": "code",
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191 |
| - "execution_count": 5, |
| 191 | + "execution_count": null, |
192 | 192 | "metadata": {},
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193 | 193 | "outputs": [],
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194 | 194 | "source": [
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203 | 203 | "outputs": [],
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204 | 204 | "source": [
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205 | 205 | "m = gis.map('Hirakund reservoir, Odisha, India')\n",
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206 |
| - "m.basemap = 'satellite'\n", |
| 206 | + "m.basemap.basemap = 'satellite'\n", |
207 | 207 | "m"
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208 | 208 | ]
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209 | 209 | },
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230 | 230 | },
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231 | 231 | {
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232 | 232 | "cell_type": "code",
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233 |
| - "execution_count": 7, |
| 233 | + "execution_count": null, |
234 | 234 | "metadata": {},
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235 | 235 | "outputs": [],
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236 | 236 | "source": [
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251 | 251 | },
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252 | 252 | {
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253 | 253 | "cell_type": "code",
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254 |
| - "execution_count": 8, |
| 254 | + "execution_count": null, |
255 | 255 | "metadata": {},
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256 | 256 | "outputs": [],
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257 | 257 | "source": [
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311 | 311 | },
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312 | 312 | {
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313 | 313 | "cell_type": "code",
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314 |
| - "execution_count": 17, |
| 314 | + "execution_count": null, |
315 | 315 | "metadata": {},
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316 | 316 | "outputs": [],
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317 | 317 | "source": [
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332 | 332 | },
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333 | 333 | {
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334 | 334 | "cell_type": "code",
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335 |
| - "execution_count": 18, |
| 335 | + "execution_count": null, |
336 | 336 | "metadata": {},
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337 |
| - "outputs": [ |
338 |
| - { |
339 |
| - "name": "stdout", |
340 |
| - "output_type": "stream", |
341 |
| - "text": [ |
342 |
| - "Movie Created\n" |
343 |
| - ] |
344 |
| - } |
345 |
| - ], |
| 337 | + "outputs": [], |
346 | 338 | "source": [
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347 | 339 | "create_movie(rgb_collection,'m' ,'2019-01-01','2019-12-31', 1250, 450, extent, 0.4) # calling create_movie function"
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348 | 340 | ]
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396 | 388 | "name": "python",
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397 | 389 | "nbconvert_exporter": "python",
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398 | 390 | "pygments_lexer": "ipython3",
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399 |
| - "version": "3.10.13" |
| 391 | + "version": "3.11.0" |
400 | 392 | }
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401 | 393 | },
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402 | 394 | "nbformat": 4,
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403 |
| - "nbformat_minor": 2 |
| 395 | + "nbformat_minor": 4 |
404 | 396 | }
|
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