COUNT_HIGH_4_148.28_-19.63_19950101_20170101_PER_20.nc

dataset of product high_tide_comp_count
Indexed by adh547 , created
for 1st June 2008

Fields 🔗

creation_time 2017-06-08 14:48:32 🔍 format NetCDF id 044481a5-42a3-4dcf-b112-86f9441e409e 🔍 instrument • 🔍 label • 🔍 lat -20.595 to -18.982 🔍 lon 147.426 to 148.739 🔍 platform • 🔍 product_type tidal_composite time 2000-01-01 00:00:00 to 2016-10-31 00:00:00 🔍

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COUNT_HIGH_4_148.28_-19.63_19950101_20170101_PER_20.nc

Location 🔗

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/netcdf/COUNT_HIGH_4_148.28_-19.63_19950101_20170101_PER_20.nc

Archived :
file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/COUNT_HIGH_4_148.28_-19.63_19950101_20170101_PER_20.nc

Metadata Document 🔗

RAW As Stac
id: 044481a5-42a3-4dcf-b112-86f9441e409e
product_type: tidal_composite
creation_dt: 2017-06-08T14:48:32.574044
format:
name: NetCDF
extent:
coord:
ll:
lat: -20.594832583995363
lon: 147.61849349807665
lr:
lat: -20.461935985433453
lon: 148.7390677727394
ul:
lat: -19.113376942849236
lon: 147.42567390233572
ur:
lat: -18.981681439083864
lon: 148.53271553894663
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: [
[
[
1614825.0
-2143200.0
]
[
1731975.0
-2143200.0
]
[
1731975.0
-2309125.0
]
[
1614825.0
-2309125.0
]
[
1614825.0
-2143200.0
]
]
]
geo_ref_points:
ll:
x: 1614825.0
y: -2309125.0
lr:
x: 1731975.0
y: -2309125.0
ul:
x: 1614825.0
y: -2143200.0
ur:
x: 1731975.0
y: -2143200.0
spatial_reference: EPSG:3577
image:
bands:
count_observations:
path:
layer: count_observations
lineage:
algorithm:
name: datacube-stats
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': [4]}}
machine:
uname: Linux r4518 3.10.0-327.36.3.el6.x86_64 #1 SMP Wed Jan 25 05:38:43 UTC 2017 x86_64
hostname: r4518
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:
name: clearcount
source: pq
tidal_range:
max: 100
min: 80
name: high