ITEM_REL_251_133.64

creation_dt 2017-06-28T02:42:33.188881 creation_time 2017-06-28 02:42:33 format NetCDF id 315b3aee-95d3-466e-9407-220da607b617 instrument • label • lat -12.349 to -10.989 lon 133.067 to 134.015 platform • product_type ITEM time 1986-01-01 00:00:00 to 2016-10-31 23:59:59

Locations

Active:

file:///g/data/fk4/datacube/002/ITEM/ITEM_2_0/netcdf/ITEM_REL_251_133.64_-11.56.nc

Archived 3 years ago:

file:///g/data/fk4/datacube/002/ITEM/ITEM_2_0/ITEM_REL_251_133.64_-11.56.nc

Metadata Document

RAW As Stac

id: 315b3aee-95d3-466e-9407-220da607b617

product_type: ITEM

creation_dt: 2017-06-28T02:42:33.188881

format:

extent:

coord:

ll:

lat: -12.348620688182478

lon: 133.07758240187246

lr:

lat: -12.33704931224094

lon: 134.01509970055

ul:

lat: -11.000515565163248

lon: 133.0665738587935

ur:

lat: -10.988998845023948

lon: 133.99451591520926

to_dt: 2016-10-31T23:59:59

key_dt: 2016-10-31T23:59:59

from_dt: 1986-01-01T00:00:00

center_dt: 1986-01-01T00:00:00

grid_spatial:

projection:

valid_data:

type: Polygon

coordinates: [

[

183687.70765705558

-1156575.0

]

[

119350.0

-1287424.1553398059

]

[

119350.0

-1288217.3076923077

]

[

119650.0

-1297125.0

]

[

119700.0

-1297350.0

]

[

175150.0

-1302475.0

]

[

177175.0

-1302600.0

]

[

179775.0

-1302625.0

]

[

179825.0

-1302550.0

]

[

223200.0

-1178625.0

]

[

223200.0

-1178525.0

]

[

223125.0

-1178475.0

]

[

183744.9543899658

-1156575.0

]

[

183687.70765705558

-1156575.0

]

geo_ref_points:

ll:

x: 119350.0

y: -1302625.0

lr:

x: 223200.0

y: -1302625.0

ul:

x: 119350.0

y: -1156575.0

ur:

x: 223200.0

y: -1156575.0

spatial_reference: EPSG:3577

image:

bands:

relative:

path:

layer: relative

lineage:

algorithm:

version: 0.4b1

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

parameters:

configuration_file: {'global_attributes': {'title': 'ITEM'}, 'sources': [{'product': 'ls5_nbar_albers', 'name': 'ITEM', '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': 'ITEM', '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': 'ITEM', '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': '1986-01-01', 'end_date': '2017-01-01', 'stats_duration': '31y', 'step_size': '31y', 'type': 'simple'}, 'location': '/g/data/r78/ITEM/OUTPUT_GA', 'input_region': {'from_file': '/g/data/r78/ITEM/TM_compute.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': 'med_ndwi', 'statistic': 'medndwi', 'output_params': {'zlib': True, 'fletcher32': True}, 'file_path_template': '{x}_{y}_{epoch_start:%Y%m%d}_{epoch_end:%Y%m%d}_{stat_name}_PER_{percent}.nc', 'product_type': 'ITEM'}], 'tide_class': {'product': 'item', 'range_percent': 10, 'percent': 90, 'ls7_slc_off': False, 'global_epoch_start': '1986-01-01', 'global_epoch_end': '2017-01-01', 'feature_id': [251]}}

machine:

uname: Linux r4510 3.10.0-327.36.3.el6.x86_64 #1 SMP Wed Jan 25 05:38:43 UTC 2017 x86_64

hostname: r4510

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: