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Data received from Austin Water as part of public information request: PIR 32348 on February 16, 2017. Locations are the nearest street address and no other contextual information was given.
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Parsing the data, working out the columns and other details are in `notebooks/0_process_data/process_austin_leaks.ipynb`.
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----------
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Dates are in US/Central timezone.
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Locations seem to be EPSG:6578.
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Columns:
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The columns are unlabelled but the top left 47486 match leaks pending inspections https://services1.arcgis.com/PuB3FWUAxkScvfQy/ArcGIS/rest/services/LPI/FeatureServer/0
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The bottom right data matches leak pending repair https://services1.arcgis.com/PuB3FWUAxkScvfQy/ArcGIS/rest/services/LWOPR/FeatureServer/0
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```py
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columns = [
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'OBJECTID',
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'INSPFLAG',
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'PRI',
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'PROB',
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'PROBDTTM', # Problem datetime US/Central timezone.
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'SCHEDDTTM', # Scheduled datetime US/Central timezone.
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'SERVNO',
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'MAPNO',
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'STARTDTTM', # Start datetime US/Central timezone.
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'PROBCODE',
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'PROBDESC',
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'CITY',
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'PREDIR',
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'STNAME',
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'STNO',
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'STSUB',
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'SUFFIX',
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'ZIP',
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'ADDRKEY',
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'FullStreetName',
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'X', # X location in EPSG:6578
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'Y', # Y location in EPSG:6578
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'22', # CMPLKEY (Complementary key?, INT)?, SERVER (nah thats 47486-627096, Objectid (no too high)?? 1913-1496485.
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'QTYCALLS', # Quantity of calls?
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'INITDTTM', # Initial date time US/Central timezone.
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'WONO', # Work order number?
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'LOC',
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'DESCRIPT', # Description
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'COMPDTTM' # Completion data time US/Central timezone.
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]
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```
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The information here is from FOI request to South Australia Water. FOI id "SN840 - FOI Determination - Leak repair work orders"
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Date: Thursday, March 23, 2017 1:47 PM
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The time column is report data, so hopefully it's the time of repair as I asked not the time that the leak was reported. I will clarify this...
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Files:
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- script_metadata.json - information on scraping script
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- data.h5 contains X and y
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- X: tiff files for each band loaded into an array of shape (Leak, Bands, width, length)
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- y: True for before the leak, False for after
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- data_metadata: array of metadata for each leak in X. Each contain info on leak, image, and image search
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Loading:
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```py
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# load
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metadatas = json.load(open('data_metadata.json'))
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with h5py.File('data.h5','r') as h5f:
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X2 = h5f['X'][:]
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y2 = h5f['y'][:]
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y
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```
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{"temp_dir": "/tmp/scraping_earth_engine_NAIP_all_v2", "bands": ["R", "G", "B", "N"], "resolution_min": 1.0, "ts": "20170321-02-54-41", "crs_grid": 3857, "notebook_name": "scraping_earth_engine_NAIP_all_v2", "cache_dir": "../data/downloaded_images-scraping_earth_engine_NAIP_all_v2-USDA-NAIP-DOQQ/cache", "pixel_length": 129.0, "output_dir": "../data/downloaded_images-scraping_earth_engine_NAIP_all_v2-USDA-NAIP-DOQQ", "satellite": "USDA/NAIP/DOQQ", "time_bin_delta": 2419200}
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Files:
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- script_metadata.json - information on scraping script
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- data.h5 contains X and y
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- X: tiff files for each band loaded into an array of shape (Leak, Bands, width, length)
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- y: True for before the leak, False for after
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- data_metadata: array of metadata for each leak in X. Each contain info on leak, image, and image search
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Loading:
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```py
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# load
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metadatas = json.load(open('data_metadata.json'))
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with h5py.File('data.h5','r') as h5f:
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X2 = h5f['X'][:]
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y2 = h5f['y'][:]
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y
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```
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{"resolution_min": 15.0, "crs_grid": 3857, "output_dir": "../data/20170314-05-26-52_testing_earth_engine-l7-AUTX_v2", "ts": "20170318-10-08-12", "satellite": "LANDSAT/LE7_L1T", "notebook_name": "testing_earth_engine-l7-AUTX", "bands": ["B1", "B2", "B3", "B4", "B5", "B6_VCID_1", "B6_VCID_2", "B7", "B8"], "cache_dir": "../data/20170314-05-26-52_testing_earth_engine-l7-AUTX_v2/ee_l7_AUTX-leaks_cache_v2", "pixel_length": 25.0, "temp_dir": "/tmp/testing_earth_engine-l7-AUTX-48wtrw24-20170318-10-08-12"}
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Files:
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- script_metadata.json - information on scraping script
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- data.h5 contains X and y
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- X: tiff files for each band loaded into an array of shape (Leak, Bands, width, length)
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- y: True for before the leak, False for after
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- data_metadata: array of metadata for each leak in X. Each contain info on leak, image, and image search
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Loading:
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```py
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# load
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metadatas = json.load(open('data_metadata.json'))
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with h5py.File('data.h5','r') as h5f:
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X2 = h5f['X'][:]
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y2 = h5f['y'][:]
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y
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```
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{
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"resolution_min": 15.0,
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"notebook_name": "testing_earth_engine-l8-AUTX_v2",
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"satellite": "LANDSAT/LC8_L1T",
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"pixel_length": 25.0,
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"crs_grid": 3857,
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"time_bin_delta": 2419200,
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"cache_dir": "../data/20170314-05-26-52_testing_earth_engine-l8-AUTX_v2/ee_l8_AUTX-leaks_cache_v2/ATX_",
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"ts": "20170321-02-12-16",
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"temp_dir": "/tmp/testing_earth_engine-l8-AUTX_v2-82dzkbkv-20170321-02-12-16",
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"output_dir": "../data/20170314-05-26-52_testing_earth_engine-l8-AUTX_v2",
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"bands": ["B1", "B2", "B3", "B4", "B5", "B6", "B7", "B8", "B9", "B10", "B11", "BQA"]
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}
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Files:
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- script_metadata.json - information on scraping script
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- data.h5 contains X and y
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- X: tiff files for each band loaded into an array of shape (Leak, Bands, width, length)
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- y: True for before the leak, False for after
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- data_metadata: array of metadata for each leak in X. Each contain info on leak, image, and image search
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Loading:
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```py
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# load
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metadatas = json.load(open('data_metadata.json'))
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with h5py.File('data.h5','r') as h5f:
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X2 = h5f['X'][:]
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y2 = h5f['y'][:]
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y
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```
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{"ts": "20170318-10-39-35", "satellite": "COPERNICUS/S1_GRD", "crs_grid": 3857, "bands": ["VV", "HH", "VH", "HV", "angle"], "resolution_min": 10.0, "output_dir": "../data/downloaded_images_scraping_earth_engine_s1-all_COPERNICUS-S1_GRD", "temp_dir": "/tmp/scraping_earth_engine_s1-all", "notebook_name": "scraping_earth_engine_s1-all", "pixel_length": 25.0, "cache_dir": "../data/downloaded_images_scraping_earth_engine_s1-all_COPERNICUS-S1_GRD/cache", "time_bin_delta": 2419200}
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Files:
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- script_metadata.json - information on scraping script
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- data.h5 contains X and y
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- X: tiff files for each band loaded into an array of shape (Leak, Bands, width, length)
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- y: True for before the leak, False for after
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- data_metadata: array of metadata for each leak in X. Each contain info on leak, image, and image search
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Loading:
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```py
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# load
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metadatas = json.load(open('data_metadata.json'))
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with h5py.File('data.h5','r') as h5f:
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X2 = h5f['X'][:]
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y2 = h5f['y'][:]
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y
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```
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{
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"bands": ["B1", "B2", "B3", "B4", "B5", "B6", "B7", "B8", "B8A", "B9", "B10", "B11", "B12", "QA60"],
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"crs_grid": 3857,
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"ts": "20170316-06-09-45",
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"output_dir": "../data/downloaded_images_image_testing_earth_engine_s2-AUTX_v6_COPERNICUS-S2",
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"temp_dir": "/tmp/image_testing_earth_engine_s2-AUTX_v6",
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"satellite": "COPERNICUS/S2",
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"pixel_length": 25.0,
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"resolution_min": 10.0,
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"notebook_name": "image_testing_earth_engine_s2-AUTX_v6",
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"cache_dir": "../data/downloaded_images_image_testing_earth_engine_s2-AUTX_v6_COPERNICUS-S2/cache"
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}
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