COUNT_LOW_294_147.49_-39.38_20000101_20170101_PER_20.nc

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

Fields 🔗

creation_time 2017-05-15 06:00:32 🔍 format NetCDF id 3a4ba6ea-ad97-4366-a7fc-a1547d040be3 🔍 instrument • 🔍 label • 🔍 lat -39.87 to -38.914 🔍 lon 146.977 to 147.955 🔍 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_13_-45_2003_v1496761911.nc#part=3
LS7_ETM_PQ_3577_13_-45_2000_v1501877138.nc#part=20
LS7_ETM_NBAR_3577_13_-45_2001_v1496652587.nc#part=26
LS7_ETM_NBAR_3577_13_-45_2001_v1496652587.nc#part=29
LS7_ETM_PQ_3577_13_-45_2000_v1501877138.nc#part=12
LS7_ETM_NBAR_3577_13_-45_2002_v1496652605.nc#part=14
LS7_ETM_NBAR_3577_13_-45_2002_v1496652605.nc#part=21
LS7_ETM_NBAR_3577_13_-44_2001_v1496652587.nc#part=24
LS7_ETM_NBAR_3577_13_-44_2003_v1496653865.nc#part=15
LS5_TM_NBAR_3577_13_-45_2005_v1496825697.nc#part=18
LS5_TM_NBAR_3577_13_-44_2005_v1496825697.nc#part=13
LS7_ETM_NBAR_3577_13_-45_2002_v1496652605.nc#part=12
LS5_TM_NBAR_3577_13_-44_2003_v1496761911.nc#part=2
LS7_ETM_NBAR_3577_13_-44_2001_v1496652587.nc#part=23
LS5_TM_NBAR_3577_13_-45_2005_v1496825697.nc#part=7
LS7_ETM_NBAR_3577_13_-45_2002_v1496652605.nc#part=13
LS7_ETM_NBAR_3577_13_-44_2002_v1496652605.nc#part=11
LS7_ETM_PQ_3577_13_-44_2000_v1501877138.nc#part=17
LS7_ETM_NBAR_3577_13_-45_2003_v1496653865.nc#part=19
LS7_ETM_NBAR_3577_13_-45_2001_v1496652587.nc#part=32
LS7_ETM_NBAR_3577_13_-44_2002_v1496652605.nc#part=17
LS7_ETM_PQ_3577_13_-44_2000_v1501877138.nc#part=10
LS7_ETM_NBAR_3577_13_-45_2002_v1496652605.nc#part=20
LS7_ETM_PQ_3577_13_-44_2000_v1501877138.nc#part=16
LS7_ETM_NBAR_3577_13_-44_2001_v1496652587.nc#part=21
LS7_ETM_NBAR_3577_13_-45_2003_v1496653865.nc#part=20
LS7_ETM_NBAR_3577_13_-45_2001_v1496652587.nc#part=30
LS7_ETM_PQ_3577_13_-45_2000_v1501877138.nc#part=19
LS7_ETM_NBAR_3577_13_-44_2002_v1496652605.nc#part=16
LS7_ETM_NBAR_3577_13_-44_2001_v1496652587.nc#part=26
... 206 more
COUNT_LOW_294_147.49_-39.38_20000101_20170101_PER_20.nc

Location 🔗

file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/netcdf/COUNT_LOW_294_147.49_-39.38_20000101_20170101_PER_20.nc

Archived :
file:///g/data/fk4/datacube/002/HLTC/HLTC_2_0/COUNT_LOW_294_147.49_-39.38_20000101_20170101_PER_20.nc

Metadata Document 🔗

RAW As Stac
id: 3a4ba6ea-ad97-4366-a7fc-a1547d040be3
product_type: tidal_composite
creation_dt: 2017-05-15T06:00:32.192866
format:
name: NetCDF
extent:
coord:
ll:
lat: -39.86981368368822
lon: 147.10669299406854
lr:
lat: -39.787587626487756
lon: 147.95464225992507
ul:
lat: -38.994901168116336
lon: 146.97659802165728
ur:
lat: -38.91368285016391
lon: 147.81739138478974
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: [
[
[
1308575.0
-4340725.0
]
[
1382775.0
-4340725.0
]
[
1382775.0
-4437300.0
]
[
1308575.0
-4437300.0
]
[
1308575.0
-4340725.0
]
]
]
geo_ref_points:
ll:
x: 1308575.0
y: -4437300.0
lr:
x: 1382775.0
y: -4437300.0
ul:
x: 1308575.0
y: -4340725.0
ur:
x: 1382775.0
y: -4340725.0
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:
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': 'LOW composite'}, 'sources': [{'product': 'ls5_nbar_albers', 'name': 'intertidal_low', '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_low', '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_low', '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/output_low_3', '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': 1000, 'y': 1000}}, 'output_products': [{'name': 'tidal_low', '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 LOW'}, {'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 LOW'}], 'tide_class': {'product': 'low', 'percent': 20, 'global_epoch_start': '2000-01-01', 'global_epoch_end': '2017-01-01', 'feature_id': [294]}}
machine:
uname: Linux r2385 3.10.0-327.36.3.el6.x86_64 #1 SMP Wed Jan 25 05:38:43 UTC 2017 x86_64
hostname: r2385
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: 20
min: 0
name: low