COMPOSITE_HIGH_259_143.67_-12.96_19950101_20170101_PER

creation_dt 2017-06-08T16:23:17.227531 creation_time 2017-06-08 16:23:17 format NetCDF id 26be86a9-70b2-4a7b-a5f4-7b2fca6d06d9 instrument • label • lat -13.669 to -12.512 lon 142.829 to 144.421 platform • product_type tidal_composite time 2000-01-01 00:00:00 to 2016-10-31 00:00:00

Locations

Active:

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/netcdf/COMPOSITE_HIGH_259_143.67_-12.96_19950101_20170101_PER_20.nc

Archived 3 years ago:

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/COMPOSITE_HIGH_259_143.67_-12.96_19950101_20170101_PER_20.nc

Metadata Document

RAW As Stac

id: 26be86a9-70b2-4a7b-a5f4-7b2fca6d06d9

product_type: tidal_composite

creation_dt: 2017-06-08T16:23:17.227531

format:

extent:

coord:

ll:

lat: -13.668945192867124

lon: 142.91487435124355

lr:

lat: -13.530319757754096

lon: 144.42099364828988

ul:

lat: -12.650111840170757

lon: 142.8288300122057

ur:

lat: -12.51204377398005

lon: 144.32321537057436

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

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

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

center_dt: 1995-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

1195175.0

-1385575.0

]

[

1361075.0

-1385575.0

]

[

1361075.0

-1497000.0

]

[

1195175.0

-1497000.0

]

[

1195175.0

-1385575.0

]

geo_ref_points:

ll:

x: 1195175.0

y: -1497000.0

lr:

x: 1361075.0

y: -1497000.0

ul:

x: 1195175.0

y: -1385575.0

ur:

x: 1361075.0

y: -1385575.0

spatial_reference: EPSG:3577

image:

bands:

nir:

path:

layer: nir

red:

path:

layer: red

blue:

path:

layer: blue

green:

path:

layer: green

swir1:

path:

layer: swir1

swir2:

path:

layer: swir2

lineage:

algorithm:

version: 0.4b1

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

parameters:

configuration_file: {'global_attributes': {'title': 'HIGH composite'}, 'sources': [{'product': 'ls5_nbar_albers', 'name': 'intertidal_high', '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': 'ls7_nbar_albers', 'name': 'intertidal_high', 'measurements': ['blue', 'green', 'red', 'nir', 'swir1', 'swir2'], 'group_by': 'solar_day', 'masks': [{'product': 'ls7_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_high', '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': '1995-01-01', 'end_date': '2017-01-01', 'stats_duration': '22y', 'step_size': '22y', 'type': 'simple'}, 'location': '/g/data/r78/intertidal/PRODUCT_HIGH', 'input_region': {'from_file': '/g/data/r78/intertidal/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': 800, 'y': 800}}, 'output_products': [{'name': 'tidal_high', '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 HIGH'}, {'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 HIGH'}], 'tide_class': {'product': 'high', 'global_epoch_start': '1995-01-01', 'global_epoch_end': '2017-01-01', 'percent': 20, 'feature_id': [259]}}

machine:

uname: Linux r4517 3.10.0-327.36.3.el6.x86_64 #1 SMP Wed Jan 25 05:38:43 UTC 2017 x86_64

hostname: r4517

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: nbar

tidal_range:

max: 100

min: 80