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Merge pull request #95 from nsidc/measures_ecs_decom
Measures ecs decom
2 parents 1302de7 + 2969448 commit 85346be

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notebooks/measures/Search_Download_and_Plot_GeoTIFFs.ipynb

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@@ -145,7 +145,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "6aad881a",
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"id": "c453800d-d454-4902-8a49-da21883c5920",
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"metadata": {},
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"source": [
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"### **Search for data using spatial and temporal filters**\n",
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"\n",
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"* `short_name` - this is the data set ID e.g., NSIDC-0715, NSIDC-0481. It can be found in the data set title on the data set landing page.\n",
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"* `version` - data set version number, also included in the data set title.\n",
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"* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data sets we are interested in are currently still archived on-prem so will set this to False.\n",
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"* `bounding_box` - sets a spatial filter by specifying latitude and longitude in the following order: W, S, E, and N.\n",
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"* `temporal` - sets a temporal filter by specifying a start and end date in the format YYYY-MM-DD.\n",
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"* `count` - this sets the maximum number of granules that will be returned in the search\n",
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"results_dem = earthaccess.search_data(\n",
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" short_name='NSIDC-0715',\n",
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" version='2',\n",
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" cloud_hosted=False,\n",
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" bounding_box=(-33.45,68.29,-31.41,69.26),\n",
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" temporal=('2015-12-01','2015-12-31'),\n",
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" count=100\n",
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"results_vel = earthaccess.search_data(\n",
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" short_name='NSIDC-0481',\n",
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" version='4',\n",
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" cloud_hosted=False,\n",
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" bounding_box=(-33.45,68.29,-31.41,69.26),\n",
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" temporal=('2017-01-01','2017-12-31'),\n",
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" count=100\n",
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"metadata": {},
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"outputs": [],
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"source": [
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"#for x in dir_list:\n",
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"# for x in dir_list:\n",
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"# if x.endswith('.tif'):\n",
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"# os.remove(os.path.join(path, x))"
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"# os.remove(os.path.join(path, x))"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.15"
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"version": "3.9.18"
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}
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},
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"nbformat": 4,

notebooks/measures/Search_Download_and_Plot_GeoTIFFs_rendered.ipynb

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@@ -156,7 +156,7 @@
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},
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{
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"cell_type": "markdown",
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"id": "6aad881a",
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"id": "b64078ae-49e4-4ae0-b30f-08237b73570c",
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"metadata": {},
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"source": [
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"### **Search for data using spatial and temporal filters**\n",
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"\n",
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"* `short_name` - this is the data set ID e.g., NSIDC-0715, NSIDC-0481. It can be found in the data set title on the data set landing page.\n",
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"* `version` - data set version number, also included in the data set title.\n",
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"* `cloud_hosted` - NSIDC is in the process of migrating data sets to the cloud. The data sets we are interested in are currently still archived on-prem so will set this to False.\n",
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"* `bounding_box` - sets a spatial filter by specifying latitude and longitude in the following order: W, S, E, and N.\n",
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"* `temporal` - sets a temporal filter by specifying a start and end date in the format YYYY-MM-DD.\n",
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"* `count` - this sets the maximum number of granules that will be returned in the search\n",
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"results_dem = earthaccess.search_data(\n",
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" short_name='NSIDC-0715',\n",
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" version='2',\n",
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" cloud_hosted=False,\n",
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" bounding_box=(-33.45,68.29,-31.41,69.26),\n",
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" temporal=('2015-12-01','2015-12-31'),\n",
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" count=100\n",
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"results_vel = earthaccess.search_data(\n",
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" short_name='NSIDC-0481',\n",
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" version='4',\n",
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" cloud_hosted=False,\n",
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" bounding_box=(-33.45,68.29,-31.41,69.26),\n",
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" temporal=('2017-01-01','2017-12-31'),\n",
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" count=100\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.15"
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"version": "3.9.18"
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}
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},
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"nbformat": 4,

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