COMPOSITE_HIGH_248_144.87_-38.04_20000101_20170101_PER_20.nc

dataset of product high_tide_comp_20p
Indexed by adh547 , created
for 1st June 2008

Fields 🔗

creation_time 2017-05-27 11:24:28 🔍 format NetCDF id 80ec70c4-5826-4907-bbf3-f20e5e024847 🔍 instrument • 🔍 label • 🔍 lat -38.374 to -37.272 🔍 lon 143.968 to 145.834 🔍 platform • 🔍 product_type tidal_composite time 2000-01-01 00:00:00 to 2016-10-31 00:00:00 🔍

Related Datasets 🔗

LS5_TM_NBAR_3577_10_-42_2009_v1498830006.nc#part=0
LS5_TM_NBAR_3577_11_-43_2010_v1496827069.nc#part=19
LS5_TM_NBAR_3577_11_-42_2010_v1496827069.nc#part=16
LS5_TM_NBAR_3577_11_-43_2009_v1496827052.nc#part=13
LS5_TM_NBAR_3577_11_-42_2009_v1498830006.nc#part=4
LS5_TM_NBAR_3577_11_-43_2008_v1498830136.nc#part=23
LS5_TM_NBAR_3577_11_-42_2009_v1498830006.nc#part=1
LS5_TM_NBAR_3577_12_-42_2009_v1496827052.nc#part=21
LS5_TM_NBAR_3577_11_-43_2009_v1496827052.nc#part=4
LS5_TM_NBAR_3577_11_-43_2009_v1496827052.nc#part=6
LS5_TM_NBAR_3577_12_-42_2010_v1496827069.nc#part=14
LS5_TM_NBAR_3577_12_-43_2010_v1496827069.nc#part=12
LS5_TM_NBAR_3577_11_-43_2004_v1496825679.nc#part=5
LS5_TM_NBAR_3577_11_-42_2003_v1496761911.nc#part=21
LS5_TM_NBAR_3577_11_-43_2010_v1496827069.nc#part=7
LS5_TM_NBAR_3577_11_-43_2010_v1496827069.nc#part=6
LS5_TM_NBAR_3577_11_-43_2003_v1496761911.nc#part=22
LS5_TM_NBAR_3577_11_-43_2009_v1496827052.nc#part=14
LS5_TM_NBAR_3577_10_-42_2009_v1498830006.nc#part=1
LS5_TM_NBAR_3577_10_-43_2011_v1496827078.nc#part=5
LS5_TM_NBAR_3577_10_-43_2009_v1498830006.nc#part=0
LS5_TM_NBAR_3577_10_-43_2009_v1498830006.nc#part=2
LS5_TM_NBAR_3577_11_-43_2009_v1496827052.nc#part=3
LS5_TM_NBAR_3577_12_-42_2004_v1496825679.nc#part=6
LS5_TM_NBAR_3577_11_-42_2009_v1498830006.nc#part=12
LS5_TM_NBAR_3577_11_-42_2010_v1496827069.nc#part=5
LS5_TM_NBAR_3577_11_-42_2011_v1496827078.nc#part=3
LS5_TM_NBAR_3577_11_-43_2009_v1496827052.nc#part=0
LS5_TM_NBAR_3577_11_-42_2004_v1496825679.nc#part=45
LS5_TM_NBAR_3577_12_-43_2009_v1498830006.nc#part=14
... 659 more
COMPOSITE_HIGH_248_144.87_-38.04_20000101_20170101_PER_20.nc

Location 🔗

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/netcdf/COMPOSITE_HIGH_248_144.87_-38.04_20000101_20170101_PER_20.nc

Archived :
file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/COMPOSITE_HIGH_248_144.87_-38.04_20000101_20170101_PER_20.nc

Metadata Document 🔗

RAW As Stac
id: 80ec70c4-5826-4907-bbf3-f20e5e024847
product_type: tidal_composite
creation_dt: 2017-05-27T11:24:28.260402
format:
name: NetCDF
extent:
coord:
ll:
lat: -38.37374096957015
lon: 144.08079756039663
lr:
lat: -38.230854604304724
lon: 145.834232248366
ul:
lat: -37.41278552900827
lon: 143.96778678039496
ur:
lat: -37.27171509011092
lon: 145.7050561115277
to_dt: 2016-10-31T00:00:00
key_dt: 2016-10-31T00:00:00
from_dt: 2000-01-01T00:00:00
center_dt: 2000-01-01T00:00:00
grid_spatial:
projection:
valid_data:
type: Polygon
coordinates: [
[
[
1062850.0
-4240817.384551525
]
[
1062850.0
-4139475.0
]
[
1218250.0
-4139475.0
]
[
1218250.0
-4245925.0
]
[
1077875.8952409723
-4245925.0
]
[
1062850.0
-4240817.384551525
]
]
]
geo_ref_points:
ll:
x: 1062850.0
y: -4245925.0
lr:
x: 1218250.0
y: -4245925.0
ul:
x: 1062850.0
y: -4139475.0
ur:
x: 1218250.0
y: -4139475.0
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:
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:
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': '2000-01-01', 'end_date': '2017-01-01', 'stats_duration': '17y', 'step_size': '17y', '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': '2000-01-01', 'global_epoch_end': '2017-01-01', 'percent': 20, 'feature_id': [248]}}
machine:
uname: Linux r3456 3.10.0-327.36.3.el6.x86_64 #1 SMP Wed Jan 25 05:38:43 UTC 2017 x86_64
hostname: r3456
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: precisegeomedian
source: nbar
tidal_range:
max: 100
min: 80
name: high