COUNT_HIGH_260_150.25_-22.3_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 17:37:38 🔍 format NetCDF id b2b8269a-1ce2-4005-ab79-5615d7b49f19 🔍 instrument • 🔍 label • 🔍 lat -22.811 to -21.892 🔍 lon 149.937 to 150.56 🔍 platform • 🔍 product_type tidal_composite time 2000-01-01 00:00:00 to 2016-10-31 00:00:00 🔍

Related Datasets 🔗

LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=23
LS5_TM_NBAR_3577_18_-26_1998_v1496755746.nc#part=18
LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=5
LS5_TM_PQ_3577_18_-25_1998_v1501870626.nc#part=11
LS5_TM_PQ_3577_18_-25_1998_v1501870626.nc#part=29
LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=11
LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=67
LS5_TM_NBAR_3577_18_-26_1995_v1496740448.nc#part=11
LS5_TM_PQ_3577_18_-25_2004_v1501872355.nc#part=7
LS5_TM_PQ_3577_18_-25_1998_v1501870626.nc#part=33
LS5_TM_PQ_3577_18_-25_1999_v1501871327.nc#part=31
LS5_TM_NBAR_3577_18_-26_1995_v1496740448.nc#part=8
LS5_TM_PQ_3577_18_-26_2003_v1501871971.nc#part=23
LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=24
LS5_TM_PQ_3577_18_-25_1999_v1501871327.nc#part=8
LS5_TM_PQ_3577_18_-26_1998_v1501870626.nc#part=50
LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=4
LS5_TM_PQ_3577_18_-26_1998_v1501870626.nc#part=47
LS5_TM_PQ_3577_18_-26_1998_v1501870626.nc#part=19
LS5_TM_PQ_3577_18_-26_1999_v1501871327.nc#part=53
LS5_TM_PQ_3577_18_-26_1997_v1501870047.nc#part=16
LS5_TM_PQ_3577_18_-26_2004_v1501872355.nc#part=10
LS5_TM_PQ_3577_18_-26_1999_v1501871327.nc#part=19
LS5_TM_PQ_3577_18_-25_2004_v1501872355.nc#part=2
LS5_TM_PQ_3577_18_-26_1999_v1501871327.nc#part=18
LS5_TM_NBAR_3577_18_-25_1998_v1496755746.nc#part=18
LS5_TM_PQ_3577_18_-26_1998_v1501870626.nc#part=51
LS5_TM_PQ_3577_18_-26_1998_v1501870626.nc#part=18
LS5_TM_PQ_3577_18_-25_1997_v1501870047.nc#part=7
LS5_TM_NBAR_3577_18_-26_1998_v1496755746.nc#part=19
... 256 more
COUNT_HIGH_260_150.25_-22.3_19950101_20170101_PER_20.nc

Location 🔗

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/netcdf/COUNT_HIGH_260_150.25_-22.3_19950101_20170101_PER_20.nc

Archived :
file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/COUNT_HIGH_260_150.25_-22.3_19950101_20170101_PER_20.nc

Metadata Document 🔗

RAW As Stac
id: b2b8269a-1ce2-4005-ab79-5615d7b49f19
product_type: tidal_composite
creation_dt: 2017-06-08T17:37:38.363692
format:
name: NetCDF
extent:
coord:
ll:
lat: -22.810805246849437
lon: 150.06941067985306
lr:
lat: -22.746351498400347
lon: 150.55993979981054
ul:
lat: -21.956144773479473
lon: 149.93674999765602
ur:
lat: -21.892076048189736
lon: 150.42377720838982
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: [
[
[
1831800.0
-2490875.0
]
[
1882225.0
-2490875.0
]
[
1882225.0
-2587300.0
]
[
1831800.0
-2587300.0
]
[
1831800.0
-2490875.0
]
]
]
geo_ref_points:
ll:
x: 1831800.0
y: -2587300.0
lr:
x: 1882225.0
y: -2587300.0
ul:
x: 1831800.0
y: -2490875.0
ur:
x: 1882225.0
y: -2490875.0
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': [260]}}
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