COUNT_LOW_35_136.26_-34.71_20100101_20170101_PER

creation_time 2017-05-07 09:30:48 format NetCDF id a883deff-890b-4dc1-a45d-9d1f424e8f1a instrument • label • lat -35.195 to -33.644 lon 135.534 to 136.725 platform • product_type tidal_composite time 2000-01-01 00:00:00 to 2016-10-31 00:00:00

Location 🔗

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/netcdf/COUNT_LOW_35_136.26_-34.71_20100101_20170101_PER_20.nc

Archived 5 years ago:

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/COUNT_LOW_35_136.26_-34.71_20100101_20170101_PER_20.nc

Metadata Document 🔗

RAW As Stac

id: a883deff-890b-4dc1-a45d-9d1f424e8f1a

product_type: tidal_composite

creation_dt: 2017-05-07T09:30:48.213240

format:

extent:

coord:

ll:

lat: -35.19516788817477

lon: 135.586070275216

lr:

lat: -35.1648758455488

lon: 136.72520281939833

ul:

lat: -33.6741271177796

lon: 135.5344680379875

ur:

lat: -33.64437119544489

lon: 136.65723461442195

to_dt: 2016-10-31T00:00:00

key_dt: 2016-10-31T00:00:00

from_dt: 2000-01-01T00:00:00

center_dt: 2010-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

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geo_ref_points:

ll:

x: 325800.0

y: -3848400.0

lr:

x: 429375.0

y: -3848400.0

ul:

x: 325800.0

y: -3678900.0

ur:

x: 429375.0

y: -3678900.0

spatial_reference: PROJCS["GDA94_Australian_Albers",GEOGCS["GCS_GDA_1994",DATUM["Geocentric_Datum_of_Australia_1994",SPHEROID["GRS_1980",6378137,298.257222101]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],PROJECTION["Albers_Conic_Equal_Area"],PARAMETER["standard_parallel_1",-18],PARAMETER["standard_parallel_2",-36],PARAMETER["latitude_of_center",0],PARAMETER["longitude_of_center",132],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Meter",1]]

image:

bands:

count_observations:

path:

layer: count_observations

lineage:

algorithm:

version: 0.4b1

repo_url: https://github.com/GeoscienceAustralia/agdc_statistics.git

parameters:

configuration_file: {'global_attributes': {'title': 'LOW composite'}, 'sources': [{'product': 'ls5_nbar_albers', 'name': 'intertidal_low', 'measurements': ['blue', 'green', 'red', 'nir', 'swir1', 'swir2'], 'group_by': 'solar_day', 'masks': [{'product': 'ls5_pq_albers', 'measurement': 'pixelquality', 'group_by': 'solar_day', 'fuse_func': 'datacube.helpers.ga_pq_fuser', 'flags': {'contiguous': True, 'cloud_acca': 'no_cloud', 'cloud_fmask': 'no_cloud', 'cloud_shadow_acca': 'no_cloud_shadow', 'cloud_shadow_fmask': 'no_cloud_shadow', 'blue_saturated': False, 'green_saturated': False, 'red_saturated': False, 'nir_saturated': False, 'swir1_saturated': False, 'swir2_saturated': False}}]}, {'product': 'ls8_nbar_albers', 'name': 'intertidal_low', 'measurements': ['blue', 'green', 'red', 'nir', 'swir1', 'swir2'], 'group_by': 'solar_day', 'masks': [{'product': 'ls8_pq_albers', 'measurement': 'pixelquality', 'group_by': 'solar_day', 'fuse_func': 'datacube.helpers.ga_pq_fuser', 'flags': {'contiguous': True, 'cloud_acca': 'no_cloud', 'cloud_fmask': 'no_cloud', 'cloud_shadow_acca': 'no_cloud_shadow', 'cloud_shadow_fmask': 'no_cloud_shadow', 'blue_saturated': False, 'green_saturated': False, 'red_saturated': False, 'nir_saturated': False, 'swir1_saturated': False, 'swir2_saturated': False}}]}], 'date_ranges': {'start_date': '2010-01-01', 'end_date': '2017-01-01', 'stats_duration': '7y', 'step_size': '7y', 'type': 'simple'}, 'location': '/g/data/r78/bxb547/TIDE_MODEL/output_low', 'input_region': {'from_file': '/g/data/r78/bxb547/TIDE_MODEL/GA_tidal_model.shp'}, 'storage': {'driver': 'NetCDFCF', 'crs': 'EPSG:3577', 'tile_size': {'x': 100000.0, 'y': 100000.0}, 'resolution': {'x': 25, 'y': -25}, 'chunking': {'x': 200, 'y': 200, 'time': 1}, 'dimension_order': ['time', 'y', 'x']}, 'computation': {'chunking': {'x': 400, 'y': 400}}, 'output_products': [{'name': 'tidal_low', 'statistic': 'precisegeomedian', 'output_params': {'zlib': True, 'fletcher32': True}, 'file_path_template': 'COMPOSITE_{x}_{y}_{epoch_start:%Y%m%d}_{epoch_end:%Y%m%d}_PER_{percent}.nc', 'product_type': 'COMPOSITE LOW'}, {'name': 'tidal_count', 'statistic': 'clearcount', 'output_params': {'zlib': True, 'fletcher32': True}, 'file_path_template': 'COUNT_{x}_{y}_{epoch_start:%Y%m%d}_{epoch_end:%Y%m%d}_PER_{percent}.nc', 'product_type': 'COMPOSITE LOW'}], 'tide_class': {'product': 'low', 'percent': 20, 'global_epoch_start': '2010-01-01', 'global_epoch_end': '2017-01-01', 'feature_id': [35]}}

machine:

uname: Linux r2507 3.10.0-327.36.3.el6.x86_64 #1 SMP Wed Jan 25 05:38:43 UTC 2017 x86_64

hostname: r2507

software_versions:

python:

version: 3.6.1 | packaged by conda-forge | (default, Mar 23 2017, 21:05:12) [GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]

datacube:

version: 1.3.2

repo_url: https://github.com/opendatacube/datacube-core.git

source_datasets:

statistic:

source: pq

tidal_range:

max: 20

min: 0